pytorch-image-models/results/results-imagenet-a-clean.csv

1	model	img_size	top1	top1_err	top5	top5_err	param_count	crop_pct	interpolation
2	eva02_large_patch14_448.mim_in22k_ft_in22k_in1k	448	98.940	1.060	99.910	0.090	305.08	1.000	bicubic
3	eva02_large_patch14_448.mim_in22k_ft_in1k	448	98.850	1.150	99.840	0.160	305.08	1.000	bicubic
4	eva02_large_patch14_448.mim_m38m_ft_in22k_in1k	448	98.830	1.170	99.880	0.120	305.08	1.000	bicubic
5	eva_giant_patch14_560.m30m_ft_in22k_in1k	560	98.820	1.180	99.900	0.100	1,014.45	1.000	bicubic
6	eva_giant_patch14_336.m30m_ft_in22k_in1k	336	98.810	1.190	99.900	0.100	1,013.01	1.000	bicubic
7	eva_giant_patch14_336.clip_ft_in1k	336	98.810	1.190	99.820	0.180	1,013.01	1.000	bicubic
8	eva_large_patch14_336.in22k_ft_in22k_in1k	336	98.750	1.250	99.810	0.190	304.53	1.000	bicubic
9	eva02_large_patch14_448.mim_m38m_ft_in1k	448	98.730	1.270	99.790	0.210	305.08	1.000	bicubic
10	eva_large_patch14_336.in22k_ft_in1k	336	98.720	1.280	99.870	0.130	304.53	1.000	bicubic
11	convnextv2_huge.fcmae_ft_in22k_in1k_384	384	98.670	1.330	99.860	0.140	660.29	1.000	bicubic
12	maxvit_base_tf_512.in21k_ft_in1k	512	98.640	1.360	99.800	0.200	119.88	1.000	bicubic
13	eva02_base_patch14_448.mim_in22k_ft_in22k_in1k	448	98.630	1.370	99.800	0.200	87.12	1.000	bicubic
14	maxvit_xlarge_tf_512.in21k_ft_in1k	512	98.620	1.380	99.800	0.200	475.77	1.000	bicubic
15	maxvit_large_tf_512.in21k_ft_in1k	512	98.610	1.390	99.790	0.210	212.33	1.000	bicubic
16	convnextv2_huge.fcmae_ft_in22k_in1k_512	512	98.590	1.410	99.870	0.130	660.29	1.000	bicubic
17	beit_large_patch16_512.in22k_ft_in22k_in1k	512	98.560	1.440	99.830	0.170	305.67	1.000	bicubic
18	beitv2_large_patch16_224.in1k_ft_in22k_in1k	224	98.550	1.450	99.760	0.240	304.43	0.950	bicubic
19	tf_efficientnet_l2.ns_jft_in1k	800	98.540	1.460	99.820	0.180	480.31	0.960	bicubic
20	maxvit_base_tf_384.in21k_ft_in1k	384	98.520	1.480	99.750	0.250	119.65	1.000	bicubic
21	tf_efficientnet_l2.ns_jft_in1k_475	475	98.500	1.500	99.840	0.160	480.31	0.936	bicubic
22	beit_large_patch16_384.in22k_ft_in22k_in1k	384	98.500	1.500	99.820	0.180	305.00	1.000	bicubic
23	maxvit_xlarge_tf_384.in21k_ft_in1k	384	98.500	1.500	99.780	0.220	475.32	1.000	bicubic
24	maxvit_large_tf_384.in21k_ft_in1k	384	98.490	1.510	99.750	0.250	212.03	1.000	bicubic
25	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384	384	98.480	1.520	99.750	0.250	200.13	1.000	bicubic
26	deit3_large_patch16_384.fb_in22k_ft_in1k	384	98.460	1.540	99.750	0.250	304.76	1.000	bicubic
27	eva_giant_patch14_224.clip_ft_in1k	224	98.460	1.540	99.750	0.250	1,012.56	0.900	bicubic
28	regnety_1280.swag_ft_in1k	384	98.450	1.550	99.880	0.120	644.81	1.000	bicubic
29	caformer_b36.sail_in22k_ft_in1k_384	384	98.440	1.560	99.820	0.180	98.75	1.000	bicubic
30	convnext_xxlarge.clip_laion2b_soup_ft_in1k	256	98.440	1.560	99.820	0.180	846.47	1.000	bicubic
31	eva02_base_patch14_448.mim_in22k_ft_in1k	448	98.440	1.560	99.820	0.180	87.12	1.000	bicubic
32	vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k	336	98.430	1.570	99.820	0.180	632.46	1.000	bicubic
33	eva_large_patch14_196.in22k_ft_in22k_in1k	196	98.430	1.570	99.770	0.230	304.14	1.000	bicubic
34	convnext_xlarge.fb_in22k_ft_in1k_384	384	98.420	1.580	99.810	0.190	350.20	1.000	bicubic
35	convnextv2_large.fcmae_ft_in22k_in1k_384	384	98.380	1.620	99.760	0.240	197.96	1.000	bicubic
36	eva_large_patch14_196.in22k_ft_in1k	196	98.360	1.640	99.830	0.170	304.14	1.000	bicubic
37	convnextv2_base.fcmae_ft_in22k_in1k_384	384	98.360	1.640	99.780	0.220	88.72	1.000	bicubic
38	vit_large_patch14_clip_336.laion2b_ft_in12k_in1k	336	98.330	1.670	99.760	0.240	304.53	1.000	bicubic
39	vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k	224	98.290	1.710	99.780	0.220	632.05	1.000	bicubic
40	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320	320	98.280	1.720	99.770	0.230	200.13	1.000	bicubic
41	vit_large_patch14_clip_336.openai_ft_in12k_in1k	336	98.270	1.730	99.770	0.230	304.53	1.000	bicubic
42	convformer_b36.sail_in22k_ft_in1k_384	384	98.260	1.740	99.830	0.170	99.88	1.000	bicubic
43	maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k	384	98.260	1.740	99.770	0.230	116.09	1.000	bicubic
44	convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384	384	98.260	1.740	99.760	0.240	200.13	1.000	bicubic
45	convnext_large.fb_in22k_ft_in1k_384	384	98.260	1.740	99.750	0.250	197.77	1.000	bicubic
46	vit_large_patch16_384.augreg_in21k_ft_in1k	384	98.250	1.750	99.800	0.200	304.72	1.000	bicubic
47	vit_large_patch14_clip_224.openai_ft_in12k_in1k	224	98.230	1.770	99.720	0.280	304.20	1.000	bicubic
48	vit_large_patch14_clip_336.laion2b_ft_in1k	336	98.230	1.770	99.720	0.280	304.53	1.000	bicubic
49	seresnextaa201d_32x8d.sw_in12k_ft_in1k_384	384	98.200	1.800	99.780	0.220	149.39	1.000	bicubic
50	vit_base_patch16_clip_384.openai_ft_in12k_in1k	384	98.190	1.810	99.660	0.340	86.86	0.950	bicubic
51	maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k	384	98.180	1.820	99.770	0.230	116.14	1.000	bicubic
52	caformer_b36.sail_in22k_ft_in1k	224	98.170	1.830	99.770	0.230	98.75	1.000	bicubic
53	beit_large_patch16_224.in22k_ft_in22k_in1k	224	98.170	1.830	99.760	0.240	304.43	0.900	bicubic
54	deit3_large_patch16_224.fb_in22k_ft_in1k	224	98.170	1.830	99.750	0.250	304.37	1.000	bicubic
55	deit3_huge_patch14_224.fb_in22k_ft_in1k	224	98.170	1.830	99.730	0.270	632.13	1.000	bicubic
56	vit_mediumd_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k	384	98.160	1.840	99.730	0.270	64.27	1.000	bicubic
57	swinv2_large_window12to24_192to384.ms_in22k_ft_in1k	384	98.160	1.840	99.710	0.290	196.74	1.000	bicubic
58	vit_large_patch14_clip_224.openai_ft_in1k	224	98.160	1.840	99.670	0.330	304.20	1.000	bicubic
59	caformer_m36.sail_in22k_ft_in1k_384	384	98.150	1.850	99.750	0.250	56.20	1.000	bicubic
60	swinv2_base_window12to24_192to384.ms_in22k_ft_in1k	384	98.140	1.860	99.780	0.220	87.92	1.000	bicubic
61	convnext_large.fb_in22k_ft_in1k	288	98.130	1.870	99.750	0.250	197.77	1.000	bicubic
62	convnext_xlarge.fb_in22k_ft_in1k	288	98.120	1.880	99.770	0.230	350.20	1.000	bicubic
63	convnextv2_large.fcmae_ft_in22k_in1k	288	98.110	1.890	99.780	0.220	197.96	1.000	bicubic
64	convnext_base.fb_in22k_ft_in1k_384	384	98.100	1.900	99.650	0.350	88.59	1.000	bicubic
65	vit_large_patch14_clip_224.laion2b_ft_in12k_in1k	224	98.080	1.920	99.760	0.240	304.20	1.000	bicubic
66	coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k	384	98.070	1.930	99.690	0.310	73.88	1.000	bicubic
67	regnety_320.swag_ft_in1k	384	98.060	1.940	99.860	0.140	145.05	1.000	bicubic
68	convnextv2_base.fcmae_ft_in22k_in1k	288	98.060	1.940	99.750	0.250	88.72	1.000	bicubic
69	convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384	384	98.050	1.950	99.750	0.250	88.59	1.000	bicubic
70	vit_huge_patch14_clip_224.laion2b_ft_in1k	224	98.030	1.970	99.730	0.270	632.05	1.000	bicubic
71	convformer_m36.sail_in22k_ft_in1k_384	384	98.020	1.980	99.690	0.310	57.05	1.000	bicubic
72	swin_large_patch4_window12_384.ms_in22k_ft_in1k	384	98.020	1.980	99.690	0.310	196.74	1.000	bicubic
73	vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	384	98.010	1.990	99.660	0.340	86.86	1.000	bicubic
74	caformer_s36.sail_in22k_ft_in1k_384	384	98.000	2.000	99.720	0.280	39.30	1.000	bicubic
75	convnext_large_mlp.clip_laion2b_augreg_ft_in1k	256	97.980	2.020	99.700	0.300	200.13	1.000	bicubic
76	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	320	97.960	2.040	99.700	0.300	93.59	1.000	bicubic
77	convformer_b36.sail_in22k_ft_in1k	224	97.950	2.050	99.760	0.240	99.88	1.000	bicubic
78	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	288	97.950	2.050	99.730	0.270	93.59	0.950	bicubic
79	hiera_huge_224.mae_in1k_ft_in1k	224	97.950	2.050	99.620	0.380	672.78	0.900	bicubic
80	nextvit_large.bd_ssld_6m_in1k_384	384	97.940	2.060	99.790	0.210	57.87	1.000	bicubic
81	convnextv2_large.fcmae_ft_in22k_in1k	224	97.930	2.070	99.770	0.230	197.96	0.875	bicubic
82	seresnextaa101d_32x8d.sw_in12k_ft_in1k	288	97.930	2.070	99.680	0.320	93.59	1.000	bicubic
83	convnext_xlarge.fb_in22k_ft_in1k	224	97.920	2.080	99.680	0.320	350.20	0.875	bicubic
84	beitv2_large_patch16_224.in1k_ft_in1k	224	97.920	2.080	99.660	0.340	304.43	0.950	bicubic
85	convnextv2_base.fcmae_ft_in22k_in1k	224	97.910	2.090	99.690	0.310	88.72	0.875	bicubic
86	vit_large_patch14_clip_224.laion2b_ft_in1k	224	97.910	2.090	99.650	0.350	304.20	1.000	bicubic
87	convnextv2_huge.fcmae_ft_in1k	288	97.900	2.100	99.690	0.310	660.29	1.000	bicubic
88	tiny_vit_21m_512.dist_in22k_ft_in1k	512	97.900	2.100	99.630	0.370	21.27	1.000	bicubic
89	tf_efficientnetv2_xl.in21k_ft_in1k	512	97.900	2.100	99.570	0.430	208.12	1.000	bicubic
90	tf_efficientnet_b7.ns_jft_in1k	600	97.890	2.110	99.720	0.280	66.35	0.949	bicubic
91	nextvit_base.bd_ssld_6m_in1k_384	384	97.870	2.130	99.760	0.240	44.82	1.000	bicubic
92	swin_base_patch4_window12_384.ms_in22k_ft_in1k	384	97.870	2.130	99.710	0.290	87.90	1.000	bicubic
93	convnext_large.fb_in22k_ft_in1k	224	97.850	2.150	99.690	0.310	197.77	0.875	bicubic
94	convnext_base.fb_in22k_ft_in1k	288	97.850	2.150	99.680	0.320	88.59	1.000	bicubic
95	vit_large_r50_s32_384.augreg_in21k_ft_in1k	384	97.850	2.150	99.670	0.330	329.09	1.000	bicubic
96	convformer_s36.sail_in22k_ft_in1k_384	384	97.850	2.150	99.640	0.360	40.01	1.000	bicubic
97	deit3_base_patch16_384.fb_in22k_ft_in1k	384	97.840	2.160	99.680	0.320	86.88	1.000	bicubic
98	caformer_m36.sail_in22k_ft_in1k	224	97.840	2.160	99.670	0.330	56.20	1.000	bicubic
99	swinv2_large_window12to16_192to256.ms_in22k_ft_in1k	256	97.840	2.160	99.660	0.340	196.74	0.900	bicubic
100	tf_efficientnetv2_l.in21k_ft_in1k	480	97.830	2.170	99.760	0.240	118.52	1.000	bicubic
101	beit_base_patch16_384.in22k_ft_in22k_in1k	384	97.830	2.170	99.700	0.300	86.74	1.000	bicubic
102	vit_base_patch16_384.augreg_in21k_ft_in1k	384	97.830	2.170	99.670	0.330	86.86	1.000	bicubic
103	maxvit_large_tf_512.in1k	512	97.830	2.170	99.560	0.440	212.33	1.000	bicubic
104	hgnetv2_b6.ssld_stage1_in22k_in1k	288	97.810	2.190	99.690	0.310	75.26	1.000	bicubic
105	tf_efficientnetv2_m.in21k_ft_in1k	480	97.810	2.190	99.610	0.390	54.14	1.000	bicubic
106	hgnetv2_b6.ssld_stage2_ft_in1k	288	97.800	2.200	99.690	0.310	75.26	1.000	bicubic
107	convnext_small.in12k_ft_in1k_384	384	97.800	2.200	99.650	0.350	50.22	1.000	bicubic
108	maxvit_base_tf_512.in1k	512	97.800	2.200	99.610	0.390	119.88	1.000	bicubic
109	regnety_160.swag_ft_in1k	384	97.790	2.210	99.760	0.240	83.59	1.000	bicubic
110	volo_d5_512.sail_in1k	512	97.790	2.210	99.670	0.330	296.09	1.150	bicubic
111	dm_nfnet_f6.dm_in1k	576	97.780	2.220	99.660	0.340	438.36	0.956	bicubic
112	maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k	224	97.780	2.220	99.640	0.360	116.14	0.950	bicubic
113	dm_nfnet_f5.dm_in1k	544	97.780	2.220	99.590	0.410	377.21	0.954	bicubic
114	nextvit_small.bd_ssld_6m_in1k_384	384	97.770	2.230	99.710	0.290	31.76	1.000	bicubic
115	vit_betwixt_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k	384	97.770	2.230	99.600	0.400	60.60	1.000	bicubic
116	maxvit_small_tf_512.in1k	512	97.760	2.240	99.550	0.450	69.13	1.000	bicubic
117	maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k	224	97.750	2.250	99.700	0.300	116.09	0.950	bicubic
118	vit_base_patch16_clip_384.laion2b_ft_in1k	384	97.750	2.250	99.630	0.370	86.86	1.000	bicubic
119	volo_d5_448.sail_in1k	448	97.750	2.250	99.620	0.380	295.91	1.150	bicubic
120	vit_base_patch8_224.augreg2_in21k_ft_in1k	224	97.740	2.260	99.640	0.360	86.58	0.900	bicubic
121	vit_mediumd_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k	256	97.710	2.290	99.640	0.360	64.11	0.950	bicubic
122	dm_nfnet_f6.dm_in1k	448	97.710	2.290	99.610	0.390	438.36	0.956	bicubic
123	beitv2_base_patch16_224.in1k_ft_in22k_in1k	224	97.700	2.300	99.680	0.320	86.53	0.900	bicubic
124	swinv2_base_window12to16_192to256.ms_in22k_ft_in1k	256	97.680	2.320	99.720	0.280	87.92	0.900	bicubic
125	volo_d4_448.sail_in1k	448	97.680	2.320	99.610	0.390	193.41	1.150	bicubic
126	rdnet_large.nv_in1k_ft_in1k_384	384	97.670	2.330	99.550	0.450	186.27	1.000	bicubic
127	regnety_1280.swag_lc_in1k	224	97.660	2.340	99.640	0.360	644.81	0.965	bicubic
128	convnextv2_large.fcmae_ft_in1k	288	97.660	2.340	99.600	0.400	197.96	1.000	bicubic
129	seresnextaa101d_32x8d.sw_in12k_ft_in1k	224	97.650	2.350	99.690	0.310	93.59	0.875	bicubic
130	convnextv2_huge.fcmae_ft_in1k	224	97.650	2.350	99.620	0.380	660.29	0.875	bicubic
131	swin_large_patch4_window7_224.ms_in22k_ft_in1k	224	97.650	2.350	99.570	0.430	196.53	0.900	bicubic
132	vit_large_patch16_224.augreg_in21k_ft_in1k	224	97.640	2.360	99.590	0.410	304.33	0.900	bicubic
133	coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k	224	97.640	2.360	99.570	0.430	73.88	0.950	bicubic
134	vit_mediumd_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	97.630	2.370	99.620	0.380	64.11	0.950	bicubic
135	dm_nfnet_f4.dm_in1k	512	97.630	2.370	99.540	0.460	316.07	0.951	bicubic
136	convnext_small.fb_in22k_ft_in1k_384	384	97.620	2.380	99.600	0.400	50.22	1.000	bicubic
137	tf_efficientnet_b6.ns_jft_in1k	528	97.620	2.380	99.590	0.410	43.04	0.942	bicubic
138	caformer_s36.sail_in22k_ft_in1k	224	97.610	2.390	99.610	0.390	39.30	1.000	bicubic
139	hgnetv2_b6.ssld_stage1_in22k_in1k	224	97.610	2.390	99.600	0.400	75.26	0.965	bicubic
140	tiny_vit_21m_384.dist_in22k_ft_in1k	384	97.610	2.390	99.590	0.410	21.23	1.000	bicubic
141	convnext_base.clip_laiona_augreg_ft_in1k_384	384	97.610	2.390	99.550	0.450	88.59	1.000	bicubic
142	convnext_base.clip_laion2b_augreg_ft_in12k_in1k	256	97.600	2.400	99.720	0.280	88.59	1.000	bicubic
143	vit_base_patch8_224.augreg_in21k_ft_in1k	224	97.590	2.410	99.670	0.330	86.58	0.900	bicubic
144	convformer_m36.sail_in22k_ft_in1k	224	97.590	2.410	99.620	0.380	57.05	1.000	bicubic
145	maxvit_base_tf_384.in1k	384	97.590	2.410	99.580	0.420	119.65	1.000	bicubic
146	efficientvit_l3.r384_in1k	384	97.590	2.410	99.520	0.480	246.04	1.000	bicubic
147	maxvit_large_tf_384.in1k	384	97.590	2.410	99.520	0.480	212.03	1.000	bicubic
148	maxvit_tiny_tf_512.in1k	512	97.580	2.420	99.560	0.440	31.05	1.000	bicubic
149	vit_base_patch16_clip_384.openai_ft_in1k	384	97.550	2.450	99.660	0.340	86.86	1.000	bicubic
150	volo_d3_448.sail_in1k	448	97.550	2.450	99.550	0.450	86.63	1.000	bicubic
151	convformer_b36.sail_in1k_384	384	97.540	2.460	99.520	0.480	99.88	1.000	bicubic
152	vit_base_patch16_clip_224.openai_ft_in12k_in1k	224	97.540	2.460	99.510	0.490	86.57	0.950	bicubic
153	xcit_large_24_p16_384.fb_dist_in1k	384	97.540	2.460	99.480	0.520	189.10	1.000	bicubic
154	coatnet_2_rw_224.sw_in12k_ft_in1k	224	97.530	2.470	99.600	0.400	73.87	0.950	bicubic
155	xcit_large_24_p8_384.fb_dist_in1k	384	97.530	2.470	99.540	0.460	188.93	1.000	bicubic
156	caformer_b36.sail_in1k_384	384	97.510	2.490	99.580	0.420	98.75	1.000	bicubic
157	tf_efficientnetv2_l.in1k	480	97.510	2.490	99.550	0.450	118.52	1.000	bicubic
158	tf_efficientnet_b5.ns_jft_in1k	456	97.500	2.500	99.640	0.360	30.39	0.934	bicubic
159	convnext_base.fb_in22k_ft_in1k	224	97.500	2.500	99.610	0.390	88.59	0.875	bicubic
160	regnety_160.sw_in12k_ft_in1k	288	97.500	2.500	99.600	0.400	83.59	1.000	bicubic
161	deit3_base_patch16_224.fb_in22k_ft_in1k	224	97.490	2.510	99.620	0.380	86.59	1.000	bicubic
162	cait_m48_448.fb_dist_in1k	448	97.490	2.510	99.600	0.400	356.46	1.000	bicubic
163	resnetv2_152x4_bit.goog_in21k_ft_in1k	480	97.480	2.520	99.640	0.360	936.53	1.000	bilinear
164	dm_nfnet_f3.dm_in1k	416	97.480	2.520	99.560	0.440	254.92	0.940	bicubic
165	dm_nfnet_f5.dm_in1k	416	97.470	2.530	99.520	0.480	377.21	0.954	bicubic
166	tf_efficientnetv2_l.in21k_ft_in1k	384	97.460	2.540	99.640	0.360	118.52	1.000	bicubic
167	vit_medium_patch16_gap_384.sw_in12k_ft_in1k	384	97.450	2.550	99.640	0.360	39.03	0.950	bicubic
168	caformer_m36.sail_in1k_384	384	97.450	2.550	99.600	0.400	56.20	1.000	bicubic
169	hgnetv2_b6.ssld_stage2_ft_in1k	224	97.450	2.550	99.600	0.400	75.26	0.965	bicubic
170	regnety_160.lion_in12k_ft_in1k	288	97.450	2.550	99.600	0.400	83.59	1.000	bicubic
171	vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	224	97.450	2.550	99.540	0.460	86.57	0.950	bicubic
172	deit3_large_patch16_384.fb_in1k	384	97.440	2.560	99.630	0.370	304.76	1.000	bicubic
173	caformer_s18.sail_in22k_ft_in1k_384	384	97.440	2.560	99.590	0.410	26.34	1.000	bicubic
174	hiera_large_224.mae_in1k_ft_in1k	224	97.440	2.560	99.460	0.540	213.74	0.900	bicubic
175	hgnet_base.ssld_in1k	288	97.430	2.570	99.620	0.380	71.58	1.000	bicubic
176	flexivit_large.1200ep_in1k	240	97.420	2.580	99.600	0.400	304.36	0.950	bicubic
177	efficientvit_l3.r320_in1k	320	97.410	2.590	99.390	0.610	246.04	1.000	bicubic
178	caformer_s36.sail_in1k_384	384	97.400	2.600	99.540	0.460	39.30	1.000	bicubic
179	cait_m36_384.fb_dist_in1k	384	97.400	2.600	99.510	0.490	271.22	1.000	bicubic
180	maxvit_small_tf_384.in1k	384	97.400	2.600	99.500	0.500	69.02	1.000	bicubic
181	convformer_m36.sail_in1k_384	384	97.400	2.600	99.470	0.530	57.05	1.000	bicubic
182	efficientvit_l2.r384_in1k	384	97.400	2.600	99.420	0.580	63.71	1.000	bicubic
183	efficientnet_b5.sw_in12k_ft_in1k	448	97.390	2.610	99.550	0.450	30.39	1.000	bicubic
184	tf_efficientnetv2_xl.in21k_ft_in1k	384	97.390	2.610	99.380	0.620	208.12	1.000	bicubic
185	resnext101_32x32d.fb_wsl_ig1b_ft_in1k	224	97.380	2.620	99.680	0.320	468.53	0.875	bilinear
186	nextvit_large.bd_ssld_6m_in1k	224	97.380	2.620	99.670	0.330	57.87	0.950	bicubic
187	volo_d5_224.sail_in1k	224	97.380	2.620	99.570	0.430	295.46	0.960	bicubic
188	hgnetv2_b5.ssld_stage2_ft_in1k	288	97.370	2.630	99.670	0.330	39.57	1.000	bicubic
189	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	384	97.370	2.630	99.520	0.480	88.30	1.000	bicubic
190	convnextv2_large.fcmae_ft_in1k	224	97.350	2.650	99.550	0.450	197.96	0.875	bicubic
191	cait_s36_384.fb_dist_in1k	384	97.350	2.650	99.530	0.470	68.37	1.000	bicubic
192	convnext_small.fb_in22k_ft_in1k	288	97.350	2.650	99.530	0.470	50.22	1.000	bicubic
193	dm_nfnet_f4.dm_in1k	384	97.350	2.650	99.480	0.520	316.07	0.951	bicubic
194	convnext_small.in12k_ft_in1k	288	97.340	2.660	99.580	0.420	50.22	1.000	bicubic
195	convnext_tiny.in12k_ft_in1k_384	384	97.330	2.670	99.600	0.400	28.59	1.000	bicubic
196	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	448	97.330	2.670	99.480	0.520	88.34	1.000	bicubic
197	vit_betwixt_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	97.330	2.670	99.480	0.520	60.40	0.950	bicubic
198	volo_d2_384.sail_in1k	384	97.320	2.680	99.590	0.410	58.87	1.000	bicubic
199	maxvit_tiny_tf_384.in1k	384	97.310	2.690	99.500	0.500	30.98	1.000	bicubic
200	xcit_medium_24_p16_384.fb_dist_in1k	384	97.310	2.690	99.460	0.540	84.40	1.000	bicubic
201	volo_d4_224.sail_in1k	224	97.300	2.700	99.530	0.470	192.96	0.960	bicubic
202	xcit_medium_24_p8_384.fb_dist_in1k	384	97.300	2.700	99.510	0.490	84.32	1.000	bicubic
203	xcit_small_24_p8_384.fb_dist_in1k	384	97.280	2.720	99.600	0.400	47.63	1.000	bicubic
204	flexivit_large.600ep_in1k	240	97.280	2.720	99.590	0.410	304.36	0.950	bicubic
205	convformer_s18.sail_in22k_ft_in1k_384	384	97.280	2.720	99.560	0.440	26.77	1.000	bicubic
206	swin_base_patch4_window7_224.ms_in22k_ft_in1k	224	97.280	2.720	99.520	0.480	87.77	0.900	bicubic
207	convformer_s36.sail_in1k_384	384	97.280	2.720	99.430	0.570	40.01	1.000	bicubic
208	hgnetv2_b5.ssld_stage1_in22k_in1k	288	97.270	2.730	99.660	0.340	39.57	1.000	bicubic
209	nextvit_base.bd_ssld_6m_in1k	224	97.270	2.730	99.660	0.340	44.82	0.950	bicubic
210	convnext_base.clip_laion2b_augreg_ft_in1k	256	97.270	2.730	99.560	0.440	88.59	1.000	bicubic
211	regnety_120.sw_in12k_ft_in1k	288	97.270	2.730	99.540	0.460	51.82	1.000	bicubic
212	inception_next_base.sail_in1k_384	384	97.270	2.730	99.520	0.480	86.67	1.000	bicubic
213	tf_efficientnetv2_l.in1k	384	97.270	2.730	99.500	0.500	118.52	1.000	bicubic
214	regnety_160.lion_in12k_ft_in1k	224	97.250	2.750	99.540	0.460	83.59	0.950	bicubic
215	flexivit_large.300ep_in1k	240	97.250	2.750	99.490	0.510	304.36	0.950	bicubic
216	convnextv2_base.fcmae_ft_in1k	288	97.240	2.760	99.550	0.450	88.72	1.000	bicubic
217	convnextv2_tiny.fcmae_ft_in22k_in1k_384	384	97.240	2.760	99.540	0.460	28.64	1.000	bicubic
218	regnety_2560.seer_ft_in1k	384	97.240	2.760	99.510	0.490	1,282.60	1.000	bicubic
219	vit_betwixt_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k	256	97.230	2.770	99.590	0.410	60.40	0.950	bicubic
220	tf_efficientnetv2_m.in1k	480	97.230	2.770	99.530	0.470	54.14	1.000	bicubic
221	xcit_small_12_p8_384.fb_dist_in1k	384	97.230	2.770	99.470	0.530	26.21	1.000	bicubic
222	resnext101_32x8d.fb_swsl_ig1b_ft_in1k	224	97.220	2.780	99.590	0.410	88.79	0.875	bilinear
223	regnety_160.sw_in12k_ft_in1k	224	97.220	2.780	99.580	0.420	83.59	0.950	bicubic
224	convnext_small.in12k_ft_in1k	224	97.210	2.790	99.600	0.400	50.22	0.950	bicubic
225	tf_efficientnet_b7.ap_in1k	600	97.210	2.790	99.540	0.460	66.35	0.949	bicubic
226	regnetz_e8.ra3_in1k	320	97.210	2.790	99.500	0.500	57.70	1.000	bicubic
227	tf_efficientnet_b8.ra_in1k	672	97.210	2.790	99.500	0.500	87.41	0.954	bicubic
228	tf_efficientnetv2_m.in21k_ft_in1k	384	97.210	2.790	99.470	0.530	54.14	1.000	bicubic
229	tiny_vit_21m_224.dist_in22k_ft_in1k	224	97.200	2.800	99.490	0.510	21.20	0.950	bicubic
230	dm_nfnet_f3.dm_in1k	320	97.190	2.810	99.540	0.460	254.92	0.940	bicubic
231	mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	480	97.180	2.820	99.560	0.440	32.59	1.000	bicubic
232	vit_base_r50_s16_384.orig_in21k_ft_in1k	384	97.180	2.820	99.560	0.440	98.95	1.000	bicubic
233	hiera_small_abswin_256.sbb2_e200_in12k_ft_in1k	256	97.180	2.820	99.430	0.570	34.36	0.950	bicubic
234	mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	544	97.170	2.830	99.580	0.420	32.59	1.000	bicubic
235	regnety_120.sw_in12k_ft_in1k	224	97.170	2.830	99.520	0.480	51.82	0.950	bicubic
236	beitv2_base_patch16_224.in1k_ft_in1k	224	97.170	2.830	99.460	0.540	86.53	0.900	bicubic
237	vit_medium_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	97.170	2.830	99.390	0.610	38.88	0.950	bicubic
238	regnety_320.swag_lc_in1k	224	97.160	2.840	99.670	0.330	145.05	0.965	bicubic
239	vit_base_patch16_224.augreg2_in21k_ft_in1k	224	97.160	2.840	99.540	0.460	86.57	0.900	bicubic
240	eva02_small_patch14_336.mim_in22k_ft_in1k	336	97.150	2.850	99.470	0.530	22.13	1.000	bicubic
241	coat_lite_medium_384.in1k	384	97.150	2.850	99.450	0.550	44.57	1.000	bicubic
242	deit3_small_patch16_384.fb_in22k_ft_in1k	384	97.130	2.870	99.500	0.500	22.21	1.000	bicubic
243	xcit_small_24_p16_384.fb_dist_in1k	384	97.130	2.870	99.440	0.560	47.67	1.000	bicubic
244	tf_efficientnet_b8.ap_in1k	672	97.120	2.880	99.660	0.340	87.41	0.954	bicubic
245	hgnetv2_b5.ssld_stage2_ft_in1k	224	97.120	2.880	99.610	0.390	39.57	0.965	bicubic
246	tf_efficientnet_b6.ap_in1k	528	97.120	2.880	99.600	0.400	43.04	0.942	bicubic
247	vit_base_patch16_clip_224.laion2b_ft_in1k	224	97.120	2.880	99.460	0.540	86.57	1.000	bicubic
248	dm_nfnet_f2.dm_in1k	352	97.110	2.890	99.510	0.490	193.78	0.920	bicubic
249	convnext_tiny.fb_in22k_ft_in1k_384	384	97.110	2.890	99.500	0.500	28.59	1.000	bicubic
250	volo_d3_224.sail_in1k	224	97.110	2.890	99.460	0.540	86.33	0.960	bicubic
251	ecaresnet269d.ra2_in1k	320	97.110	2.890	99.400	0.600	102.09	0.950	bicubic
252	convnext_tiny.in12k_ft_in1k	288	97.100	2.900	99.520	0.480	28.59	1.000	bicubic
253	vit_base_patch32_clip_384.openai_ft_in12k_in1k	384	97.100	2.900	99.520	0.480	88.30	0.950	bicubic
254	vit_base_patch16_clip_224.openai_ft_in1k	224	97.090	2.910	99.480	0.520	86.57	0.900	bicubic
255	ecaresnet269d.ra2_in1k	352	97.090	2.910	99.460	0.540	102.09	1.000	bicubic
256	convnext_large.fb_in1k	288	97.090	2.910	99.450	0.550	197.77	1.000	bicubic
257	hgnet_base.ssld_in1k	224	97.080	2.920	99.610	0.390	71.58	0.965	bicubic
258	convformer_s36.sail_in22k_ft_in1k	224	97.080	2.920	99.550	0.450	40.01	1.000	bicubic
259	eca_nfnet_l2.ra3_in1k	384	97.080	2.920	99.510	0.490	56.72	1.000	bicubic
260	caformer_s18.sail_in1k_384	384	97.070	2.930	99.420	0.580	26.34	1.000	bicubic
261	cait_s24_384.fb_dist_in1k	384	97.070	2.930	99.420	0.580	47.06	1.000	bicubic
262	beit_base_patch16_224.in22k_ft_in22k_in1k	224	97.060	2.940	99.610	0.390	86.53	0.900	bicubic
263	dm_nfnet_f1.dm_in1k	320	97.060	2.940	99.390	0.610	132.63	0.910	bicubic
264	efficientvit_l2.r288_in1k	288	97.060	2.940	99.370	0.630	63.71	1.000	bicubic
265	xcit_large_24_p8_224.fb_dist_in1k	224	97.050	2.950	99.420	0.580	188.93	1.000	bicubic
266	hrnet_w48_ssld.paddle_in1k	288	97.040	2.960	99.640	0.360	77.47	1.000	bilinear
267	convformer_s18.sail_in1k_384	384	97.040	2.960	99.370	0.630	26.77	1.000	bicubic
268	hgnetv2_b5.ssld_stage1_in22k_in1k	224	97.030	2.970	99.570	0.430	39.57	0.965	bicubic
269	efficientvit_l3.r256_in1k	256	97.030	2.970	99.230	0.770	246.04	1.000	bicubic
270	resnetv2_152x2_bit.goog_in21k_ft_in1k	448	97.020	2.980	99.590	0.410	236.34	1.000	bilinear
271	maxvit_large_tf_224.in1k	224	97.020	2.980	99.240	0.760	211.79	0.950	bicubic
272	nextvit_large.bd_in1k_384	384	97.010	2.990	99.510	0.490	57.87	1.000	bicubic
273	resnetv2_101x3_bit.goog_in21k_ft_in1k	448	97.010	2.990	99.500	0.500	387.93	1.000	bilinear
274	deit3_base_patch16_384.fb_in1k	384	97.010	2.990	99.360	0.640	86.88	1.000	bicubic
275	mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	448	97.010	2.990	99.310	0.690	32.59	0.950	bicubic
276	efficientvit_l3.r224_in1k	224	97.010	2.990	99.240	0.760	246.04	1.000	bicubic
277	efficientnetv2_rw_m.agc_in1k	416	97.000	3.000	99.530	0.470	53.24	1.000	bicubic
278	tf_efficientnet_b7.ra_in1k	600	97.000	3.000	99.520	0.480	66.35	0.949	bicubic
279	deit_base_distilled_patch16_384.fb_in1k	384	97.000	3.000	99.490	0.510	87.63	1.000	bicubic
280	caformer_b36.sail_in1k	224	97.000	3.000	99.350	0.650	98.75	1.000	bicubic
281	deit3_medium_patch16_224.fb_in22k_ft_in1k	224	96.990	3.010	99.430	0.570	38.85	1.000	bicubic
282	volo_d2_224.sail_in1k	224	96.990	3.010	99.390	0.610	58.68	0.960	bicubic
283	deit3_large_patch16_224.fb_in1k	224	96.980	3.020	99.330	0.670	304.37	0.900	bicubic
284	maxvit_base_tf_224.in1k	224	96.980	3.020	99.270	0.730	119.47	0.950	bicubic
285	tf_efficientnet_b4.ns_jft_in1k	380	96.970	3.030	99.580	0.420	19.34	0.922	bicubic
286	convnext_small.fb_in22k_ft_in1k	224	96.970	3.030	99.410	0.590	50.22	0.875	bicubic
287	nextvit_small.bd_ssld_6m_in1k	224	96.960	3.040	99.480	0.520	31.76	0.950	bicubic
288	xcit_small_12_p16_384.fb_dist_in1k	384	96.950	3.050	99.400	0.600	26.25	1.000	bicubic
289	mvitv2_large.fb_in1k	224	96.940	3.060	99.400	0.600	217.99	0.900	bicubic
290	seresnextaa101d_32x8d.ah_in1k	288	96.940	3.060	99.390	0.610	93.59	1.000	bicubic
291	hiera_base_plus_224.mae_in1k_ft_in1k	224	96.940	3.060	99.340	0.660	69.90	0.900	bicubic
292	hgnet_small.ssld_in1k	288	96.930	3.070	99.560	0.440	24.36	1.000	bicubic
293	volo_d1_384.sail_in1k	384	96.930	3.070	99.520	0.480	26.78	1.000	bicubic
294	xcit_medium_24_p8_224.fb_dist_in1k	224	96.930	3.070	99.380	0.620	84.32	1.000	bicubic
295	davit_base.msft_in1k	224	96.930	3.070	99.250	0.750	87.95	0.950	bicubic
296	resnext101_32x16d.fb_wsl_ig1b_ft_in1k	224	96.920	3.080	99.590	0.410	194.03	0.875	bilinear
297	resnetrs420.tf_in1k	416	96.910	3.090	99.460	0.540	191.89	1.000	bicubic
298	nextvit_base.bd_in1k_384	384	96.910	3.090	99.400	0.600	44.82	1.000	bicubic
299	rdnet_large.nv_in1k	224	96.910	3.090	99.400	0.600	186.27	0.900	bicubic
300	convformer_b36.sail_in1k	224	96.910	3.090	99.230	0.770	99.88	1.000	bicubic
301	convnextv2_base.fcmae_ft_in1k	224	96.900	3.100	99.420	0.580	88.72	0.875	bicubic
302	deit3_huge_patch14_224.fb_in1k	224	96.890	3.110	99.480	0.520	632.13	0.900	bicubic
303	xcit_small_24_p8_224.fb_dist_in1k	224	96.890	3.110	99.470	0.530	47.63	1.000	bicubic
304	caformer_m36.sail_in1k	224	96.890	3.110	99.440	0.560	56.20	1.000	bicubic
305	vit_base_patch16_224.augreg_in21k_ft_in1k	224	96.880	3.120	99.530	0.470	86.57	0.900	bicubic
306	regnety_1280.seer_ft_in1k	384	96.880	3.120	99.390	0.610	644.81	1.000	bicubic
307	mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	384	96.870	3.130	99.360	0.640	32.59	0.950	bicubic
308	rexnetr_300.sw_in12k_ft_in1k	288	96.850	3.150	99.520	0.480	34.81	1.000	bicubic
309	efficientvit_l2.r256_in1k	256	96.850	3.150	99.300	0.700	63.71	1.000	bicubic
310	convnextv2_tiny.fcmae_ft_in22k_in1k	288	96.840	3.160	99.450	0.550	28.64	1.000	bicubic
311	efficientvit_l2.r224_in1k	224	96.840	3.160	99.250	0.750	63.71	1.000	bicubic
312	regnety_160.swag_lc_in1k	224	96.830	3.170	99.660	0.340	83.59	0.965	bicubic
313	hgnetv2_b4.ssld_stage2_ft_in1k	288	96.830	3.170	99.530	0.470	19.80	1.000	bicubic
314	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	384	96.830	3.170	99.450	0.550	236.34	1.000	bicubic
315	regnety_640.seer_ft_in1k	384	96.830	3.170	99.400	0.600	281.38	1.000	bicubic
316	convnext_base.fb_in1k	288	96.820	3.180	99.420	0.580	88.59	1.000	bicubic
317	xcit_large_24_p16_224.fb_dist_in1k	224	96.820	3.180	99.370	0.630	189.10	1.000	bicubic
318	nextvit_small.bd_in1k_384	384	96.820	3.180	99.300	0.700	31.76	1.000	bicubic
319	seresnet152d.ra2_in1k	320	96.800	3.200	99.450	0.550	66.84	1.000	bicubic
320	tf_efficientnetv2_m.in1k	384	96.800	3.200	99.410	0.590	54.14	1.000	bicubic
321	fastvit_ma36.apple_dist_in1k	256	96.800	3.200	99.330	0.670	44.07	0.950	bicubic
322	maxxvit_rmlp_small_rw_256.sw_in1k	256	96.790	3.210	99.370	0.630	66.01	0.950	bicubic
323	vit_large_r50_s32_224.augreg_in21k_ft_in1k	224	96.790	3.210	99.330	0.670	328.99	0.900	bicubic
324	seresnext101_32x8d.ah_in1k	288	96.780	3.220	99.350	0.650	93.57	1.000	bicubic
325	resnetrs350.tf_in1k	384	96.770	3.230	99.340	0.660	163.96	1.000	bicubic
326	swinv2_base_window16_256.ms_in1k	256	96.770	3.230	99.330	0.670	87.92	0.900	bicubic
327	mvitv2_base.fb_in1k	224	96.770	3.230	99.250	0.750	51.47	0.900	bicubic
328	flexivit_base.1200ep_in1k	240	96.760	3.240	99.360	0.640	86.59	0.950	bicubic
329	tf_efficientnetv2_s.in21k_ft_in1k	384	96.750	3.250	99.420	0.580	21.46	1.000	bicubic
330	xcit_small_12_p8_224.fb_dist_in1k	224	96.750	3.250	99.370	0.630	26.21	1.000	bicubic
331	convnext_large.fb_in1k	224	96.750	3.250	99.300	0.700	197.77	0.875	bicubic
332	eca_nfnet_l1.ra2_in1k	320	96.750	3.250	99.290	0.710	41.41	1.000	bicubic
333	convnext_tiny.in12k_ft_in1k	224	96.740	3.260	99.460	0.540	28.59	0.950	bicubic
334	edgenext_base.in21k_ft_in1k	320	96.740	3.260	99.420	0.580	18.51	1.000	bicubic
335	resnetv2_50x3_bit.goog_in21k_ft_in1k	448	96.730	3.270	99.540	0.460	217.32	1.000	bilinear
336	caformer_s36.sail_in1k	224	96.730	3.270	99.370	0.630	39.30	1.000	bicubic
337	seresnext101d_32x8d.ah_in1k	288	96.730	3.270	99.360	0.640	93.59	1.000	bicubic
338	resnet200d.ra2_in1k	320	96.730	3.270	99.340	0.660	64.69	1.000	bicubic
339	dm_nfnet_f2.dm_in1k	256	96.730	3.270	99.300	0.700	193.78	0.920	bicubic
340	hgnetv2_b4.ssld_stage1_in22k_in1k	288	96.720	3.280	99.520	0.480	19.80	1.000	bicubic
341	regnetz_040_h.ra3_in1k	320	96.720	3.280	99.500	0.500	28.94	1.000	bicubic
342	edgenext_base.usi_in1k	320	96.720	3.280	99.430	0.570	18.51	1.000	bicubic
343	resnetrs200.tf_in1k	320	96.720	3.280	99.360	0.640	93.21	1.000	bicubic
344	vit_base_patch16_384.orig_in21k_ft_in1k	384	96.710	3.290	99.510	0.490	86.86	1.000	bicubic
345	caformer_s18.sail_in22k_ft_in1k	224	96.710	3.290	99.480	0.520	26.34	1.000	bicubic
346	regnetz_040.ra3_in1k	320	96.710	3.290	99.480	0.520	27.12	1.000	bicubic
347	tf_efficientnet_b5.ap_in1k	456	96.710	3.290	99.450	0.550	30.39	0.934	bicubic
348	vit_small_patch16_384.augreg_in21k_ft_in1k	384	96.700	3.300	99.480	0.520	22.20	1.000	bicubic
349	mobilenetv4_hybrid_large.e600_r384_in1k	448	96.700	3.300	99.390	0.610	37.76	1.000	bicubic
350	resnetrs270.tf_in1k	352	96.700	3.300	99.350	0.650	129.86	1.000	bicubic
351	hiera_small_abswin_256.sbb2_pd_e200_in12k_ft_in1k	256	96.700	3.300	99.240	0.760	34.36	0.950	bicubic
352	maxvit_small_tf_224.in1k	224	96.690	3.310	99.370	0.630	68.93	0.950	bicubic
353	regnetz_e8.ra3_in1k	256	96.690	3.310	99.350	0.650	57.70	0.940	bicubic
354	rdnet_base.nv_in1k	224	96.690	3.310	99.240	0.760	87.45	0.900	bicubic
355	convformer_m36.sail_in1k	224	96.690	3.310	99.070	0.930	57.05	1.000	bicubic
356	vit_small_r26_s32_384.augreg_in21k_ft_in1k	384	96.680	3.320	99.590	0.410	36.47	1.000	bicubic
357	repvgg_d2se.rvgg_in1k	320	96.680	3.320	99.370	0.630	133.33	1.000	bilinear
358	tf_efficientnet_b6.aa_in1k	528	96.680	3.320	99.370	0.630	43.04	0.942	bicubic
359	resnetrs350.tf_in1k	288	96.680	3.320	99.290	0.710	163.96	1.000	bicubic
360	vit_medium_patch16_gap_256.sw_in12k_ft_in1k	256	96.670	3.330	99.500	0.500	38.86	0.950	bicubic
361	resnetaa101d.sw_in12k_ft_in1k	288	96.670	3.330	99.360	0.640	44.57	1.000	bicubic
362	deit3_small_patch16_224.fb_in22k_ft_in1k	224	96.670	3.330	99.330	0.670	22.06	1.000	bicubic
363	coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k	224	96.670	3.330	99.160	0.840	41.72	0.950	bicubic
364	flexivit_base.600ep_in1k	240	96.650	3.350	99.330	0.670	86.59	0.950	bicubic
365	davit_small.msft_in1k	224	96.640	3.360	99.370	0.630	49.75	0.950	bicubic
366	rexnetr_300.sw_in12k_ft_in1k	224	96.640	3.360	99.360	0.640	34.81	0.950	bicubic
367	regnetz_d8.ra3_in1k	320	96.630	3.370	99.460	0.540	23.37	1.000	bicubic
368	hgnet_small.ssld_in1k	224	96.630	3.370	99.420	0.580	24.36	0.965	bicubic
369	efficientvit_b3.r288_in1k	288	96.630	3.370	99.220	0.780	48.65	1.000	bicubic
370	xcit_medium_24_p16_224.fb_dist_in1k	224	96.620	3.380	99.280	0.720	84.40	1.000	bicubic
371	vit_mediumd_patch16_rope_reg1_gap_256.sbb_in1k	256	96.620	3.380	99.220	0.780	63.95	0.950	bicubic
372	resnest200e.in1k	320	96.610	3.390	99.350	0.650	70.20	0.909	bicubic
373	convformer_s18.sail_in22k_ft_in1k	224	96.610	3.390	99.340	0.660	26.77	1.000	bicubic
374	resnetrs420.tf_in1k	320	96.610	3.390	99.300	0.700	191.89	1.000	bicubic
375	flexivit_base.300ep_in1k	240	96.610	3.390	99.270	0.730	86.59	0.950	bicubic
376	resnext101_32x16d.fb_swsl_ig1b_ft_in1k	224	96.600	3.400	99.540	0.460	194.03	0.875	bilinear
377	resmlp_big_24_224.fb_in22k_ft_in1k	224	96.600	3.400	99.500	0.500	129.14	0.875	bicubic
378	regnetz_d32.ra3_in1k	320	96.600	3.400	99.380	0.620	27.58	0.950	bicubic
379	mobilenetv4_hybrid_large.ix_e600_r384_in1k	448	96.600	3.400	99.290	0.710	37.76	1.000	bicubic
380	efficientnetv2_rw_m.agc_in1k	320	96.590	3.410	99.430	0.570	53.24	1.000	bicubic
381	eca_nfnet_l2.ra3_in1k	320	96.590	3.410	99.410	0.590	56.72	0.900	bicubic
382	hiera_base_224.mae_in1k_ft_in1k	224	96.590	3.410	99.310	0.690	51.52	0.900	bicubic
383	focalnet_base_srf.ms_in1k	224	96.590	3.410	99.160	0.840	88.15	0.900	bicubic
384	xcit_tiny_24_p8_384.fb_dist_in1k	384	96.580	3.420	99.320	0.680	12.11	1.000	bicubic
385	swin_base_patch4_window12_384.ms_in1k	384	96.580	3.420	99.240	0.760	87.90	1.000	bicubic
386	convformer_s36.sail_in1k	224	96.580	3.420	99.160	0.840	40.01	1.000	bicubic
387	regnetz_d8_evos.ch_in1k	320	96.570	3.430	99.460	0.540	23.46	1.000	bicubic
388	cait_xs24_384.fb_dist_in1k	384	96.570	3.430	99.420	0.580	26.67	1.000	bicubic
389	resnetrs152.tf_in1k	320	96.570	3.430	99.240	0.760	86.62	1.000	bicubic
390	convnext_small.fb_in1k	288	96.560	3.440	99.340	0.660	50.22	1.000	bicubic
391	gcvit_base.in1k	224	96.560	3.440	99.230	0.770	90.32	0.875	bicubic
392	maxvit_rmlp_small_rw_224.sw_in1k	224	96.560	3.440	99.130	0.870	64.90	0.900	bicubic
393	swin_small_patch4_window7_224.ms_in22k_ft_in1k	224	96.550	3.450	99.410	0.590	49.61	0.900	bicubic
394	swinv2_base_window8_256.ms_in1k	256	96.550	3.450	99.280	0.720	87.92	0.900	bicubic
395	inception_next_base.sail_in1k	224	96.550	3.450	99.090	0.910	86.67	0.950	bicubic
396	efficientnetv2_rw_s.ra2_in1k	384	96.540	3.460	99.360	0.640	23.94	1.000	bicubic
397	tf_efficientnet_b7.aa_in1k	600	96.540	3.460	99.310	0.690	66.35	0.949	bicubic
398	crossvit_18_dagger_408.in1k	408	96.530	3.470	99.260	0.740	44.61	1.000	bicubic
399	coatnet_rmlp_2_rw_224.sw_in1k	224	96.530	3.470	99.080	0.920	73.88	0.950	bicubic
400	resnest269e.in1k	416	96.520	3.480	99.370	0.630	110.93	0.928	bicubic
401	regnety_080.ra3_in1k	288	96.520	3.480	99.330	0.670	39.18	1.000	bicubic
402	hgnetv2_b4.ssld_stage2_ft_in1k	224	96.510	3.490	99.380	0.620	19.80	0.965	bicubic
403	vit_base_patch32_384.augreg_in21k_ft_in1k	384	96.500	3.500	99.410	0.590	88.30	1.000	bicubic
404	fastvit_ma36.apple_in1k	256	96.490	3.510	99.300	0.700	44.07	0.950	bicubic
405	regnetz_040.ra3_in1k	256	96.480	3.520	99.410	0.590	27.12	1.000	bicubic
406	tf_efficientnet_b5.aa_in1k	456	96.480	3.520	99.230	0.770	30.39	0.934	bicubic
407	focalnet_base_lrf.ms_in1k	224	96.480	3.520	99.130	0.870	88.75	0.900	bicubic
408	convnextv2_tiny.fcmae_ft_in22k_in1k	224	96.470	3.530	99.400	0.600	28.64	0.875	bicubic
409	hgnetv2_b4.ssld_stage1_in22k_in1k	224	96.470	3.530	99.360	0.640	19.80	0.965	bicubic
410	vit_base_patch16_224_miil.in21k_ft_in1k	224	96.470	3.530	99.300	0.700	86.54	0.875	bilinear
411	swinv2_small_window16_256.ms_in1k	256	96.470	3.530	99.210	0.790	49.73	0.900	bicubic
412	coat_lite_medium.in1k	224	96.470	3.530	99.160	0.840	44.57	0.900	bicubic
413	resmlp_big_24_224.fb_distilled_in1k	224	96.460	3.540	99.320	0.680	129.14	0.875	bicubic
414	mobilenetv4_conv_aa_large.e600_r384_in1k	480	96.460	3.540	99.300	0.700	32.59	1.000	bicubic
415	seresnext101d_32x8d.ah_in1k	224	96.460	3.540	99.200	0.800	93.59	0.950	bicubic
416	mobilenetv4_hybrid_large.ix_e600_r384_in1k	384	96.460	3.540	99.190	0.810	37.76	0.950	bicubic
417	regnetv_064.ra3_in1k	288	96.450	3.550	99.360	0.640	30.58	1.000	bicubic
418	resnext101_32x4d.fb_swsl_ig1b_ft_in1k	224	96.440	3.560	99.480	0.520	44.18	0.875	bilinear
419	cs3se_edgenet_x.c2ns_in1k	320	96.440	3.560	99.410	0.590	50.72	1.000	bicubic
420	vit_base_patch16_rope_reg1_gap_256.sbb_in1k	256	96.440	3.560	99.130	0.870	86.43	0.950	bicubic
421	seresnet152d.ra2_in1k	256	96.430	3.570	99.390	0.610	66.84	0.950	bicubic
422	convnext_base.fb_in1k	224	96.430	3.570	99.230	0.770	88.59	0.875	bicubic
423	mobilenetv4_hybrid_large.e600_r384_in1k	384	96.430	3.570	99.170	0.830	37.76	0.950	bicubic
424	xcit_small_24_p8_224.fb_in1k	224	96.430	3.570	99.130	0.870	47.63	1.000	bicubic
425	maxvit_rmlp_tiny_rw_256.sw_in1k	256	96.420	3.580	99.390	0.610	29.15	0.950	bicubic
426	vit_medium_patch16_rope_reg1_gap_256.sbb_in1k	256	96.420	3.580	99.250	0.750	38.74	0.950	bicubic
427	crossvit_15_dagger_408.in1k	408	96.420	3.580	99.160	0.840	28.50	1.000	bicubic
428	edgenext_base.usi_in1k	256	96.400	3.600	99.380	0.620	18.51	0.950	bicubic
429	resnetrs270.tf_in1k	256	96.400	3.600	99.250	0.750	129.86	1.000	bicubic
430	regnetz_d8.ra3_in1k	256	96.400	3.600	99.240	0.760	23.37	0.940	bicubic
431	cait_s24_224.fb_dist_in1k	224	96.400	3.600	99.150	0.850	46.92	1.000	bicubic
432	xcit_large_24_p8_224.fb_in1k	224	96.400	3.600	98.980	1.020	188.93	1.000	bicubic
433	hrnet_w48_ssld.paddle_in1k	224	96.390	3.610	99.410	0.590	77.47	0.950	bilinear
434	tf_efficientnet_b5.ra_in1k	456	96.390	3.610	99.330	0.670	30.39	0.934	bicubic
435	seresnext101_32x8d.ah_in1k	224	96.390	3.610	99.230	0.770	93.57	0.950	bicubic
436	vit_medium_patch16_reg4_gap_256.sbb_in1k	256	96.390	3.610	99.210	0.790	38.88	0.950	bicubic
437	resnet152d.ra2_in1k	320	96.380	3.620	99.390	0.610	60.21	1.000	bicubic
438	tf_efficientnet_b3.ns_jft_in1k	300	96.380	3.620	99.350	0.650	12.23	0.904	bicubic
439	pvt_v2_b4.in1k	224	96.380	3.620	99.180	0.820	62.56	0.900	bicubic
440	nextvit_large.bd_in1k	224	96.370	3.630	99.340	0.660	57.87	0.950	bicubic
441	edgenext_base.in21k_ft_in1k	256	96.360	3.640	99.380	0.620	18.51	0.950	bicubic
442	regnety_160.deit_in1k	288	96.360	3.640	99.330	0.670	83.59	1.000	bicubic
443	xception65.ra3_in1k	299	96.360	3.640	99.240	0.760	39.92	0.940	bicubic
444	regnety_064.ra3_in1k	288	96.360	3.640	99.220	0.780	30.58	1.000	bicubic
445	vit_betwixt_patch16_rope_reg4_gap_256.sbb_in1k	256	96.360	3.640	99.170	0.830	60.23	0.950	bicubic
446	hgnetv2_b3.ssld_stage2_ft_in1k	288	96.350	3.650	99.470	0.530	16.29	1.000	bicubic
447	convnextv2_nano.fcmae_ft_in22k_in1k_384	384	96.350	3.650	99.400	0.600	15.62	1.000	bicubic
448	repvit_m2_3.dist_450e_in1k	224	96.350	3.650	99.390	0.610	23.69	0.950	bicubic
449	dm_nfnet_f0.dm_in1k	256	96.350	3.650	99.340	0.660	71.49	0.900	bicubic
450	regnety_320.seer_ft_in1k	384	96.350	3.650	99.330	0.670	145.05	1.000	bicubic
451	fastvit_sa36.apple_dist_in1k	256	96.350	3.650	99.250	0.750	31.53	0.900	bicubic
452	dm_nfnet_f1.dm_in1k	224	96.350	3.650	99.220	0.780	132.63	0.910	bicubic
453	mvitv2_small.fb_in1k	224	96.350	3.650	99.220	0.780	34.87	0.900	bicubic
454	vit_medium_patch16_reg1_gap_256.sbb_in1k	256	96.350	3.650	99.220	0.780	38.88	0.950	bicubic
455	tf_efficientnetv2_s.in1k	384	96.350	3.650	99.200	0.800	21.46	1.000	bicubic
456	pvt_v2_b5.in1k	224	96.350	3.650	99.170	0.830	81.96	0.900	bicubic
457	efficientvit_b3.r256_in1k	256	96.350	3.650	99.110	0.890	48.65	1.000	bicubic
458	vit_little_patch16_reg1_gap_256.sbb_in12k_ft_in1k	256	96.340	3.660	99.320	0.680	22.52	0.950	bicubic
459	resnetaa101d.sw_in12k_ft_in1k	224	96.340	3.660	99.260	0.740	44.57	0.950	bicubic
460	seresnextaa101d_32x8d.ah_in1k	224	96.330	3.670	99.230	0.770	93.59	0.950	bicubic
461	rdnet_small.nv_in1k	224	96.330	3.670	99.200	0.800	50.44	0.900	bicubic
462	hiera_small_224.mae_in1k_ft_in1k	224	96.330	3.670	99.170	0.830	35.01	0.900	bicubic
463	efficientvit_l1.r224_in1k	224	96.330	3.670	99.050	0.950	52.65	1.000	bicubic
464	mobilenetv4_hybrid_medium.ix_e550_r384_in1k	448	96.320	3.680	99.330	0.670	11.07	1.000	bicubic
465	volo_d1_224.sail_in1k	224	96.320	3.680	99.310	0.690	26.63	0.960	bicubic
466	regnetz_040_h.ra3_in1k	256	96.320	3.680	99.300	0.700	28.94	1.000	bicubic
467	tf_efficientnetv2_s.in21k_ft_in1k	300	96.320	3.680	99.240	0.760	21.46	1.000	bicubic
468	swinv2_small_window8_256.ms_in1k	256	96.320	3.680	99.200	0.800	49.73	0.900	bicubic
469	resnet200d.ra2_in1k	256	96.310	3.690	99.250	0.750	64.69	0.950	bicubic
470	resnext101_32x8d.fb_wsl_ig1b_ft_in1k	224	96.300	3.700	99.420	0.580	88.79	0.875	bilinear
471	resnet101d.ra2_in1k	320	96.300	3.700	99.230	0.770	44.57	1.000	bicubic
472	deit3_base_patch16_224.fb_in1k	224	96.290	3.710	99.190	0.810	86.59	0.900	bicubic
473	tiny_vit_11m_224.dist_in22k_ft_in1k	224	96.290	3.710	99.190	0.810	11.00	0.950	bicubic
474	hgnetv2_b3.ssld_stage1_in22k_in1k	288	96.270	3.730	99.480	0.520	16.29	1.000	bicubic
475	regnetz_d8_evos.ch_in1k	256	96.270	3.730	99.340	0.660	23.46	0.950	bicubic
476	swin_s3_base_224.ms_in1k	224	96.270	3.730	99.160	0.840	71.13	0.900	bicubic
477	gcvit_small.in1k	224	96.270	3.730	99.150	0.850	51.09	0.875	bicubic
478	twins_svt_large.in1k	224	96.260	3.740	99.170	0.830	99.27	0.900	bicubic
479	inception_next_small.sail_in1k	224	96.250	3.750	99.230	0.770	49.37	0.875	bicubic
480	nextvit_base.bd_in1k	224	96.250	3.750	99.230	0.770	44.82	0.950	bicubic
481	eca_nfnet_l1.ra2_in1k	256	96.250	3.750	99.220	0.780	41.41	0.900	bicubic
482	nest_base_jx.goog_in1k	224	96.250	3.750	99.220	0.780	67.72	0.875	bicubic
483	pit_b_distilled_224.in1k	224	96.250	3.750	99.130	0.870	74.79	0.900	bicubic
484	convnext_tiny.fb_in22k_ft_in1k	224	96.240	3.760	99.340	0.660	28.59	0.875	bicubic
485	mobilenetv4_conv_large.e600_r384_in1k	448	96.240	3.760	99.310	0.690	32.59	1.000	bicubic
486	fastvit_sa36.apple_in1k	256	96.240	3.760	99.170	0.830	31.53	0.900	bicubic
487	maxvit_tiny_rw_224.sw_in1k	224	96.240	3.760	99.120	0.880	29.06	0.950	bicubic
488	swin_s3_small_224.ms_in1k	224	96.240	3.760	99.070	0.930	49.74	0.900	bicubic
489	hgnet_tiny.ssld_in1k	288	96.230	3.770	99.420	0.580	14.74	1.000	bicubic
490	regnetv_040.ra3_in1k	288	96.230	3.770	99.300	0.700	20.64	1.000	bicubic
491	vit_betwixt_patch16_reg1_gap_256.sbb_in1k	256	96.230	3.770	99.110	0.890	60.40	0.950	bicubic
492	ecaresnet101d.miil_in1k	288	96.220	3.780	99.310	0.690	44.57	0.950	bicubic
493	deit3_small_patch16_384.fb_in1k	384	96.220	3.780	99.280	0.720	22.21	1.000	bicubic
494	rexnetr_200.sw_in12k_ft_in1k	288	96.220	3.780	99.250	0.750	16.52	1.000	bicubic
495	tf_efficientnetv2_b3.in21k_ft_in1k	300	96.220	3.780	99.240	0.760	14.36	0.900	bicubic
496	resnet152.a1h_in1k	288	96.220	3.780	99.230	0.770	60.19	1.000	bicubic
497	xcit_small_24_p16_224.fb_dist_in1k	224	96.220	3.780	99.210	0.790	47.67	1.000	bicubic
498	swinv2_cr_small_ns_224.sw_in1k	224	96.220	3.780	99.130	0.870	49.70	0.900	bicubic
499	hgnetv2_b2.ssld_stage2_ft_in1k	288	96.210	3.790	99.420	0.580	11.22	1.000	bicubic
500	convnextv2_tiny.fcmae_ft_in1k	288	96.210	3.790	99.240	0.760	28.64	1.000	bicubic
501	xception65p.ra3_in1k	299	96.210	3.790	99.180	0.820	39.82	0.940	bicubic
502	regnetz_d32.ra3_in1k	256	96.200	3.800	99.280	0.720	27.58	0.950	bicubic
503	resnetrs200.tf_in1k	256	96.200	3.800	99.270	0.730	93.21	1.000	bicubic
504	mobilevitv2_175.cvnets_in22k_ft_in1k_384	384	96.200	3.800	99.130	0.870	14.25	1.000	bicubic
505	tiny_vit_21m_224.in1k	224	96.200	3.800	99.130	0.870	21.20	0.950	bicubic
506	convnext_small.fb_in1k	224	96.200	3.800	99.110	0.890	50.22	0.875	bicubic
507	gcvit_tiny.in1k	224	96.190	3.810	99.230	0.770	28.22	0.875	bicubic
508	focalnet_small_lrf.ms_in1k	224	96.190	3.810	99.190	0.810	50.34	0.900	bicubic
509	caformer_s18.sail_in1k	224	96.190	3.810	99.000	1.000	26.34	1.000	bicubic
510	repvit_m2_3.dist_300e_in1k	224	96.180	3.820	99.340	0.660	23.69	0.950	bicubic
511	twins_svt_base.in1k	224	96.180	3.820	99.050	0.950	56.07	0.900	bicubic
512	tf_efficientnet_b4.ap_in1k	380	96.170	3.830	99.280	0.720	19.34	0.922	bicubic
513	mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	320	96.170	3.830	99.200	0.800	11.07	1.000	bicubic
514	deit_base_patch16_384.fb_in1k	384	96.170	3.830	99.150	0.850	86.86	1.000	bicubic
515	tresnet_v2_l.miil_in21k_ft_in1k	224	96.160	3.840	99.250	0.750	46.17	0.875	bilinear
516	fastvit_sa24.apple_dist_in1k	256	96.160	3.840	99.210	0.790	21.55	0.900	bicubic
517	efficientnet_b4.ra2_in1k	384	96.160	3.840	99.190	0.810	19.34	1.000	bicubic
518	twins_pcpvt_large.in1k	224	96.160	3.840	99.190	0.810	60.99	0.900	bicubic
519	efficientnetv2_rw_s.ra2_in1k	288	96.160	3.840	99.150	0.850	23.94	1.000	bicubic
520	regnetz_c16_evos.ch_in1k	320	96.150	3.850	99.380	0.620	13.49	0.950	bicubic
521	resnetv2_101.a1h_in1k	288	96.150	3.850	99.160	0.840	44.54	1.000	bicubic
522	mobilenetv4_conv_aa_large.e600_r384_in1k	384	96.150	3.850	99.110	0.890	32.59	0.950	bicubic
523	tf_efficientnetv2_s.in1k	300	96.150	3.850	99.090	0.910	21.46	1.000	bicubic
524	maxvit_tiny_tf_224.in1k	224	96.140	3.860	99.250	0.750	30.92	0.950	bicubic
525	sequencer2d_l.in1k	224	96.140	3.860	99.160	0.840	54.30	0.875	bicubic
526	nfnet_l0.ra2_in1k	288	96.130	3.870	99.240	0.760	35.07	1.000	bicubic
527	resnext101_64x4d.c1_in1k	288	96.130	3.870	99.230	0.770	83.46	1.000	bicubic
528	vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	224	96.120	3.880	99.200	0.800	88.22	0.900	bicubic
529	xcit_medium_24_p8_224.fb_in1k	224	96.120	3.880	98.890	1.110	84.32	1.000	bicubic
530	efficientformer_l7.snap_dist_in1k	224	96.110	3.890	99.270	0.730	82.23	0.950	bicubic
531	xcit_small_12_p8_224.fb_in1k	224	96.110	3.890	99.170	0.830	26.21	1.000	bicubic
532	resnetv2_101x1_bit.goog_in21k_ft_in1k	448	96.100	3.900	99.280	0.720	44.54	1.000	bilinear
533	resnetv2_50x1_bit.goog_distilled_in1k	224	96.100	3.900	99.270	0.730	25.55	0.875	bicubic
534	deit_base_distilled_patch16_224.fb_in1k	224	96.100	3.900	99.190	0.810	87.34	0.900	bicubic
535	regnetv_064.ra3_in1k	224	96.090	3.910	99.310	0.690	30.58	0.950	bicubic
536	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	224	96.090	3.910	99.310	0.690	236.34	0.875	bicubic
537	regnety_320.tv2_in1k	224	96.090	3.910	99.230	0.770	145.05	0.965	bicubic
538	deit3_medium_patch16_224.fb_in1k	224	96.090	3.910	99.190	0.810	38.85	0.900	bicubic
539	focalnet_small_srf.ms_in1k	224	96.090	3.910	99.160	0.840	49.89	0.900	bicubic
540	vit_betwixt_patch16_reg4_gap_256.sbb_in1k	256	96.090	3.910	99.150	0.850	60.40	0.950	bicubic
541	swin_base_patch4_window7_224.ms_in1k	224	96.090	3.910	99.040	0.960	87.77	0.900	bicubic
542	swinv2_cr_small_224.sw_in1k	224	96.090	3.910	98.870	1.130	49.70	0.900	bicubic
543	tf_efficientnet_b5.in1k	456	96.080	3.920	99.300	0.700	30.39	0.934	bicubic
544	resnet152d.ra2_in1k	256	96.070	3.930	99.300	0.700	60.21	0.950	bicubic
545	efficientformerv2_l.snap_dist_in1k	224	96.060	3.940	99.200	0.800	26.32	0.950	bicubic
546	cs3edgenet_x.c2_in1k	288	96.060	3.940	99.130	0.870	47.82	1.000	bicubic
547	mobilenetv4_hybrid_medium.ix_e550_r384_in1k	384	96.050	3.950	99.240	0.760	11.07	0.950	bicubic
548	convnextv2_nano.fcmae_ft_in22k_in1k	288	96.050	3.950	99.220	0.780	15.62	1.000	bicubic
549	regnety_160.deit_in1k	224	96.050	3.950	99.210	0.790	83.59	0.950	bicubic
550	xcit_tiny_12_p8_384.fb_dist_in1k	384	96.050	3.950	99.130	0.870	6.71	1.000	bicubic
551	resnet101.a1h_in1k	288	96.040	3.960	99.140	0.860	44.55	1.000	bicubic
552	cs3sedarknet_x.c2ns_in1k	288	96.040	3.960	99.110	0.890	35.40	1.000	bicubic
553	maxxvit_rmlp_nano_rw_256.sw_in1k	256	96.030	3.970	99.260	0.740	16.78	0.950	bicubic
554	resnext101_64x4d.tv_in1k	224	96.030	3.970	99.160	0.840	83.46	0.875	bilinear
555	regnety_080.ra3_in1k	224	96.030	3.970	99.110	0.890	39.18	0.950	bicubic
556	resnetrs152.tf_in1k	256	96.030	3.970	99.100	0.900	86.62	1.000	bicubic
557	mobilevitv2_200.cvnets_in22k_ft_in1k_384	384	96.030	3.970	99.090	0.910	18.45	1.000	bicubic
558	coatnet_1_rw_224.sw_in1k	224	96.030	3.970	99.050	0.950	41.72	0.950	bicubic
559	xcit_small_12_p16_224.fb_dist_in1k	224	96.020	3.980	99.150	0.850	26.25	1.000	bicubic
560	efficientvit_b3.r224_in1k	224	96.020	3.980	98.920	1.080	48.65	0.950	bicubic
561	convnext_tiny_hnf.a2h_in1k	288	96.010	3.990	99.080	0.920	28.59	1.000	bicubic
562	regnety_040.ra3_in1k	288	96.000	4.000	99.200	0.800	20.65	1.000	bicubic
563	pvt_v2_b3.in1k	224	96.000	4.000	99.190	0.810	45.24	0.900	bicubic
564	maxvit_rmlp_nano_rw_256.sw_in1k	256	96.000	4.000	98.960	1.040	15.50	0.950	bicubic
565	convnext_nano.in12k_ft_in1k	288	95.990	4.010	99.310	0.690	15.59	1.000	bicubic
566	xcit_tiny_24_p16_384.fb_dist_in1k	384	95.990	4.010	99.230	0.770	12.12	1.000	bicubic
567	regnety_032.ra_in1k	288	95.990	4.010	99.190	0.810	19.44	1.000	bicubic
568	regnetx_320.tv2_in1k	224	95.990	4.010	99.100	0.900	107.81	0.965	bicubic
569	resnext101_32x8d.tv2_in1k	224	95.990	4.010	99.090	0.910	88.79	0.965	bilinear
570	sequencer2d_s.in1k	224	95.990	4.010	99.050	0.950	27.65	0.875	bicubic
571	hrnet_w18_ssld.paddle_in1k	288	95.980	4.020	99.290	0.710	21.30	1.000	bilinear
572	hgnetv2_b3.ssld_stage1_in22k_in1k	224	95.980	4.020	99.280	0.720	16.29	0.965	bicubic
573	efficientvit_b2.r288_in1k	288	95.980	4.020	99.200	0.800	24.33	1.000	bicubic
574	regnety_160.tv2_in1k	224	95.980	4.020	99.160	0.840	83.59	0.965	bicubic
575	swinv2_tiny_window16_256.ms_in1k	256	95.980	4.020	99.150	0.850	28.35	0.900	bicubic
576	regnetz_c16.ra3_in1k	320	95.980	4.020	99.100	0.900	13.46	1.000	bicubic
577	eca_nfnet_l0.ra2_in1k	288	95.970	4.030	99.210	0.790	24.14	1.000	bicubic
578	tresnet_xl.miil_in1k_448	448	95.970	4.030	99.120	0.880	78.44	0.875	bilinear
579	nest_small_jx.goog_in1k	224	95.970	4.030	99.040	0.960	38.35	0.875	bicubic
580	tf_efficientnet_b4.aa_in1k	380	95.950	4.050	99.170	0.830	19.34	0.922	bicubic
581	coatnet_rmlp_1_rw_224.sw_in1k	224	95.950	4.050	99.160	0.840	41.69	0.950	bicubic
582	cs3se_edgenet_x.c2ns_in1k	256	95.950	4.050	99.120	0.880	50.72	0.950	bicubic
583	convformer_s18.sail_in1k	224	95.950	4.050	98.890	1.110	26.77	1.000	bicubic
584	repvit_m1_5.dist_450e_in1k	224	95.930	4.070	99.160	0.840	14.64	0.950	bicubic
585	maxvit_nano_rw_256.sw_in1k	256	95.930	4.070	99.000	1.000	15.45	0.950	bicubic
586	hgnetv2_b3.ssld_stage2_ft_in1k	224	95.920	4.080	99.280	0.720	16.29	0.965	bicubic
587	coat_small.in1k	224	95.920	4.080	99.160	0.840	21.69	0.900	bicubic
588	fastvit_sa24.apple_in1k	256	95.910	4.090	99.160	0.840	21.55	0.900	bicubic
589	resnet101d.ra2_in1k	256	95.900	4.100	99.150	0.850	44.57	0.950	bicubic
590	convnextv2_nano.fcmae_ft_in1k	288	95.900	4.100	99.110	0.890	15.62	1.000	bicubic
591	regnety_080_tv.tv2_in1k	224	95.900	4.100	99.110	0.890	39.38	0.965	bicubic
592	regnetx_160.tv2_in1k	224	95.900	4.100	99.080	0.920	54.28	0.965	bicubic
593	mobilenetv4_conv_large.e500_r256_in1k	320	95.890	4.110	99.120	0.880	32.59	1.000	bicubic
594	tresnet_l.miil_in1k_448	448	95.890	4.110	99.110	0.890	55.99	0.875	bilinear
595	resnet152.a1h_in1k	224	95.890	4.110	99.080	0.920	60.19	0.950	bicubic
596	maxxvitv2_nano_rw_256.sw_in1k	256	95.890	4.110	99.040	0.960	23.70	0.950	bicubic
597	resnext50_32x4d.fb_swsl_ig1b_ft_in1k	224	95.880	4.120	99.250	0.750	25.03	0.875	bilinear
598	resnet51q.ra2_in1k	288	95.880	4.120	99.110	0.890	35.70	1.000	bilinear
599	mvitv2_tiny.fb_in1k	224	95.880	4.120	99.090	0.910	24.17	0.900	bicubic
600	swin_small_patch4_window7_224.ms_in1k	224	95.880	4.120	99.020	0.980	49.61	0.900	bicubic
601	cs3darknet_x.c2ns_in1k	288	95.870	4.130	99.190	0.810	35.05	1.000	bicubic
602	regnety_064.ra3_in1k	224	95.870	4.130	99.140	0.860	30.58	0.950	bicubic
603	cait_xxs36_384.fb_dist_in1k	384	95.870	4.130	99.090	0.910	17.37	1.000	bicubic
604	nextvit_small.bd_in1k	224	95.870	4.130	99.080	0.920	31.76	0.950	bicubic
605	resnest101e.in1k	256	95.850	4.150	99.210	0.790	48.28	0.875	bilinear
606	resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k	224	95.850	4.150	99.170	0.830	194.03	0.875	bilinear
607	vit_large_patch32_384.orig_in21k_ft_in1k	384	95.840	4.160	99.160	0.840	306.63	1.000	bicubic
608	rexnet_300.nav_in1k	224	95.830	4.170	99.130	0.870	34.71	0.875	bicubic
609	sequencer2d_m.in1k	224	95.820	4.180	99.110	0.890	38.31	0.875	bicubic
610	mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	256	95.820	4.180	99.100	0.900	11.07	0.950	bicubic
611	tf_efficientnet_b4.in1k	380	95.820	4.180	99.060	0.940	19.34	0.922	bicubic
612	hgnetv2_b2.ssld_stage1_in22k_in1k	288	95.810	4.190	99.270	0.730	11.22	1.000	bicubic
613	resnetaa50d.sw_in12k_ft_in1k	288	95.810	4.190	99.180	0.820	25.58	1.000	bicubic
614	rexnetr_200.sw_in12k_ft_in1k	224	95.810	4.190	99.170	0.830	16.52	0.950	bicubic
615	xcit_tiny_24_p8_224.fb_dist_in1k	224	95.800	4.200	99.210	0.790	12.11	1.000	bicubic
616	mobilenetv4_conv_large.e600_r384_in1k	384	95.800	4.200	99.060	0.940	32.59	0.950	bicubic
617	resnet61q.ra2_in1k	288	95.800	4.200	99.000	1.000	36.85	1.000	bicubic
618	twins_pcpvt_base.in1k	224	95.790	4.210	99.130	0.870	43.83	0.900	bicubic
619	convnext_tiny.fb_in1k	288	95.780	4.220	99.150	0.850	28.59	1.000	bicubic
620	mobilenetv4_hybrid_medium.ix_e550_r256_in1k	320	95.770	4.230	99.150	0.850	11.07	1.000	bicubic
621	vit_relpos_base_patch16_clsgap_224.sw_in1k	224	95.770	4.230	99.040	0.960	86.43	0.900	bicubic
622	efficientnet_b4.ra2_in1k	320	95.760	4.240	99.160	0.840	19.34	0.875	bicubic
623	regnetv_040.ra3_in1k	224	95.750	4.250	99.220	0.780	20.64	0.950	bicubic
624	tf_efficientnet_b2.ns_jft_in1k	260	95.750	4.250	99.120	0.880	9.11	0.890	bicubic
625	poolformerv2_m48.sail_in1k	224	95.750	4.250	98.980	1.020	73.35	1.000	bicubic
626	ecaresnet101d_pruned.miil_in1k	288	95.740	4.260	99.180	0.820	24.88	0.950	bicubic
627	vit_little_patch16_reg4_gap_256.sbb_in1k	256	95.740	4.260	99.120	0.880	22.52	0.950	bicubic
628	gc_efficientnetv2_rw_t.agc_in1k	288	95.740	4.260	99.020	0.980	13.68	1.000	bicubic
629	tresnet_m.miil_in21k_ft_in1k	224	95.730	4.270	99.030	0.970	31.39	0.875	bilinear
630	seresnext50_32x4d.racm_in1k	288	95.720	4.280	99.190	0.810	27.56	0.950	bicubic
631	efficientnet_b3.ra2_in1k	320	95.720	4.280	99.040	0.960	12.23	1.000	bicubic
632	pnasnet5large.tf_in1k	331	95.720	4.280	98.920	1.080	86.06	0.911	bicubic
633	hgnet_tiny.ssld_in1k	224	95.710	4.290	99.260	0.740	14.74	0.965	bicubic
634	convnext_nano.in12k_ft_in1k	224	95.710	4.290	99.250	0.750	15.59	0.950	bicubic
635	resnext101_64x4d.c1_in1k	224	95.710	4.290	99.030	0.970	83.46	0.950	bicubic
636	regnetz_c16_evos.ch_in1k	256	95.700	4.300	99.230	0.770	13.49	0.950	bicubic
637	mobilevitv2_150.cvnets_in22k_ft_in1k_384	384	95.700	4.300	99.150	0.850	10.59	1.000	bicubic
638	coatnet_bn_0_rw_224.sw_in1k	224	95.700	4.300	99.060	0.940	27.44	0.950	bicubic
639	repvit_m1_5.dist_300e_in1k	224	95.700	4.300	98.990	1.010	14.64	0.950	bicubic
640	nasnetalarge.tf_in1k	331	95.700	4.300	98.910	1.090	88.75	0.911	bicubic
641	flexivit_small.600ep_in1k	240	95.690	4.310	99.080	0.920	22.06	0.950	bicubic
642	convnextv2_tiny.fcmae_ft_in1k	224	95.680	4.320	99.150	0.850	28.64	0.875	bicubic
643	xcit_tiny_24_p8_224.fb_in1k	224	95.680	4.320	99.060	0.940	12.11	1.000	bicubic
644	resnetv2_101.a1h_in1k	224	95.680	4.320	99.010	0.990	44.54	0.950	bicubic
645	efficientvit_b2.r256_in1k	256	95.670	4.330	99.060	0.940	24.33	1.000	bicubic
646	crossvit_15_dagger_240.in1k	240	95.670	4.330	98.810	1.190	28.21	0.875	bicubic
647	wide_resnet50_2.racm_in1k	288	95.660	4.340	99.230	0.770	68.88	0.950	bicubic
648	davit_tiny.msft_in1k	224	95.660	4.340	99.030	0.970	28.36	0.950	bicubic
649	hgnet_small.paddle_in1k	288	95.650	4.350	99.150	0.850	24.36	1.000	bicubic
650	resnetv2_50d_evos.ah_in1k	288	95.650	4.350	99.110	0.890	25.59	1.000	bicubic
651	vit_small_r26_s32_224.augreg_in21k_ft_in1k	224	95.640	4.360	99.190	0.810	36.43	0.900	bicubic
652	rdnet_tiny.nv_in1k	224	95.640	4.360	99.030	0.970	23.86	0.900	bicubic
653	poolformer_m48.sail_in1k	224	95.640	4.360	98.950	1.050	73.47	0.950	bicubic
654	cs3sedarknet_x.c2ns_in1k	256	95.630	4.370	98.980	1.020	35.40	0.887	bicubic
655	pit_b_224.in1k	224	95.630	4.370	98.670	1.330	73.76	0.900	bicubic
656	crossvit_18_dagger_240.in1k	240	95.620	4.380	99.050	0.950	44.27	0.875	bicubic
657	efficientformer_l3.snap_dist_in1k	224	95.610	4.390	99.180	0.820	31.41	0.950	bicubic
658	efficientnetv2_rw_t.ra2_in1k	288	95.610	4.390	99.070	0.930	13.65	1.000	bicubic
659	hiera_tiny_224.mae_in1k_ft_in1k	224	95.600	4.400	98.870	1.130	27.91	0.900	bicubic
660	gcvit_xtiny.in1k	224	95.590	4.410	99.030	0.970	19.98	0.875	bicubic
661	vit_relpos_base_patch16_224.sw_in1k	224	95.590	4.410	99.030	0.970	86.43	0.900	bicubic
662	pvt_v2_b2_li.in1k	224	95.590	4.410	98.990	1.010	22.55	0.900	bicubic
663	flexivit_small.1200ep_in1k	240	95.560	4.440	99.120	0.880	22.06	0.950	bicubic
664	regnety_040.ra3_in1k	224	95.560	4.440	99.050	0.950	20.65	0.950	bicubic
665	xception41p.ra3_in1k	299	95.560	4.440	98.930	1.070	26.91	0.940	bicubic
666	coat_lite_small.in1k	224	95.560	4.440	98.880	1.120	19.84	0.900	bicubic
667	wide_resnet101_2.tv2_in1k	224	95.550	4.450	99.090	0.910	126.89	0.965	bilinear
668	tiny_vit_11m_224.in1k	224	95.550	4.450	98.990	1.010	11.00	0.950	bicubic
669	convit_base.fb_in1k	224	95.550	4.450	98.890	1.110	86.54	0.875	bicubic
670	vit_base_patch32_clip_224.laion2b_ft_in1k	224	95.550	4.450	98.870	1.130	88.22	0.900	bicubic
671	hgnetv2_b2.ssld_stage2_ft_in1k	224	95.540	4.460	99.180	0.820	11.22	0.965	bicubic
672	ecaresnet101d.miil_in1k	224	95.540	4.460	99.140	0.860	44.57	0.875	bicubic
673	levit_384.fb_dist_in1k	224	95.540	4.460	99.050	0.950	39.13	0.900	bicubic
674	levit_conv_384.fb_dist_in1k	224	95.540	4.460	99.050	0.950	39.13	0.900	bicubic
675	convnext_tiny.fb_in1k	224	95.540	4.460	99.000	1.000	28.59	0.875	bicubic
676	xcit_small_24_p16_224.fb_in1k	224	95.540	4.460	98.760	1.240	47.67	1.000	bicubic
677	convnextv2_nano.fcmae_ft_in22k_in1k	224	95.530	4.470	99.120	0.880	15.62	0.875	bicubic
678	resnet152.tv2_in1k	224	95.530	4.470	98.960	1.040	60.19	0.965	bilinear
679	ecaresnet50t.ra2_in1k	320	95.520	4.480	99.120	0.880	25.57	0.950	bicubic
680	vit_relpos_medium_patch16_rpn_224.sw_in1k	224	95.520	4.480	99.080	0.920	38.73	0.900	bicubic
681	convnext_tiny_hnf.a2h_in1k	224	95.520	4.480	99.010	0.990	28.59	0.950	bicubic
682	regnetz_c16.ra3_in1k	256	95.520	4.480	98.970	1.030	13.46	0.940	bicubic
683	flexivit_small.300ep_in1k	240	95.520	4.480	98.960	1.040	22.06	0.950	bicubic
684	xcit_medium_24_p16_224.fb_in1k	224	95.520	4.480	98.760	1.240	84.40	1.000	bicubic
685	cs3edgenet_x.c2_in1k	256	95.510	4.490	99.030	0.970	47.82	0.887	bicubic
686	swinv2_tiny_window8_256.ms_in1k	256	95.500	4.500	99.120	0.880	28.35	0.900	bicubic
687	fbnetv3_g.ra2_in1k	288	95.500	4.500	98.990	1.010	16.62	0.950	bilinear
688	pvt_v2_b2.in1k	224	95.500	4.500	98.990	1.010	25.36	0.900	bicubic
689	resnetv2_50d_gn.ah_in1k	288	95.500	4.500	98.980	1.020	25.57	1.000	bicubic
690	visformer_small.in1k	224	95.500	4.500	98.900	1.100	40.22	0.900	bicubic
691	crossvit_base_240.in1k	240	95.500	4.500	98.820	1.180	105.03	0.875	bicubic
692	swin_tiny_patch4_window7_224.ms_in22k_ft_in1k	224	95.490	4.510	99.220	0.780	28.29	0.900	bicubic
693	focalnet_tiny_srf.ms_in1k	224	95.490	4.510	99.140	0.860	28.43	0.900	bicubic
694	resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k	224	95.490	4.510	99.110	0.890	88.79	0.875	bilinear
695	ecaresnet50d.miil_in1k	288	95.490	4.510	99.090	0.910	25.58	0.950	bicubic
696	resnet51q.ra2_in1k	256	95.490	4.510	98.990	1.010	35.70	0.875	bilinear
697	vit_relpos_medium_patch16_cls_224.sw_in1k	224	95.490	4.510	98.950	1.050	38.76	0.900	bicubic
698	resnet101.a1_in1k	288	95.490	4.510	98.850	1.150	44.55	1.000	bicubic
699	crossvit_18_240.in1k	240	95.490	4.510	98.800	1.200	43.27	0.875	bicubic
700	resnet152.a2_in1k	288	95.490	4.510	98.790	1.210	60.19	1.000	bicubic
701	resnet152.a1_in1k	288	95.490	4.510	98.770	1.230	60.19	1.000	bicubic
702	resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k	224	95.480	4.520	99.100	0.900	44.18	0.875	bilinear
703	focalnet_tiny_lrf.ms_in1k	224	95.480	4.520	98.940	1.060	28.65	0.900	bicubic
704	resnet50.fb_swsl_ig1b_ft_in1k	224	95.470	4.530	99.330	0.670	25.56	0.875	bilinear
705	inception_next_tiny.sail_in1k	224	95.470	4.530	99.010	0.990	28.06	0.875	bicubic
706	vit_relpos_medium_patch16_224.sw_in1k	224	95.470	4.530	98.960	1.040	38.75	0.900	bicubic
707	mobilenetv4_hybrid_medium.e500_r224_in1k	256	95.470	4.530	98.880	1.120	11.07	1.000	bicubic
708	ecaresnet50t.a1_in1k	288	95.460	4.540	99.020	0.980	25.57	1.000	bicubic
709	coatnet_0_rw_224.sw_in1k	224	95.460	4.540	98.720	1.280	27.44	0.950	bicubic
710	xcit_large_24_p16_224.fb_in1k	224	95.460	4.540	98.630	1.370	189.10	1.000	bicubic
711	tresnet_xl.miil_in1k	224	95.440	4.560	99.060	0.940	78.44	0.875	bilinear
712	coatnet_rmlp_nano_rw_224.sw_in1k	224	95.440	4.560	98.990	1.010	15.15	0.900	bicubic
713	deit_base_patch16_224.fb_in1k	224	95.440	4.560	98.840	1.160	86.57	0.900	bicubic
714	resnext50_32x4d.a1h_in1k	288	95.440	4.560	98.840	1.160	25.03	1.000	bicubic
715	nfnet_l0.ra2_in1k	224	95.430	4.570	99.090	0.910	35.07	0.900	bicubic
716	convnextv2_nano.fcmae_ft_in1k	224	95.430	4.570	98.980	1.020	15.62	0.875	bicubic
717	poolformerv2_m36.sail_in1k	224	95.430	4.570	98.880	1.120	56.08	1.000	bicubic
718	xcit_small_12_p16_224.fb_in1k	224	95.430	4.570	98.840	1.160	26.25	1.000	bicubic
719	edgenext_small.usi_in1k	320	95.420	4.580	99.100	0.900	5.59	1.000	bicubic
720	resnetrs101.tf_in1k	288	95.420	4.580	99.030	0.970	63.62	0.940	bicubic
721	halo2botnet50ts_256.a1h_in1k	256	95.420	4.580	99.020	0.980	22.64	0.950	bicubic
722	resnet101.a2_in1k	288	95.420	4.580	98.930	1.070	44.55	1.000	bicubic
723	vit_small_patch16_224.augreg_in21k_ft_in1k	224	95.410	4.590	99.130	0.870	22.05	0.900	bicubic
724	cs3darknet_x.c2ns_in1k	256	95.410	4.590	99.020	0.980	35.05	0.950	bicubic
725	coatnext_nano_rw_224.sw_in1k	224	95.410	4.590	99.000	1.000	14.70	0.900	bicubic
726	poolformer_m36.sail_in1k	224	95.410	4.590	98.840	1.160	56.17	0.950	bicubic
727	regnety_032.ra_in1k	224	95.400	4.600	99.080	0.920	19.44	0.950	bicubic
728	vit_base_patch16_rpn_224.sw_in1k	224	95.390	4.610	98.950	1.050	86.54	0.900	bicubic
729	efficientformerv2_s2.snap_dist_in1k	224	95.380	4.620	98.950	1.050	12.71	0.950	bicubic
730	dm_nfnet_f0.dm_in1k	192	95.380	4.620	98.920	1.080	71.49	0.900	bicubic
731	resnet101.a1h_in1k	224	95.370	4.630	98.860	1.140	44.55	0.950	bicubic
732	mobilenetv4_hybrid_medium.ix_e550_r256_in1k	256	95.370	4.630	98.810	1.190	11.07	0.950	bicubic
733	hrnet_w18_ssld.paddle_in1k	224	95.360	4.640	99.070	0.930	21.30	0.950	bilinear
734	resnext101_32x8d.tv2_in1k	176	95.360	4.640	99.050	0.950	88.79	0.875	bilinear
735	resnetaa50d.sw_in12k_ft_in1k	224	95.360	4.640	98.980	1.020	25.58	0.950	bicubic
736	mixer_b16_224.miil_in21k_ft_in1k	224	95.360	4.640	98.870	1.130	59.88	0.875	bilinear
737	ecaresnet50t.a2_in1k	288	95.350	4.650	98.930	1.070	25.57	1.000	bicubic
738	tf_efficientnet_b3.ap_in1k	300	95.350	4.650	98.900	1.100	12.23	0.904	bicubic
739	convnext_nano.d1h_in1k	288	95.350	4.650	98.850	1.150	15.59	1.000	bicubic
740	vit_base_patch16_224.orig_in21k_ft_in1k	224	95.340	4.660	99.010	0.990	86.57	0.900	bicubic
741	tf_efficientnetv2_b3.in21k_ft_in1k	240	95.340	4.660	98.970	1.030	14.36	0.900	bicubic
742	resnet61q.ra2_in1k	256	95.340	4.660	98.900	1.100	36.85	0.900	bicubic
743	seresnet50.ra2_in1k	288	95.330	4.670	99.010	0.990	28.09	0.950	bicubic
744	swinv2_cr_tiny_ns_224.sw_in1k	224	95.330	4.670	98.940	1.060	28.33	0.900	bicubic
745	poolformerv2_s36.sail_in1k	224	95.330	4.670	98.900	1.100	30.79	1.000	bicubic
746	cs3sedarknet_l.c2ns_in1k	288	95.320	4.680	99.140	0.860	21.91	0.950	bicubic
747	resnet50d.ra4_e3600_r224_in1k	288	95.320	4.680	98.970	1.030	25.58	1.000	bicubic
748	efficientnet_b1.ra4_e3600_r240_in1k	288	95.320	4.680	98.820	1.180	7.79	1.000	bicubic
749	efficientvit_b2.r224_in1k	224	95.310	4.690	98.790	1.210	24.33	0.950	bicubic
750	regnety_032.tv2_in1k	224	95.300	4.700	98.930	1.070	19.44	0.965	bicubic
751	eca_nfnet_l0.ra2_in1k	224	95.290	4.710	99.100	0.900	24.14	0.900	bicubic
752	ecaresnetlight.miil_in1k	288	95.290	4.710	99.040	0.960	30.16	0.950	bicubic
753	vit_small_patch16_384.augreg_in1k	384	95.290	4.710	99.010	0.990	22.20	1.000	bicubic
754	resnet101.tv2_in1k	224	95.290	4.710	98.930	1.070	44.55	0.965	bilinear
755	resnet50_gn.a1h_in1k	288	95.280	4.720	99.000	1.000	25.56	0.950	bicubic
756	gcresnet50t.ra2_in1k	288	95.280	4.720	98.910	1.090	25.90	1.000	bicubic
757	tresnet_l.miil_in1k	224	95.270	4.730	99.010	0.990	55.99	0.875	bilinear
758	nest_tiny_jx.goog_in1k	224	95.260	4.740	98.970	1.030	17.06	0.875	bicubic
759	cait_xxs24_384.fb_dist_in1k	384	95.260	4.740	98.960	1.040	12.03	1.000	bicubic
760	convnextv2_pico.fcmae_ft_in1k	288	95.250	4.750	98.930	1.070	9.07	0.950	bicubic
761	mobilevitv2_175.cvnets_in22k_ft_in1k	256	95.250	4.750	98.800	1.200	14.25	0.888	bicubic
762	repvit_m3.dist_in1k	224	95.240	4.760	99.060	0.940	10.68	0.950	bicubic
763	vit_srelpos_medium_patch16_224.sw_in1k	224	95.240	4.760	98.980	1.020	38.74	0.900	bicubic
764	resnetaa50.a1h_in1k	288	95.240	4.760	98.910	1.090	25.56	1.000	bicubic
765	coatnet_nano_rw_224.sw_in1k	224	95.240	4.760	98.870	1.130	15.14	0.900	bicubic
766	twins_pcpvt_small.in1k	224	95.230	4.770	98.880	1.120	24.11	0.900	bicubic
767	hgnetv2_b2.ssld_stage1_in22k_in1k	224	95.220	4.780	99.080	0.920	11.22	0.965	bicubic
768	twins_svt_small.in1k	224	95.220	4.780	98.880	1.120	24.06	0.900	bicubic
769	efficientnet_b3.ra2_in1k	288	95.190	4.810	99.040	0.960	12.23	0.875	bicubic
770	swin_s3_tiny_224.ms_in1k	224	95.190	4.810	98.960	1.040	28.33	0.900	bicubic
771	vit_relpos_small_patch16_224.sw_in1k	224	95.190	4.810	98.950	1.050	21.98	0.900	bicubic
772	convit_small.fb_in1k	224	95.190	4.810	98.930	1.070	27.78	0.875	bicubic
773	pit_s_distilled_224.in1k	224	95.180	4.820	98.880	1.120	24.04	0.900	bicubic
774	tf_efficientnetv2_b3.in1k	300	95.180	4.820	98.830	1.170	14.36	0.904	bicubic
775	regnetz_b16.ra3_in1k	288	95.170	4.830	99.080	0.920	9.72	1.000	bicubic
776	mobilevitv2_200.cvnets_in22k_ft_in1k	256	95.170	4.830	98.920	1.080	18.45	0.888	bicubic
777	swin_tiny_patch4_window7_224.ms_in1k	224	95.170	4.830	98.860	1.140	28.29	0.900	bicubic
778	xcit_tiny_12_p16_384.fb_dist_in1k	384	95.160	4.840	99.000	1.000	6.72	1.000	bicubic
779	cs3darknet_focus_l.c2ns_in1k	288	95.160	4.840	98.960	1.040	21.15	0.950	bicubic
780	lamhalobotnet50ts_256.a1h_in1k	256	95.160	4.840	98.850	1.150	22.57	0.950	bicubic
781	tf_efficientnet_b1.ns_jft_in1k	240	95.150	4.850	99.090	0.910	7.79	0.882	bicubic
782	mobilevitv2_150.cvnets_in22k_ft_in1k	256	95.150	4.850	98.830	1.170	10.59	0.888	bicubic
783	cs3darknet_l.c2ns_in1k	288	95.140	4.860	98.990	1.010	21.16	0.950	bicubic
784	halonet50ts.a1h_in1k	256	95.140	4.860	98.780	1.220	22.73	0.940	bicubic
785	resnet152.a1_in1k	224	95.140	4.860	98.410	1.590	60.19	0.950	bicubic
786	crossvit_15_240.in1k	240	95.130	4.870	98.940	1.060	27.53	0.875	bicubic
787	fastvit_sa12.apple_dist_in1k	256	95.130	4.870	98.810	1.190	11.58	0.900	bicubic
788	efficientnet_el.ra_in1k	300	95.120	4.880	98.990	1.010	10.59	0.904	bicubic
789	vit_base_patch32_clip_224.openai_ft_in1k	224	95.120	4.880	98.990	1.010	88.22	0.900	bicubic
790	hgnet_small.paddle_in1k	224	95.110	4.890	99.030	0.970	24.36	0.965	bicubic
791	ecaresnet50d_pruned.miil_in1k	288	95.110	4.890	98.930	1.070	19.94	0.950	bicubic
792	gernet_l.idstcv_in1k	256	95.110	4.890	98.910	1.090	31.08	0.875	bilinear
793	poolformer_s36.sail_in1k	224	95.110	4.890	98.900	1.100	30.86	0.900	bicubic
794	regnetx_080.tv2_in1k	224	95.110	4.890	98.810	1.190	39.57	0.965	bicubic
795	convnext_nano_ols.d1h_in1k	288	95.110	4.890	98.710	1.290	15.65	1.000	bicubic
796	legacy_senet154.in1k	224	95.100	4.900	98.830	1.170	115.09	0.875	bilinear
797	mobilenetv4_conv_large.e500_r256_in1k	256	95.090	4.910	98.950	1.050	32.59	0.950	bicubic
798	xcit_tiny_12_p8_224.fb_dist_in1k	224	95.090	4.910	98.930	1.070	6.71	1.000	bicubic
799	convmixer_1536_20.in1k	224	95.080	4.920	99.030	0.970	51.63	0.960	bicubic
800	wide_resnet50_2.racm_in1k	224	95.080	4.920	98.970	1.030	68.88	0.875	bicubic
801	ecaresnet101d_pruned.miil_in1k	224	95.070	4.930	98.990	1.010	24.88	0.875	bicubic
802	vit_small_patch32_384.augreg_in21k_ft_in1k	384	95.070	4.930	98.980	1.020	22.92	1.000	bicubic
803	vit_srelpos_small_patch16_224.sw_in1k	224	95.070	4.930	98.950	1.050	21.97	0.900	bicubic
804	resnet152s.gluon_in1k	224	95.060	4.940	98.930	1.070	60.32	0.875	bicubic
805	tnt_s_patch16_224	224	95.060	4.940	98.840	1.160	23.76	0.900	bicubic
806	tiny_vit_5m_224.dist_in22k_ft_in1k	224	95.050	4.950	98.980	1.020	5.39	0.950	bicubic
807	seresnet33ts.ra2_in1k	288	95.040	4.960	98.900	1.100	19.78	1.000	bicubic
808	gc_efficientnetv2_rw_t.agc_in1k	224	95.040	4.960	98.840	1.160	13.68	1.000	bicubic
809	resnetv2_50x1_bit.goog_in21k_ft_in1k	448	95.030	4.970	99.060	0.940	25.55	1.000	bilinear
810	seresnext50_32x4d.racm_in1k	224	95.030	4.970	98.890	1.110	27.56	0.875	bicubic
811	levit_256.fb_dist_in1k	224	95.030	4.970	98.870	1.130	18.89	0.900	bicubic
812	levit_conv_256.fb_dist_in1k	224	95.030	4.970	98.870	1.130	18.89	0.900	bicubic
813	fbnetv3_g.ra2_in1k	240	95.030	4.970	98.800	1.200	16.62	0.950	bilinear
814	vit_base_patch32_224.augreg_in21k_ft_in1k	224	95.010	4.990	99.020	0.980	88.22	0.900	bicubic
815	resnet50d.ra2_in1k	288	95.010	4.990	98.970	1.030	25.58	0.950	bicubic
816	tf_efficientnet_b3.aa_in1k	300	95.010	4.990	98.910	1.090	12.23	0.904	bicubic
817	mobilenetv4_conv_medium.e500_r256_in1k	320	95.000	5.000	98.900	1.100	9.72	1.000	bicubic
818	coat_mini.in1k	224	95.000	5.000	98.780	1.220	10.34	0.900	bicubic
819	deit3_small_patch16_224.fb_in1k	224	95.000	5.000	98.460	1.540	22.06	0.900	bicubic
820	tresnet_m.miil_in1k_448	448	94.980	5.020	98.980	1.020	31.39	0.875	bilinear
821	efficientnetv2_rw_t.ra2_in1k	224	94.980	5.020	98.750	1.250	13.65	1.000	bicubic
822	rexnet_200.nav_in1k	224	94.970	5.030	98.990	1.010	16.37	0.875	bicubic
823	resnetv2_50d_evos.ah_in1k	224	94.970	5.030	98.750	1.250	25.59	0.950	bicubic
824	resnest50d_4s2x40d.in1k	224	94.960	5.040	99.070	0.930	30.42	0.875	bicubic
825	hgnet_tiny.paddle_in1k	288	94.960	5.040	99.060	0.940	14.74	1.000	bicubic
826	vit_base_patch16_384.augreg_in1k	384	94.960	5.040	98.910	1.090	86.86	1.000	bicubic
827	eva02_tiny_patch14_336.mim_in22k_ft_in1k	336	94.960	5.040	98.870	1.130	5.76	1.000	bicubic
828	mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k	256	94.960	5.040	98.820	1.180	8.46	0.950	bicubic
829	resnet50.d_in1k	288	94.960	5.040	98.820	1.180	25.56	1.000	bicubic
830	mobilenet_edgetpu_v2_m	256	94.960	5.040	98.810	1.190	8.46	0.950	bicubic
831	edgenext_small.usi_in1k	256	94.950	5.050	98.960	1.040	5.59	0.950	bicubic
832	resnet152.a2_in1k	224	94.950	5.050	98.570	1.430	60.19	0.950	bicubic
833	seresnext101_64x4d.gluon_in1k	224	94.940	5.060	98.800	1.200	88.23	0.875	bicubic
834	senet154.gluon_in1k	224	94.930	5.070	98.770	1.230	115.09	0.875	bicubic
835	convnext_nano.d1h_in1k	224	94.930	5.070	98.670	1.330	15.59	0.950	bicubic
836	gcresnet33ts.ra2_in1k	288	94.920	5.080	98.880	1.120	19.88	1.000	bicubic
837	seresnext101_32x4d.gluon_in1k	224	94.920	5.080	98.780	1.220	48.96	0.875	bicubic
838	tf_efficientnet_lite4.in1k	380	94.890	5.110	99.020	0.980	13.01	0.920	bilinear
839	repvit_m1_1.dist_450e_in1k	224	94.890	5.110	98.920	1.080	8.80	0.950	bicubic
840	ese_vovnet39b.ra_in1k	288	94.890	5.110	98.910	1.090	24.57	0.950	bicubic
841	fastvit_sa12.apple_in1k	256	94.890	5.110	98.860	1.140	11.58	0.900	bicubic
842	resnet50.c2_in1k	288	94.890	5.110	98.810	1.190	25.56	1.000	bicubic
843	resmlp_36_224.fb_distilled_in1k	224	94.880	5.120	98.870	1.130	44.69	0.875	bicubic
844	wide_resnet50_2.tv2_in1k	224	94.870	5.130	98.960	1.040	68.88	0.965	bilinear
845	cs3sedarknet_l.c2ns_in1k	256	94.870	5.130	98.900	1.100	21.91	0.887	bicubic
846	mobilevitv2_175.cvnets_in1k	256	94.870	5.130	98.870	1.130	14.25	0.888	bicubic
847	mobilenetv4_conv_blur_medium.e500_r224_in1k	256	94.870	5.130	98.810	1.190	9.72	1.000	bicubic
848	fastvit_s12.apple_dist_in1k	256	94.870	5.130	98.770	1.230	9.47	0.900	bicubic
849	convnext_tiny.fb_in22k_ft_in1k	288	94.870	5.130	98.550	1.450	28.59	1.000	bicubic
850	gcresnext50ts.ch_in1k	288	94.860	5.140	98.850	1.150	15.67	1.000	bicubic
851	seresnet33ts.ra2_in1k	256	94.860	5.140	98.810	1.190	19.78	0.900	bicubic
852	resnet50.b1k_in1k	288	94.860	5.140	98.800	1.200	25.56	1.000	bicubic
853	gcresnet50t.ra2_in1k	256	94.860	5.140	98.790	1.210	25.90	0.900	bicubic
854	mobilevitv2_200.cvnets_in1k	256	94.860	5.140	98.720	1.280	18.45	0.888	bicubic
855	mobilenetv4_hybrid_medium.e500_r224_in1k	224	94.860	5.140	98.680	1.320	11.07	0.950	bicubic
856	crossvit_small_240.in1k	240	94.850	5.150	99.020	0.980	26.86	0.875	bicubic
857	resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k	224	94.850	5.150	98.880	1.120	25.03	0.875	bilinear
858	res2net101d.in1k	224	94.840	5.160	98.780	1.220	45.23	0.875	bilinear
859	efficientnet_b1.ra4_e3600_r240_in1k	240	94.840	5.160	98.710	1.290	7.79	0.900	bicubic
860	resnext50_32x4d.a1_in1k	288	94.840	5.160	98.620	1.380	25.03	1.000	bicubic
861	lambda_resnet50ts.a1h_in1k	256	94.840	5.160	98.470	1.530	21.54	0.950	bicubic
862	ecaresnet50t.ra2_in1k	256	94.830	5.170	98.910	1.090	25.57	0.875	bicubic
863	resnest50d.in1k	224	94.830	5.170	98.870	1.130	27.48	0.875	bilinear
864	resnetv2_50.a1h_in1k	288	94.830	5.170	98.870	1.130	25.55	1.000	bicubic
865	cspresnext50.ra_in1k	256	94.830	5.170	98.730	1.270	20.57	0.887	bilinear
866	resnet152d.gluon_in1k	224	94.820	5.180	98.760	1.240	60.21	0.875	bicubic
867	resnet50.a1_in1k	288	94.800	5.200	98.750	1.250	25.56	1.000	bicubic
868	vit_wee_patch16_reg1_gap_256.sbb_in1k	256	94.790	5.210	98.940	1.060	13.42	0.950	bicubic
869	resnet50.c1_in1k	288	94.790	5.210	98.920	1.080	25.56	1.000	bicubic
870	sehalonet33ts.ra2_in1k	256	94.790	5.210	98.570	1.430	13.69	0.940	bicubic
871	resnet50.a1h_in1k	224	94.770	5.230	98.680	1.320	25.56	1.000	bicubic
872	resnest50d_1s4x24d.in1k	224	94.760	5.240	98.980	1.020	25.68	0.875	bicubic
873	repvit_m1_1.dist_300e_in1k	224	94.760	5.240	98.930	1.070	8.80	0.950	bicubic
874	mobilenetv4_conv_medium.e500_r224_in1k	256	94.760	5.240	98.860	1.140	9.72	1.000	bicubic
875	ecaresnetlight.miil_in1k	224	94.760	5.240	98.800	1.200	30.16	0.875	bicubic
876	convnext_pico.d1_in1k	288	94.750	5.250	98.700	1.300	9.05	0.950	bicubic
877	resnetv2_50d_gn.ah_in1k	224	94.750	5.250	98.680	1.320	25.57	0.950	bicubic
878	repvit_m2.dist_in1k	224	94.750	5.250	98.670	1.330	8.80	0.950	bicubic
879	resnet50d.a1_in1k	288	94.750	5.250	98.470	1.530	25.58	1.000	bicubic
880	resnet101s.gluon_in1k	224	94.740	5.260	98.820	1.180	44.67	0.875	bicubic
881	haloregnetz_b.ra3_in1k	224	94.740	5.260	98.680	1.320	11.68	0.940	bicubic
882	convnext_nano_ols.d1h_in1k	224	94.740	5.260	98.620	1.380	15.65	0.950	bicubic
883	resnet152.a3_in1k	224	94.720	5.280	98.690	1.310	60.19	0.950	bicubic
884	deit_small_distilled_patch16_224.fb_in1k	224	94.710	5.290	99.020	0.980	22.44	0.900	bicubic
885	resnet50.b2k_in1k	288	94.710	5.290	98.820	1.180	25.56	1.000	bicubic
886	resnext50_32x4d.ra_in1k	288	94.700	5.300	98.760	1.240	25.03	0.950	bicubic
887	resnetrs101.tf_in1k	192	94.700	5.300	98.710	1.290	63.62	0.940	bicubic
888	resnet101.a2_in1k	224	94.700	5.300	98.640	1.360	44.55	0.950	bicubic
889	maxvit_rmlp_pico_rw_256.sw_in1k	256	94.690	5.310	98.800	1.200	7.52	0.950	bicubic
890	xcit_tiny_12_p8_224.fb_in1k	224	94.680	5.320	98.840	1.160	6.71	1.000	bicubic
891	edgenext_small_rw.sw_in1k	320	94.680	5.320	98.820	1.180	7.83	1.000	bicubic
892	seresnet50.a2_in1k	288	94.680	5.320	98.780	1.220	28.09	1.000	bicubic
893	ecaresnet50t.a1_in1k	224	94.680	5.320	98.580	1.420	25.57	0.950	bicubic
894	cspdarknet53.ra_in1k	256	94.670	5.330	98.800	1.200	27.64	0.887	bilinear
895	seresnet50.a1_in1k	288	94.670	5.330	98.720	1.280	28.09	1.000	bicubic
896	resnext101_64x4d.gluon_in1k	224	94.670	5.330	98.650	1.350	83.46	0.875	bicubic
897	regnetx_032.tv2_in1k	224	94.660	5.340	98.840	1.160	15.30	0.965	bicubic
898	cs3darknet_focus_l.c2ns_in1k	256	94.660	5.340	98.810	1.190	21.15	0.887	bicubic
899	resnet50.tv2_in1k	224	94.660	5.340	98.780	1.220	25.56	0.965	bilinear
900	pit_s_224.in1k	224	94.660	5.340	98.720	1.280	23.46	0.900	bicubic
901	eca_resnet33ts.ra2_in1k	288	94.650	5.350	98.890	1.110	19.68	1.000	bicubic
902	gernet_m.idstcv_in1k	224	94.650	5.350	98.860	1.140	21.14	0.875	bilinear
903	poolformerv2_s24.sail_in1k	224	94.650	5.350	98.830	1.170	21.34	1.000	bicubic
904	resnet50.a2_in1k	288	94.650	5.350	98.660	1.340	25.56	1.000	bicubic
905	resmlp_big_24_224.fb_in1k	224	94.650	5.350	98.510	1.490	129.14	0.875	bicubic
906	sebotnet33ts_256.a1h_in1k	256	94.650	5.350	98.490	1.510	13.70	0.940	bicubic
907	vit_pwee_patch16_reg1_gap_256.sbb_in1k	256	94.640	5.360	98.780	1.220	15.25	0.950	bicubic
908	convnext_pico_ols.d1_in1k	288	94.640	5.360	98.770	1.230	9.06	1.000	bicubic
909	tf_efficientnet_b3.in1k	300	94.640	5.360	98.770	1.230	12.23	0.904	bicubic
910	ecaresnet50d.miil_in1k	224	94.630	5.370	98.880	1.120	25.58	0.875	bicubic
911	resnet50d.ra4_e3600_r224_in1k	224	94.630	5.370	98.700	1.300	25.58	0.950	bicubic
912	resnetaa50.a1h_in1k	224	94.630	5.370	98.580	1.420	25.56	0.950	bicubic
913	darknet53.c2ns_in1k	288	94.620	5.380	98.900	1.100	41.61	1.000	bicubic
914	nf_resnet50.ra2_in1k	288	94.620	5.380	98.810	1.190	25.56	0.940	bicubic
915	fastvit_t12.apple_dist_in1k	256	94.620	5.380	98.800	1.200	7.55	0.900	bicubic
916	resnext50_32x4d.tv2_in1k	224	94.620	5.380	98.780	1.220	25.03	0.965	bilinear
917	efficientnet_b3_pruned.in1k	300	94.620	5.380	98.750	1.250	9.86	0.904	bicubic
918	efficientnet_b2.ra_in1k	288	94.620	5.380	98.710	1.290	9.11	1.000	bicubic
919	tresnet_m.miil_in1k	224	94.620	5.380	98.560	1.440	31.39	0.875	bilinear
920	regnety_320.pycls_in1k	224	94.590	5.410	98.850	1.150	145.05	0.875	bicubic
921	resnet50d.a2_in1k	288	94.590	5.410	98.670	1.330	25.58	1.000	bicubic
922	poolformer_s24.sail_in1k	224	94.580	5.420	98.900	1.100	21.39	0.900	bicubic
923	hgnetv2_b1.ssld_stage1_in22k_in1k	288	94.580	5.420	98.880	1.120	6.34	1.000	bicubic
924	regnety_016.tv2_in1k	224	94.580	5.420	98.840	1.160	11.20	0.965	bicubic
925	tf_efficientnetv2_b3.in1k	240	94.580	5.420	98.660	1.340	14.36	0.904	bicubic
926	hgnetv2_b1.ssld_stage2_ft_in1k	288	94.570	5.430	98.960	1.040	6.34	1.000	bicubic
927	inception_resnet_v2.tf_in1k	299	94.570	5.430	98.800	1.200	55.84	0.897	bicubic
928	seresnet50.ra2_in1k	224	94.570	5.430	98.760	1.240	28.09	0.875	bicubic
929	regnetz_b16.ra3_in1k	224	94.560	5.440	98.880	1.120	9.72	0.940	bicubic
930	resnext50_32x4d.a2_in1k	288	94.560	5.440	98.640	1.360	25.03	1.000	bicubic
931	cs3darknet_l.c2ns_in1k	256	94.550	5.450	98.910	1.090	21.16	0.887	bicubic
932	repvgg_b3.rvgg_in1k	224	94.550	5.450	98.780	1.220	123.09	0.875	bilinear
933	repvit_m1_0.dist_450e_in1k	224	94.540	5.460	98.880	1.120	7.30	0.950	bicubic
934	resnext50d_32x4d.bt_in1k	288	94.540	5.460	98.690	1.310	25.05	0.950	bicubic
935	resnext50_32x4d.a1h_in1k	224	94.540	5.460	98.600	1.400	25.03	0.950	bicubic
936	xcit_tiny_24_p16_224.fb_dist_in1k	224	94.530	5.470	98.800	1.200	12.12	1.000	bicubic
937	mobilevitv2_150.cvnets_in1k	256	94.530	5.470	98.720	1.280	10.59	0.888	bicubic
938	gcresnext50ts.ch_in1k	256	94.530	5.470	98.700	1.300	15.67	0.900	bicubic
939	resnext101_32x4d.gluon_in1k	224	94.530	5.470	98.630	1.370	44.18	0.875	bicubic
940	resnet101.a1_in1k	224	94.530	5.470	98.520	1.480	44.55	0.950	bicubic
941	repvgg_b3g4.rvgg_in1k	224	94.520	5.480	98.960	1.040	83.83	0.875	bilinear
942	regnety_120.pycls_in1k	224	94.520	5.480	98.820	1.180	51.82	0.875	bicubic
943	darknetaa53.c2ns_in1k	288	94.520	5.480	98.760	1.240	36.02	1.000	bilinear
944	resnet50.ram_in1k	288	94.520	5.480	98.670	1.330	25.56	0.950	bicubic
945	convmixer_768_32.in1k	224	94.500	5.500	98.850	1.150	21.11	0.960	bicubic
946	efficientformer_l1.snap_dist_in1k	224	94.500	5.500	98.820	1.180	12.29	0.950	bicubic
947	gcresnet33ts.ra2_in1k	256	94.500	5.500	98.780	1.220	19.88	0.900	bicubic
948	ecaresnet50t.a2_in1k	224	94.500	5.500	98.640	1.360	25.57	0.950	bicubic
949	tf_efficientnet_b2.ap_in1k	260	94.500	5.500	98.640	1.360	9.11	0.890	bicubic
950	resnet50.fb_ssl_yfcc100m_ft_in1k	224	94.490	5.510	98.920	1.080	25.56	0.875	bilinear
951	rexnet_150.nav_in1k	224	94.480	5.520	98.790	1.210	9.73	0.875	bicubic
952	efficientvit_b1.r288_in1k	288	94.480	5.520	98.550	1.450	9.10	1.000	bicubic
953	resnetblur50.bt_in1k	288	94.470	5.530	98.780	1.220	25.56	0.950	bicubic
954	wide_resnet101_2.tv2_in1k	176	94.470	5.530	98.680	1.320	126.89	0.875	bilinear
955	convnextv2_pico.fcmae_ft_in1k	224	94.460	5.540	98.620	1.380	9.07	0.875	bicubic
956	resmlp_24_224.fb_distilled_in1k	224	94.450	5.550	98.770	1.230	30.02	0.875	bicubic
957	resnetv2_50.a1h_in1k	224	94.450	5.550	98.710	1.290	25.55	0.950	bicubic
958	regnetx_320.pycls_in1k	224	94.440	5.560	98.730	1.270	107.81	0.875	bicubic
959	deit_small_patch16_224.fb_in1k	224	94.430	5.570	98.700	1.300	22.05	0.900	bicubic
960	tf_efficientnetv2_b2.in1k	260	94.430	5.570	98.590	1.410	10.10	0.890	bicubic
961	resnet50.a1_in1k	224	94.410	5.590	98.430	1.570	25.56	0.950	bicubic
962	tf_efficientnet_el.in1k	300	94.400	5.600	98.710	1.290	10.59	0.904	bicubic
963	ecaresnet50t.a3_in1k	224	94.400	5.600	98.670	1.330	25.57	0.950	bicubic
964	tf_efficientnet_b2.aa_in1k	260	94.400	5.600	98.600	1.400	9.11	0.890	bicubic
965	gcvit_xxtiny.in1k	224	94.380	5.620	98.890	1.110	12.00	0.875	bicubic
966	regnety_160.pycls_in1k	224	94.380	5.620	98.830	1.170	83.59	0.875	bicubic
967	efficientnet_el_pruned.in1k	300	94.380	5.620	98.750	1.250	10.59	0.904	bicubic
968	inception_v4.tf_in1k	299	94.380	5.620	98.560	1.440	42.68	0.875	bicubic
969	legacy_seresnext101_32x4d.in1k	224	94.370	5.630	98.640	1.360	48.96	0.875	bilinear
970	dpn107.mx_in1k	224	94.370	5.630	98.480	1.520	86.92	0.875	bicubic
971	seresnext50_32x4d.gluon_in1k	224	94.360	5.640	98.620	1.380	27.56	0.875	bicubic
972	repvit_m1_0.dist_300e_in1k	224	94.330	5.670	98.850	1.150	7.30	0.950	bicubic
973	resnet50_gn.a1h_in1k	224	94.330	5.670	98.700	1.300	25.56	0.940	bicubic
974	xception71.tf_in1k	299	94.330	5.670	98.640	1.360	42.34	0.903	bicubic
975	mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k	224	94.320	5.680	98.580	1.420	8.46	0.900	bicubic
976	darknet53.c2ns_in1k	256	94.310	5.690	98.860	1.140	41.61	0.887	bicubic
977	resnet50.bt_in1k	288	94.310	5.690	98.640	1.360	25.56	0.950	bicubic
978	mobilenetv4_conv_medium.e500_r256_in1k	256	94.300	5.700	98.780	1.220	9.72	0.950	bicubic
979	resnet50d.ra2_in1k	224	94.300	5.700	98.740	1.260	25.58	0.875	bicubic
980	ecaresnet26t.ra2_in1k	320	94.300	5.700	98.720	1.280	16.01	0.950	bicubic
981	mobilenet_edgetpu_v2_m	224	94.300	5.700	98.590	1.410	8.46	0.900	bicubic
982	res2net50d.in1k	224	94.300	5.700	98.530	1.470	25.72	0.875	bilinear
983	resnet50d.a1_in1k	224	94.300	5.700	98.360	1.640	25.58	0.950	bicubic
984	hgnet_tiny.paddle_in1k	224	94.290	5.710	98.800	1.200	14.74	0.965	bicubic
985	mobilenetv4_conv_blur_medium.e500_r224_in1k	224	94.290	5.710	98.750	1.250	9.72	0.950	bicubic
986	resnetrs50.tf_in1k	224	94.290	5.710	98.640	1.360	35.69	0.910	bicubic
987	dpn92.mx_in1k	224	94.280	5.720	98.750	1.250	37.67	0.875	bicubic
988	tiny_vit_5m_224.in1k	224	94.280	5.720	98.660	1.340	5.39	0.950	bicubic
989	resnet50.c2_in1k	224	94.280	5.720	98.540	1.460	25.56	0.950	bicubic
990	ecaresnet50d_pruned.miil_in1k	224	94.260	5.740	98.700	1.300	19.94	0.875	bicubic
991	skresnext50_32x4d.ra_in1k	224	94.260	5.740	98.470	1.530	27.48	0.875	bicubic
992	resnet101d.gluon_in1k	224	94.250	5.750	98.550	1.450	44.57	0.875	bicubic
993	cait_xxs36_224.fb_dist_in1k	224	94.240	5.760	98.710	1.290	17.30	1.000	bicubic
994	regnetx_120.pycls_in1k	224	94.240	5.760	98.650	1.350	46.11	0.875	bicubic
995	resnet50.ra_in1k	288	94.220	5.780	98.640	1.360	25.56	0.950	bicubic
996	resnext50d_32x4d.bt_in1k	224	94.220	5.780	98.600	1.400	25.05	0.875	bicubic
997	inception_resnet_v2.tf_ens_adv_in1k	299	94.220	5.780	98.590	1.410	55.84	0.897	bicubic
998	fastvit_s12.apple_in1k	256	94.220	5.780	98.570	1.430	9.47	0.900	bicubic
999	mobilenetv4_conv_medium.e500_r224_in1k	224	94.210	5.790	98.700	1.300	9.72	0.950	bicubic
1000	eca_resnet33ts.ra2_in1k	256	94.200	5.800	98.770	1.230	19.68	0.900	bicubic
1001	wide_resnet50_2.tv2_in1k	176	94.200	5.800	98.680	1.320	68.88	0.875	bilinear
1002	resmlp_36_224.fb_in1k	224	94.200	5.800	98.660	1.340	44.69	0.875	bicubic
1003	convnextv2_femto.fcmae_ft_in1k	288	94.200	5.800	98.640	1.360	5.23	0.950	bicubic
1004	tf_efficientnet_lite3.in1k	300	94.200	5.800	98.640	1.360	8.20	0.904	bilinear
1005	mixnet_xl.ra_in1k	224	94.200	5.800	98.340	1.660	11.90	0.875	bicubic
1006	regnety_080.pycls_in1k	224	94.180	5.820	98.680	1.320	39.18	0.875	bicubic
1007	levit_192.fb_dist_in1k	224	94.180	5.820	98.540	1.460	10.95	0.900	bicubic
1008	levit_conv_192.fb_dist_in1k	224	94.180	5.820	98.540	1.460	10.95	0.900	bicubic
1009	regnetx_016.tv2_in1k	224	94.170	5.830	98.740	1.260	9.19	0.965	bicubic
1010	regnetx_160.pycls_in1k	224	94.160	5.840	98.740	1.260	54.28	0.875	bicubic
1011	regnety_064.pycls_in1k	224	94.160	5.840	98.720	1.280	30.58	0.875	bicubic
1012	resnet152c.gluon_in1k	224	94.160	5.840	98.630	1.370	60.21	0.875	bicubic
1013	resnet33ts.ra2_in1k	288	94.160	5.840	98.610	1.390	19.68	1.000	bicubic
1014	dpn98.mx_in1k	224	94.160	5.840	98.590	1.410	61.57	0.875	bicubic
1015	gmlp_s16_224.ra3_in1k	224	94.160	5.840	98.500	1.500	19.42	0.875	bicubic
1016	resnet152.gluon_in1k	224	94.160	5.840	98.460	1.540	60.19	0.875	bicubic
1017	nf_resnet50.ra2_in1k	256	94.150	5.850	98.740	1.260	25.56	0.940	bicubic
1018	vit_base_patch16_224.sam_in1k	224	94.150	5.850	98.690	1.310	86.57	0.900	bicubic
1019	nf_regnet_b1.ra2_in1k	288	94.150	5.850	98.630	1.370	10.22	0.900	bicubic
1020	efficientnet_b2_pruned.in1k	260	94.140	5.860	98.510	1.490	8.31	0.890	bicubic
1021	tf_efficientnet_b2.in1k	260	94.130	5.870	98.450	1.550	9.11	0.890	bicubic
1022	resnext50_32x4d.ra_in1k	224	94.110	5.890	98.330	1.670	25.03	0.875	bicubic
1023	efficientformerv2_s1.snap_dist_in1k	224	94.100	5.900	98.680	1.320	6.19	0.950	bicubic
1024	ese_vovnet39b.ra_in1k	224	94.100	5.900	98.670	1.330	24.57	0.875	bicubic
1025	resnet50d.a2_in1k	224	94.100	5.900	98.480	1.520	25.58	0.950	bicubic
1026	resnet152.tv2_in1k	176	94.090	5.910	98.540	1.460	60.19	0.875	bilinear
1027	resnet50.b2k_in1k	224	94.090	5.910	98.450	1.550	25.56	0.950	bicubic
1028	xcit_tiny_24_p16_224.fb_in1k	224	94.080	5.920	98.510	1.490	12.12	1.000	bicubic
1029	resnext50_32x4d.a1_in1k	224	94.070	5.930	98.200	1.800	25.03	0.950	bicubic
1030	convnext_pico.d1_in1k	224	94.060	5.940	98.490	1.510	9.05	0.875	bicubic
1031	resnet50.d_in1k	224	94.060	5.940	98.430	1.570	25.56	0.950	bicubic
1032	resnet101.a3_in1k	224	94.050	5.950	98.650	1.350	44.55	0.950	bicubic
1033	coat_lite_mini.in1k	224	94.050	5.950	98.530	1.470	11.01	0.900	bicubic
1034	eca_halonext26ts.c1_in1k	256	94.050	5.950	98.500	1.500	10.76	0.940	bicubic
1035	halonet26t.a1h_in1k	256	94.050	5.950	98.470	1.530	12.48	0.950	bicubic
1036	resnext50_32x4d.a2_in1k	224	94.050	5.950	98.240	1.760	25.03	0.950	bicubic
1037	convnext_pico_ols.d1_in1k	224	94.040	5.960	98.540	1.460	9.06	0.950	bicubic
1038	efficientvit_b1.r256_in1k	256	94.040	5.960	98.370	1.630	9.10	1.000	bicubic
1039	dpn131.mx_in1k	224	94.030	5.970	98.710	1.290	79.25	0.875	bicubic
1040	resnet50.c1_in1k	224	94.030	5.970	98.620	1.380	25.56	0.950	bicubic
1041	resnet50.b1k_in1k	224	94.030	5.970	98.520	1.480	25.56	0.950	bicubic
1042	seresnet50.a1_in1k	224	94.030	5.970	98.420	1.580	28.09	0.950	bicubic
1043	hrnet_w64.ms_in1k	224	94.020	5.980	98.610	1.390	128.06	0.875	bilinear
1044	resmlp_24_224.fb_in1k	224	94.020	5.980	98.330	1.670	30.02	0.875	bicubic
1045	dla102x2.in1k	224	94.010	5.990	98.480	1.520	41.28	0.875	bilinear
1046	efficientnet_b2.ra_in1k	256	94.010	5.990	98.460	1.540	9.11	0.875	bicubic
1047	fbnetv3_b.ra2_in1k	256	94.000	6.000	98.630	1.370	8.60	0.950	bilinear
1048	fastvit_t12.apple_in1k	256	93.990	6.010	98.580	1.420	7.55	0.900	bicubic
1049	mobilevitv2_125.cvnets_in1k	256	93.990	6.010	98.560	1.440	7.48	0.888	bicubic
1050	resnet50.am_in1k	224	93.990	6.010	98.520	1.480	25.56	0.875	bicubic
1051	resnetblur50.bt_in1k	224	93.980	6.020	98.540	1.460	25.56	0.875	bicubic
1052	dpn68b.ra_in1k	288	93.980	6.020	98.350	1.650	12.61	1.000	bicubic
1053	tf_efficientnetv2_b1.in1k	240	93.960	6.040	98.630	1.370	8.14	0.882	bicubic
1054	seresnet50.a2_in1k	224	93.960	6.040	98.390	1.610	28.09	0.950	bicubic
1055	hrnet_w48.ms_in1k	224	93.940	6.060	98.600	1.400	77.47	0.875	bilinear
1056	edgenext_small_rw.sw_in1k	256	93.930	6.070	98.550	1.450	7.83	0.900	bicubic
1057	convnext_femto.d1_in1k	288	93.920	6.080	98.530	1.470	5.22	0.950	bicubic
1058	rexnet_130.nav_in1k	224	93.920	6.080	98.400	1.600	7.56	0.875	bicubic
1059	tf_efficientnet_cc_b1_8e.in1k	240	93.920	6.080	98.270	1.730	39.72	0.882	bicubic
1060	fbnetv3_d.ra2_in1k	256	93.910	6.090	98.740	1.260	10.31	0.950	bilinear
1061	convnext_femto_ols.d1_in1k	288	93.900	6.100	98.630	1.370	5.23	0.950	bicubic
1062	darknetaa53.c2ns_in1k	256	93.900	6.100	98.630	1.370	36.02	0.887	bilinear
1063	regnetx_064.pycls_in1k	224	93.900	6.100	98.630	1.370	26.21	0.875	bicubic
1064	vit_small_patch16_224.augreg_in1k	224	93.900	6.100	98.460	1.540	22.05	0.900	bicubic
1065	hgnetv2_b1.ssld_stage2_ft_in1k	224	93.880	6.120	98.710	1.290	6.34	0.965	bicubic
1066	regnety_040.pycls_in1k	224	93.880	6.120	98.650	1.350	20.65	0.875	bicubic
1067	repvgg_b2g4.rvgg_in1k	224	93.870	6.130	98.610	1.390	61.76	0.875	bilinear
1068	lambda_resnet26t.c1_in1k	256	93.870	6.130	98.600	1.400	10.96	0.940	bicubic
1069	efficientnet_b0.ra4_e3600_r224_in1k	256	93.870	6.130	98.390	1.610	5.29	1.000	bicubic
1070	regnetx_080.pycls_in1k	224	93.850	6.150	98.520	1.480	39.57	0.875	bicubic
1071	resnet50.a2_in1k	224	93.850	6.150	98.340	1.660	25.56	0.950	bicubic
1072	efficientnet_em.ra2_in1k	240	93.840	6.160	98.810	1.190	6.90	0.882	bicubic
1073	ecaresnet26t.ra2_in1k	256	93.840	6.160	98.650	1.350	16.01	0.875	bicubic
1074	resnet32ts.ra2_in1k	288	93.830	6.170	98.660	1.340	17.96	1.000	bicubic
1075	resnext50_32x4d.gluon_in1k	224	93.830	6.170	98.410	1.590	25.03	0.875	bicubic
1076	hgnetv2_b0.ssld_stage2_ft_in1k	288	93.820	6.180	98.760	1.240	6.00	1.000	bicubic
1077	pvt_v2_b1.in1k	224	93.820	6.180	98.660	1.340	14.01	0.900	bicubic
1078	tf_efficientnetv2_b2.in1k	208	93.820	6.180	98.360	1.640	10.10	0.890	bicubic
1079	resnext101_32x8d.tv_in1k	224	93.810	6.190	98.580	1.420	88.79	0.875	bilinear
1080	eca_botnext26ts_256.c1_in1k	256	93.810	6.190	98.500	1.500	10.59	0.950	bicubic
1081	resnet50.ram_in1k	224	93.810	6.190	98.400	1.600	25.56	0.875	bicubic
1082	cspresnet50.ra_in1k	256	93.800	6.200	98.620	1.380	21.62	0.887	bilinear
1083	resnet50.tv2_in1k	176	93.790	6.210	98.500	1.500	25.56	0.875	bilinear
1084	resnet101.tv2_in1k	176	93.790	6.210	98.450	1.550	44.55	0.875	bilinear
1085	resnet50d.gluon_in1k	224	93.790	6.210	98.390	1.610	25.58	0.875	bicubic
1086	pit_xs_distilled_224.in1k	224	93.770	6.230	98.620	1.380	11.00	0.900	bicubic
1087	xception65.tf_in1k	299	93.770	6.230	98.420	1.580	39.92	0.903	bicubic
1088	mobileone_s4.apple_in1k	224	93.770	6.230	98.250	1.750	14.95	0.900	bilinear
1089	wide_resnet101_2.tv_in1k	224	93.760	6.240	98.520	1.480	126.89	0.875	bilinear
1090	res2net101_26w_4s.in1k	224	93.750	6.250	98.360	1.640	45.21	0.875	bilinear
1091	vit_relpos_base_patch32_plus_rpn_256.sw_in1k	256	93.750	6.250	98.100	1.900	119.42	0.900	bicubic
1092	legacy_seresnext50_32x4d.in1k	224	93.730	6.270	98.590	1.410	27.56	0.875	bilinear
1093	lambda_resnet26rpt_256.c1_in1k	256	93.730	6.270	98.490	1.510	10.99	0.940	bicubic
1094	resnet101.gluon_in1k	224	93.730	6.270	98.400	1.600	44.55	0.875	bicubic
1095	tf_efficientnet_b1.ap_in1k	240	93.720	6.280	98.360	1.640	7.79	0.882	bicubic
1096	tf_efficientnet_b0.ns_jft_in1k	224	93.690	6.310	98.630	1.370	5.29	0.875	bicubic
1097	regnety_008_tv.tv2_in1k	224	93.690	6.310	98.490	1.510	6.43	0.965	bicubic
1098	resnet101c.gluon_in1k	224	93.680	6.320	98.440	1.560	44.57	0.875	bicubic
1099	resnet50s.gluon_in1k	224	93.670	6.330	98.460	1.540	25.68	0.875	bicubic
1100	resnet34d.ra2_in1k	288	93.650	6.350	98.570	1.430	21.82	0.950	bicubic
1101	resnext50_32x4d.a3_in1k	224	93.650	6.350	98.510	1.490	25.03	0.950	bicubic
1102	hgnetv2_b1.ssld_stage1_in22k_in1k	224	93.640	6.360	98.670	1.330	6.34	0.965	bicubic
1103	vit_base_patch32_384.augreg_in1k	384	93.640	6.360	98.390	1.610	88.30	1.000	bicubic
1104	vit_tiny_patch16_384.augreg_in21k_ft_in1k	384	93.630	6.370	98.600	1.400	5.79	1.000	bicubic
1105	vit_base_patch16_224.augreg_in1k	224	93.630	6.370	98.240	1.760	86.57	0.900	bicubic
1106	resnet152.a3_in1k	160	93.630	6.370	98.230	1.770	60.19	0.950	bicubic
1107	resnext50_32x4d.tv2_in1k	176	93.620	6.380	98.300	1.700	25.03	0.875	bilinear
1108	resnet33ts.ra2_in1k	256	93.610	6.390	98.520	1.480	19.68	0.900	bicubic
1109	repvit_m0_9.dist_450e_in1k	224	93.610	6.390	98.510	1.490	5.49	0.950	bicubic
1110	hgnetv2_b0.ssld_stage1_in22k_in1k	288	93.590	6.410	98.700	1.300	6.00	1.000	bicubic
1111	hrnet_w44.ms_in1k	224	93.590	6.410	98.700	1.300	67.06	0.875	bilinear
1112	visformer_tiny.in1k	224	93.590	6.410	98.510	1.490	10.32	0.900	bicubic
1113	cait_xxs24_224.fb_dist_in1k	224	93.580	6.420	98.440	1.560	11.96	1.000	bicubic
1114	coat_tiny.in1k	224	93.580	6.420	98.420	1.580	5.50	0.900	bicubic
1115	resnet50.a1h_in1k	176	93.570	6.430	98.510	1.490	25.56	0.900	bicubic
1116	seresnext26t_32x4d.bt_in1k	288	93.570	6.430	98.400	1.600	16.81	0.950	bicubic
1117	regnetx_040.pycls_in1k	224	93.550	6.450	98.570	1.430	22.12	0.875	bicubic
1118	resnet50d.a3_in1k	224	93.520	6.480	98.460	1.540	25.58	0.950	bicubic
1119	hrnet_w32.ms_in1k	224	93.520	6.480	98.430	1.570	41.23	0.875	bilinear
1120	efficientvit_b1.r224_in1k	224	93.520	6.480	98.330	1.670	9.10	0.950	bicubic
1121	botnet26t_256.c1_in1k	256	93.520	6.480	98.320	1.680	12.49	0.950	bicubic
1122	hrnet_w18.ms_aug_in1k	224	93.510	6.490	98.600	1.400	21.30	0.950	bilinear
1123	hrnet_w40.ms_in1k	224	93.510	6.490	98.560	1.440	57.56	0.875	bilinear
1124	repghostnet_200.in1k	224	93.510	6.490	98.530	1.470	9.80	0.875	bicubic
1125	resnet32ts.ra2_in1k	256	93.510	6.490	98.500	1.500	17.96	0.900	bicubic
1126	tf_efficientnet_b1.aa_in1k	240	93.510	6.490	98.360	1.640	7.79	0.882	bicubic
1127	repvgg_b2.rvgg_in1k	224	93.500	6.500	98.740	1.260	89.02	0.875	bilinear
1128	dla102x.in1k	224	93.500	6.500	98.500	1.500	26.31	0.875	bilinear
1129	inception_v3.gluon_in1k	299	93.490	6.510	98.540	1.460	23.83	0.875	bicubic
1130	legacy_xception.tf_in1k	299	93.470	6.530	98.530	1.470	22.86	0.897	bicubic
1131	xcit_nano_12_p8_384.fb_dist_in1k	384	93.470	6.530	98.510	1.490	3.05	1.000	bicubic
1132	regnety_032.pycls_in1k	224	93.440	6.560	98.630	1.370	19.44	0.875	bicubic
1133	fbnetv3_d.ra2_in1k	224	93.440	6.560	98.440	1.560	10.31	0.950	bilinear
1134	legacy_seresnet152.in1k	224	93.440	6.560	98.360	1.640	66.82	0.875	bilinear
1135	seresnext26d_32x4d.bt_in1k	288	93.440	6.560	98.350	1.650	16.81	0.950	bicubic
1136	repvit_m0_9.dist_300e_in1k	224	93.430	6.570	98.730	1.270	5.49	0.950	bicubic
1137	nf_regnet_b1.ra2_in1k	256	93.420	6.580	98.600	1.400	10.22	0.900	bicubic
1138	xception41.tf_in1k	299	93.420	6.580	98.410	1.590	26.97	0.903	bicubic
1139	res2net50_26w_6s.in1k	224	93.420	6.580	98.260	1.740	37.05	0.875	bilinear
1140	mixnet_l.ft_in1k	224	93.420	6.580	98.220	1.780	7.33	0.875	bicubic
1141	xcit_tiny_12_p16_224.fb_dist_in1k	224	93.400	6.600	98.500	1.500	6.72	1.000	bicubic
1142	dpn68b.ra_in1k	224	93.400	6.600	98.210	1.790	12.61	0.950	bicubic
1143	res2net50_26w_8s.in1k	224	93.400	6.600	98.180	1.820	48.40	0.875	bilinear
1144	resnest26d.gluon_in1k	224	93.390	6.610	98.610	1.390	17.07	0.875	bilinear
1145	convnextv2_femto.fcmae_ft_in1k	224	93.390	6.610	98.490	1.510	5.23	0.875	bicubic
1146	levit_128.fb_dist_in1k	224	93.390	6.610	98.380	1.620	9.21	0.900	bicubic
1147	levit_conv_128.fb_dist_in1k	224	93.370	6.630	98.380	1.620	9.21	0.900	bicubic
1148	cs3darknet_m.c2ns_in1k	288	93.350	6.650	98.620	1.380	9.31	0.950	bicubic
1149	resnet50.ra_in1k	224	93.350	6.650	98.550	1.450	25.56	0.875	bicubic
1150	inception_v3.tf_in1k	299	93.350	6.650	98.060	1.940	23.83	0.875	bicubic
1151	dla169.in1k	224	93.330	6.670	98.600	1.400	53.39	0.875	bilinear
1152	repvgg_b1.rvgg_in1k	224	93.330	6.670	98.510	1.490	57.42	0.875	bilinear
1153	resnet152.tv_in1k	224	93.330	6.670	98.380	1.620	60.19	0.875	bilinear
1154	selecsls60b.in1k	224	93.330	6.670	98.270	1.730	32.77	0.875	bicubic
1155	repvit_m1.dist_in1k	224	93.320	6.680	98.420	1.580	5.49	0.950	bicubic
1156	bat_resnext26ts.ch_in1k	256	93.320	6.680	98.350	1.650	10.73	0.900	bicubic
1157	legacy_seresnet101.in1k	224	93.310	6.690	98.480	1.520	49.33	0.875	bilinear
1158	fbnetv3_b.ra2_in1k	224	93.300	6.700	98.430	1.570	8.60	0.950	bilinear
1159	mobilevitv2_100.cvnets_in1k	256	93.290	6.710	98.250	1.750	4.90	0.888	bicubic
1160	tf_mixnet_l.in1k	224	93.290	6.710	98.030	1.970	7.33	0.875	bicubic
1161	efficientnet_b1.ft_in1k	256	93.280	6.720	98.240	1.760	7.79	1.000	bicubic
1162	resnet50.bt_in1k	224	93.260	6.740	98.390	1.610	25.56	0.875	bicubic
1163	coat_lite_tiny.in1k	224	93.260	6.740	98.270	1.730	5.72	0.900	bicubic
1164	efficientnet_b0.ra4_e3600_r224_in1k	224	93.240	6.760	98.370	1.630	5.29	0.900	bicubic
1165	mobilevit_s.cvnets_in1k	256	93.210	6.790	98.470	1.530	5.58	0.900	bicubic
1166	wide_resnet50_2.tv_in1k	224	93.210	6.790	98.320	1.680	68.88	0.875	bilinear
1167	efficientnet_es.ra_in1k	224	93.200	6.800	98.410	1.590	5.44	0.875	bicubic
1168	hrnet_w30.ms_in1k	224	93.200	6.800	98.410	1.590	37.71	0.875	bilinear
1169	gcresnext26ts.ch_in1k	288	93.190	6.810	98.290	1.710	10.48	1.000	bicubic
1170	resnet26t.ra2_in1k	320	93.180	6.820	98.500	1.500	16.01	1.000	bicubic
1171	dla60_res2next.in1k	224	93.180	6.820	98.410	1.590	17.03	0.875	bilinear
1172	ese_vovnet19b_dw.ra_in1k	288	93.170	6.830	98.270	1.730	6.54	0.950	bicubic
1173	dla60_res2net.in1k	224	93.150	6.850	98.410	1.590	20.85	0.875	bilinear
1174	regnetx_032.pycls_in1k	224	93.140	6.860	98.390	1.610	15.30	0.875	bicubic
1175	regnety_016.pycls_in1k	224	93.140	6.860	98.340	1.660	11.20	0.875	bicubic
1176	tf_efficientnetv2_b1.in1k	192	93.140	6.860	98.100	1.900	8.14	0.882	bicubic
1177	tf_efficientnetv2_b0.in1k	224	93.130	6.870	98.360	1.640	7.14	0.875	bicubic
1178	pit_xs_224.in1k	224	93.120	6.880	98.310	1.690	10.62	0.900	bicubic
1179	dla60x.in1k	224	93.100	6.900	98.490	1.510	17.35	0.875	bilinear
1180	eca_resnext26ts.ch_in1k	288	93.100	6.900	98.430	1.570	10.30	1.000	bicubic
1181	resnet34.a1_in1k	288	93.100	6.900	98.300	1.700	21.80	1.000	bicubic
1182	convnext_atto_ols.a2_in1k	288	93.090	6.910	98.470	1.530	3.70	0.950	bicubic
1183	tf_efficientnet_b1.in1k	240	93.090	6.910	98.290	1.710	7.79	0.882	bicubic
1184	dla102.in1k	224	93.080	6.920	98.540	1.460	33.27	0.875	bilinear
1185	convnext_femto_ols.d1_in1k	224	93.070	6.930	98.400	1.600	5.23	0.875	bicubic
1186	ecaresnet50t.a3_in1k	160	93.070	6.930	98.280	1.720	25.57	0.950	bicubic
1187	resnet101.a3_in1k	160	93.040	6.960	98.150	1.850	44.55	0.950	bicubic
1188	selecsls60.in1k	224	93.030	6.970	98.310	1.690	30.67	0.875	bicubic
1189	rexnet_100.nav_in1k	224	93.030	6.970	98.190	1.810	4.80	0.875	bicubic
1190	resnet50c.gluon_in1k	224	93.020	6.980	98.360	1.640	25.58	0.875	bicubic
1191	repvgg_b1g4.rvgg_in1k	224	93.010	6.990	98.410	1.590	39.97	0.875	bilinear
1192	ghostnetv2_160.in1k	224	93.010	6.990	98.230	1.770	12.39	0.875	bicubic
1193	cs3darknet_focus_m.c2ns_in1k	288	92.990	7.010	98.360	1.640	9.30	0.950	bicubic
1194	seresnext26ts.ch_in1k	288	92.980	7.020	98.410	1.590	10.39	1.000	bicubic
1195	legacy_seresnet50.in1k	224	92.980	7.020	98.200	1.800	28.09	0.875	bilinear
1196	hardcorenas_f.miil_green_in1k	224	92.970	7.030	98.140	1.860	8.20	0.875	bilinear
1197	convnextv2_atto.fcmae_ft_in1k	288	92.970	7.030	98.060	1.940	3.71	0.950	bicubic
1198	poolformerv2_s12.sail_in1k	224	92.960	7.040	98.360	1.640	11.89	1.000	bicubic
1199	tf_efficientnet_em.in1k	240	92.950	7.050	98.210	1.790	6.90	0.882	bicubic
1200	crossvit_9_dagger_240.in1k	240	92.940	7.060	98.210	1.790	8.78	0.875	bicubic
1201	convnext_femto.d1_in1k	224	92.930	7.070	98.260	1.740	5.22	0.875	bicubic
1202	resnetrs50.tf_in1k	160	92.930	7.070	98.250	1.750	35.69	0.910	bicubic
1203	mobileone_s3.apple_in1k	224	92.910	7.090	98.180	1.820	10.17	0.900	bilinear
1204	res2next50.in1k	224	92.900	7.100	98.210	1.790	24.67	0.875	bilinear
1205	inception_v3.tf_adv_in1k	299	92.900	7.100	98.140	1.860	23.83	0.875	bicubic
1206	gmixer_24_224.ra3_in1k	224	92.870	7.130	97.890	2.110	24.72	0.875	bicubic
1207	seresnext26t_32x4d.bt_in1k	224	92.840	7.160	98.350	1.650	16.81	0.875	bicubic
1208	mobileone_s2.apple_in1k	224	92.830	7.170	98.250	1.750	7.88	0.900	bilinear
1209	tf_efficientnet_cc_b0_8e.in1k	224	92.830	7.170	98.170	1.830	24.01	0.875	bicubic
1210	hgnetv2_b0.ssld_stage2_ft_in1k	224	92.820	7.180	98.440	1.560	6.00	0.965	bicubic
1211	dpn68b.mx_in1k	224	92.820	7.180	98.150	1.850	12.61	0.875	bicubic
1212	resmlp_12_224.fb_distilled_in1k	224	92.820	7.180	98.130	1.870	15.35	0.875	bicubic
1213	resnet101.tv_in1k	224	92.810	7.190	98.230	1.770	44.55	0.875	bilinear
1214	efficientnet_b1_pruned.in1k	240	92.790	7.210	98.050	1.950	6.33	0.882	bicubic
1215	inception_v3.tv_in1k	299	92.780	7.220	97.950	2.050	23.83	0.875	bicubic
1216	hrnet_w18_small_v2.gluon_in1k	224	92.770	7.230	98.410	1.590	15.60	0.875	bicubic
1217	resnet50.a3_in1k	224	92.770	7.230	98.170	1.830	25.56	0.950	bicubic
1218	convnext_atto.d2_in1k	288	92.770	7.230	98.050	1.950	3.70	0.950	bicubic
1219	gcresnext26ts.ch_in1k	256	92.760	7.240	98.280	1.720	10.48	0.900	bicubic
1220	densenet201.tv_in1k	224	92.760	7.240	98.230	1.770	20.01	0.875	bicubic
1221	resnext50_32x4d.tv_in1k	224	92.750	7.250	98.260	1.740	25.03	0.875	bilinear
1222	resnet26t.ra2_in1k	256	92.750	7.250	98.250	1.750	16.01	0.940	bicubic
1223	resnet34.a2_in1k	288	92.750	7.250	97.990	2.010	21.80	1.000	bicubic
1224	resnet34d.ra2_in1k	224	92.730	7.270	98.260	1.740	21.82	0.875	bicubic
1225	seresnext26d_32x4d.bt_in1k	224	92.730	7.270	98.170	1.830	16.81	0.875	bicubic
1226	seresnext26ts.ch_in1k	256	92.720	7.280	98.300	1.700	10.39	0.900	bicubic
1227	res2net50_14w_8s.in1k	224	92.720	7.280	98.180	1.820	25.06	0.875	bilinear
1228	resnext50_32x4d.a3_in1k	160	92.690	7.310	97.990	2.010	25.03	0.950	bicubic
1229	tf_efficientnet_lite2.in1k	260	92.680	7.320	98.240	1.760	6.09	0.890	bicubic
1230	mobilenetv1_125.ra4_e3600_r224_in1k	256	92.680	7.320	98.220	1.780	6.27	1.000	bicubic
1231	cs3darknet_m.c2ns_in1k	256	92.670	7.330	98.480	1.520	9.31	0.887	bicubic
1232	efficientnet_b0.ra_in1k	224	92.670	7.330	98.080	1.920	5.29	0.875	bicubic
1233	poolformer_s12.sail_in1k	224	92.650	7.350	98.180	1.820	11.92	0.900	bicubic
1234	legacy_seresnext26_32x4d.in1k	224	92.640	7.360	98.110	1.890	16.79	0.875	bicubic
1235	eca_resnext26ts.ch_in1k	256	92.630	7.370	98.260	1.740	10.30	0.900	bicubic
1236	densenetblur121d.ra_in1k	288	92.630	7.370	98.240	1.760	8.00	0.950	bicubic
1237	tf_efficientnet_cc_b0_4e.in1k	224	92.630	7.370	98.090	1.910	13.31	0.875	bicubic
1238	tf_efficientnet_lite1.in1k	240	92.600	7.400	98.040	1.960	5.42	0.882	bicubic
1239	regnetx_008.tv2_in1k	224	92.590	7.410	98.180	1.820	7.26	0.965	bicubic
1240	densenet161.tv_in1k	224	92.580	7.420	98.290	1.710	28.68	0.875	bicubic
1241	xcit_tiny_12_p16_224.fb_in1k	224	92.580	7.420	98.250	1.750	6.72	1.000	bicubic
1242	hardcorenas_e.miil_green_in1k	224	92.570	7.430	98.130	1.870	8.07	0.875	bilinear
1243	res2net50_48w_2s.in1k	224	92.560	7.440	98.070	1.930	25.29	0.875	bilinear
1244	densenet121.ra_in1k	288	92.550	7.450	98.210	1.790	7.98	0.950	bicubic
1245	resnet50.gluon_in1k	224	92.550	7.450	98.190	1.810	25.56	0.875	bicubic
1246	fastvit_t8.apple_dist_in1k	256	92.540	7.460	98.030	1.970	4.03	0.900	bicubic
1247	res2net50_26w_4s.in1k	224	92.530	7.470	98.070	1.930	25.70	0.875	bilinear
1248	resnet26d.bt_in1k	288	92.490	7.510	98.220	1.780	16.01	0.950	bicubic
1249	tinynet_a.in1k	192	92.480	7.520	98.080	1.920	6.19	0.875	bicubic
1250	mobilenetv2_120d.ra_in1k	224	92.480	7.520	98.040	1.960	5.83	0.875	bicubic
1251	hgnetv2_b0.ssld_stage1_in22k_in1k	224	92.470	7.530	98.420	1.580	6.00	0.965	bicubic
1252	hardcorenas_d.miil_green_in1k	224	92.460	7.540	98.030	1.970	7.50	0.875	bilinear
1253	resnet50d.a3_in1k	160	92.440	7.560	98.050	1.950	25.58	0.950	bicubic
1254	efficientvit_m5.r224_in1k	224	92.440	7.560	97.990	2.010	12.47	0.875	bicubic
1255	convmixer_1024_20_ks9_p14.in1k	224	92.430	7.570	98.280	1.720	24.38	0.960	bicubic
1256	efficientnet_b1.ft_in1k	224	92.430	7.570	97.820	2.180	7.79	0.875	bicubic
1257	mixnet_m.ft_in1k	224	92.420	7.580	97.870	2.130	5.01	0.875	bicubic
1258	resnet34.bt_in1k	288	92.410	7.590	98.150	1.850	21.80	0.950	bicubic
1259	cs3darknet_focus_m.c2ns_in1k	256	92.380	7.620	98.380	1.620	9.30	0.887	bicubic
1260	skresnet34.ra_in1k	224	92.380	7.620	98.140	1.860	22.28	0.875	bicubic
1261	hrnet_w18.ms_in1k	224	92.370	7.630	98.310	1.690	21.30	0.875	bilinear
1262	repghostnet_150.in1k	224	92.370	7.630	98.060	1.940	6.58	0.875	bicubic
1263	tf_mixnet_m.in1k	224	92.340	7.660	97.880	2.120	5.01	0.875	bicubic
1264	ghostnetv2_130.in1k	224	92.320	7.680	98.070	1.930	8.96	0.875	bicubic
1265	selecsls42b.in1k	224	92.300	7.700	98.140	1.860	32.46	0.875	bicubic
1266	tf_efficientnetv2_b0.in1k	192	92.290	7.710	98.200	1.800	7.14	0.875	bicubic
1267	ese_vovnet19b_dw.ra_in1k	224	92.280	7.720	98.100	1.900	6.54	0.875	bicubic
1268	tf_efficientnet_b0.aa_in1k	224	92.280	7.720	97.990	2.010	5.29	0.875	bicubic
1269	tf_efficientnet_b0.ap_in1k	224	92.260	7.740	98.020	1.980	5.29	0.875	bicubic
1270	mobilenetv3_large_100.miil_in21k_ft_in1k	224	92.250	7.750	97.650	2.350	5.48	0.875	bilinear
1271	mobilenetv1_100h.ra4_e3600_r224_in1k	256	92.230	7.770	98.000	2.000	5.28	0.950	bicubic
1272	resmlp_12_224.fb_in1k	224	92.210	7.790	98.150	1.850	15.35	0.875	bicubic
1273	dla60.in1k	224	92.200	7.800	98.100	1.900	22.04	0.875	bilinear
1274	regnetx_016.pycls_in1k	224	92.180	7.820	98.200	1.800	9.19	0.875	bicubic
1275	resnext26ts.ra2_in1k	288	92.160	7.840	98.020	1.980	10.30	1.000	bicubic
1276	fastvit_t8.apple_in1k	256	92.160	7.840	97.890	2.110	4.03	0.900	bicubic
1277	gernet_s.idstcv_in1k	224	92.150	7.850	98.210	1.790	8.17	0.875	bilinear
1278	convnextv2_atto.fcmae_ft_in1k	224	92.130	7.870	97.750	2.250	3.71	0.875	bicubic
1279	xcit_nano_12_p8_224.fb_dist_in1k	224	92.120	7.880	98.170	1.830	3.05	1.000	bicubic
1280	resnet34.a1_in1k	224	92.110	7.890	97.780	2.220	21.80	0.950	bicubic
1281	seresnet50.a3_in1k	224	92.100	7.900	98.040	1.960	28.09	0.950	bicubic
1282	tf_efficientnet_b0.in1k	224	92.090	7.910	97.920	2.080	5.29	0.875	bicubic
1283	mobilenetv1_100.ra4_e3600_r224_in1k	256	92.090	7.910	97.820	2.180	4.23	0.950	bicubic
1284	vit_small_patch32_224.augreg_in21k_ft_in1k	224	92.080	7.920	98.250	1.750	22.88	0.900	bicubic
1285	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	384	92.050	7.950	98.290	1.710	6.36	1.000	bicubic
1286	resnet26d.bt_in1k	224	92.050	7.950	97.960	2.040	16.01	0.875	bicubic
1287	hardcorenas_c.miil_green_in1k	224	92.040	7.960	97.840	2.160	5.52	0.875	bilinear
1288	resnet26.bt_in1k	288	92.030	7.970	98.200	1.800	16.00	0.950	bicubic
1289	dpn68.mx_in1k	224	91.990	8.010	98.010	1.990	12.61	0.875	bicubic
1290	tf_efficientnet_es.in1k	224	91.980	8.020	97.860	2.140	5.44	0.875	bicubic
1291	efficientformerv2_s0.snap_dist_in1k	224	91.970	8.030	97.890	2.110	3.60	0.950	bicubic
1292	densenet169.tv_in1k	224	91.960	8.040	98.090	1.910	14.15	0.875	bicubic
1293	mobilenetv1_125.ra4_e3600_r224_in1k	224	91.950	8.050	98.030	1.970	6.27	0.900	bicubic
1294	mixnet_s.ft_in1k	224	91.950	8.050	97.680	2.320	4.13	0.875	bicubic
1295	repvgg_a2.rvgg_in1k	224	91.940	8.060	98.130	1.870	28.21	0.875	bilinear
1296	levit_128s.fb_dist_in1k	224	91.940	8.060	98.070	1.930	7.78	0.900	bicubic
1297	levit_conv_128s.fb_dist_in1k	224	91.940	8.060	98.070	1.930	7.78	0.900	bicubic
1298	densenetblur121d.ra_in1k	224	91.930	8.070	98.100	1.900	8.00	0.875	bicubic
1299	convnext_atto_ols.a2_in1k	224	91.930	8.070	97.980	2.020	3.70	0.875	bicubic
1300	xcit_nano_12_p16_384.fb_dist_in1k	384	91.900	8.100	98.040	1.960	3.05	1.000	bicubic
1301	resnet50.tv_in1k	224	91.890	8.110	98.050	1.950	25.56	0.875	bilinear
1302	repghostnet_130.in1k	224	91.880	8.120	97.930	2.070	5.48	0.875	bicubic
1303	mixer_b16_224.goog_in21k_ft_in1k	224	91.860	8.140	97.200	2.800	59.88	0.875	bicubic
1304	resnext26ts.ra2_in1k	256	91.840	8.160	97.930	2.070	10.30	0.900	bicubic
1305	hardcorenas_b.miil_green_in1k	224	91.840	8.160	97.770	2.230	5.18	0.875	bilinear
1306	mobilenetv2_140.ra_in1k	224	91.830	8.170	97.880	2.120	6.11	0.875	bicubic
1307	vit_tiny_patch16_224.augreg_in21k_ft_in1k	224	91.770	8.230	98.040	1.960	5.72	0.900	bicubic
1308	convnext_atto.d2_in1k	224	91.770	8.230	97.940	2.060	3.70	0.875	bicubic
1309	mobilevitv2_075.cvnets_in1k	256	91.750	8.250	97.860	2.140	2.87	0.888	bicubic
1310	edgenext_x_small.in1k	288	91.740	8.260	97.590	2.410	2.34	1.000	bicubic
1311	resnet34.a2_in1k	224	91.730	8.270	97.770	2.230	21.80	0.950	bicubic
1312	regnety_008.pycls_in1k	224	91.720	8.280	98.170	1.830	6.26	0.875	bicubic
1313	resnest14d.gluon_in1k	224	91.720	8.280	97.870	2.130	10.61	0.875	bilinear
1314	densenet121.ra_in1k	224	91.620	8.380	98.080	1.920	7.98	0.875	bicubic
1315	regnety_004.tv2_in1k	224	91.620	8.380	97.910	2.090	4.34	0.965	bicubic
1316	tf_mixnet_s.in1k	224	91.520	8.480	97.590	2.410	4.13	0.875	bicubic
1317	regnety_006.pycls_in1k	224	91.440	8.560	97.760	2.240	6.06	0.875	bicubic
1318	resnet50.a3_in1k	160	91.430	8.570	97.630	2.370	25.56	0.950	bicubic
1319	repvgg_b0.rvgg_in1k	224	91.410	8.590	97.980	2.020	15.82	0.875	bilinear
1320	mobilenetv1_100h.ra4_e3600_r224_in1k	224	91.380	8.620	97.810	2.190	5.28	0.875	bicubic
1321	hardcorenas_a.miil_green_in1k	224	91.360	8.640	97.840	2.160	5.26	0.875	bilinear
1322	mobileone_s1.apple_in1k	224	91.360	8.640	97.770	2.230	4.83	0.900	bilinear
1323	semnasnet_100.rmsp_in1k	224	91.360	8.640	97.540	2.460	3.89	0.875	bicubic
1324	mobilenetv3_large_100.ra_in1k	224	91.340	8.660	97.700	2.300	5.48	0.875	bicubic
1325	mobilenetv3_rw.rmsp_in1k	224	91.320	8.680	97.630	2.370	5.48	0.875	bicubic
1326	tf_mobilenetv3_large_100.in1k	224	91.220	8.780	97.660	2.340	5.48	0.875	bilinear
1327	hrnet_w18_small_v2.ms_in1k	224	91.210	8.790	97.900	2.100	15.60	0.875	bilinear
1328	vit_base_patch32_224.augreg_in1k	224	91.200	8.800	97.380	2.620	88.22	0.900	bicubic
1329	efficientnet_es_pruned.in1k	224	91.190	8.810	97.740	2.260	5.44	0.875	bicubic
1330	mobilenetv1_100.ra4_e3600_r224_in1k	224	91.180	8.820	97.800	2.200	4.23	0.875	bicubic
1331	resnet26.bt_in1k	224	91.180	8.820	97.770	2.230	16.00	0.875	bicubic
1332	resnet34.bt_in1k	224	91.170	8.830	97.570	2.430	21.80	0.875	bicubic
1333	efficientnet_lite0.ra_in1k	224	91.140	8.860	97.640	2.360	4.65	0.875	bicubic
1334	edgenext_x_small.in1k	256	91.140	8.860	97.550	2.450	2.34	0.900	bicubic
1335	regnetx_008.pycls_in1k	224	91.100	8.900	97.710	2.290	7.26	0.875	bicubic
1336	tf_efficientnet_lite0.in1k	224	91.100	8.900	97.540	2.460	4.65	0.875	bicubic
1337	mobilenetv4_conv_small.e2400_r224_in1k	256	91.020	8.980	97.670	2.330	3.77	0.950	bicubic
1338	mobilenetv2_110d.ra_in1k	224	91.000	9.000	97.560	2.440	4.52	0.875	bicubic
1339	seresnet50.a3_in1k	160	91.000	9.000	97.410	2.590	28.09	0.950	bicubic
1340	resnet34.gluon_in1k	224	90.970	9.030	97.650	2.350	21.80	0.875	bicubic
1341	xcit_nano_12_p8_224.fb_in1k	224	90.960	9.040	97.760	2.240	3.05	1.000	bicubic
1342	legacy_seresnet34.in1k	224	90.920	9.080	97.570	2.430	21.96	0.875	bilinear
1343	tinynet_b.in1k	188	90.910	9.090	97.670	2.330	3.73	0.875	bicubic
1344	densenet121.tv_in1k	224	90.900	9.100	97.730	2.270	7.98	0.875	bicubic
1345	ghostnetv2_100.in1k	224	90.860	9.140	97.700	2.300	6.16	0.875	bicubic
1346	mobilevit_xs.cvnets_in1k	256	90.850	9.150	97.940	2.060	2.32	0.900	bicubic
1347	fbnetc_100.rmsp_in1k	224	90.780	9.220	97.220	2.780	5.57	0.875	bilinear
1348	dla34.in1k	224	90.770	9.230	97.650	2.350	15.74	0.875	bilinear
1349	pit_ti_distilled_224.in1k	224	90.770	9.230	97.650	2.350	5.10	0.900	bicubic
1350	deit_tiny_distilled_patch16_224.fb_in1k	224	90.760	9.240	97.570	2.430	5.91	0.900	bicubic
1351	repghostnet_111.in1k	224	90.750	9.250	97.460	2.540	4.54	0.875	bicubic
1352	crossvit_9_240.in1k	240	90.660	9.340	97.740	2.260	8.55	0.875	bicubic
1353	resnet18.fb_swsl_ig1b_ft_in1k	224	90.660	9.340	97.700	2.300	11.69	0.875	bilinear
1354	mnasnet_100.rmsp_in1k	224	90.650	9.350	97.510	2.490	4.38	0.875	bicubic
1355	mobilenetv4_conv_small.e1200_r224_in1k	256	90.640	9.360	97.510	2.490	3.77	0.950	bicubic
1356	regnetx_004_tv.tv2_in1k	224	90.630	9.370	97.600	2.400	5.50	0.965	bicubic
1357	convit_tiny.fb_in1k	224	90.620	9.380	97.740	2.260	5.71	0.875	bicubic
1358	efficientvit_m4.r224_in1k	224	90.600	9.400	97.590	2.410	8.80	0.875	bicubic
1359	repvgg_a1.rvgg_in1k	224	90.590	9.410	97.640	2.360	14.09	0.875	bilinear
1360	regnety_004.pycls_in1k	224	90.510	9.490	97.580	2.420	4.34	0.875	bicubic
1361	regnetx_006.pycls_in1k	224	90.370	9.630	97.420	2.580	6.20	0.875	bicubic
1362	repghostnet_100.in1k	224	90.320	9.680	97.490	2.510	4.07	0.875	bicubic
1363	spnasnet_100.rmsp_in1k	224	90.320	9.680	97.190	2.810	4.42	0.875	bilinear
1364	resnet18d.ra2_in1k	288	90.310	9.690	97.560	2.440	11.71	0.950	bicubic
1365	resnet18.fb_ssl_yfcc100m_ft_in1k	224	90.250	9.750	97.560	2.440	11.69	0.875	bilinear
1366	crossvit_tiny_240.in1k	240	90.230	9.770	97.590	2.410	7.01	0.875	bicubic
1367	ghostnet_100.in1k	224	90.200	9.800	97.250	2.750	5.18	0.875	bicubic
1368	vgg19_bn.tv_in1k	224	90.120	9.880	97.580	2.420	143.68	0.875	bilinear
1369	semnasnet_075.rmsp_in1k	224	90.090	9.910	97.410	2.590	2.91	0.875	bicubic
1370	vgg16_bn.tv_in1k	224	90.090	9.910	97.370	2.630	138.37	0.875	bilinear
1371	mobilenetv4_conv_small.e2400_r224_in1k	224	90.070	9.930	97.280	2.720	3.77	0.875	bicubic
1372	pit_ti_224.in1k	224	89.950	10.050	97.440	2.560	4.85	0.900	bicubic
1373	resnet34.tv_in1k	224	89.930	10.070	97.340	2.660	21.80	0.875	bilinear
1374	mobilenetv4_conv_small.e1200_r224_in1k	224	89.920	10.080	97.240	2.760	3.77	0.875	bicubic
1375	resnet34.a3_in1k	224	89.920	10.080	97.170	2.830	21.80	0.950	bicubic
1376	efficientvit_m3.r224_in1k	224	89.880	10.120	97.540	2.460	6.90	0.875	bicubic
1377	vit_base_patch32_224.sam_in1k	224	89.750	10.250	96.980	3.020	88.22	0.900	bicubic
1378	resnet18.a1_in1k	288	89.720	10.280	97.100	2.900	11.69	1.000	bicubic
1379	deit_tiny_patch16_224.fb_in1k	224	89.690	10.310	97.500	2.500	5.72	0.900	bicubic
1380	skresnet18.ra_in1k	224	89.660	10.340	97.240	2.760	11.96	0.875	bicubic
1381	tf_mobilenetv3_large_075.in1k	224	89.660	10.340	97.230	2.770	3.99	0.875	bilinear
1382	xcit_nano_12_p16_224.fb_dist_in1k	224	89.660	10.340	97.090	2.910	3.05	1.000	bicubic
1383	mobilenetv2_100.ra_in1k	224	89.630	10.370	97.140	2.860	3.50	0.875	bicubic
1384	resnet18.a2_in1k	288	89.580	10.420	96.950	3.050	11.69	1.000	bicubic
1385	hrnet_w18_small.gluon_in1k	224	89.480	10.520	97.050	2.950	13.19	0.875	bicubic
1386	resnet18d.ra2_in1k	224	89.330	10.670	97.180	2.820	11.71	0.875	bicubic
1387	repvgg_a0.rvgg_in1k	224	89.260	10.740	96.930	3.070	9.11	0.875	bilinear
1388	vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	224	89.230	10.770	97.220	2.780	6.34	0.900	bicubic
1389	vgg19.tv_in1k	224	89.060	10.940	96.900	3.100	143.67	0.875	bilinear
1390	hrnet_w18_small.ms_in1k	224	89.050	10.950	97.080	2.920	13.19	0.875	bilinear
1391	resnet14t.c3_in1k	224	89.000	11.000	96.700	3.300	10.08	0.950	bicubic
1392	repghostnet_080.in1k	224	88.970	11.030	96.770	3.230	3.28	0.875	bicubic
1393	tf_mobilenetv3_large_minimal_100.in1k	224	88.940	11.060	96.880	3.120	3.92	0.875	bilinear
1394	regnetx_004.pycls_in1k	224	88.920	11.080	97.110	2.890	5.16	0.875	bicubic
1395	legacy_seresnet18.in1k	224	88.890	11.110	96.970	3.030	11.78	0.875	bicubic
1396	edgenext_xx_small.in1k	288	88.870	11.130	96.680	3.320	1.33	1.000	bicubic
1397	vgg13_bn.tv_in1k	224	88.780	11.220	96.970	3.030	133.05	0.875	bilinear
1398	pvt_v2_b0.in1k	224	88.780	11.220	96.870	3.130	3.67	0.900	bicubic
1399	lcnet_100.ra2_in1k	224	88.760	11.240	96.710	3.290	2.95	0.875	bicubic
1400	xcit_nano_12_p16_224.fb_in1k	224	88.600	11.400	96.830	3.170	3.05	1.000	bicubic
1401	vgg16.tv_in1k	224	88.550	11.450	96.790	3.210	138.36	0.875	bilinear
1402	efficientvit_m2.r224_in1k	224	88.460	11.540	96.910	3.090	4.19	0.875	bicubic
1403	resnet18.a1_in1k	224	88.440	11.560	96.650	3.350	11.69	0.950	bicubic
1404	resnet18.gluon_in1k	224	88.370	11.630	96.700	3.300	11.69	0.875	bicubic
1405	edgenext_xx_small.in1k	256	88.370	11.630	96.530	3.470	1.33	0.900	bicubic
1406	mobileone_s0.apple_in1k	224	88.320	11.680	96.430	3.570	5.29	0.875	bilinear
1407	resnet14t.c3_in1k	176	88.290	11.710	96.370	3.630	10.08	0.875	bicubic
1408	mobilevitv2_050.cvnets_in1k	256	88.250	11.750	96.970	3.030	1.37	0.888	bicubic
1409	resnet18.a2_in1k	224	88.030	11.970	96.420	3.580	11.69	0.950	bicubic
1410	efficientvit_b0.r224_in1k	224	87.980	12.020	96.080	3.920	3.41	0.950	bicubic
1411	resnet34.a3_in1k	160	87.900	12.100	96.470	3.530	21.80	0.950	bicubic
1412	tinynet_c.in1k	184	87.790	12.210	96.370	3.630	2.46	0.875	bicubic
1413	vgg11_bn.tv_in1k	224	87.500	12.500	96.810	3.190	132.87	0.875	bilinear
1414	resnet18.tv_in1k	224	87.380	12.620	96.260	3.740	11.69	0.875	bilinear
1415	regnety_002.pycls_in1k	224	87.350	12.650	96.600	3.400	3.16	0.875	bicubic
1416	mixer_l16_224.goog_in21k_ft_in1k	224	87.180	12.820	93.520	6.480	208.20	0.875	bicubic
1417	mobilevit_xxs.cvnets_in1k	256	87.160	12.840	96.100	3.900	1.27	0.900	bicubic
1418	vgg13.tv_in1k	224	87.020	12.980	96.310	3.690	133.05	0.875	bilinear
1419	efficientvit_m1.r224_in1k	224	86.810	13.190	96.000	4.000	2.98	0.875	bicubic
1420	vgg11.tv_in1k	224	86.580	13.420	96.310	3.690	132.86	0.875	bilinear
1421	repghostnet_058.in1k	224	86.510	13.490	95.900	4.100	2.55	0.875	bicubic
1422	resnet18.a3_in1k	224	86.430	13.570	95.900	4.100	11.69	0.950	bicubic
1423	dla60x_c.in1k	224	86.330	13.670	96.090	3.910	1.32	0.875	bilinear
1424	resnet10t.c3_in1k	224	86.250	13.750	95.720	4.280	5.44	0.950	bicubic
1425	regnetx_002.pycls_in1k	224	86.200	13.800	95.970	4.030	2.68	0.875	bicubic
1426	lcnet_075.ra2_in1k	224	86.040	13.960	95.680	4.320	2.36	0.875	bicubic
1427	tf_mobilenetv3_small_100.in1k	224	85.220	14.780	95.770	4.230	2.54	0.875	bilinear
1428	mobilenetv3_small_100.lamb_in1k	224	85.190	14.810	95.620	4.380	2.54	0.875	bicubic
1429	repghostnet_050.in1k	224	85.040	14.960	95.220	4.780	2.31	0.875	bicubic
1430	tinynet_d.in1k	152	84.830	15.170	95.220	4.780	2.34	0.875	bicubic
1431	resnet10t.c3_in1k	176	84.780	15.220	95.010	4.990	5.44	0.875	bicubic
1432	mnasnet_small.lamb_in1k	224	84.370	15.630	95.170	4.830	2.03	0.875	bicubic
1433	dla46x_c.in1k	224	84.350	15.650	95.240	4.760	1.07	0.875	bilinear
1434	resnet18.a3_in1k	160	84.270	15.730	94.630	5.370	11.69	0.950	bicubic
1435	mobilenetv2_050.lamb_in1k	224	83.940	16.060	94.590	5.410	1.97	0.875	bicubic
1436	dla46_c.in1k	224	83.620	16.380	94.920	5.080	1.30	0.875	bilinear
1437	tf_mobilenetv3_small_075.in1k	224	83.520	16.480	94.860	5.140	2.04	0.875	bilinear
1438	mobilenetv3_small_075.lamb_in1k	224	83.110	16.890	94.150	5.850	2.04	0.875	bicubic
1439	efficientvit_m0.r224_in1k	224	82.400	17.600	94.420	5.580	2.35	0.875	bicubic
1440	lcnet_050.ra2_in1k	224	81.720	18.280	93.730	6.270	1.88	0.875	bicubic
1441	tf_mobilenetv3_small_minimal_100.in1k	224	81.320	18.680	93.700	6.300	2.04	0.875	bilinear
1442	tinynet_e.in1k	106	78.990	21.010	92.560	7.440	2.04	0.875	bicubic
1443	mobilenetv3_small_050.lamb_in1k	224	76.980	23.020	91.310	8.690	1.59	0.875	bicubic
1444	test_efficientnet.r160_in1k	160	67.110	32.890	86.100	13.900	0.36	0.875	bicubic
1445	test_byobnet.r160_in1k	160	65.870	34.130	86.270	13.730	0.46	0.875	bicubic
1446	test_vit.r160_in1k	160	62.460	37.540	84.540	15.460	0.37	0.875	bicubic