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	98.930	1.070	99.910	0.090	305.08	1.000	bicubic
3	eva02_large_patch14_448.mim_in22k_ft_in1k	448	98.840	1.160	99.830	0.170	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	eva_large_patch14_336.in22k_ft_in1k	336	98.720	1.280	99.870	0.130	304.53	1.000	bicubic
10	eva02_large_patch14_448.mim_m38m_ft_in1k	448	98.720	1.280	99.790	0.210	305.08	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	beit_large_patch16_384.in22k_ft_in22k_in1k	384	98.520	1.480	99.820	0.180	305.00	1.000	bicubic
21	maxvit_base_tf_384.in21k_ft_in1k	384	98.520	1.480	99.750	0.250	119.65	1.000	bicubic
22	maxvit_xlarge_tf_384.in21k_ft_in1k	384	98.510	1.490	99.780	0.220	475.32	1.000	bicubic
23	tf_efficientnet_l2.ns_jft_in1k_475	475	98.500	1.500	99.840	0.160	480.31	0.936	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	98.440	1.560	99.870	0.130	644.81	1.000	bicubic
29	convnext_xxlarge.clip_laion2b_soup_ft_in1k	256	98.440	1.560	99.820	0.180	846.47	1.000	bicubic
30	eva02_base_patch14_448.mim_in22k_ft_in1k	448	98.440	1.560	99.820	0.180	87.12	1.000	bicubic
31	caformer_b36.sail_in22k_ft_in1k_384	384	98.440	1.560	99.800	0.200	98.75	1.000	bicubic
32	vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k	336	98.430	1.570	99.810	0.190	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	eva_large_patch14_196.in22k_ft_in1k	196	98.380	1.620	99.820	0.180	304.14	1.000	bicubic
36	convnextv2_large.fcmae_ft_in22k_in1k_384	384	98.380	1.620	99.760	0.240	197.96	1.000	bicubic
37	convnextv2_base.fcmae_ft_in22k_in1k_384	384	98.360	1.640	99.770	0.230	88.72	1.000	bicubic
38	vit_large_patch14_clip_336.laion2b_ft_in12k_in1k	336	98.350	1.650	99.770	0.230	304.53	1.000	bicubic
39	vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k	224	98.300	1.700	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	99.820	0.180	99.88	1.000	bicubic
43	maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k	384	98.260	1.740	99.780	0.220	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	98.220	1.780	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	beit_large_patch16_224.in22k_ft_in22k_in1k	224	98.170	1.830	99.760	0.240	304.43	0.900	bicubic
53	deit3_large_patch16_224.fb_in22k_ft_in1k	224	98.170	1.830	99.750	0.250	304.37	1.000	bicubic
54	deit3_huge_patch14_224.fb_in22k_ft_in1k	224	98.170	1.830	99.730	0.270	632.13	1.000	bicubic
55	caformer_b36.sail_in22k_ft_in1k	224	98.160	1.840	99.770	0.230	98.75	1.000	bicubic
56	swinv2_large_window12to24_192to384.ms_in22k_ft_in1k	384	98.160	1.840	99.710	0.290	196.74	1.000	bicubic
57	vit_large_patch14_clip_224.openai_ft_in1k	224	98.160	1.840	99.670	0.330	304.20	1.000	bicubic
58	swinv2_base_window12to24_192to384.ms_in22k_ft_in1k	384	98.140	1.860	99.780	0.220	87.92	1.000	bicubic
59	caformer_m36.sail_in22k_ft_in1k_384	384	98.140	1.860	99.750	0.250	56.20	1.000	bicubic
60	convnext_large.fb_in22k_ft_in1k	288	98.130	1.870	99.750	0.250	197.77	1.000	bicubic
61	convnext_xlarge.fb_in22k_ft_in1k	288	98.120	1.880	99.770	0.230	350.20	1.000	bicubic
62	convnextv2_large.fcmae_ft_in22k_in1k	288	98.110	1.890	99.770	0.230	197.96	1.000	bicubic
63	convnext_base.fb_in22k_ft_in1k_384	384	98.100	1.900	99.650	0.350	88.59	1.000	bicubic
64	vit_large_patch14_clip_224.laion2b_ft_in12k_in1k	224	98.080	1.920	99.760	0.240	304.20	1.000	bicubic
65	coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k	384	98.070	1.930	99.700	0.300	73.88	1.000	bicubic
66	regnety_320.swag_ft_in1k	384	98.060	1.940	99.860	0.140	145.05	1.000	bicubic
67	convnextv2_base.fcmae_ft_in22k_in1k	288	98.060	1.940	99.750	0.250	88.72	1.000	bicubic
68	convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384	384	98.050	1.950	99.750	0.250	88.59	1.000	bicubic
69	convformer_m36.sail_in22k_ft_in1k_384	384	98.040	1.960	99.690	0.310	57.05	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	swin_large_patch4_window12_384.ms_in22k_ft_in1k	384	98.020	1.980	99.690	0.310	196.74	1.000	bicubic
72	vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	384	98.010	1.990	99.660	0.340	86.86	1.000	bicubic
73	convnext_large.fb_in22k_ft_in1k	224	98.010	1.990	99.640	0.360	197.77	1.000	bicubic
74	caformer_s36.sail_in22k_ft_in1k_384	384	97.990	2.010	99.720	0.280	39.30	1.000	bicubic
75	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	288	97.980	2.020	99.710	0.290	93.59	1.000	bicubic
76	convnext_large_mlp.clip_laion2b_augreg_ft_in1k	256	97.980	2.020	99.700	0.300	200.13	1.000	bicubic
77	convnextv2_base.fcmae_ft_in22k_in1k	224	97.980	2.020	99.690	0.310	88.72	1.000	bicubic
78	convnextv2_large.fcmae_ft_in22k_in1k	224	97.960	2.040	99.750	0.250	197.96	1.000	bicubic
79	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	320	97.960	2.040	99.700	0.300	93.59	1.000	bicubic
80	convformer_b36.sail_in22k_ft_in1k	224	97.950	2.050	99.760	0.240	99.88	1.000	bicubic
81	hiera_huge_224.mae_in1k_ft_in1k	224	97.950	2.050	99.620	0.380	672.78	0.900	bicubic
82	nextvit_large.bd_ssld_6m_in1k_384	384	97.940	2.060	99.790	0.210	57.87	1.000	bicubic
83	seresnextaa101d_32x8d.sw_in12k_ft_in1k	288	97.940	2.060	99.670	0.330	93.59	1.000	bicubic
84	beitv2_large_patch16_224.in1k_ft_in1k	224	97.920	2.080	99.660	0.340	304.43	0.950	bicubic
85	vit_large_patch14_clip_224.laion2b_ft_in1k	224	97.910	2.090	99.650	0.350	304.20	1.000	bicubic
86	tf_efficientnetv2_xl.in21k_ft_in1k	512	97.910	2.090	99.600	0.400	208.12	1.000	bicubic
87	convnext_xlarge.fb_in22k_ft_in1k	224	97.900	2.100	99.730	0.270	350.20	1.000	bicubic
88	convnextv2_huge.fcmae_ft_in1k	288	97.900	2.100	99.680	0.320	660.29	1.000	bicubic
89	tiny_vit_21m_512.dist_in22k_ft_in1k	512	97.900	2.100	99.630	0.370	21.27	1.000	bicubic
90	tf_efficientnet_b7.ns_jft_in1k	600	97.890	2.110	99.710	0.290	66.35	0.949	bicubic
91	nextvit_base.bd_ssld_6m_in1k_384	384	97.880	2.120	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_base.fb_in22k_ft_in1k	288	97.850	2.150	99.670	0.330	88.59	1.000	bicubic
94	vit_large_r50_s32_384.augreg_in21k_ft_in1k	384	97.850	2.150	99.670	0.330	329.09	1.000	bicubic
95	convformer_s36.sail_in22k_ft_in1k_384	384	97.850	2.150	99.640	0.360	40.01	1.000	bicubic
96	deit3_base_patch16_384.fb_in22k_ft_in1k	384	97.840	2.160	99.680	0.320	86.88	1.000	bicubic
97	caformer_m36.sail_in22k_ft_in1k	224	97.840	2.160	99.670	0.330	56.20	1.000	bicubic
98	swinv2_large_window12to16_192to256.ms_in22k_ft_in1k	256	97.840	2.160	99.670	0.330	196.74	0.900	bicubic
99	tf_efficientnetv2_l.in21k_ft_in1k	480	97.830	2.170	99.760	0.240	118.52	1.000	bicubic
100	beit_base_patch16_384.in22k_ft_in22k_in1k	384	97.830	2.170	99.700	0.300	86.74	1.000	bicubic
101	vit_base_patch16_384.augreg_in21k_ft_in1k	384	97.830	2.170	99.670	0.330	86.86	1.000	bicubic
102	maxvit_large_tf_512.in1k	512	97.830	2.170	99.560	0.440	212.33	1.000	bicubic
103	hgnetv2_b6.ssld_stage1_in22k_in1k	288	97.810	2.190	99.690	0.310	75.26	1.000	bicubic
104	hgnetv2_b6.ssld_stage2_ft_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	convnext_small.in12k_ft_in1k_384	384	97.800	2.200	99.660	0.340	50.22	1.000	bicubic
107	maxvit_base_tf_512.in1k	512	97.800	2.200	99.610	0.390	119.88	1.000	bicubic
108	regnety_160.swag_ft_in1k	384	97.790	2.210	99.760	0.240	83.59	1.000	bicubic
109	volo_d5_512.sail_in1k	512	97.790	2.210	99.670	0.330	296.09	1.150	bicubic
110	maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k	224	97.790	2.210	99.650	0.350	116.14	0.950	bicubic
111	nextvit_small.bd_ssld_6m_in1k_384	384	97.780	2.220	99.710	0.290	31.76	1.000	bicubic
112	dm_nfnet_f5.dm_in1k	544	97.780	2.220	99.590	0.410	377.21	0.954	bicubic
113	dm_nfnet_f6.dm_in1k	576	97.770	2.230	99.650	0.350	438.36	0.956	bicubic
114	maxvit_small_tf_512.in1k	512	97.760	2.240	99.550	0.450	69.13	1.000	bicubic
115	maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k	224	97.750	2.250	99.710	0.290	116.09	0.950	bicubic
116	volo_d5_448.sail_in1k	448	97.750	2.250	99.620	0.380	295.91	1.150	bicubic
117	vit_base_patch16_clip_384.laion2b_ft_in1k	384	97.740	2.260	99.630	0.370	86.86	1.000	bicubic
118	vit_base_patch8_224.augreg2_in21k_ft_in1k	224	97.720	2.280	99.640	0.360	86.58	0.900	bicubic
119	seresnextaa101d_32x8d.sw_in12k_ft_in1k	224	97.720	2.280	99.620	0.380	93.59	1.000	bicubic
120	dm_nfnet_f6.dm_in1k	448	97.710	2.290	99.600	0.400	438.36	0.956	bicubic
121	beitv2_base_patch16_224.in1k_ft_in22k_in1k	224	97.700	2.300	99.680	0.320	86.53	0.900	bicubic
122	swinv2_base_window12to16_192to256.ms_in22k_ft_in1k	256	97.680	2.320	99.720	0.280	87.92	0.900	bicubic
123	volo_d4_448.sail_in1k	448	97.680	2.320	99.610	0.390	193.41	1.150	bicubic
124	rdnet_large.nv_in1k_ft_in1k_384	384	97.670	2.330	99.550	0.450	186.27	1.000	bicubic
125	regnety_1280.swag_lc_in1k	224	97.660	2.340	99.640	0.360	644.81	0.965	bicubic
126	convnextv2_large.fcmae_ft_in1k	288	97.660	2.340	99.600	0.400	197.96	1.000	bicubic
127	convnextv2_huge.fcmae_ft_in1k	224	97.650	2.350	99.570	0.430	660.29	1.000	bicubic
128	swin_large_patch4_window7_224.ms_in22k_ft_in1k	224	97.650	2.350	99.570	0.430	196.53	0.900	bicubic
129	coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k	224	97.640	2.360	99.570	0.430	73.88	0.950	bicubic
130	vit_mediumd_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	97.630	2.370	99.620	0.380	64.11	0.950	bicubic
131	vit_large_patch16_224.augreg_in21k_ft_in1k	224	97.630	2.370	99.590	0.410	304.33	0.900	bicubic
132	dm_nfnet_f4.dm_in1k	512	97.630	2.370	99.540	0.460	316.07	0.951	bicubic
133	convnext_small.fb_in22k_ft_in1k_384	384	97.620	2.380	99.600	0.400	50.22	1.000	bicubic
134	tf_efficientnet_b6.ns_jft_in1k	528	97.620	2.380	99.590	0.410	43.04	0.942	bicubic
135	caformer_s36.sail_in22k_ft_in1k	224	97.610	2.390	99.610	0.390	39.30	1.000	bicubic
136	tiny_vit_21m_384.dist_in22k_ft_in1k	384	97.610	2.390	99.590	0.410	21.23	1.000	bicubic
137	convnext_base.clip_laiona_augreg_ft_in1k_384	384	97.610	2.390	99.550	0.450	88.59	1.000	bicubic
138	convnext_base.clip_laion2b_augreg_ft_in12k_in1k	256	97.600	2.400	99.720	0.280	88.59	1.000	bicubic
139	vit_base_patch8_224.augreg_in21k_ft_in1k	224	97.600	2.400	99.670	0.330	86.58	0.900	bicubic
140	efficientvit_l3.r384_in1k	384	97.600	2.400	99.510	0.490	246.04	1.000	bicubic
141	convformer_m36.sail_in22k_ft_in1k	224	97.590	2.410	99.620	0.380	57.05	1.000	bicubic
142	maxvit_base_tf_384.in1k	384	97.590	2.410	99.590	0.410	119.65	1.000	bicubic
143	maxvit_large_tf_384.in1k	384	97.590	2.410	99.520	0.480	212.03	1.000	bicubic
144	maxvit_tiny_tf_512.in1k	512	97.580	2.420	99.560	0.440	31.05	1.000	bicubic
145	hgnetv2_b6.ssld_stage1_in22k_in1k	224	97.570	2.430	99.630	0.370	75.26	1.000	bicubic
146	volo_d3_448.sail_in1k	448	97.550	2.450	99.550	0.450	86.63	1.000	bicubic
147	vit_base_patch16_clip_384.openai_ft_in1k	384	97.540	2.460	99.670	0.330	86.86	1.000	bicubic
148	convformer_b36.sail_in1k_384	384	97.540	2.460	99.520	0.480	99.88	1.000	bicubic
149	vit_base_patch16_clip_224.openai_ft_in12k_in1k	224	97.540	2.460	99.500	0.500	86.57	0.950	bicubic
150	xcit_large_24_p16_384.fb_dist_in1k	384	97.540	2.460	99.480	0.520	189.10	1.000	bicubic
151	hgnetv2_b6.ssld_stage2_ft_in1k	224	97.530	2.470	99.630	0.370	75.26	1.000	bicubic
152	coatnet_2_rw_224.sw_in12k_ft_in1k	224	97.530	2.470	99.610	0.390	73.87	0.950	bicubic
153	xcit_large_24_p8_384.fb_dist_in1k	384	97.530	2.470	99.540	0.460	188.93	1.000	bicubic
154	tf_efficientnetv2_l.in1k	480	97.520	2.480	99.550	0.450	118.52	1.000	bicubic
155	tf_efficientnet_b5.ns_jft_in1k	456	97.500	2.500	99.640	0.360	30.39	0.934	bicubic
156	caformer_b36.sail_in1k_384	384	97.500	2.500	99.580	0.420	98.75	1.000	bicubic
157	convnextv2_large.fcmae_ft_in1k	224	97.490	2.510	99.600	0.400	197.96	1.000	bicubic
158	deit3_base_patch16_224.fb_in22k_ft_in1k	224	97.490	2.510	99.600	0.400	86.59	1.000	bicubic
159	regnety_160.sw_in12k_ft_in1k	288	97.490	2.510	99.590	0.410	83.59	1.000	bicubic
160	cait_m48_448.fb_dist_in1k	448	97.490	2.510	99.570	0.430	356.46	1.000	bicubic
161	dm_nfnet_f3.dm_in1k	416	97.480	2.520	99.560	0.440	254.92	0.940	bicubic
162	resnetv2_152x4_bit.goog_in21k_ft_in1k	480	97.470	2.530	99.640	0.360	936.53	1.000	bilinear
163	convnext_base.fb_in22k_ft_in1k	224	97.470	2.530	99.620	0.380	88.59	1.000	bicubic
164	dm_nfnet_f5.dm_in1k	416	97.470	2.530	99.520	0.480	377.21	0.954	bicubic
165	tf_efficientnetv2_l.in21k_ft_in1k	384	97.450	2.550	99.640	0.360	118.52	1.000	bicubic
166	vit_medium_patch16_gap_384.sw_in12k_ft_in1k	384	97.450	2.550	99.640	0.360	39.03	0.950	bicubic
167	regnety_160.lion_in12k_ft_in1k	288	97.450	2.550	99.620	0.380	83.59	1.000	bicubic
168	caformer_m36.sail_in1k_384	384	97.450	2.550	99.600	0.400	56.20	1.000	bicubic
169	caformer_s18.sail_in22k_ft_in1k_384	384	97.450	2.550	99.590	0.410	26.34	1.000	bicubic
170	vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	224	97.450	2.550	99.540	0.460	86.57	0.950	bicubic
171	hiera_large_224.mae_in1k_ft_in1k	224	97.440	2.560	99.460	0.540	213.74	0.900	bicubic
172	deit3_large_patch16_384.fb_in1k	384	97.430	2.570	99.620	0.380	304.76	1.000	bicubic
173	hgnet_base.ssld_in1k	288	97.420	2.580	99.620	0.380	71.58	1.000	bicubic
174	flexivit_large.1200ep_in1k	240	97.420	2.580	99.600	0.400	304.36	0.950	bicubic
175	caformer_s36.sail_in1k_384	384	97.400	2.600	99.540	0.460	39.30	1.000	bicubic
176	cait_m36_384.fb_dist_in1k	384	97.400	2.600	99.510	0.490	271.22	1.000	bicubic
177	maxvit_small_tf_384.in1k	384	97.400	2.600	99.500	0.500	69.02	1.000	bicubic
178	convformer_m36.sail_in1k_384	384	97.400	2.600	99.470	0.530	57.05	1.000	bicubic
179	tf_efficientnetv2_xl.in21k_ft_in1k	384	97.400	2.600	99.380	0.620	208.12	1.000	bicubic
180	efficientnet_b5.sw_in12k_ft_in1k	448	97.390	2.610	99.550	0.450	30.39	1.000	bicubic
181	efficientvit_l3.r320_in1k	320	97.390	2.610	99.390	0.610	246.04	1.000	bicubic
182	resnext101_32x32d.fb_wsl_ig1b_ft_in1k	224	97.380	2.620	99.680	0.320	468.53	0.875	bilinear
183	nextvit_large.bd_ssld_6m_in1k	224	97.380	2.620	99.670	0.330	57.87	0.950	bicubic
184	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	384	97.380	2.620	99.500	0.500	88.30	1.000	bicubic
185	hgnetv2_b5.ssld_stage2_ft_in1k	288	97.370	2.630	99.670	0.330	39.57	1.000	bicubic
186	volo_d5_224.sail_in1k	224	97.360	2.640	99.570	0.430	295.46	0.960	bicubic
187	convnext_small.in12k_ft_in1k	224	97.360	2.640	99.560	0.440	50.22	1.000	bicubic
188	efficientvit_l2.r384_in1k	384	97.360	2.640	99.440	0.560	63.71	1.000	bicubic
189	cait_s36_384.fb_dist_in1k	384	97.350	2.650	99.530	0.470	68.37	1.000	bicubic
190	convnext_small.fb_in22k_ft_in1k	288	97.350	2.650	99.530	0.470	50.22	1.000	bicubic
191	dm_nfnet_f4.dm_in1k	384	97.350	2.650	99.490	0.510	316.07	0.951	bicubic
192	convnext_small.in12k_ft_in1k	288	97.340	2.660	99.580	0.420	50.22	1.000	bicubic
193	vit_betwixt_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	97.340	2.660	99.490	0.510	60.40	0.950	bicubic
194	convnext_tiny.in12k_ft_in1k_384	384	97.330	2.670	99.600	0.400	28.59	1.000	bicubic
195	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	448	97.330	2.670	99.470	0.530	88.34	1.000	bicubic
196	volo_d2_384.sail_in1k	384	97.320	2.680	99.600	0.400	58.87	1.000	bicubic
197	maxvit_tiny_tf_384.in1k	384	97.310	2.690	99.500	0.500	30.98	1.000	bicubic
198	xcit_medium_24_p16_384.fb_dist_in1k	384	97.310	2.690	99.460	0.540	84.40	1.000	bicubic
199	volo_d4_224.sail_in1k	224	97.300	2.700	99.530	0.470	192.96	0.960	bicubic
200	xcit_medium_24_p8_384.fb_dist_in1k	384	97.300	2.700	99.510	0.490	84.32	1.000	bicubic
201	hgnetv2_b5.ssld_stage1_in22k_in1k	288	97.280	2.720	99.660	0.340	39.57	1.000	bicubic
202	nextvit_base.bd_ssld_6m_in1k	224	97.280	2.720	99.660	0.340	44.82	0.950	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	99.550	0.450	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	tf_efficientnetv2_l.in1k	384	97.280	2.720	99.500	0.500	118.52	1.000	bicubic
208	convformer_s36.sail_in1k_384	384	97.280	2.720	99.430	0.570	40.01	1.000	bicubic
209	convnext_base.clip_laion2b_augreg_ft_in1k	256	97.270	2.730	99.560	0.440	88.59	1.000	bicubic
210	regnety_120.sw_in12k_ft_in1k	288	97.270	2.730	99.540	0.460	51.82	1.000	bicubic
211	inception_next_base.sail_in1k_384	384	97.270	2.730	99.500	0.500	86.67	1.000	bicubic
212	flexivit_large.300ep_in1k	240	97.250	2.750	99.490	0.510	304.36	0.950	bicubic
213	convnextv2_base.fcmae_ft_in1k	288	97.240	2.760	99.550	0.450	88.72	1.000	bicubic
214	convnextv2_tiny.fcmae_ft_in22k_in1k_384	384	97.240	2.760	99.540	0.460	28.64	1.000	bicubic
215	regnety_2560.seer_ft_in1k	384	97.240	2.760	99.510	0.490	1,282.60	1.000	bicubic
216	tf_efficientnetv2_m.in1k	480	97.230	2.770	99.530	0.470	54.14	1.000	bicubic
217	xcit_small_12_p8_384.fb_dist_in1k	384	97.230	2.770	99.480	0.520	26.21	1.000	bicubic
218	resnext101_32x8d.fb_swsl_ig1b_ft_in1k	224	97.220	2.780	99.590	0.410	88.79	0.875	bilinear
219	regnetz_e8.ra3_in1k	320	97.220	2.780	99.500	0.500	57.70	1.000	bicubic
220	tf_efficientnet_b8.ra_in1k	672	97.210	2.790	99.500	0.500	87.41	0.954	bicubic
221	tf_efficientnet_b7.ap_in1k	600	97.200	2.800	99.540	0.460	66.35	0.949	bicubic
222	tiny_vit_21m_224.dist_in22k_ft_in1k	224	97.200	2.800	99.490	0.510	21.20	0.950	bicubic
223	tf_efficientnetv2_m.in21k_ft_in1k	384	97.200	2.800	99.470	0.530	54.14	1.000	bicubic
224	convnext_small.fb_in22k_ft_in1k	224	97.200	2.800	99.460	0.540	50.22	1.000	bicubic
225	dm_nfnet_f3.dm_in1k	320	97.190	2.810	99.540	0.460	254.92	0.940	bicubic
226	vit_base_patch16_224.augreg2_in21k_ft_in1k	224	97.190	2.810	99.540	0.460	86.57	0.900	bicubic
227	mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	480	97.180	2.820	99.560	0.440	32.59	1.000	bicubic
228	vit_base_r50_s16_384.orig_in21k_ft_in1k	384	97.180	2.820	99.560	0.440	98.95	1.000	bicubic
229	mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	544	97.170	2.830	99.580	0.420	32.59	1.000	bicubic
230	beitv2_base_patch16_224.in1k_ft_in1k	224	97.170	2.830	99.460	0.540	86.53	0.900	bicubic
231	vit_medium_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	97.170	2.830	99.390	0.610	38.88	0.950	bicubic
232	hgnet_base.ssld_in1k	224	97.160	2.840	99.560	0.440	71.58	1.000	bicubic
233	eva02_small_patch14_336.mim_in22k_ft_in1k	336	97.160	2.840	99.460	0.540	22.13	1.000	bicubic
234	regnety_320.swag_lc_in1k	224	97.150	2.850	99.670	0.330	145.05	0.965	bicubic
235	coat_lite_medium_384.in1k	384	97.150	2.850	99.450	0.550	44.57	1.000	bicubic
236	regnety_120.sw_in12k_ft_in1k	224	97.150	2.850	99.420	0.580	51.82	1.000	bicubic
237	regnety_160.lion_in12k_ft_in1k	224	97.140	2.860	99.490	0.510	83.59	1.000	bicubic
238	tf_efficientnet_b8.ap_in1k	672	97.130	2.870	99.660	0.340	87.41	0.954	bicubic
239	deit3_small_patch16_384.fb_in22k_ft_in1k	384	97.130	2.870	99.500	0.500	22.21	1.000	bicubic
240	xcit_small_24_p16_384.fb_dist_in1k	384	97.130	2.870	99.440	0.560	47.67	1.000	bicubic
241	vit_base_patch16_clip_224.laion2b_ft_in1k	224	97.120	2.880	99.460	0.540	86.57	1.000	bicubic
242	regnety_160.sw_in12k_ft_in1k	224	97.110	2.890	99.560	0.440	83.59	1.000	bicubic
243	dm_nfnet_f2.dm_in1k	352	97.110	2.890	99.510	0.490	193.78	0.920	bicubic
244	vit_base_patch32_clip_384.openai_ft_in12k_in1k	384	97.110	2.890	99.510	0.490	88.30	0.950	bicubic
245	convnext_tiny.fb_in22k_ft_in1k_384	384	97.110	2.890	99.500	0.500	28.59	1.000	bicubic
246	tf_efficientnet_b6.ap_in1k	528	97.100	2.900	99.610	0.390	43.04	0.942	bicubic
247	convnext_tiny.in12k_ft_in1k	288	97.100	2.900	99.520	0.480	28.59	1.000	bicubic
248	volo_d3_224.sail_in1k	224	97.100	2.900	99.460	0.540	86.33	0.960	bicubic
249	vit_base_patch16_clip_224.openai_ft_in1k	224	97.090	2.910	99.480	0.520	86.57	0.900	bicubic
250	ecaresnet269d.ra2_in1k	352	97.090	2.910	99.460	0.540	102.09	1.000	bicubic
251	convnext_large.fb_in1k	288	97.090	2.910	99.450	0.550	197.77	1.000	bicubic
252	convformer_s36.sail_in22k_ft_in1k	224	97.080	2.920	99.550	0.450	40.01	1.000	bicubic
253	eca_nfnet_l2.ra3_in1k	384	97.080	2.920	99.510	0.490	56.72	1.000	bicubic
254	caformer_s18.sail_in1k_384	384	97.080	2.920	99.430	0.570	26.34	1.000	bicubic
255	cait_s24_384.fb_dist_in1k	384	97.070	2.930	99.410	0.590	47.06	1.000	bicubic
256	dm_nfnet_f1.dm_in1k	320	97.070	2.930	99.390	0.610	132.63	0.910	bicubic
257	beit_base_patch16_224.in22k_ft_in22k_in1k	224	97.060	2.940	99.610	0.390	86.53	0.900	bicubic
258	efficientvit_l2.r288_in1k	288	97.060	2.940	99.370	0.630	63.71	1.000	bicubic
259	xcit_large_24_p8_224.fb_dist_in1k	224	97.050	2.950	99.420	0.580	188.93	1.000	bicubic
260	hrnet_w48_ssld.paddle_in1k	288	97.040	2.960	99.640	0.360	77.47	1.000	bilinear
261	convformer_s18.sail_in1k_384	384	97.040	2.960	99.380	0.620	26.77	1.000	bicubic
262	hgnetv2_b5.ssld_stage2_ft_in1k	224	97.030	2.970	99.630	0.370	39.57	1.000	bicubic
263	efficientvit_l3.r256_in1k	256	97.030	2.970	99.230	0.770	246.04	1.000	bicubic
264	resnetv2_152x2_bit.goog_in21k_ft_in1k	448	97.020	2.980	99.590	0.410	236.34	1.000	bilinear
265	nextvit_large.bd_in1k_384	384	97.020	2.980	99.510	0.490	57.87	1.000	bicubic
266	resnetv2_101x3_bit.goog_in21k_ft_in1k	448	97.010	2.990	99.490	0.510	387.93	1.000	bilinear
267	deit3_base_patch16_384.fb_in1k	384	97.010	2.990	99.370	0.630	86.88	1.000	bicubic
268	maxvit_large_tf_224.in1k	224	97.010	2.990	99.240	0.760	211.79	0.950	bicubic
269	efficientnetv2_rw_m.agc_in1k	416	97.000	3.000	99.530	0.470	53.24	1.000	bicubic
270	tf_efficientnet_b7.ra_in1k	600	97.000	3.000	99.520	0.480	66.35	0.949	bicubic
271	caformer_b36.sail_in1k	224	97.000	3.000	99.350	0.650	98.75	1.000	bicubic
272	efficientvit_l3.r224_in1k	224	97.000	3.000	99.270	0.730	246.04	1.000	bicubic
273	deit3_medium_patch16_224.fb_in22k_ft_in1k	224	96.990	3.010	99.430	0.570	38.85	1.000	bicubic
274	volo_d2_224.sail_in1k	224	96.990	3.010	99.390	0.610	58.68	0.960	bicubic
275	deit_base_distilled_patch16_384.fb_in1k	384	96.980	3.020	99.490	0.510	87.63	1.000	bicubic
276	deit3_large_patch16_224.fb_in1k	224	96.980	3.020	99.330	0.670	304.37	0.900	bicubic
277	maxvit_base_tf_224.in1k	224	96.980	3.020	99.280	0.720	119.47	0.950	bicubic
278	nextvit_small.bd_ssld_6m_in1k	224	96.960	3.040	99.490	0.510	31.76	0.950	bicubic
279	seresnextaa101d_32x8d.ah_in1k	288	96.960	3.040	99.390	0.610	93.59	1.000	bicubic
280	tf_efficientnet_b4.ns_jft_in1k	380	96.950	3.050	99.580	0.420	19.34	0.922	bicubic
281	xcit_small_12_p16_384.fb_dist_in1k	384	96.950	3.050	99.400	0.600	26.25	1.000	bicubic
282	ecaresnet269d.ra2_in1k	320	96.950	3.050	99.380	0.620	102.09	1.000	bicubic
283	mvitv2_large.fb_in1k	224	96.940	3.060	99.400	0.600	217.99	0.900	bicubic
284	hiera_base_plus_224.mae_in1k_ft_in1k	224	96.940	3.060	99.340	0.660	69.90	0.900	bicubic
285	hgnet_small.ssld_in1k	288	96.930	3.070	99.560	0.440	24.36	1.000	bicubic
286	volo_d1_384.sail_in1k	384	96.930	3.070	99.520	0.480	26.78	1.000	bicubic
287	xcit_medium_24_p8_224.fb_dist_in1k	224	96.930	3.070	99.380	0.620	84.32	1.000	bicubic
288	davit_base.msft_in1k	224	96.930	3.070	99.250	0.750	87.95	0.950	bicubic
289	resnetrs420.tf_in1k	416	96.920	3.080	99.460	0.540	191.89	1.000	bicubic
290	convnextv2_base.fcmae_ft_in1k	224	96.920	3.080	99.430	0.570	88.72	1.000	bicubic
291	rdnet_large.nv_in1k	224	96.920	3.080	99.400	0.600	186.27	0.900	bicubic
292	nextvit_base.bd_in1k_384	384	96.910	3.090	99.400	0.600	44.82	1.000	bicubic
293	convformer_b36.sail_in1k	224	96.910	3.090	99.220	0.780	99.88	1.000	bicubic
294	deit3_huge_patch14_224.fb_in1k	224	96.900	3.100	99.480	0.520	632.13	0.900	bicubic
295	mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	448	96.900	3.100	99.410	0.590	32.59	1.000	bicubic
296	convnext_large.fb_in1k	224	96.900	3.100	99.330	0.670	197.77	1.000	bicubic
297	xcit_small_24_p8_224.fb_dist_in1k	224	96.890	3.110	99.480	0.520	47.63	1.000	bicubic
298	caformer_m36.sail_in1k	224	96.890	3.110	99.440	0.560	56.20	1.000	bicubic
299	resnext101_32x16d.fb_wsl_ig1b_ft_in1k	224	96.880	3.120	99.590	0.410	194.03	0.875	bilinear
300	hgnetv2_b5.ssld_stage1_in22k_in1k	224	96.880	3.120	99.570	0.430	39.57	1.000	bicubic
301	vit_base_patch16_224.augreg_in21k_ft_in1k	224	96.880	3.120	99.530	0.470	86.57	0.900	bicubic
302	eca_nfnet_l2.ra3_in1k	320	96.870	3.130	99.400	0.600	56.72	1.000	bicubic
303	regnety_1280.seer_ft_in1k	384	96.870	3.130	99.390	0.610	644.81	1.000	bicubic
304	hgnetv2_b4.ssld_stage2_ft_in1k	288	96.860	3.140	99.530	0.470	19.80	1.000	bicubic
305	rexnetr_300.sw_in12k_ft_in1k	288	96.860	3.140	99.520	0.480	34.81	1.000	bicubic
306	efficientvit_l2.r256_in1k	256	96.850	3.150	99.320	0.680	63.71	1.000	bicubic
307	mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	384	96.850	3.150	99.270	0.730	32.59	1.000	bicubic
308	convnextv2_tiny.fcmae_ft_in22k_in1k	288	96.840	3.160	99.450	0.550	28.64	1.000	bicubic
309	efficientvit_l2.r224_in1k	224	96.840	3.160	99.250	0.750	63.71	1.000	bicubic
310	regnety_160.swag_lc_in1k	224	96.830	3.170	99.660	0.340	83.59	0.965	bicubic
311	regnety_640.seer_ft_in1k	384	96.830	3.170	99.400	0.600	281.38	1.000	bicubic
312	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	384	96.820	3.180	99.460	0.540	236.34	1.000	bicubic
313	convnext_base.fb_in1k	288	96.820	3.180	99.420	0.580	88.59	1.000	bicubic
314	regnetz_e8.ra3_in1k	256	96.820	3.180	99.390	0.610	57.70	1.000	bicubic
315	xcit_large_24_p16_224.fb_dist_in1k	224	96.820	3.180	99.370	0.630	189.10	1.000	bicubic
316	nextvit_small.bd_in1k_384	384	96.820	3.180	99.320	0.680	31.76	1.000	bicubic
317	tf_efficientnetv2_m.in1k	384	96.810	3.190	99.420	0.580	54.14	1.000	bicubic
318	seresnet152d.ra2_in1k	320	96.800	3.200	99.450	0.550	66.84	1.000	bicubic
319	fastvit_ma36.apple_dist_in1k	256	96.800	3.200	99.310	0.690	44.07	0.950	bicubic
320	maxxvit_rmlp_small_rw_256.sw_in1k	256	96.790	3.210	99.370	0.630	66.01	0.950	bicubic
321	resnetrs350.tf_in1k	384	96.790	3.210	99.340	0.660	163.96	1.000	bicubic
322	vit_large_r50_s32_224.augreg_in21k_ft_in1k	224	96.790	3.210	99.330	0.670	328.99	0.900	bicubic
323	seresnext101_32x8d.ah_in1k	288	96.780	3.220	99.350	0.650	93.57	1.000	bicubic
324	swinv2_base_window16_256.ms_in1k	256	96.770	3.230	99.330	0.670	87.92	0.900	bicubic
325	mvitv2_base.fb_in1k	224	96.770	3.230	99.250	0.750	51.47	0.900	bicubic
326	flexivit_base.1200ep_in1k	240	96.760	3.240	99.360	0.640	86.59	0.950	bicubic
327	tf_efficientnetv2_s.in21k_ft_in1k	384	96.750	3.250	99.420	0.580	21.46	1.000	bicubic
328	xcit_small_12_p8_224.fb_dist_in1k	224	96.750	3.250	99.370	0.630	26.21	1.000	bicubic
329	edgenext_base.in21k_ft_in1k	320	96.740	3.260	99.420	0.580	18.51	1.000	bicubic
330	dm_nfnet_f2.dm_in1k	256	96.740	3.260	99.310	0.690	193.78	0.920	bicubic
331	eca_nfnet_l1.ra2_in1k	320	96.740	3.260	99.290	0.710	41.41	1.000	bicubic
332	resnetv2_50x3_bit.goog_in21k_ft_in1k	448	96.730	3.270	99.530	0.470	217.32	1.000	bilinear
333	hgnetv2_b4.ssld_stage1_in22k_in1k	288	96.730	3.270	99.520	0.480	19.80	1.000	bicubic
334	resnet200d.ra2_in1k	320	96.730	3.270	99.340	0.660	64.69	1.000	bicubic
335	regnetz_040_h.ra3_in1k	320	96.720	3.280	99.500	0.500	28.94	1.000	bicubic
336	edgenext_base.usi_in1k	320	96.720	3.280	99.430	0.570	18.51	1.000	bicubic
337	caformer_s36.sail_in1k	224	96.720	3.280	99.380	0.620	39.30	1.000	bicubic
338	seresnext101d_32x8d.ah_in1k	288	96.720	3.280	99.370	0.630	93.59	1.000	bicubic
339	resnetrs200.tf_in1k	320	96.720	3.280	99.360	0.640	93.21	1.000	bicubic
340	vit_base_patch16_384.orig_in21k_ft_in1k	384	96.710	3.290	99.510	0.490	86.86	1.000	bicubic
341	caformer_s18.sail_in22k_ft_in1k	224	96.710	3.290	99.480	0.520	26.34	1.000	bicubic
342	regnetz_040.ra3_in1k	320	96.710	3.290	99.480	0.520	27.12	1.000	bicubic
343	vit_small_patch16_384.augreg_in21k_ft_in1k	384	96.710	3.290	99.480	0.520	22.20	1.000	bicubic
344	resnetrs270.tf_in1k	352	96.710	3.290	99.350	0.650	129.86	1.000	bicubic
345	mobilenetv4_hybrid_large.e600_r384_in1k	448	96.700	3.300	99.390	0.610	37.76	1.000	bicubic
346	rdnet_base.nv_in1k	224	96.700	3.300	99.240	0.760	87.45	0.900	bicubic
347	vit_small_r26_s32_384.augreg_in21k_ft_in1k	384	96.690	3.310	99.580	0.420	36.47	1.000	bicubic
348	convnext_tiny.in12k_ft_in1k	224	96.690	3.310	99.450	0.550	28.59	1.000	bicubic
349	tf_efficientnet_b5.ap_in1k	456	96.690	3.310	99.450	0.550	30.39	0.934	bicubic
350	maxvit_small_tf_224.in1k	224	96.690	3.310	99.370	0.630	68.93	0.950	bicubic
351	convformer_m36.sail_in1k	224	96.690	3.310	99.070	0.930	57.05	1.000	bicubic
352	vit_medium_patch16_gap_256.sw_in12k_ft_in1k	256	96.680	3.320	99.500	0.500	38.86	0.950	bicubic
353	repvgg_d2se.rvgg_in1k	320	96.680	3.320	99.370	0.630	133.33	1.000	bilinear
354	tf_efficientnet_b6.aa_in1k	528	96.680	3.320	99.370	0.630	43.04	0.942	bicubic
355	rexnetr_300.sw_in12k_ft_in1k	224	96.680	3.320	99.310	0.690	34.81	1.000	bicubic
356	resnetrs350.tf_in1k	288	96.680	3.320	99.290	0.710	163.96	1.000	bicubic
357	resnetaa101d.sw_in12k_ft_in1k	288	96.670	3.330	99.360	0.640	44.57	1.000	bicubic
358	deit3_small_patch16_224.fb_in22k_ft_in1k	224	96.670	3.330	99.330	0.670	22.06	1.000	bicubic
359	coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k	224	96.670	3.330	99.160	0.840	41.72	0.950	bicubic
360	davit_small.msft_in1k	224	96.640	3.360	99.370	0.630	49.75	0.950	bicubic
361	regnetz_d8.ra3_in1k	320	96.630	3.370	99.460	0.540	23.37	1.000	bicubic
362	efficientvit_b3.r288_in1k	288	96.630	3.370	99.220	0.780	48.65	1.000	bicubic
363	resnext101_32x16d.fb_swsl_ig1b_ft_in1k	224	96.620	3.380	99.540	0.460	194.03	0.875	bilinear
364	flexivit_base.600ep_in1k	240	96.620	3.380	99.330	0.670	86.59	0.950	bicubic
365	convnext_base.fb_in1k	224	96.620	3.380	99.310	0.690	88.59	1.000	bicubic
366	flexivit_base.300ep_in1k	240	96.620	3.380	99.280	0.720	86.59	0.950	bicubic
367	xcit_medium_24_p16_224.fb_dist_in1k	224	96.620	3.380	99.280	0.720	84.40	1.000	bicubic
368	resnest200e.in1k	320	96.610	3.390	99.350	0.650	70.20	0.909	bicubic
369	convformer_s18.sail_in22k_ft_in1k	224	96.610	3.390	99.340	0.660	26.77	1.000	bicubic
370	vit_mediumd_patch16_rope_reg1_gap_256.sbb_in1k	256	96.610	3.390	99.210	0.790	63.95	0.950	bicubic
371	resmlp_big_24_224.fb_in22k_ft_in1k	224	96.600	3.400	99.500	0.500	129.14	0.875	bicubic
372	regnetz_d32.ra3_in1k	320	96.600	3.400	99.380	0.620	27.58	0.950	bicubic
373	resnetrs420.tf_in1k	320	96.600	3.400	99.300	0.700	191.89	1.000	bicubic
374	mobilenetv4_hybrid_large.ix_e600_r384_in1k	448	96.600	3.400	99.290	0.710	37.76	1.000	bicubic
375	hgnetv2_b4.ssld_stage2_ft_in1k	224	96.590	3.410	99.330	0.670	19.80	1.000	bicubic
376	hiera_base_224.mae_in1k_ft_in1k	224	96.590	3.410	99.320	0.680	51.52	0.900	bicubic
377	focalnet_base_srf.ms_in1k	224	96.590	3.410	99.160	0.840	88.15	0.900	bicubic
378	efficientnetv2_rw_m.agc_in1k	320	96.580	3.420	99.470	0.530	53.24	1.000	bicubic
379	xcit_tiny_24_p8_384.fb_dist_in1k	384	96.580	3.420	99.320	0.680	12.11	1.000	bicubic
380	swin_base_patch4_window12_384.ms_in1k	384	96.580	3.420	99.260	0.740	87.90	1.000	bicubic
381	convformer_s36.sail_in1k	224	96.580	3.420	99.160	0.840	40.01	1.000	bicubic
382	regnetz_d8_evos.ch_in1k	320	96.570	3.430	99.460	0.540	23.46	1.000	bicubic
383	cait_xs24_384.fb_dist_in1k	384	96.570	3.430	99.430	0.570	26.67	1.000	bicubic
384	efficientnetv2_rw_s.ra2_in1k	384	96.560	3.440	99.350	0.650	23.94	1.000	bicubic
385	convnext_small.fb_in1k	288	96.560	3.440	99.340	0.660	50.22	1.000	bicubic
386	resnetrs152.tf_in1k	320	96.560	3.440	99.240	0.760	86.62	1.000	bicubic
387	gcvit_base.in1k	224	96.560	3.440	99.230	0.770	90.32	0.875	bicubic
388	maxvit_rmlp_small_rw_224.sw_in1k	224	96.560	3.440	99.130	0.870	64.90	0.900	bicubic
389	swin_small_patch4_window7_224.ms_in22k_ft_in1k	224	96.550	3.450	99.410	0.590	49.61	0.900	bicubic
390	convnextv2_tiny.fcmae_ft_in22k_in1k	224	96.550	3.450	99.340	0.660	28.64	1.000	bicubic
391	swinv2_base_window8_256.ms_in1k	256	96.550	3.450	99.280	0.720	87.92	0.900	bicubic
392	inception_next_base.sail_in1k	224	96.550	3.450	99.090	0.910	86.67	0.950	bicubic
393	tf_efficientnet_b7.aa_in1k	600	96.540	3.460	99.310	0.690	66.35	0.949	bicubic
394	crossvit_18_dagger_408.in1k	408	96.540	3.460	99.270	0.730	44.61	1.000	bicubic
395	coatnet_rmlp_2_rw_224.sw_in1k	224	96.530	3.470	99.080	0.920	73.88	0.950	bicubic
396	convnext_tiny.fb_in22k_ft_in1k	224	96.520	3.480	99.380	0.620	28.59	1.000	bicubic
397	resnest269e.in1k	416	96.520	3.480	99.370	0.630	110.93	0.928	bicubic
398	regnety_080.ra3_in1k	288	96.520	3.480	99.330	0.670	39.18	1.000	bicubic
399	vit_base_patch32_384.augreg_in21k_ft_in1k	384	96.500	3.500	99.410	0.590	88.30	1.000	bicubic
400	edgenext_base.in21k_ft_in1k	256	96.500	3.500	99.380	0.620	18.51	1.000	bicubic
401	fastvit_ma36.apple_in1k	256	96.500	3.500	99.300	0.700	44.07	0.950	bicubic
402	hrnet_w48_ssld.paddle_in1k	224	96.490	3.510	99.390	0.610	77.47	1.000	bilinear
403	hgnet_small.ssld_in1k	224	96.480	3.520	99.450	0.550	24.36	1.000	bicubic
404	edgenext_base.usi_in1k	256	96.480	3.520	99.420	0.580	18.51	1.000	bicubic
405	regnetz_040.ra3_in1k	256	96.480	3.520	99.390	0.610	27.12	1.000	bicubic
406	resnetaa101d.sw_in12k_ft_in1k	224	96.480	3.520	99.230	0.770	44.57	1.000	bicubic
407	tf_efficientnet_b5.aa_in1k	456	96.480	3.520	99.230	0.770	30.39	0.934	bicubic
408	focalnet_base_lrf.ms_in1k	224	96.480	3.520	99.130	0.870	88.75	0.900	bicubic
409	swinv2_small_window16_256.ms_in1k	256	96.470	3.530	99.210	0.790	49.73	0.900	bicubic
410	coat_lite_medium.in1k	224	96.470	3.530	99.160	0.840	44.57	0.900	bicubic
411	seresnet152d.ra2_in1k	256	96.460	3.540	99.370	0.630	66.84	1.000	bicubic
412	resmlp_big_24_224.fb_distilled_in1k	224	96.460	3.540	99.320	0.680	129.14	0.875	bicubic
413	mobilenetv4_conv_aa_large.e600_r384_in1k	480	96.460	3.540	99.300	0.700	32.59	1.000	bicubic
414	mobilenetv4_hybrid_large.ix_e600_r384_in1k	384	96.460	3.540	99.210	0.790	37.76	1.000	bicubic
415	vit_base_patch16_224_miil.in21k_ft_in1k	224	96.450	3.550	99.310	0.690	86.54	0.875	bilinear
416	resnext101_32x4d.fb_swsl_ig1b_ft_in1k	224	96.440	3.560	99.480	0.520	44.18	0.875	bilinear
417	cs3se_edgenet_x.c2ns_in1k	320	96.440	3.560	99.410	0.590	50.72	1.000	bicubic
418	regnetv_064.ra3_in1k	288	96.440	3.560	99.370	0.630	30.58	1.000	bicubic
419	xcit_small_24_p8_224.fb_in1k	224	96.430	3.570	99.130	0.870	47.63	1.000	bicubic
420	maxvit_rmlp_tiny_rw_256.sw_in1k	256	96.420	3.580	99.390	0.610	29.15	0.950	bicubic
421	mobilenetv4_hybrid_large.e600_r384_in1k	384	96.420	3.580	99.300	0.700	37.76	1.000	bicubic
422	vit_medium_patch16_rope_reg1_gap_256.sbb_in1k	256	96.420	3.580	99.260	0.740	38.74	0.950	bicubic
423	vit_base_patch16_rope_reg1_gap_256.sbb_in1k	256	96.420	3.580	99.120	0.880	86.43	0.950	bicubic
424	seresnext101_32x8d.ah_in1k	224	96.420	3.580	99.100	0.900	93.57	1.000	bicubic
425	crossvit_15_dagger_408.in1k	408	96.410	3.590	99.150	0.850	28.50	1.000	bicubic
426	eca_nfnet_l1.ra2_in1k	256	96.400	3.600	99.270	0.730	41.41	1.000	bicubic
427	cait_s24_224.fb_dist_in1k	224	96.400	3.600	99.150	0.850	46.92	1.000	bicubic
428	xcit_large_24_p8_224.fb_in1k	224	96.400	3.600	99.000	1.000	188.93	1.000	bicubic
429	resnetrs270.tf_in1k	256	96.390	3.610	99.230	0.770	129.86	1.000	bicubic
430	vit_medium_patch16_reg4_gap_256.sbb_in1k	256	96.390	3.610	99.210	0.790	38.88	0.950	bicubic
431	resnet152d.ra2_in1k	320	96.380	3.620	99.390	0.610	60.21	1.000	bicubic
432	tf_efficientnet_b3.ns_jft_in1k	300	96.380	3.620	99.350	0.650	12.23	0.904	bicubic
433	tf_efficientnet_b5.ra_in1k	456	96.380	3.620	99.320	0.680	30.39	0.934	bicubic
434	nextvit_large.bd_in1k	224	96.370	3.630	99.340	0.660	57.87	0.950	bicubic
435	dm_nfnet_f0.dm_in1k	256	96.370	3.630	99.330	0.670	71.49	0.900	bicubic
436	vit_little_patch16_reg1_gap_256.sbb_in12k_ft_in1k	256	96.370	3.630	99.320	0.680	22.52	0.950	bicubic
437	regnety_064.ra3_in1k	288	96.370	3.630	99.220	0.780	30.58	1.000	bicubic
438	seresnextaa101d_32x8d.ah_in1k	224	96.370	3.630	99.210	0.790	93.59	1.000	bicubic
439	pvt_v2_b4.in1k	224	96.370	3.630	99.180	0.820	62.56	0.900	bicubic
440	regnety_160.deit_in1k	288	96.360	3.640	99.330	0.670	83.59	1.000	bicubic
441	regnetz_d8.ra3_in1k	256	96.360	3.640	99.250	0.750	23.37	1.000	bicubic
442	xception65.ra3_in1k	299	96.360	3.640	99.240	0.760	39.92	0.940	bicubic
443	resnet200d.ra2_in1k	256	96.360	3.640	99.220	0.780	64.69	1.000	bicubic
444	vit_betwixt_patch16_rope_reg4_gap_256.sbb_in1k	256	96.360	3.640	99.170	0.830	60.23	0.950	bicubic
445	hgnetv2_b3.ssld_stage2_ft_in1k	288	96.350	3.650	99.470	0.530	16.29	1.000	bicubic
446	convnextv2_nano.fcmae_ft_in22k_in1k_384	384	96.350	3.650	99.390	0.610	15.62	1.000	bicubic
447	hgnetv2_b4.ssld_stage1_in22k_in1k	224	96.350	3.650	99.390	0.610	19.80	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	fastvit_sa36.apple_dist_in1k	256	96.350	3.650	99.250	0.750	31.53	0.900	bicubic
450	dm_nfnet_f1.dm_in1k	224	96.350	3.650	99.220	0.780	132.63	0.910	bicubic
451	mvitv2_small.fb_in1k	224	96.350	3.650	99.220	0.780	34.87	0.900	bicubic
452	vit_medium_patch16_reg1_gap_256.sbb_in1k	256	96.350	3.650	99.220	0.780	38.88	0.950	bicubic
453	pvt_v2_b5.in1k	224	96.350	3.650	99.170	0.830	81.96	0.900	bicubic
454	efficientvit_b3.r256_in1k	256	96.350	3.650	99.110	0.890	48.65	1.000	bicubic
455	regnety_320.seer_ft_in1k	384	96.340	3.660	99.350	0.650	145.05	1.000	bicubic
456	tf_efficientnetv2_s.in1k	384	96.340	3.660	99.200	0.800	21.46	1.000	bicubic
457	regnetz_040_h.ra3_in1k	256	96.330	3.670	99.300	0.700	28.94	1.000	bicubic
458	hiera_small_224.mae_in1k_ft_in1k	224	96.330	3.670	99.170	0.830	35.01	0.900	bicubic
459	efficientvit_l1.r224_in1k	224	96.330	3.670	99.050	0.950	52.65	1.000	bicubic
460	mobilenetv4_hybrid_medium.ix_e550_r384_in1k	448	96.320	3.680	99.330	0.670	11.07	1.000	bicubic
461	volo_d1_224.sail_in1k	224	96.320	3.680	99.310	0.690	26.63	0.960	bicubic
462	tf_efficientnetv2_s.in21k_ft_in1k	300	96.320	3.680	99.240	0.760	21.46	1.000	bicubic
463	rdnet_small.nv_in1k	224	96.320	3.680	99.200	0.800	50.44	0.900	bicubic
464	swinv2_small_window8_256.ms_in1k	256	96.320	3.680	99.200	0.800	49.73	0.900	bicubic
465	seresnext101d_32x8d.ah_in1k	224	96.310	3.690	99.200	0.800	93.59	1.000	bicubic
466	resnext101_32x8d.fb_wsl_ig1b_ft_in1k	224	96.300	3.700	99.420	0.580	88.79	0.875	bilinear
467	resnet101d.ra2_in1k	320	96.300	3.700	99.230	0.770	44.57	1.000	bicubic
468	deit3_base_patch16_224.fb_in1k	224	96.290	3.710	99.210	0.790	86.59	0.900	bicubic
469	tiny_vit_11m_224.dist_in22k_ft_in1k	224	96.280	3.720	99.190	0.810	11.00	0.950	bicubic
470	hgnetv2_b3.ssld_stage1_in22k_in1k	288	96.270	3.730	99.480	0.520	16.29	1.000	bicubic
471	swin_s3_base_224.ms_in1k	224	96.270	3.730	99.160	0.840	71.13	0.900	bicubic
472	gcvit_small.in1k	224	96.270	3.730	99.150	0.850	51.09	0.875	bicubic
473	twins_svt_large.in1k	224	96.260	3.740	99.170	0.830	99.27	0.900	bicubic
474	hgnet_tiny.ssld_in1k	288	96.250	3.750	99.420	0.580	14.74	1.000	bicubic
475	nextvit_base.bd_in1k	224	96.250	3.750	99.260	0.740	44.82	0.950	bicubic
476	inception_next_small.sail_in1k	224	96.250	3.750	99.230	0.770	49.37	0.875	bicubic
477	nest_base_jx.goog_in1k	224	96.250	3.750	99.220	0.780	67.72	0.875	bicubic
478	mobilenetv4_conv_large.e600_r384_in1k	448	96.240	3.760	99.310	0.690	32.59	1.000	bicubic
479	regnetz_d8_evos.ch_in1k	256	96.240	3.760	99.270	0.730	23.46	1.000	bicubic
480	fastvit_sa36.apple_in1k	256	96.240	3.760	99.170	0.830	31.53	0.900	bicubic
481	maxvit_tiny_rw_224.sw_in1k	224	96.240	3.760	99.120	0.880	29.06	0.950	bicubic
482	pit_b_distilled_224.in1k	224	96.240	3.760	99.120	0.880	74.79	0.900	bicubic
483	vit_betwixt_patch16_reg1_gap_256.sbb_in1k	256	96.240	3.760	99.100	0.900	60.40	0.950	bicubic
484	swin_s3_small_224.ms_in1k	224	96.240	3.760	99.070	0.930	49.74	0.900	bicubic
485	rexnetr_200.sw_in12k_ft_in1k	288	96.230	3.770	99.260	0.740	16.52	1.000	bicubic
486	ecaresnet101d.miil_in1k	288	96.220	3.780	99.310	0.690	44.57	0.950	bicubic
487	tf_efficientnetv2_b3.in21k_ft_in1k	300	96.220	3.780	99.250	0.750	14.36	0.900	bicubic
488	resnet152.a1h_in1k	288	96.220	3.780	99.230	0.770	60.19	1.000	bicubic
489	xcit_small_24_p16_224.fb_dist_in1k	224	96.220	3.780	99.210	0.790	47.67	1.000	bicubic
490	swinv2_cr_small_ns_224.sw_in1k	224	96.220	3.780	99.130	0.870	49.70	0.900	bicubic
491	deit3_small_patch16_384.fb_in1k	384	96.210	3.790	99.270	0.730	22.21	1.000	bicubic
492	resnetrs200.tf_in1k	256	96.210	3.790	99.250	0.750	93.21	1.000	bicubic
493	convnextv2_tiny.fcmae_ft_in1k	288	96.210	3.790	99.240	0.760	28.64	1.000	bicubic
494	xception65p.ra3_in1k	299	96.210	3.790	99.180	0.820	39.82	0.940	bicubic
495	regnetz_d32.ra3_in1k	256	96.200	3.800	99.290	0.710	27.58	0.950	bicubic
496	mobilevitv2_175.cvnets_in22k_ft_in1k_384	384	96.200	3.800	99.130	0.870	14.25	1.000	bicubic
497	tiny_vit_21m_224.in1k	224	96.200	3.800	99.130	0.870	21.20	0.950	bicubic
498	regnetv_040.ra3_in1k	288	96.190	3.810	99.320	0.680	20.64	1.000	bicubic
499	gcvit_tiny.in1k	224	96.190	3.810	99.230	0.770	28.22	0.875	bicubic
500	focalnet_small_lrf.ms_in1k	224	96.190	3.810	99.190	0.810	50.34	0.900	bicubic
501	hgnetv2_b2.ssld_stage2_ft_in1k	288	96.180	3.820	99.430	0.570	11.22	1.000	bicubic
502	repvit_m2_3.dist_300e_in1k	224	96.180	3.820	99.340	0.660	23.69	0.950	bicubic
503	tf_efficientnet_b4.ap_in1k	380	96.180	3.820	99.270	0.730	19.34	0.922	bicubic
504	deit_base_patch16_384.fb_in1k	384	96.180	3.820	99.150	0.850	86.86	1.000	bicubic
505	regnetz_c16_evos.ch_in1k	320	96.170	3.830	99.380	0.620	13.49	0.950	bicubic
506	resnet152d.ra2_in1k	256	96.170	3.830	99.270	0.730	60.21	1.000	bicubic
507	twins_svt_base.in1k	224	96.170	3.830	99.070	0.930	56.07	0.900	bicubic
508	caformer_s18.sail_in1k	224	96.170	3.830	98.990	1.010	26.34	1.000	bicubic
509	tresnet_v2_l.miil_in21k_ft_in1k	224	96.160	3.840	99.250	0.750	46.17	0.875	bilinear
510	fastvit_sa24.apple_dist_in1k	256	96.160	3.840	99.210	0.790	21.55	0.900	bicubic
511	twins_pcpvt_large.in1k	224	96.160	3.840	99.200	0.800	60.99	0.900	bicubic
512	efficientnetv2_rw_s.ra2_in1k	288	96.160	3.840	99.150	0.850	23.94	1.000	bicubic
513	mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	320	96.150	3.850	99.200	0.800	11.07	1.000	bicubic
514	resnetv2_101.a1h_in1k	288	96.150	3.850	99.160	0.840	44.54	1.000	bicubic
515	sequencer2d_l.in1k	224	96.150	3.850	99.160	0.840	54.30	0.875	bicubic
516	tf_efficientnetv2_s.in1k	300	96.150	3.850	99.090	0.910	21.46	1.000	bicubic
517	maxvit_tiny_tf_224.in1k	224	96.140	3.860	99.250	0.750	30.92	0.950	bicubic
518	efficientnet_b4.ra2_in1k	384	96.140	3.860	99.200	0.800	19.34	1.000	bicubic
519	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	224	96.130	3.870	99.290	0.710	236.34	0.875	bicubic
520	nfnet_l0.ra2_in1k	288	96.130	3.870	99.240	0.760	35.07	1.000	bicubic
521	resnext101_64x4d.c1_in1k	288	96.130	3.870	99.230	0.770	83.46	1.000	bicubic
522	efficientformer_l7.snap_dist_in1k	224	96.120	3.880	99.270	0.730	82.23	0.950	bicubic
523	vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	224	96.120	3.880	99.200	0.800	88.22	0.900	bicubic
524	convnext_small.fb_in1k	224	96.120	3.880	99.170	0.830	50.22	1.000	bicubic
525	xcit_medium_24_p8_224.fb_in1k	224	96.120	3.880	98.890	1.110	84.32	1.000	bicubic
526	xcit_small_12_p8_224.fb_in1k	224	96.110	3.890	99.170	0.830	26.21	1.000	bicubic
527	resnetv2_101x1_bit.goog_in21k_ft_in1k	448	96.100	3.900	99.280	0.720	44.54	1.000	bilinear
528	resnetv2_50x1_bit.goog_distilled_in1k	224	96.100	3.900	99.270	0.730	25.55	0.875	bicubic
529	regnetv_064.ra3_in1k	224	96.100	3.900	99.260	0.740	30.58	1.000	bicubic
530	regnety_320.tv2_in1k	224	96.100	3.900	99.240	0.760	145.05	0.965	bicubic
531	deit_base_distilled_patch16_224.fb_in1k	224	96.100	3.900	99.190	0.810	87.34	0.900	bicubic
532	focalnet_small_srf.ms_in1k	224	96.090	3.910	99.160	0.840	49.89	0.900	bicubic
533	vit_betwixt_patch16_reg4_gap_256.sbb_in1k	256	96.090	3.910	99.150	0.850	60.40	0.950	bicubic
534	swin_base_patch4_window7_224.ms_in1k	224	96.090	3.910	99.040	0.960	87.77	0.900	bicubic
535	swinv2_cr_small_224.sw_in1k	224	96.090	3.910	98.870	1.130	49.70	0.900	bicubic
536	tf_efficientnet_b5.in1k	456	96.080	3.920	99.300	0.700	30.39	0.934	bicubic
537	deit3_medium_patch16_224.fb_in1k	224	96.080	3.920	99.200	0.800	38.85	0.900	bicubic
538	convnextv2_nano.fcmae_ft_in22k_in1k	288	96.060	3.940	99.220	0.780	15.62	1.000	bicubic
539	efficientformerv2_l.snap_dist_in1k	224	96.060	3.940	99.200	0.800	26.32	0.950	bicubic
540	efficientnet_b4.ra2_in1k	320	96.060	3.940	99.140	0.860	19.34	1.000	bicubic
541	cs3edgenet_x.c2_in1k	288	96.050	3.950	99.130	0.870	47.82	1.000	bicubic
542	xcit_tiny_12_p8_384.fb_dist_in1k	384	96.050	3.950	99.130	0.870	6.71	1.000	bicubic
543	resnet101.a1h_in1k	288	96.040	3.960	99.150	0.850	44.55	1.000	bicubic
544	cs3sedarknet_x.c2ns_in1k	288	96.040	3.960	99.110	0.890	35.40	1.000	bicubic
545	resnetrs152.tf_in1k	256	96.040	3.960	99.100	0.900	86.62	1.000	bicubic
546	maxxvit_rmlp_nano_rw_256.sw_in1k	256	96.030	3.970	99.260	0.740	16.78	0.950	bicubic
547	resnext101_64x4d.tv_in1k	224	96.030	3.970	99.160	0.840	83.46	0.875	bilinear
548	mobilevitv2_200.cvnets_in22k_ft_in1k_384	384	96.030	3.970	99.140	0.860	18.45	1.000	bicubic
549	coatnet_1_rw_224.sw_in1k	224	96.030	3.970	99.050	0.950	41.72	0.950	bicubic
550	xcit_small_12_p16_224.fb_dist_in1k	224	96.020	3.980	99.150	0.850	26.25	1.000	bicubic
551	efficientvit_b3.r224_in1k	224	96.020	3.980	98.920	1.080	48.65	0.950	bicubic
552	convnext_tiny_hnf.a2h_in1k	288	96.010	3.990	99.080	0.920	28.59	1.000	bicubic
553	regnety_040.ra3_in1k	288	96.000	4.000	99.200	0.800	20.65	1.000	bicubic
554	pvt_v2_b3.in1k	224	96.000	4.000	99.190	0.810	45.24	0.900	bicubic
555	mobilenetv4_hybrid_medium.ix_e550_r384_in1k	384	96.000	4.000	99.180	0.820	11.07	1.000	bicubic
556	cs3se_edgenet_x.c2ns_in1k	256	96.000	4.000	99.090	0.910	50.72	1.000	bicubic
557	maxvit_rmlp_nano_rw_256.sw_in1k	256	96.000	4.000	98.960	1.040	15.50	0.950	bicubic
558	convnext_nano.in12k_ft_in1k	288	95.990	4.010	99.310	0.690	15.59	1.000	bicubic
559	xcit_tiny_24_p16_384.fb_dist_in1k	384	95.990	4.010	99.230	0.770	12.12	1.000	bicubic
560	regnety_032.ra_in1k	288	95.990	4.010	99.190	0.810	19.44	1.000	bicubic
561	regnetx_320.tv2_in1k	224	95.990	4.010	99.100	0.900	107.81	0.965	bicubic
562	resnext101_32x8d.tv2_in1k	224	95.990	4.010	99.090	0.910	88.79	0.965	bilinear
563	hrnet_w18_ssld.paddle_in1k	288	95.980	4.020	99.290	0.710	21.30	1.000	bilinear
564	regnety_160.tv2_in1k	224	95.980	4.020	99.160	0.840	83.59	0.965	bicubic
565	swinv2_tiny_window16_256.ms_in1k	256	95.980	4.020	99.150	0.850	28.35	0.900	bicubic
566	regnetz_c16.ra3_in1k	320	95.980	4.020	99.110	0.890	13.46	1.000	bicubic
567	sequencer2d_s.in1k	224	95.980	4.020	99.050	0.950	27.65	0.875	bicubic
568	eca_nfnet_l0.ra2_in1k	288	95.970	4.030	99.210	0.790	24.14	1.000	bicubic
569	efficientvit_b2.r288_in1k	288	95.970	4.030	99.210	0.790	24.33	1.000	bicubic
570	tf_efficientnet_b4.aa_in1k	380	95.970	4.030	99.170	0.830	19.34	0.922	bicubic
571	tresnet_xl.miil_in1k_448	448	95.970	4.030	99.120	0.880	78.44	0.875	bilinear
572	nest_small_jx.goog_in1k	224	95.970	4.030	99.040	0.960	38.35	0.875	bicubic
573	convformer_s18.sail_in1k	224	95.970	4.030	98.900	1.100	26.77	1.000	bicubic
574	mobilenetv4_conv_large.e600_r384_in1k	384	95.960	4.040	99.120	0.880	32.59	1.000	bicubic
575	coatnet_rmlp_1_rw_224.sw_in1k	224	95.950	4.050	99.180	0.820	41.69	0.950	bicubic
576	regnety_160.deit_in1k	224	95.940	4.060	99.270	0.730	83.59	1.000	bicubic
577	mobilenetv4_conv_aa_large.e600_r384_in1k	384	95.940	4.060	99.150	0.850	32.59	1.000	bicubic
578	coat_small.in1k	224	95.930	4.070	99.160	0.840	21.69	0.900	bicubic
579	maxvit_nano_rw_256.sw_in1k	256	95.930	4.070	99.000	1.000	15.45	0.950	bicubic
580	repvit_m1_5.dist_450e_in1k	224	95.920	4.080	99.140	0.860	14.64	0.950	bicubic
581	fastvit_sa24.apple_in1k	256	95.910	4.090	99.160	0.840	21.55	0.900	bicubic
582	convnextv2_nano.fcmae_ft_in1k	288	95.900	4.100	99.110	0.890	15.62	1.000	bicubic
583	regnetx_160.tv2_in1k	224	95.900	4.100	99.090	0.910	54.28	0.965	bicubic
584	convnextv2_tiny.fcmae_ft_in1k	224	95.890	4.110	99.120	0.880	28.64	1.000	bicubic
585	mobilenetv4_conv_large.e500_r256_in1k	320	95.890	4.110	99.110	0.890	32.59	1.000	bicubic
586	tresnet_l.miil_in1k_448	448	95.890	4.110	99.110	0.890	55.99	0.875	bilinear
587	cait_xxs36_384.fb_dist_in1k	384	95.890	4.110	99.100	0.900	17.37	1.000	bicubic
588	rexnetr_200.sw_in12k_ft_in1k	224	95.890	4.110	99.080	0.920	16.52	1.000	bicubic
589	maxxvitv2_nano_rw_256.sw_in1k	256	95.890	4.110	99.040	0.960	23.70	0.950	bicubic
590	resnext50_32x4d.fb_swsl_ig1b_ft_in1k	224	95.880	4.120	99.250	0.750	25.03	0.875	bilinear
591	resnet51q.ra2_in1k	288	95.880	4.120	99.110	0.890	35.70	1.000	bilinear
592	mvitv2_tiny.fb_in1k	224	95.880	4.120	99.090	0.910	24.17	0.900	bicubic
593	resnet152.a1h_in1k	224	95.880	4.120	99.050	0.950	60.19	1.000	bicubic
594	swin_small_patch4_window7_224.ms_in1k	224	95.880	4.120	99.020	0.980	49.61	0.900	bicubic
595	cs3darknet_x.c2ns_in1k	288	95.870	4.130	99.190	0.810	35.05	1.000	bicubic
596	nextvit_small.bd_in1k	224	95.870	4.130	99.080	0.920	31.76	0.950	bicubic
597	regnety_080_tv.tv2_in1k	224	95.870	4.130	99.080	0.920	39.38	0.965	bicubic
598	regnety_064.ra3_in1k	224	95.860	4.140	99.070	0.930	30.58	1.000	bicubic
599	hgnetv2_b3.ssld_stage1_in22k_in1k	224	95.850	4.150	99.290	0.710	16.29	1.000	bicubic
600	resnest101e.in1k	256	95.850	4.150	99.210	0.790	48.28	0.875	bilinear
601	resnet101d.ra2_in1k	256	95.850	4.150	99.090	0.910	44.57	1.000	bicubic
602	hgnetv2_b2.ssld_stage1_in22k_in1k	288	95.830	4.170	99.270	0.730	11.22	1.000	bicubic
603	resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k	224	95.830	4.170	99.170	0.830	194.03	0.875	bilinear
604	vit_large_patch32_384.orig_in21k_ft_in1k	384	95.830	4.170	99.160	0.840	306.63	1.000	bicubic
605	rexnet_300.nav_in1k	224	95.830	4.170	99.130	0.870	34.71	0.875	bicubic
606	regnety_080.ra3_in1k	224	95.830	4.170	99.120	0.880	39.18	1.000	bicubic
607	tf_efficientnet_b4.in1k	380	95.830	4.170	99.050	0.950	19.34	0.922	bicubic
608	hgnetv2_b3.ssld_stage2_ft_in1k	224	95.820	4.180	99.330	0.670	16.29	1.000	bicubic
609	resnetaa50d.sw_in12k_ft_in1k	288	95.810	4.190	99.180	0.820	25.58	1.000	bicubic
610	sequencer2d_m.in1k	224	95.810	4.190	99.110	0.890	38.31	0.875	bicubic
611	xcit_tiny_24_p8_224.fb_dist_in1k	224	95.800	4.200	99.210	0.790	12.11	1.000	bicubic
612	twins_pcpvt_base.in1k	224	95.800	4.200	99.150	0.850	43.83	0.900	bicubic
613	resnet61q.ra2_in1k	288	95.800	4.200	99.000	1.000	36.85	1.000	bicubic
614	convnext_tiny.fb_in1k	288	95.780	4.220	99.180	0.820	28.59	1.000	bicubic
615	mobilenetv4_hybrid_medium.ix_e550_r256_in1k	320	95.770	4.230	99.150	0.850	11.07	1.000	bicubic
616	regnetv_040.ra3_in1k	224	95.770	4.230	99.140	0.860	20.64	1.000	bicubic
617	mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	256	95.770	4.230	99.040	0.960	11.07	1.000	bicubic
618	vit_relpos_base_patch16_clsgap_224.sw_in1k	224	95.770	4.230	99.040	0.960	86.43	0.900	bicubic
619	tf_efficientnet_b2.ns_jft_in1k	260	95.750	4.250	99.120	0.880	9.11	0.890	bicubic
620	poolformerv2_m48.sail_in1k	224	95.750	4.250	98.980	1.020	73.35	1.000	bicubic
621	ecaresnet101d_pruned.miil_in1k	288	95.740	4.260	99.180	0.820	24.88	0.950	bicubic
622	gc_efficientnetv2_rw_t.agc_in1k	288	95.740	4.260	99.020	0.980	13.68	1.000	bicubic
623	vit_little_patch16_reg4_gap_256.sbb_in1k	256	95.730	4.270	99.120	0.880	22.52	0.950	bicubic
624	efficientnet_b3.ra2_in1k	320	95.730	4.270	99.050	0.950	12.23	1.000	bicubic
625	tresnet_m.miil_in21k_ft_in1k	224	95.730	4.270	99.030	0.970	31.39	0.875	bilinear
626	seresnext50_32x4d.racm_in1k	288	95.720	4.280	99.190	0.810	27.56	0.950	bicubic
627	resnext101_64x4d.c1_in1k	224	95.720	4.280	98.940	1.060	83.46	1.000	bicubic
628	pnasnet5large.tf_in1k	331	95.720	4.280	98.920	1.080	86.06	0.911	bicubic
629	regnetz_c16_evos.ch_in1k	256	95.700	4.300	99.220	0.780	13.49	0.950	bicubic
630	mobilevitv2_150.cvnets_in22k_ft_in1k_384	384	95.700	4.300	99.130	0.870	10.59	1.000	bicubic
631	coatnet_bn_0_rw_224.sw_in1k	224	95.700	4.300	99.060	0.940	27.44	0.950	bicubic
632	repvit_m1_5.dist_300e_in1k	224	95.700	4.300	98.980	1.020	14.64	0.950	bicubic
633	nasnetalarge.tf_in1k	331	95.700	4.300	98.920	1.080	88.75	0.911	bicubic
634	flexivit_small.600ep_in1k	240	95.690	4.310	99.080	0.920	22.06	0.950	bicubic
635	cs3sedarknet_x.c2ns_in1k	256	95.690	4.310	99.040	0.960	35.40	1.000	bicubic
636	xcit_tiny_24_p8_224.fb_in1k	224	95.680	4.320	99.060	0.940	12.11	1.000	bicubic
637	davit_tiny.msft_in1k	224	95.680	4.320	99.030	0.970	28.36	0.950	bicubic
638	cs3edgenet_x.c2_in1k	256	95.680	4.320	99.000	1.000	47.82	1.000	bicubic
639	crossvit_15_dagger_240.in1k	240	95.680	4.320	98.830	1.170	28.21	0.875	bicubic
640	efficientvit_b2.r256_in1k	256	95.670	4.330	99.060	0.940	24.33	1.000	bicubic
641	wide_resnet50_2.racm_in1k	288	95.660	4.340	99.220	0.780	68.88	0.950	bicubic
642	hgnet_small.paddle_in1k	288	95.650	4.350	99.150	0.850	24.36	1.000	bicubic
643	poolformer_m48.sail_in1k	224	95.650	4.350	98.950	1.050	73.47	0.950	bicubic
644	vit_small_r26_s32_224.augreg_in21k_ft_in1k	224	95.640	4.360	99.190	0.810	36.43	0.900	bicubic
645	resnetv2_50d_evos.ah_in1k	288	95.630	4.370	99.120	0.880	25.59	1.000	bicubic
646	pit_b_224.in1k	224	95.630	4.370	98.670	1.330	73.76	0.900	bicubic
647	efficientformer_l3.snap_dist_in1k	224	95.610	4.390	99.180	0.820	31.41	0.950	bicubic
648	convnextv2_nano.fcmae_ft_in22k_in1k	224	95.610	4.390	99.110	0.890	15.62	1.000	bicubic
649	efficientnetv2_rw_t.ra2_in1k	288	95.610	4.390	99.040	0.960	13.65	1.000	bicubic
650	hiera_tiny_224.mae_in1k_ft_in1k	224	95.600	4.400	98.870	1.130	27.91	0.900	bicubic
651	crossvit_18_dagger_240.in1k	240	95.590	4.410	99.050	0.950	44.27	0.875	bicubic
652	gcvit_xtiny.in1k	224	95.590	4.410	99.030	0.970	19.98	0.875	bicubic
653	vit_relpos_base_patch16_224.sw_in1k	224	95.590	4.410	99.030	0.970	86.43	0.900	bicubic
654	rdnet_tiny.nv_in1k	224	95.580	4.420	99.030	0.970	23.86	0.900	bicubic
655	hgnet_tiny.ssld_in1k	224	95.570	4.430	99.250	0.750	14.74	1.000	bicubic
656	regnetz_c16.ra3_in1k	256	95.570	4.430	99.050	0.950	13.46	1.000	bicubic
657	cs3darknet_x.c2ns_in1k	256	95.570	4.430	99.040	0.960	35.05	1.000	bicubic
658	regnety_040.ra3_in1k	224	95.570	4.430	98.930	1.070	20.65	1.000	bicubic
659	flexivit_small.1200ep_in1k	240	95.560	4.440	99.120	0.880	22.06	0.950	bicubic
660	wide_resnet101_2.tv2_in1k	224	95.560	4.440	99.090	0.910	126.89	0.965	bilinear
661	pvt_v2_b2_li.in1k	224	95.560	4.440	98.980	1.020	22.55	0.900	bicubic
662	coat_lite_small.in1k	224	95.560	4.440	98.880	1.120	19.84	0.900	bicubic
663	vit_base_patch32_clip_224.laion2b_ft_in1k	224	95.560	4.440	98.850	1.150	88.22	0.900	bicubic
664	tiny_vit_11m_224.in1k	224	95.550	4.450	98.990	1.010	11.00	0.950	bicubic
665	xception41p.ra3_in1k	299	95.550	4.450	98.940	1.060	26.91	0.940	bicubic
666	convnext_tiny_hnf.a2h_in1k	224	95.550	4.450	98.930	1.070	28.59	1.000	bicubic
667	convit_base.fb_in1k	224	95.550	4.450	98.890	1.110	86.54	0.875	bicubic
668	convnext_nano.in12k_ft_in1k	224	95.540	4.460	99.240	0.760	15.59	1.000	bicubic
669	levit_384.fb_dist_in1k	224	95.540	4.460	99.050	0.950	39.13	0.900	bicubic
670	levit_conv_384.fb_dist_in1k	224	95.540	4.460	99.050	0.950	39.13	0.900	bicubic
671	xcit_small_24_p16_224.fb_in1k	224	95.540	4.460	98.760	1.240	47.67	1.000	bicubic
672	hgnetv2_b2.ssld_stage2_ft_in1k	224	95.530	4.470	99.140	0.860	11.22	1.000	bicubic
673	resnetv2_50d_gn.ah_in1k	288	95.530	4.470	98.980	1.020	25.57	1.000	bicubic
674	resnet152.tv2_in1k	224	95.530	4.470	98.960	1.040	60.19	0.965	bilinear
675	ecaresnet50t.ra2_in1k	320	95.520	4.480	99.120	0.880	25.57	0.950	bicubic
676	vit_relpos_medium_patch16_rpn_224.sw_in1k	224	95.520	4.480	99.080	0.920	38.73	0.900	bicubic
677	flexivit_small.300ep_in1k	240	95.520	4.480	98.960	1.040	22.06	0.950	bicubic
678	xcit_medium_24_p16_224.fb_in1k	224	95.520	4.480	98.760	1.240	84.40	1.000	bicubic
679	swinv2_tiny_window8_256.ms_in1k	256	95.500	4.500	99.120	0.880	28.35	0.900	bicubic
680	fbnetv3_g.ra2_in1k	288	95.500	4.500	98.990	1.010	16.62	0.950	bilinear
681	visformer_small.in1k	224	95.500	4.500	98.900	1.100	40.22	0.900	bicubic
682	crossvit_base_240.in1k	240	95.500	4.500	98.820	1.180	105.03	0.875	bicubic
683	swin_tiny_patch4_window7_224.ms_in22k_ft_in1k	224	95.490	4.510	99.220	0.780	28.29	0.900	bicubic
684	focalnet_tiny_srf.ms_in1k	224	95.490	4.510	99.140	0.860	28.43	0.900	bicubic
685	ecaresnet50d.miil_in1k	288	95.490	4.510	99.110	0.890	25.58	0.950	bicubic
686	resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k	224	95.490	4.510	99.110	0.890	88.79	0.875	bilinear
687	pvt_v2_b2.in1k	224	95.490	4.510	99.000	1.000	25.36	0.900	bicubic
688	vit_relpos_medium_patch16_cls_224.sw_in1k	224	95.490	4.510	98.950	1.050	38.76	0.900	bicubic
689	resnet101.a1h_in1k	224	95.490	4.510	98.930	1.070	44.55	1.000	bicubic
690	resnet101.a1_in1k	288	95.490	4.510	98.850	1.150	44.55	1.000	bicubic
691	resnet152.a2_in1k	288	95.490	4.510	98.790	1.210	60.19	1.000	bicubic
692	crossvit_18_240.in1k	240	95.490	4.510	98.780	1.220	43.27	0.875	bicubic
693	resnet152.a1_in1k	288	95.490	4.510	98.770	1.230	60.19	1.000	bicubic
694	resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k	224	95.480	4.520	99.100	0.900	44.18	0.875	bilinear
695	focalnet_tiny_lrf.ms_in1k	224	95.480	4.520	98.940	1.060	28.65	0.900	bicubic
696	resnet50.fb_swsl_ig1b_ft_in1k	224	95.470	4.530	99.330	0.670	25.56	0.875	bilinear
697	resnet51q.ra2_in1k	256	95.470	4.530	99.070	0.930	35.70	1.000	bilinear
698	inception_next_tiny.sail_in1k	224	95.470	4.530	99.010	0.990	28.06	0.875	bicubic
699	vit_relpos_medium_patch16_224.sw_in1k	224	95.470	4.530	98.960	1.040	38.75	0.900	bicubic
700	resnetv2_101.a1h_in1k	224	95.470	4.530	98.920	1.080	44.54	1.000	bicubic
701	mobilenetv4_hybrid_medium.e500_r224_in1k	256	95.470	4.530	98.880	1.120	11.07	1.000	bicubic
702	ecaresnet50t.a1_in1k	288	95.460	4.540	99.020	0.980	25.57	1.000	bicubic
703	deit_base_patch16_224.fb_in1k	224	95.460	4.540	98.850	1.150	86.57	0.900	bicubic
704	coatnet_0_rw_224.sw_in1k	224	95.460	4.540	98.720	1.280	27.44	0.950	bicubic
705	xcit_large_24_p16_224.fb_in1k	224	95.460	4.540	98.630	1.370	189.10	1.000	bicubic
706	convnext_tiny.fb_in1k	224	95.450	4.550	99.120	0.880	28.59	1.000	bicubic
707	nfnet_l0.ra2_in1k	224	95.450	4.550	99.010	0.990	35.07	1.000	bicubic
708	tresnet_xl.miil_in1k	224	95.440	4.560	99.060	0.940	78.44	0.875	bilinear
709	coatnet_rmlp_nano_rw_224.sw_in1k	224	95.440	4.560	98.990	1.010	15.15	0.900	bicubic
710	resnext50_32x4d.a1h_in1k	288	95.440	4.560	98.840	1.160	25.03	1.000	bicubic
711	poolformerv2_m36.sail_in1k	224	95.430	4.570	98.880	1.120	56.08	1.000	bicubic
712	xcit_small_12_p16_224.fb_in1k	224	95.430	4.570	98.840	1.160	26.25	1.000	bicubic
713	edgenext_small.usi_in1k	320	95.420	4.580	99.100	0.900	5.59	1.000	bicubic
714	resnetrs101.tf_in1k	288	95.420	4.580	99.030	0.970	63.62	0.940	bicubic
715	resnet101.a2_in1k	288	95.420	4.580	98.930	1.070	44.55	1.000	bicubic
716	poolformer_m36.sail_in1k	224	95.420	4.580	98.840	1.160	56.17	0.950	bicubic
717	halo2botnet50ts_256.a1h_in1k	256	95.410	4.590	99.020	0.980	22.64	0.950	bicubic
718	coatnext_nano_rw_224.sw_in1k	224	95.410	4.590	99.000	1.000	14.70	0.900	bicubic
719	vit_small_patch16_224.augreg_in21k_ft_in1k	224	95.400	4.600	99.140	0.860	22.05	0.900	bicubic
720	vit_base_patch16_rpn_224.sw_in1k	224	95.390	4.610	98.950	1.050	86.54	0.900	bicubic
721	ecaresnet101d.miil_in1k	224	95.380	4.620	99.160	0.840	44.57	0.950	bicubic
722	efficientformerv2_s2.snap_dist_in1k	224	95.380	4.620	98.930	1.070	12.71	0.950	bicubic
723	dm_nfnet_f0.dm_in1k	192	95.380	4.620	98.920	1.080	71.49	0.900	bicubic
724	resnext101_32x8d.tv2_in1k	176	95.370	4.630	98.950	1.050	88.79	0.965	bilinear
725	tf_efficientnet_b3.ap_in1k	300	95.360	4.640	98.890	1.110	12.23	0.904	bicubic
726	mixer_b16_224.miil_in21k_ft_in1k	224	95.360	4.640	98.870	1.130	59.88	0.875	bilinear
727	tf_efficientnetv2_b3.in21k_ft_in1k	240	95.350	4.650	98.970	1.030	14.36	0.900	bicubic
728	ecaresnet50t.a2_in1k	288	95.350	4.650	98.930	1.070	25.57	1.000	bicubic
729	resnet61q.ra2_in1k	256	95.350	4.650	98.930	1.070	36.85	1.000	bicubic
730	convnext_nano.d1h_in1k	288	95.350	4.650	98.850	1.150	15.59	1.000	bicubic
731	seresnet50.ra2_in1k	288	95.330	4.670	99.010	0.990	28.09	0.950	bicubic
732	vit_base_patch16_224.orig_in21k_ft_in1k	224	95.330	4.670	99.010	0.990	86.57	0.900	bicubic
733	swinv2_cr_tiny_ns_224.sw_in1k	224	95.330	4.670	98.940	1.060	28.33	0.900	bicubic
734	poolformerv2_s36.sail_in1k	224	95.330	4.670	98.890	1.110	30.79	1.000	bicubic
735	seresnext50_32x4d.racm_in1k	224	95.330	4.670	98.830	1.170	27.56	0.950	bicubic
736	cs3sedarknet_l.c2ns_in1k	288	95.320	4.680	99.140	0.860	21.91	0.950	bicubic
737	efficientvit_b2.r224_in1k	224	95.310	4.690	98.790	1.210	24.33	0.950	bicubic
738	regnety_032.tv2_in1k	224	95.300	4.700	98.930	1.070	19.44	0.965	bicubic
739	ecaresnetlight.miil_in1k	288	95.290	4.710	99.040	0.960	30.16	0.950	bicubic
740	vit_small_patch16_384.augreg_in1k	384	95.290	4.710	99.010	0.990	22.20	1.000	bicubic
741	resnet101.tv2_in1k	224	95.290	4.710	98.930	1.070	44.55	0.965	bilinear
742	resnet50_gn.a1h_in1k	288	95.280	4.720	99.000	1.000	25.56	0.950	bicubic
743	gcresnet50t.ra2_in1k	288	95.280	4.720	98.910	1.090	25.90	1.000	bicubic
744	mobilevitv2_175.cvnets_in22k_ft_in1k	256	95.280	4.720	98.800	1.200	14.25	0.888	bicubic
745	regnety_032.ra_in1k	224	95.270	4.730	99.050	0.950	19.44	1.000	bicubic
746	tresnet_l.miil_in1k	224	95.270	4.730	99.010	0.990	55.99	0.875	bilinear
747	cait_xxs24_384.fb_dist_in1k	384	95.270	4.730	98.970	1.030	12.03	1.000	bicubic
748	convnextv2_nano.fcmae_ft_in1k	224	95.270	4.730	98.950	1.050	15.62	1.000	bicubic
749	nest_tiny_jx.goog_in1k	224	95.260	4.740	98.970	1.030	17.06	0.875	bicubic
750	resnetaa50d.sw_in12k_ft_in1k	224	95.260	4.740	98.950	1.050	25.58	1.000	bicubic
751	convnextv2_pico.fcmae_ft_in1k	288	95.250	4.750	98.930	1.070	9.07	0.950	bicubic
752	repvit_m3.dist_in1k	224	95.240	4.760	99.060	0.940	10.68	0.950	bicubic
753	vit_srelpos_medium_patch16_224.sw_in1k	224	95.240	4.760	98.980	1.020	38.74	0.900	bicubic
754	resnetaa50.a1h_in1k	288	95.240	4.760	98.910	1.090	25.56	1.000	bicubic
755	coatnet_nano_rw_224.sw_in1k	224	95.240	4.760	98.870	1.130	15.14	0.900	bicubic
756	twins_pcpvt_small.in1k	224	95.230	4.770	98.870	1.130	24.11	0.900	bicubic
757	eca_nfnet_l0.ra2_in1k	224	95.210	4.790	99.040	0.960	24.14	1.000	bicubic
758	mobilenetv4_hybrid_medium.ix_e550_r256_in1k	256	95.200	4.800	98.910	1.090	11.07	1.000	bicubic
759	twins_svt_small.in1k	224	95.200	4.800	98.890	1.110	24.06	0.900	bicubic
760	mobilenetv4_conv_large.e500_r256_in1k	256	95.200	4.800	98.830	1.170	32.59	1.000	bicubic
761	swin_s3_tiny_224.ms_in1k	224	95.190	4.810	98.960	1.040	28.33	0.900	bicubic
762	vit_relpos_small_patch16_224.sw_in1k	224	95.190	4.810	98.950	1.050	21.98	0.900	bicubic
763	convit_small.fb_in1k	224	95.190	4.810	98.930	1.070	27.78	0.875	bicubic
764	pit_s_distilled_224.in1k	224	95.190	4.810	98.900	1.100	24.04	0.900	bicubic
765	efficientnet_b3.ra2_in1k	288	95.180	4.820	98.880	1.120	12.23	1.000	bicubic
766	tf_efficientnetv2_b3.in1k	300	95.180	4.820	98.830	1.170	14.36	0.904	bicubic
767	regnetz_b16.ra3_in1k	288	95.170	4.830	99.080	0.920	9.72	1.000	bicubic
768	hgnetv2_b2.ssld_stage1_in22k_in1k	224	95.170	4.830	99.030	0.970	11.22	1.000	bicubic
769	mobilevitv2_200.cvnets_in22k_ft_in1k	256	95.170	4.830	98.920	1.080	18.45	0.888	bicubic
770	swin_tiny_patch4_window7_224.ms_in1k	224	95.170	4.830	98.860	1.140	28.29	0.900	bicubic
771	tf_efficientnet_b1.ns_jft_in1k	240	95.160	4.840	99.090	0.910	7.79	0.882	bicubic
772	xcit_tiny_12_p16_384.fb_dist_in1k	384	95.160	4.840	99.000	1.000	6.72	1.000	bicubic
773	cs3darknet_focus_l.c2ns_in1k	288	95.160	4.840	98.960	1.040	21.15	0.950	bicubic
774	lamhalobotnet50ts_256.a1h_in1k	256	95.160	4.840	98.880	1.120	22.57	0.950	bicubic
775	mobilevitv2_150.cvnets_in22k_ft_in1k	256	95.160	4.840	98.850	1.150	10.59	0.888	bicubic
776	ecaresnet50t.ra2_in1k	256	95.140	4.860	99.010	0.990	25.57	0.950	bicubic
777	ecaresnet101d_pruned.miil_in1k	224	95.140	4.860	99.000	1.000	24.88	0.950	bicubic
778	cs3darknet_l.c2ns_in1k	288	95.140	4.860	98.990	1.010	21.16	0.950	bicubic
779	halonet50ts.a1h_in1k	256	95.140	4.860	98.780	1.220	22.73	0.940	bicubic
780	crossvit_15_240.in1k	240	95.130	4.870	98.940	1.060	27.53	0.875	bicubic
781	fastvit_sa12.apple_dist_in1k	256	95.130	4.870	98.810	1.190	11.58	0.900	bicubic
782	efficientnet_el.ra_in1k	300	95.120	4.880	98.990	1.010	10.59	0.904	bicubic
783	vit_base_patch32_clip_224.openai_ft_in1k	224	95.110	4.890	98.990	1.010	88.22	0.900	bicubic
784	ecaresnet50d_pruned.miil_in1k	288	95.110	4.890	98.970	1.030	19.94	0.950	bicubic
785	gernet_l.idstcv_in1k	256	95.110	4.890	98.910	1.090	31.08	0.875	bilinear
786	poolformer_s36.sail_in1k	224	95.110	4.890	98.910	1.090	30.86	0.900	bicubic
787	regnetx_080.tv2_in1k	224	95.110	4.890	98.800	1.200	39.57	0.965	bicubic
788	convnext_nano_ols.d1h_in1k	288	95.110	4.890	98.710	1.290	15.65	1.000	bicubic
789	xcit_tiny_12_p8_224.fb_dist_in1k	224	95.090	4.910	98.930	1.070	6.71	1.000	bicubic
790	legacy_senet154.in1k	224	95.090	4.910	98.830	1.170	115.09	0.875	bilinear
791	cs3sedarknet_l.c2ns_in1k	256	95.080	4.920	99.050	0.950	21.91	0.950	bicubic
792	hrnet_w18_ssld.paddle_in1k	224	95.080	4.920	99.040	0.960	21.30	1.000	bilinear
793	convmixer_1536_20.in1k	224	95.080	4.920	99.030	0.970	51.63	0.960	bicubic
794	vit_small_patch32_384.augreg_in21k_ft_in1k	384	95.080	4.920	99.000	1.000	22.92	1.000	bicubic
795	vit_srelpos_small_patch16_224.sw_in1k	224	95.070	4.930	98.950	1.050	21.97	0.900	bicubic
796	fbnetv3_g.ra2_in1k	240	95.070	4.930	98.800	1.200	16.62	0.950	bilinear
797	resnet152s.gluon_in1k	224	95.060	4.940	98.930	1.070	60.32	0.875	bicubic
798	tnt_s_patch16_224	224	95.060	4.940	98.840	1.160	23.76	0.900	bicubic
799	tiny_vit_5m_224.dist_in22k_ft_in1k	224	95.050	4.950	98.990	1.010	5.39	0.950	bicubic
800	wide_resnet50_2.racm_in1k	224	95.040	4.960	99.010	0.990	68.88	0.950	bicubic
801	seresnet33ts.ra2_in1k	288	95.040	4.960	98.900	1.100	19.78	1.000	bicubic
802	gc_efficientnetv2_rw_t.agc_in1k	224	95.040	4.960	98.840	1.160	13.68	1.000	bicubic
803	resnetv2_50x1_bit.goog_in21k_ft_in1k	448	95.030	4.970	99.050	0.950	25.55	1.000	bilinear
804	hgnet_small.paddle_in1k	224	95.030	4.970	98.990	1.010	24.36	1.000	bicubic
805	levit_256.fb_dist_in1k	224	95.030	4.970	98.870	1.130	18.89	0.900	bicubic
806	levit_conv_256.fb_dist_in1k	224	95.030	4.970	98.870	1.130	18.89	0.900	bicubic
807	vit_base_patch32_224.augreg_in21k_ft_in1k	224	95.010	4.990	99.020	0.980	88.22	0.900	bicubic
808	tf_efficientnet_b3.aa_in1k	300	95.010	4.990	98.910	1.090	12.23	0.904	bicubic
809	mobilenetv4_conv_medium.e500_r256_in1k	320	95.000	5.000	98.900	1.100	9.72	1.000	bicubic
810	coat_mini.in1k	224	95.000	5.000	98.780	1.220	10.34	0.900	bicubic
811	deit3_small_patch16_224.fb_in1k	224	95.000	5.000	98.460	1.540	22.06	0.900	bicubic
812	resnet50d.ra2_in1k	288	94.990	5.010	98.970	1.030	25.58	0.950	bicubic
813	tresnet_m.miil_in1k_448	448	94.980	5.020	98.980	1.020	31.39	0.875	bilinear
814	efficientnetv2_rw_t.ra2_in1k	224	94.980	5.020	98.750	1.250	13.65	1.000	bicubic
815	rexnet_200.nav_in1k	224	94.970	5.030	98.990	1.010	16.37	0.875	bicubic
816	resnest50d_4s2x40d.in1k	224	94.960	5.040	99.070	0.930	30.42	0.875	bicubic
817	hgnet_tiny.paddle_in1k	288	94.960	5.040	99.060	0.940	14.74	1.000	bicubic
818	vit_base_patch16_384.augreg_in1k	384	94.960	5.040	98.890	1.110	86.86	1.000	bicubic
819	resnet50.d_in1k	288	94.960	5.040	98.820	1.180	25.56	1.000	bicubic
820	mobilenet_edgetpu_v2_m	256	94.960	5.040	98.800	1.200	8.46	0.950	bicubic
821	resnetv2_50d_evos.ah_in1k	224	94.960	5.040	98.760	1.240	25.59	1.000	bicubic
822	resnet152.a2_in1k	224	94.950	5.050	98.530	1.470	60.19	1.000	bicubic
823	seresnext101_64x4d.gluon_in1k	224	94.940	5.060	98.800	1.200	88.23	0.875	bicubic
824	resnet152.a1_in1k	224	94.940	5.060	98.430	1.570	60.19	1.000	bicubic
825	edgenext_small.usi_in1k	256	94.930	5.070	98.950	1.050	5.59	1.000	bicubic
826	senet154.gluon_in1k	224	94.930	5.070	98.770	1.230	115.09	0.875	bicubic
827	eva02_tiny_patch14_336.mim_in22k_ft_in1k	336	94.920	5.080	98.870	1.130	5.76	1.000	bicubic
828	resnet50.c2_in1k	288	94.920	5.080	98.810	1.190	25.56	1.000	bicubic
829	seresnext101_32x4d.gluon_in1k	224	94.920	5.080	98.780	1.220	48.96	0.875	bicubic
830	gcresnet33ts.ra2_in1k	288	94.910	5.090	98.880	1.120	19.88	1.000	bicubic
831	convnext_nano.d1h_in1k	224	94.900	5.100	98.710	1.290	15.59	1.000	bicubic
832	tf_efficientnet_lite4.in1k	380	94.890	5.110	99.030	0.970	13.01	0.920	bilinear
833	repvit_m1_1.dist_450e_in1k	224	94.890	5.110	98.920	1.080	8.80	0.950	bicubic
834	ese_vovnet39b.ra_in1k	288	94.890	5.110	98.910	1.090	24.57	0.950	bicubic
835	fastvit_sa12.apple_in1k	256	94.890	5.110	98.860	1.140	11.58	0.900	bicubic
836	resmlp_36_224.fb_distilled_in1k	224	94.880	5.120	98.870	1.130	44.69	0.875	bicubic
837	wide_resnet50_2.tv2_in1k	224	94.870	5.130	98.960	1.040	68.88	0.965	bilinear
838	mobilevitv2_175.cvnets_in1k	256	94.870	5.130	98.880	1.120	14.25	0.888	bicubic
839	mobilenetv4_conv_blur_medium.e500_r224_in1k	256	94.870	5.130	98.810	1.190	9.72	1.000	bicubic
840	fastvit_s12.apple_dist_in1k	256	94.870	5.130	98.770	1.230	9.47	0.900	bicubic
841	convnext_tiny.fb_in22k_ft_in1k	288	94.870	5.130	98.550	1.450	28.59	1.000	bicubic
842	gcresnext50ts.ch_in1k	288	94.860	5.140	98.850	1.150	15.67	1.000	bicubic
843	resnet50.b1k_in1k	288	94.860	5.140	98.800	1.200	25.56	1.000	bicubic
844	res2net101d.in1k	224	94.860	5.140	98.760	1.240	45.23	0.875	bilinear
845	mobilevitv2_200.cvnets_in1k	256	94.860	5.140	98.720	1.280	18.45	0.888	bicubic
846	resnext50_32x4d.a1_in1k	288	94.860	5.140	98.650	1.350	25.03	1.000	bicubic
847	resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k	224	94.850	5.150	98.880	1.120	25.03	0.875	bilinear
848	crossvit_small_240.in1k	240	94.840	5.160	99.030	0.970	26.86	0.875	bicubic
849	gcresnet50t.ra2_in1k	256	94.840	5.160	98.680	1.320	25.90	1.000	bicubic
850	lambda_resnet50ts.a1h_in1k	256	94.840	5.160	98.480	1.520	21.54	0.950	bicubic
851	resnest50d.in1k	224	94.830	5.170	98.870	1.130	27.48	0.875	bilinear
852	resnetv2_50.a1h_in1k	288	94.830	5.170	98.870	1.130	25.55	1.000	bicubic
853	cspresnext50.ra_in1k	256	94.830	5.170	98.730	1.270	20.57	0.887	bilinear
854	resnet152d.gluon_in1k	224	94.820	5.180	98.760	1.240	60.21	0.875	bicubic
855	ecaresnet50d.miil_in1k	224	94.800	5.200	98.900	1.100	25.58	0.950	bicubic
856	resnet50.a1_in1k	288	94.800	5.200	98.750	1.250	25.56	1.000	bicubic
857	vit_wee_patch16_reg1_gap_256.sbb_in1k	256	94.790	5.210	98.940	1.060	13.42	0.950	bicubic
858	resnet50.c1_in1k	288	94.790	5.210	98.920	1.080	25.56	1.000	bicubic
859	sehalonet33ts.ra2_in1k	256	94.780	5.220	98.570	1.430	13.69	0.940	bicubic
860	resnet50d.a1_in1k	288	94.780	5.220	98.480	1.520	25.58	1.000	bicubic
861	mobilenetv4_conv_medium.e500_r224_in1k	256	94.770	5.230	98.860	1.140	9.72	1.000	bicubic
862	resnet50.a1h_in1k	224	94.770	5.230	98.680	1.320	25.56	1.000	bicubic
863	resnest50d_1s4x24d.in1k	224	94.760	5.240	98.980	1.020	25.68	0.875	bicubic
864	repvit_m1_1.dist_300e_in1k	224	94.760	5.240	98.930	1.070	8.80	0.950	bicubic
865	convnext_pico.d1_in1k	288	94.750	5.250	98.700	1.300	9.05	0.950	bicubic
866	resnet101.a2_in1k	224	94.750	5.250	98.600	1.400	44.55	1.000	bicubic
867	ecaresnet50t.a1_in1k	224	94.750	5.250	98.590	1.410	25.57	1.000	bicubic
868	cs3darknet_l.c2ns_in1k	256	94.740	5.260	98.850	1.150	21.16	0.950	bicubic
869	resnet101s.gluon_in1k	224	94.740	5.260	98.820	1.180	44.67	0.875	bicubic
870	repvit_m2.dist_in1k	224	94.740	5.260	98.670	1.330	8.80	0.950	bicubic
871	seresnet50.ra2_in1k	224	94.730	5.270	98.680	1.320	28.09	0.950	bicubic
872	haloregnetz_b.ra3_in1k	224	94.730	5.270	98.670	1.330	11.68	0.940	bicubic
873	resnet152.a3_in1k	224	94.720	5.280	98.690	1.310	60.19	0.950	bicubic
874	resnetaa50.a1h_in1k	224	94.720	5.280	98.610	1.390	25.56	1.000	bicubic
875	deit_small_distilled_patch16_224.fb_in1k	224	94.710	5.290	99.020	0.980	22.44	0.900	bicubic
876	resnet50.b2k_in1k	288	94.710	5.290	98.820	1.180	25.56	1.000	bicubic
877	resnext50_32x4d.ra_in1k	288	94.700	5.300	98.760	1.240	25.03	0.950	bicubic
878	resnetrs101.tf_in1k	192	94.700	5.300	98.710	1.290	63.62	0.940	bicubic
879	maxvit_rmlp_pico_rw_256.sw_in1k	256	94.690	5.310	98.800	1.200	7.52	0.950	bicubic
880	xcit_tiny_12_p8_224.fb_in1k	224	94.680	5.320	98.830	1.170	6.71	1.000	bicubic
881	ecaresnetlight.miil_in1k	224	94.680	5.320	98.820	1.180	30.16	0.950	bicubic
882	edgenext_small_rw.sw_in1k	320	94.680	5.320	98.820	1.180	7.83	1.000	bicubic
883	seresnet50.a2_in1k	288	94.680	5.320	98.760	1.240	28.09	1.000	bicubic
884	efficientnet_b3_pruned.in1k	300	94.680	5.320	98.740	1.260	9.86	0.904	bicubic
885	convnext_nano_ols.d1h_in1k	224	94.680	5.320	98.580	1.420	15.65	1.000	bicubic
886	resmlp_big_24_224.fb_in1k	224	94.680	5.320	98.500	1.500	129.14	0.875	bicubic
887	cspdarknet53.ra_in1k	256	94.670	5.330	98.800	1.200	27.64	0.887	bilinear
888	tf_efficientnet_b3.in1k	300	94.670	5.330	98.770	1.230	12.23	0.904	bicubic
889	seresnet50.a1_in1k	288	94.670	5.330	98.720	1.280	28.09	1.000	bicubic
890	resnext101_64x4d.gluon_in1k	224	94.670	5.330	98.650	1.350	83.46	0.875	bicubic
891	resnet101.a1_in1k	224	94.670	5.330	98.550	1.450	44.55	1.000	bicubic
892	sebotnet33ts_256.a1h_in1k	256	94.670	5.330	98.500	1.500	13.70	0.940	bicubic
893	cs3darknet_focus_l.c2ns_in1k	256	94.660	5.340	98.870	1.130	21.15	0.950	bicubic
894	regnetx_032.tv2_in1k	224	94.660	5.340	98.870	1.130	15.30	0.965	bicubic
895	poolformerv2_s24.sail_in1k	224	94.660	5.340	98.840	1.160	21.34	1.000	bicubic
896	resnet50.tv2_in1k	224	94.660	5.340	98.780	1.220	25.56	0.965	bilinear
897	eca_resnet33ts.ra2_in1k	288	94.650	5.350	98.890	1.110	19.68	1.000	bicubic
898	gernet_m.idstcv_in1k	224	94.650	5.350	98.870	1.130	21.14	0.875	bilinear
899	resnet50.a2_in1k	288	94.650	5.350	98.660	1.340	25.56	1.000	bicubic
900	convnext_pico_ols.d1_in1k	288	94.640	5.360	98.780	1.220	9.06	1.000	bicubic
901	vit_pwee_patch16_reg1_gap_256.sbb_in1k	256	94.640	5.360	98.780	1.220	15.25	0.950	bicubic
902	pit_s_224.in1k	224	94.640	5.360	98.720	1.280	23.46	0.900	bicubic
903	mobilenetv4_hybrid_medium.e500_r224_in1k	224	94.640	5.360	98.700	1.300	11.07	1.000	bicubic
904	resnetv2_50d_gn.ah_in1k	224	94.630	5.370	98.700	1.300	25.57	1.000	bicubic
905	darknet53.c2ns_in1k	288	94.620	5.380	98.900	1.100	41.61	1.000	bicubic
906	fastvit_t12.apple_dist_in1k	256	94.620	5.380	98.800	1.200	7.55	0.900	bicubic
907	nf_resnet50.ra2_in1k	288	94.620	5.380	98.800	1.200	25.56	0.940	bicubic
908	resnext50_32x4d.tv2_in1k	224	94.620	5.380	98.780	1.220	25.03	0.965	bilinear
909	efficientnet_b2.ra_in1k	288	94.620	5.380	98.710	1.290	9.11	1.000	bicubic
910	tresnet_m.miil_in1k	224	94.610	5.390	98.560	1.440	31.39	0.875	bilinear
911	regnety_320.pycls_in1k	224	94.590	5.410	98.850	1.150	145.05	0.875	bicubic
912	inception_resnet_v2.tf_in1k	299	94.590	5.410	98.780	1.220	55.84	0.897	bicubic
913	resnet50d.a2_in1k	288	94.590	5.410	98.700	1.300	25.58	1.000	bicubic
914	seresnet33ts.ra2_in1k	256	94.590	5.410	98.670	1.330	19.78	1.000	bicubic
915	hgnetv2_b1.ssld_stage1_in22k_in1k	288	94.580	5.420	98.880	1.120	6.34	1.000	bicubic
916	regnety_016.tv2_in1k	224	94.580	5.420	98.830	1.170	11.20	0.965	bicubic
917	tf_efficientnetv2_b3.in1k	240	94.580	5.420	98.660	1.340	14.36	0.904	bicubic
918	hgnetv2_b1.ssld_stage2_ft_in1k	288	94.570	5.430	98.960	1.040	6.34	1.000	bicubic
919	poolformer_s24.sail_in1k	224	94.570	5.430	98.900	1.100	21.39	0.900	bicubic
920	gcresnext50ts.ch_in1k	256	94.570	5.430	98.700	1.300	15.67	1.000	bicubic
921	resnext50_32x4d.a2_in1k	288	94.560	5.440	98.640	1.360	25.03	1.000	bicubic
922	convnextv2_pico.fcmae_ft_in1k	224	94.560	5.440	98.610	1.390	9.07	0.950	bicubic
923	repvgg_b3.rvgg_in1k	224	94.550	5.450	98.780	1.220	123.09	0.875	bilinear
924	repvit_m1_0.dist_450e_in1k	224	94.540	5.460	98.880	1.120	7.30	0.950	bicubic
925	resnext50d_32x4d.bt_in1k	288	94.540	5.460	98.690	1.310	25.05	0.950	bicubic
926	xcit_tiny_24_p16_224.fb_dist_in1k	224	94.530	5.470	98.800	1.200	12.12	1.000	bicubic
927	mobilevitv2_150.cvnets_in1k	256	94.530	5.470	98.720	1.280	10.59	0.888	bicubic
928	resnext101_32x4d.gluon_in1k	224	94.530	5.470	98.630	1.370	44.18	0.875	bicubic
929	repvgg_b3g4.rvgg_in1k	224	94.520	5.480	98.960	1.040	83.83	0.875	bilinear
930	regnety_120.pycls_in1k	224	94.520	5.480	98.820	1.180	51.82	0.875	bicubic
931	darknetaa53.c2ns_in1k	288	94.520	5.480	98.760	1.240	36.02	1.000	bilinear
932	resnet50.ram_in1k	288	94.520	5.480	98.670	1.330	25.56	0.950	bicubic
933	tf_efficientnet_b2.ap_in1k	260	94.510	5.490	98.660	1.340	9.11	0.890	bicubic
934	convmixer_768_32.in1k	224	94.500	5.500	98.850	1.150	21.11	0.960	bicubic
935	efficientformer_l1.snap_dist_in1k	224	94.500	5.500	98.820	1.180	12.29	0.950	bicubic
936	resnext50_32x4d.a1h_in1k	224	94.500	5.500	98.680	1.320	25.03	1.000	bicubic
937	efficientvit_b1.r288_in1k	288	94.500	5.500	98.540	1.460	9.10	1.000	bicubic
938	resnet50.fb_ssl_yfcc100m_ft_in1k	224	94.490	5.510	98.920	1.080	25.56	0.875	bilinear
939	rexnet_150.nav_in1k	224	94.490	5.510	98.780	1.220	9.73	0.875	bicubic
940	resnetblur50.bt_in1k	288	94.470	5.530	98.780	1.220	25.56	0.950	bicubic
941	gcresnet33ts.ra2_in1k	256	94.470	5.530	98.640	1.360	19.88	1.000	bicubic
942	ecaresnet50t.a2_in1k	224	94.460	5.540	98.670	1.330	25.57	1.000	bicubic
943	resmlp_24_224.fb_distilled_in1k	224	94.450	5.550	98.770	1.230	30.02	0.875	bicubic
944	regnetx_320.pycls_in1k	224	94.440	5.560	98.730	1.270	107.81	0.875	bicubic
945	tf_efficientnetv2_b2.in1k	260	94.440	5.560	98.600	1.400	10.10	0.890	bicubic
946	regnetz_b16.ra3_in1k	224	94.420	5.580	98.720	1.280	9.72	1.000	bicubic
947	resnet50_gn.a1h_in1k	224	94.420	5.580	98.650	1.350	25.56	0.950	bicubic
948	tf_efficientnet_el.in1k	300	94.410	5.590	98.700	1.300	10.59	0.904	bicubic
949	deit_small_patch16_224.fb_in1k	224	94.400	5.600	98.690	1.310	22.05	0.900	bicubic
950	ecaresnet50t.a3_in1k	224	94.400	5.600	98.670	1.330	25.57	0.950	bicubic
951	tf_efficientnet_b2.aa_in1k	260	94.400	5.600	98.600	1.400	9.11	0.890	bicubic
952	resnetv2_50.a1h_in1k	224	94.390	5.610	98.630	1.370	25.55	1.000	bicubic
953	gcvit_xxtiny.in1k	224	94.380	5.620	98.890	1.110	12.00	0.875	bicubic
954	efficientnet_el_pruned.in1k	300	94.380	5.620	98.750	1.250	10.59	0.904	bicubic
955	inception_v4.tf_in1k	299	94.380	5.620	98.560	1.440	42.68	0.875	bicubic
956	regnety_160.pycls_in1k	224	94.370	5.630	98.830	1.170	83.59	0.875	bicubic
957	legacy_seresnext101_32x4d.in1k	224	94.370	5.630	98.630	1.370	48.96	0.875	bilinear
958	resnet50d.ra2_in1k	224	94.370	5.630	98.630	1.370	25.58	0.950	bicubic
959	dpn107.mx_in1k	224	94.370	5.630	98.480	1.520	86.92	0.875	bicubic
960	mobilenetv4_conv_medium.e500_r256_in1k	256	94.360	5.640	98.760	1.240	9.72	1.000	bicubic
961	ecaresnet50d_pruned.miil_in1k	224	94.360	5.640	98.730	1.270	19.94	0.950	bicubic
962	wide_resnet50_2.tv2_in1k	176	94.360	5.640	98.690	1.310	68.88	0.965	bilinear
963	darknet53.c2ns_in1k	256	94.360	5.640	98.660	1.340	41.61	1.000	bicubic
964	mobilenetv4_conv_blur_medium.e500_r224_in1k	224	94.360	5.640	98.640	1.360	9.72	1.000	bicubic
965	seresnext50_32x4d.gluon_in1k	224	94.360	5.640	98.620	1.380	27.56	0.875	bicubic
966	repvit_m1_0.dist_300e_in1k	224	94.330	5.670	98.850	1.150	7.30	0.950	bicubic
967	mobilenet_edgetpu_v2_m	224	94.330	5.670	98.660	1.340	8.46	0.950	bicubic
968	xception71.tf_in1k	299	94.330	5.670	98.640	1.360	42.34	0.903	bicubic
969	resnet50.bt_in1k	288	94.310	5.690	98.640	1.360	25.56	0.950	bicubic
970	res2net50d.in1k	224	94.310	5.690	98.550	1.450	25.72	0.875	bilinear
971	ecaresnet26t.ra2_in1k	320	94.300	5.700	98.720	1.280	16.01	0.950	bicubic
972	eca_resnet33ts.ra2_in1k	256	94.290	5.710	98.830	1.170	19.68	1.000	bicubic
973	resnetrs50.tf_in1k	224	94.290	5.710	98.640	1.360	35.69	0.910	bicubic
974	dpn92.mx_in1k	224	94.280	5.720	98.750	1.250	37.67	0.875	bicubic
975	tiny_vit_5m_224.in1k	224	94.280	5.720	98.660	1.340	5.39	0.950	bicubic
976	skresnext50_32x4d.ra_in1k	224	94.260	5.740	98.470	1.530	27.48	0.875	bicubic
977	hgnet_tiny.paddle_in1k	224	94.250	5.750	98.870	1.130	14.74	1.000	bicubic
978	cait_xxs36_224.fb_dist_in1k	224	94.250	5.750	98.710	1.290	17.30	1.000	bicubic
979	resnet101d.gluon_in1k	224	94.250	5.750	98.550	1.450	44.57	0.875	bicubic
980	resnet50d.a1_in1k	224	94.250	5.750	98.300	1.700	25.58	1.000	bicubic
981	regnetx_120.pycls_in1k	224	94.240	5.760	98.650	1.350	46.11	0.875	bicubic
982	resnet50.ra_in1k	288	94.220	5.780	98.640	1.360	25.56	0.950	bicubic
983	inception_resnet_v2.tf_ens_adv_in1k	299	94.220	5.780	98.600	1.400	55.84	0.897	bicubic
984	fastvit_s12.apple_in1k	256	94.220	5.780	98.570	1.430	9.47	0.900	bicubic
985	resmlp_36_224.fb_in1k	224	94.200	5.800	98.660	1.340	44.69	0.875	bicubic
986	convnextv2_femto.fcmae_ft_in1k	288	94.200	5.800	98.640	1.360	5.23	0.950	bicubic
987	tf_efficientnet_lite3.in1k	300	94.200	5.800	98.630	1.370	8.20	0.904	bilinear
988	mixnet_xl.ra_in1k	224	94.200	5.800	98.340	1.660	11.90	0.875	bicubic
989	resnet50.c2_in1k	224	94.190	5.810	98.650	1.350	25.56	1.000	bicubic
990	regnety_080.pycls_in1k	224	94.180	5.820	98.680	1.320	39.18	0.875	bicubic
991	levit_192.fb_dist_in1k	224	94.180	5.820	98.540	1.460	10.95	0.900	bicubic
992	levit_conv_192.fb_dist_in1k	224	94.180	5.820	98.540	1.460	10.95	0.900	bicubic
993	darknetaa53.c2ns_in1k	256	94.170	5.830	98.610	1.390	36.02	1.000	bilinear
994	resnet50.c1_in1k	224	94.170	5.830	98.590	1.410	25.56	1.000	bicubic
995	nf_resnet50.ra2_in1k	256	94.160	5.840	98.730	1.270	25.56	0.940	bicubic
996	regnety_064.pycls_in1k	224	94.160	5.840	98.720	1.280	30.58	0.875	bicubic
997	resnet152c.gluon_in1k	224	94.160	5.840	98.630	1.370	60.21	0.875	bicubic
998	resnet33ts.ra2_in1k	288	94.160	5.840	98.610	1.390	19.68	1.000	bicubic
999	dpn98.mx_in1k	224	94.160	5.840	98.590	1.410	61.57	0.875	bicubic
1000	gmlp_s16_224.ra3_in1k	224	94.160	5.840	98.500	1.500	19.42	0.875	bicubic
1001	resnet152.gluon_in1k	224	94.160	5.840	98.460	1.540	60.19	0.875	bicubic
1002	regnetx_160.pycls_in1k	224	94.150	5.850	98.740	1.260	54.28	0.875	bicubic
1003	regnetx_016.tv2_in1k	224	94.150	5.850	98.720	1.280	9.19	0.965	bicubic
1004	vit_base_patch16_224.sam_in1k	224	94.150	5.850	98.670	1.330	86.57	0.900	bicubic
1005	nf_regnet_b1.ra2_in1k	288	94.150	5.850	98.630	1.370	10.22	0.900	bicubic
1006	efficientnet_b2_pruned.in1k	260	94.140	5.860	98.510	1.490	8.31	0.890	bicubic
1007	tf_efficientnet_b2.in1k	260	94.130	5.870	98.460	1.540	9.11	0.890	bicubic
1008	efficientnet_b2.ra_in1k	256	94.130	5.870	98.440	1.560	9.11	1.000	bicubic
1009	resnet50.a1_in1k	224	94.120	5.880	98.490	1.510	25.56	1.000	bicubic
1010	efficientformerv2_s1.snap_dist_in1k	224	94.100	5.900	98.680	1.320	6.19	0.950	bicubic
1011	convnext_pico_ols.d1_in1k	224	94.100	5.900	98.540	1.460	9.06	1.000	bicubic
1012	wide_resnet101_2.tv2_in1k	176	94.090	5.910	98.590	1.410	126.89	0.965	bilinear
1013	xcit_tiny_24_p16_224.fb_in1k	224	94.080	5.920	98.510	1.490	12.12	1.000	bicubic
1014	ese_vovnet39b.ra_in1k	224	94.070	5.930	98.590	1.410	24.57	0.950	bicubic
1015	coat_lite_mini.in1k	224	94.060	5.940	98.530	1.470	11.01	0.900	bicubic
1016	resnet101.a3_in1k	224	94.050	5.950	98.650	1.350	44.55	0.950	bicubic
1017	eca_halonext26ts.c1_in1k	256	94.050	5.950	98.500	1.500	10.76	0.940	bicubic
1018	halonet26t.a1h_in1k	256	94.050	5.950	98.470	1.530	12.48	0.950	bicubic
1019	resnext50d_32x4d.bt_in1k	224	94.040	5.960	98.500	1.500	25.05	0.950	bicubic
1020	resnext50_32x4d.ra_in1k	224	94.040	5.960	98.410	1.590	25.03	0.950	bicubic
1021	efficientvit_b1.r256_in1k	256	94.040	5.960	98.370	1.630	9.10	1.000	bicubic
1022	dpn131.mx_in1k	224	94.030	5.970	98.710	1.290	79.25	0.875	bicubic
1023	resnet50.b2k_in1k	224	94.030	5.970	98.560	1.440	25.56	1.000	bicubic
1024	resnext50_32x4d.a1_in1k	224	94.030	5.970	98.140	1.860	25.03	1.000	bicubic
1025	hrnet_w64.ms_in1k	224	94.020	5.980	98.630	1.370	128.06	0.875	bilinear
1026	resnet152.tv2_in1k	176	94.020	5.980	98.360	1.640	60.19	0.965	bilinear
1027	resmlp_24_224.fb_in1k	224	94.020	5.980	98.350	1.650	30.02	0.875	bicubic
1028	resnet50d.a2_in1k	224	94.020	5.980	98.340	1.660	25.58	1.000	bicubic
1029	fbnetv3_b.ra2_in1k	256	94.000	6.000	98.630	1.370	8.60	0.950	bilinear
1030	resnet50.b1k_in1k	224	94.000	6.000	98.480	1.520	25.56	1.000	bicubic
1031	fastvit_t12.apple_in1k	256	93.990	6.010	98.600	1.400	7.55	0.900	bicubic
1032	mobilevitv2_125.cvnets_in1k	256	93.990	6.010	98.560	1.440	7.48	0.888	bicubic
1033	resnet50.am_in1k	224	93.990	6.010	98.520	1.480	25.56	0.875	bicubic
1034	dla102x2.in1k	224	93.990	6.010	98.510	1.490	41.28	0.875	bilinear
1035	seresnet50.a1_in1k	224	93.990	6.010	98.400	1.600	28.09	1.000	bicubic
1036	resnext50_32x4d.a2_in1k	224	93.990	6.010	98.230	1.770	25.03	1.000	bicubic
1037	mobilenetv4_conv_medium.e500_r224_in1k	224	93.980	6.020	98.750	1.250	9.72	1.000	bicubic
1038	ecaresnet26t.ra2_in1k	256	93.980	6.020	98.680	1.320	16.01	0.950	bicubic
1039	resnetblur50.bt_in1k	224	93.980	6.020	98.520	1.480	25.56	0.950	bicubic
1040	edgenext_small_rw.sw_in1k	256	93.980	6.020	98.500	1.500	7.83	1.000	bicubic
1041	dpn68b.ra_in1k	288	93.980	6.020	98.350	1.650	12.61	1.000	bicubic
1042	convnext_pico.d1_in1k	224	93.970	6.030	98.590	1.410	9.05	0.950	bicubic
1043	tf_efficientnetv2_b1.in1k	240	93.960	6.040	98.630	1.370	8.14	0.882	bicubic
1044	hrnet_w48.ms_in1k	224	93.940	6.060	98.600	1.400	77.47	0.875	bilinear
1045	resnet50.tv2_in1k	176	93.930	6.070	98.570	1.430	25.56	0.965	bilinear
1046	resnet50.d_in1k	224	93.930	6.070	98.340	1.660	25.56	1.000	bicubic
1047	convnext_femto.d1_in1k	288	93.920	6.080	98.530	1.470	5.22	0.950	bicubic
1048	fbnetv3_d.ra2_in1k	256	93.910	6.090	98.740	1.260	10.31	0.950	bilinear
1049	tf_efficientnet_cc_b1_8e.in1k	240	93.910	6.090	98.270	1.730	39.72	0.882	bicubic
1050	regnetx_064.pycls_in1k	224	93.900	6.100	98.630	1.370	26.21	0.875	bicubic
1051	rexnet_130.nav_in1k	224	93.900	6.100	98.400	1.600	7.56	0.875	bicubic
1052	vit_small_patch16_224.augreg_in1k	224	93.890	6.110	98.440	1.560	22.05	0.900	bicubic
1053	convnext_femto_ols.d1_in1k	288	93.880	6.120	98.610	1.390	5.23	0.950	bicubic
1054	repvgg_b2g4.rvgg_in1k	224	93.870	6.130	98.610	1.390	61.76	0.875	bilinear
1055	lambda_resnet26t.c1_in1k	256	93.870	6.130	98.600	1.400	10.96	0.940	bicubic
1056	efficientnet_b0.ra4_e3600_r224_in1k	256	93.870	6.130	98.390	1.610	5.29	1.000	bicubic
1057	seresnet50.a2_in1k	224	93.870	6.130	98.360	1.640	28.09	1.000	bicubic
1058	resnet50.a2_in1k	224	93.870	6.130	98.300	1.700	25.56	1.000	bicubic
1059	regnety_040.pycls_in1k	224	93.860	6.140	98.640	1.360	20.65	0.875	bicubic
1060	regnetx_080.pycls_in1k	224	93.850	6.150	98.520	1.480	39.57	0.875	bicubic
1061	efficientnet_em.ra2_in1k	240	93.840	6.160	98.810	1.190	6.90	0.882	bicubic
1062	hgnetv2_b0.ssld_stage2_ft_in1k	288	93.830	6.170	98.760	1.240	6.00	1.000	bicubic
1063	resnet32ts.ra2_in1k	288	93.830	6.170	98.660	1.340	17.96	1.000	bicubic
1064	resnext50_32x4d.gluon_in1k	224	93.830	6.170	98.410	1.590	25.03	0.875	bicubic
1065	pvt_v2_b1.in1k	224	93.820	6.180	98.660	1.340	14.01	0.900	bicubic
1066	tf_efficientnetv2_b2.in1k	208	93.820	6.180	98.360	1.640	10.10	0.890	bicubic
1067	resnext101_32x8d.tv_in1k	224	93.810	6.190	98.580	1.420	88.79	0.875	bilinear
1068	eca_botnext26ts_256.c1_in1k	256	93.810	6.190	98.500	1.500	10.59	0.950	bicubic
1069	cspresnet50.ra_in1k	256	93.800	6.200	98.630	1.370	21.62	0.887	bilinear
1070	xception65.tf_in1k	299	93.790	6.210	98.430	1.570	39.92	0.903	bicubic
1071	resnet50d.gluon_in1k	224	93.790	6.210	98.390	1.610	25.58	0.875	bicubic
1072	resnet50.ram_in1k	224	93.790	6.210	98.380	1.620	25.56	0.950	bicubic
1073	pit_xs_distilled_224.in1k	224	93.770	6.230	98.620	1.380	11.00	0.900	bicubic
1074	mobileone_s4.apple_in1k	224	93.770	6.230	98.250	1.750	14.95	0.900	bilinear
1075	resnet101.tv2_in1k	176	93.760	6.240	98.360	1.640	44.55	0.965	bilinear
1076	wide_resnet101_2.tv_in1k	224	93.750	6.250	98.530	1.470	126.89	0.875	bilinear
1077	resnet33ts.ra2_in1k	256	93.740	6.260	98.530	1.470	19.68	1.000	bicubic
1078	tf_efficientnet_b1.ap_in1k	240	93.740	6.260	98.370	1.630	7.79	0.882	bicubic
1079	res2net101_26w_4s.in1k	224	93.740	6.260	98.320	1.680	45.21	0.875	bilinear
1080	legacy_seresnext50_32x4d.in1k	224	93.730	6.270	98.590	1.410	27.56	0.875	bilinear
1081	lambda_resnet26rpt_256.c1_in1k	256	93.730	6.270	98.490	1.510	10.99	0.940	bicubic
1082	resnet101.gluon_in1k	224	93.730	6.270	98.400	1.600	44.55	0.875	bicubic
1083	vit_relpos_base_patch32_plus_rpn_256.sw_in1k	256	93.730	6.270	98.110	1.890	119.42	0.900	bicubic
1084	resnet50.a1h_in1k	176	93.720	6.280	98.400	1.600	25.56	1.000	bicubic
1085	tf_efficientnet_b0.ns_jft_in1k	224	93.690	6.310	98.630	1.370	5.29	0.875	bicubic
1086	regnety_008_tv.tv2_in1k	224	93.690	6.310	98.490	1.510	6.43	0.965	bicubic
1087	resnet101c.gluon_in1k	224	93.680	6.320	98.440	1.560	44.57	0.875	bicubic
1088	vit_tiny_patch16_384.augreg_in21k_ft_in1k	384	93.670	6.330	98.600	1.400	5.79	1.000	bicubic
1089	resnet50s.gluon_in1k	224	93.670	6.330	98.460	1.540	25.68	0.875	bicubic
1090	resnet34d.ra2_in1k	288	93.650	6.350	98.570	1.430	21.82	0.950	bicubic
1091	resnext50_32x4d.a3_in1k	224	93.650	6.350	98.510	1.490	25.03	0.950	bicubic
1092	vit_base_patch32_384.augreg_in1k	384	93.640	6.360	98.400	1.600	88.30	1.000	bicubic
1093	resnet32ts.ra2_in1k	256	93.630	6.370	98.390	1.610	17.96	1.000	bicubic
1094	vit_base_patch16_224.augreg_in1k	224	93.630	6.370	98.240	1.760	86.57	0.900	bicubic
1095	resnet152.a3_in1k	160	93.630	6.370	98.230	1.770	60.19	0.950	bicubic
1096	hgnetv2_b0.ssld_stage1_in22k_in1k	288	93.610	6.390	98.710	1.290	6.00	1.000	bicubic
1097	repvit_m0_9.dist_450e_in1k	224	93.610	6.390	98.510	1.490	5.49	0.950	bicubic
1098	resnext50_32x4d.tv2_in1k	176	93.610	6.390	98.170	1.830	25.03	0.965	bilinear
1099	hrnet_w44.ms_in1k	224	93.600	6.400	98.690	1.310	67.06	0.875	bilinear
1100	visformer_tiny.in1k	224	93.590	6.410	98.510	1.490	10.32	0.900	bicubic
1101	cait_xxs24_224.fb_dist_in1k	224	93.580	6.420	98.460	1.540	11.96	1.000	bicubic
1102	coat_tiny.in1k	224	93.580	6.420	98.420	1.580	5.50	0.900	bicubic
1103	seresnext26t_32x4d.bt_in1k	288	93.560	6.440	98.380	1.620	16.81	0.950	bicubic
1104	hgnetv2_b1.ssld_stage2_ft_in1k	224	93.550	6.450	98.760	1.240	6.34	1.000	bicubic
1105	regnetx_040.pycls_in1k	224	93.550	6.450	98.570	1.430	22.12	0.875	bicubic
1106	efficientvit_b1.r224_in1k	224	93.540	6.460	98.330	1.670	9.10	0.950	bicubic
1107	resnet50d.a3_in1k	224	93.520	6.480	98.460	1.540	25.58	0.950	bicubic
1108	botnet26t_256.c1_in1k	256	93.520	6.480	98.320	1.680	12.49	0.950	bicubic
1109	hrnet_w18.ms_aug_in1k	224	93.510	6.490	98.600	1.400	21.30	0.950	bilinear
1110	repghostnet_200.in1k	224	93.510	6.490	98.530	1.470	9.80	0.875	bicubic
1111	hrnet_w32.ms_in1k	224	93.510	6.490	98.440	1.560	41.23	0.875	bilinear
1112	tf_efficientnet_b1.aa_in1k	240	93.510	6.490	98.360	1.640	7.79	0.882	bicubic
1113	repvgg_b2.rvgg_in1k	224	93.500	6.500	98.740	1.260	89.02	0.875	bilinear
1114	hrnet_w40.ms_in1k	224	93.490	6.510	98.590	1.410	57.56	0.875	bilinear
1115	inception_v3.gluon_in1k	299	93.490	6.510	98.520	1.480	23.83	0.875	bicubic
1116	dla102x.in1k	224	93.490	6.510	98.490	1.510	26.31	0.875	bilinear
1117	hgnetv2_b1.ssld_stage1_in22k_in1k	224	93.470	6.530	98.710	1.290	6.34	1.000	bicubic
1118	legacy_xception.tf_in1k	299	93.470	6.530	98.530	1.470	22.86	0.897	bicubic
1119	xcit_nano_12_p8_384.fb_dist_in1k	384	93.470	6.530	98.510	1.490	3.05	1.000	bicubic
1120	resnet50.ra_in1k	224	93.470	6.530	98.390	1.610	25.56	0.950	bicubic
1121	regnety_032.pycls_in1k	224	93.460	6.540	98.620	1.380	19.44	0.875	bicubic
1122	legacy_seresnet152.in1k	224	93.450	6.550	98.360	1.640	66.82	0.875	bilinear
1123	nf_regnet_b1.ra2_in1k	256	93.440	6.560	98.590	1.410	10.22	0.900	bicubic
1124	fbnetv3_d.ra2_in1k	224	93.440	6.560	98.440	1.560	10.31	0.950	bilinear
1125	repvit_m0_9.dist_300e_in1k	224	93.430	6.570	98.730	1.270	5.49	0.950	bicubic
1126	res2net50_26w_6s.in1k	224	93.420	6.580	98.260	1.740	37.05	0.875	bilinear
1127	mixnet_l.ft_in1k	224	93.420	6.580	98.230	1.770	7.33	0.875	bicubic
1128	seresnext26d_32x4d.bt_in1k	288	93.410	6.590	98.350	1.650	16.81	0.950	bicubic
1129	xcit_tiny_12_p16_224.fb_dist_in1k	224	93.400	6.600	98.500	1.500	6.72	1.000	bicubic
1130	resnest26d.gluon_in1k	224	93.390	6.610	98.610	1.390	17.07	0.875	bilinear
1131	xception41.tf_in1k	299	93.390	6.610	98.410	1.590	26.97	0.903	bicubic
1132	levit_128.fb_dist_in1k	224	93.390	6.610	98.380	1.620	9.21	0.900	bicubic
1133	res2net50_26w_8s.in1k	224	93.390	6.610	98.170	1.830	48.40	0.875	bilinear
1134	resnet50.bt_in1k	224	93.380	6.620	98.500	1.500	25.56	0.950	bicubic
1135	levit_conv_128.fb_dist_in1k	224	93.370	6.630	98.380	1.620	9.21	0.900	bicubic
1136	cs3darknet_m.c2ns_in1k	288	93.350	6.650	98.620	1.380	9.31	0.950	bicubic
1137	inception_v3.tf_in1k	299	93.350	6.650	98.040	1.960	23.83	0.875	bicubic
1138	legacy_seresnet101.in1k	224	93.340	6.660	98.490	1.510	49.33	0.875	bilinear
1139	dla169.in1k	224	93.330	6.670	98.600	1.400	53.39	0.875	bilinear
1140	repvgg_b1.rvgg_in1k	224	93.330	6.670	98.510	1.490	57.42	0.875	bilinear
1141	resnet152.tv_in1k	224	93.330	6.670	98.380	1.620	60.19	0.875	bilinear
1142	selecsls60b.in1k	224	93.330	6.670	98.270	1.730	32.77	0.875	bicubic
1143	repvit_m1.dist_in1k	224	93.320	6.680	98.420	1.580	5.49	0.950	bicubic
1144	bat_resnext26ts.ch_in1k	256	93.320	6.680	98.350	1.650	10.73	0.900	bicubic
1145	fbnetv3_b.ra2_in1k	224	93.300	6.700	98.450	1.550	8.60	0.950	bilinear
1146	mobilevitv2_100.cvnets_in1k	256	93.290	6.710	98.250	1.750	4.90	0.888	bicubic
1147	tf_mixnet_l.in1k	224	93.290	6.710	98.030	1.970	7.33	0.875	bicubic
1148	efficientnet_b1.ft_in1k	256	93.280	6.720	98.240	1.760	7.79	1.000	bicubic
1149	coat_lite_tiny.in1k	224	93.260	6.740	98.270	1.730	5.72	0.900	bicubic
1150	convnextv2_femto.fcmae_ft_in1k	224	93.230	6.770	98.440	1.560	5.23	0.950	bicubic
1151	mobilevit_s.cvnets_in1k	256	93.210	6.790	98.450	1.550	5.58	0.900	bicubic
1152	efficientnet_es.ra_in1k	224	93.200	6.800	98.410	1.590	5.44	0.875	bicubic
1153	hrnet_w30.ms_in1k	224	93.200	6.800	98.410	1.590	37.71	0.875	bilinear
1154	wide_resnet50_2.tv_in1k	224	93.200	6.800	98.340	1.660	68.88	0.875	bilinear
1155	gcresnext26ts.ch_in1k	288	93.190	6.810	98.290	1.710	10.48	1.000	bicubic
1156	resnet26t.ra2_in1k	320	93.180	6.820	98.500	1.500	16.01	1.000	bicubic
1157	dla60_res2next.in1k	224	93.180	6.820	98.410	1.590	17.03	0.875	bilinear
1158	regnety_016.pycls_in1k	224	93.170	6.830	98.340	1.660	11.20	0.875	bicubic
1159	ese_vovnet19b_dw.ra_in1k	288	93.170	6.830	98.270	1.730	6.54	0.950	bicubic
1160	tf_efficientnetv2_b1.in1k	192	93.170	6.830	98.110	1.890	8.14	0.882	bicubic
1161	dla60_res2net.in1k	224	93.150	6.850	98.410	1.590	20.85	0.875	bilinear
1162	regnetx_032.pycls_in1k	224	93.140	6.860	98.390	1.610	15.30	0.875	bicubic
1163	seresnext26t_32x4d.bt_in1k	224	93.140	6.860	98.280	1.720	16.81	0.950	bicubic
1164	tf_efficientnetv2_b0.in1k	224	93.130	6.870	98.360	1.640	7.14	0.875	bicubic
1165	pit_xs_224.in1k	224	93.120	6.880	98.310	1.690	10.62	0.900	bicubic
1166	resnet26t.ra2_in1k	256	93.110	6.890	98.200	1.800	16.01	1.000	bicubic
1167	dla60x.in1k	224	93.100	6.900	98.490	1.510	17.35	0.875	bilinear
1168	eca_resnext26ts.ch_in1k	288	93.100	6.900	98.430	1.570	10.30	1.000	bicubic
1169	resnet34.a1_in1k	288	93.100	6.900	98.300	1.700	21.80	1.000	bicubic
1170	convnext_atto_ols.a2_in1k	288	93.090	6.910	98.470	1.530	3.70	0.950	bicubic
1171	dpn68b.ra_in1k	224	93.090	6.910	98.080	1.920	12.61	1.000	bicubic
1172	dla102.in1k	224	93.070	6.930	98.550	1.450	33.27	0.875	bilinear
1173	tf_efficientnet_b1.in1k	240	93.070	6.930	98.290	1.710	7.79	0.882	bicubic
1174	ecaresnet50t.a3_in1k	160	93.070	6.930	98.280	1.720	25.57	0.950	bicubic
1175	efficientnet_b0.ra4_e3600_r224_in1k	224	93.040	6.960	98.210	1.790	5.29	1.000	bicubic
1176	rexnet_100.nav_in1k	224	93.040	6.960	98.190	1.810	4.80	0.875	bicubic
1177	resnet101.a3_in1k	160	93.040	6.960	98.150	1.850	44.55	0.950	bicubic
1178	resnet50c.gluon_in1k	224	93.020	6.980	98.360	1.640	25.58	0.875	bicubic
1179	selecsls60.in1k	224	93.020	6.980	98.310	1.690	30.67	0.875	bicubic
1180	repvgg_b1g4.rvgg_in1k	224	93.010	6.990	98.410	1.590	39.97	0.875	bilinear
1181	ghostnetv2_160.in1k	224	93.010	6.990	98.230	1.770	12.39	0.875	bicubic
1182	cs3darknet_focus_m.c2ns_in1k	288	92.990	7.010	98.360	1.640	9.30	0.950	bicubic
1183	seresnext26ts.ch_in1k	288	92.980	7.020	98.450	1.550	10.39	1.000	bicubic
1184	hardcorenas_f.miil_green_in1k	224	92.980	7.020	98.140	1.860	8.20	0.875	bilinear
1185	convnextv2_atto.fcmae_ft_in1k	288	92.970	7.030	98.060	1.940	3.71	0.950	bicubic
1186	tf_efficientnet_em.in1k	240	92.950	7.050	98.210	1.790	6.90	0.882	bicubic
1187	legacy_seresnet50.in1k	224	92.950	7.050	98.200	1.800	28.09	0.875	bilinear
1188	poolformerv2_s12.sail_in1k	224	92.940	7.060	98.360	1.640	11.89	1.000	bicubic
1189	resnetrs50.tf_in1k	160	92.930	7.070	98.230	1.770	35.69	0.910	bicubic
1190	crossvit_9_dagger_240.in1k	240	92.930	7.070	98.210	1.790	8.78	0.875	bicubic
1191	cs3darknet_m.c2ns_in1k	256	92.920	7.080	98.340	1.660	9.31	0.950	bicubic
1192	mobileone_s3.apple_in1k	224	92.910	7.090	98.180	1.820	10.17	0.900	bilinear
1193	res2next50.in1k	224	92.900	7.100	98.210	1.790	24.67	0.875	bilinear
1194	seresnext26d_32x4d.bt_in1k	224	92.900	7.100	98.120	1.880	16.81	0.950	bicubic
1195	inception_v3.tf_adv_in1k	299	92.890	7.110	98.130	1.870	23.83	0.875	bicubic
1196	gmixer_24_224.ra3_in1k	224	92.870	7.130	97.890	2.110	24.72	0.875	bicubic
1197	convnext_femto_ols.d1_in1k	224	92.860	7.140	98.370	1.630	5.23	0.950	bicubic
1198	mobileone_s2.apple_in1k	224	92.830	7.170	98.250	1.750	7.88	0.900	bilinear
1199	tf_efficientnet_cc_b0_8e.in1k	224	92.830	7.170	98.170	1.830	24.01	0.875	bicubic
1200	dpn68b.mx_in1k	224	92.820	7.180	98.150	1.850	12.61	0.875	bicubic
1201	resmlp_12_224.fb_distilled_in1k	224	92.820	7.180	98.130	1.870	15.35	0.875	bicubic
1202	resnet101.tv_in1k	224	92.810	7.190	98.230	1.770	44.55	0.875	bilinear
1203	efficientnet_b1_pruned.in1k	240	92.790	7.210	98.040	1.960	6.33	0.882	bicubic
1204	resnet34d.ra2_in1k	224	92.780	7.220	98.300	1.700	21.82	0.950	bicubic
1205	hrnet_w18_small_v2.gluon_in1k	224	92.770	7.230	98.410	1.590	15.60	0.875	bicubic
1206	resnet50.a3_in1k	224	92.770	7.230	98.170	1.830	25.56	0.950	bicubic
1207	convnext_atto.d2_in1k	288	92.770	7.230	98.050	1.950	3.70	0.950	bicubic
1208	densenet201.tv_in1k	224	92.760	7.240	98.230	1.770	20.01	0.875	bicubic
1209	inception_v3.tv_in1k	299	92.760	7.240	97.970	2.030	23.83	0.875	bicubic
1210	resnext50_32x4d.tv_in1k	224	92.750	7.250	98.260	1.740	25.03	0.875	bilinear
1211	resnet34.a2_in1k	288	92.750	7.250	97.980	2.020	21.80	1.000	bicubic
1212	convnext_femto.d1_in1k	224	92.730	7.270	98.270	1.730	5.22	0.950	bicubic
1213	gcresnext26ts.ch_in1k	256	92.730	7.270	98.180	1.820	10.48	1.000	bicubic
1214	res2net50_14w_8s.in1k	224	92.720	7.280	98.190	1.810	25.06	0.875	bilinear
1215	hgnetv2_b0.ssld_stage2_ft_in1k	224	92.680	7.320	98.380	1.620	6.00	1.000	bicubic
1216	tf_efficientnet_lite2.in1k	260	92.680	7.320	98.240	1.760	6.09	0.890	bicubic
1217	resnext50_32x4d.a3_in1k	160	92.680	7.320	97.990	2.010	25.03	0.950	bicubic
1218	eca_resnext26ts.ch_in1k	256	92.670	7.330	98.180	1.820	10.30	1.000	bicubic
1219	efficientnet_b0.ra_in1k	224	92.670	7.330	98.080	1.920	5.29	0.875	bicubic
1220	legacy_seresnext26_32x4d.in1k	224	92.640	7.360	98.110	1.890	16.79	0.875	bicubic
1221	densenetblur121d.ra_in1k	288	92.630	7.370	98.240	1.760	8.00	0.950	bicubic
1222	poolformer_s12.sail_in1k	224	92.630	7.370	98.190	1.810	11.92	0.900	bicubic
1223	tf_efficientnet_cc_b0_4e.in1k	224	92.630	7.370	98.090	1.910	13.31	0.875	bicubic
1224	tf_efficientnet_lite1.in1k	240	92.600	7.400	98.040	1.960	5.42	0.882	bicubic
1225	seresnext26ts.ch_in1k	256	92.590	7.410	98.260	1.740	10.39	1.000	bicubic
1226	regnetx_008.tv2_in1k	224	92.590	7.410	98.180	1.820	7.26	0.965	bicubic
1227	xcit_tiny_12_p16_224.fb_in1k	224	92.580	7.420	98.250	1.750	6.72	1.000	bicubic
1228	hardcorenas_e.miil_green_in1k	224	92.570	7.430	98.130	1.870	8.07	0.875	bilinear
1229	res2net50_48w_2s.in1k	224	92.560	7.440	98.070	1.930	25.29	0.875	bilinear
1230	densenet121.ra_in1k	288	92.550	7.450	98.210	1.790	7.98	0.950	bicubic
1231	resnet50.gluon_in1k	224	92.550	7.450	98.190	1.810	25.56	0.875	bicubic
1232	densenet161.tv_in1k	224	92.540	7.460	98.300	1.700	28.68	0.875	bicubic
1233	fastvit_t8.apple_dist_in1k	256	92.540	7.460	98.030	1.970	4.03	0.900	bicubic
1234	efficientnet_b1.ft_in1k	224	92.520	7.480	97.890	2.110	7.79	1.000	bicubic
1235	res2net50_26w_4s.in1k	224	92.510	7.490	98.050	1.950	25.70	0.875	bilinear
1236	resnet26d.bt_in1k	288	92.490	7.510	98.220	1.780	16.01	0.950	bicubic
1237	mobilenetv2_120d.ra_in1k	224	92.480	7.520	98.040	1.960	5.83	0.875	bicubic
1238	tinynet_a.in1k	192	92.460	7.540	98.080	1.920	6.19	0.875	bicubic
1239	hardcorenas_d.miil_green_in1k	224	92.460	7.540	98.020	1.980	7.50	0.875	bilinear
1240	hgnetv2_b0.ssld_stage1_in22k_in1k	224	92.440	7.560	98.340	1.660	6.00	1.000	bicubic
1241	resnet50d.a3_in1k	160	92.440	7.560	98.050	1.950	25.58	0.950	bicubic
1242	efficientvit_m5.r224_in1k	224	92.440	7.560	97.990	2.010	12.47	0.875	bicubic
1243	mixnet_m.ft_in1k	224	92.440	7.560	97.860	2.140	5.01	0.875	bicubic
1244	convmixer_1024_20_ks9_p14.in1k	224	92.430	7.570	98.280	1.720	24.38	0.960	bicubic
1245	ese_vovnet19b_dw.ra_in1k	224	92.420	7.580	98.040	1.960	6.54	0.950	bicubic
1246	resnet34.bt_in1k	288	92.410	7.590	98.150	1.850	21.80	0.950	bicubic
1247	skresnet34.ra_in1k	224	92.380	7.620	98.140	1.860	22.28	0.875	bicubic
1248	repghostnet_150.in1k	224	92.370	7.630	98.060	1.940	6.58	0.875	bicubic
1249	hrnet_w18.ms_in1k	224	92.350	7.650	98.290	1.710	21.30	0.875	bilinear
1250	tf_mixnet_m.in1k	224	92.350	7.650	97.890	2.110	5.01	0.875	bicubic
1251	ghostnetv2_130.in1k	224	92.320	7.680	98.070	1.930	8.96	0.875	bicubic
1252	selecsls42b.in1k	224	92.300	7.700	98.140	1.860	32.46	0.875	bicubic
1253	cs3darknet_focus_m.c2ns_in1k	256	92.290	7.710	98.260	1.740	9.30	0.950	bicubic
1254	tf_efficientnetv2_b0.in1k	192	92.290	7.710	98.200	1.800	7.14	0.875	bicubic
1255	tf_efficientnet_b0.aa_in1k	224	92.280	7.720	97.990	2.010	5.29	0.875	bicubic
1256	tf_efficientnet_b0.ap_in1k	224	92.260	7.740	98.020	1.980	5.29	0.875	bicubic
1257	mobilenetv3_large_100.miil_in21k_ft_in1k	224	92.250	7.750	97.650	2.350	5.48	0.875	bilinear
1258	resnet26d.bt_in1k	224	92.230	7.770	98.080	1.920	16.01	0.950	bicubic
1259	mobilenetv1_100h.ra4_e3600_r224_in1k	256	92.230	7.770	98.000	2.000	5.28	0.950	bicubic
1260	resmlp_12_224.fb_in1k	224	92.210	7.790	98.150	1.850	15.35	0.875	bicubic
1261	dla60.in1k	224	92.210	7.790	98.100	1.900	22.04	0.875	bilinear
1262	regnetx_016.pycls_in1k	224	92.180	7.820	98.200	1.800	9.19	0.875	bicubic
1263	gernet_s.idstcv_in1k	224	92.160	7.840	98.240	1.760	8.17	0.875	bilinear
1264	resnext26ts.ra2_in1k	288	92.160	7.840	98.020	1.980	10.30	1.000	bicubic
1265	fastvit_t8.apple_in1k	256	92.140	7.860	97.890	2.110	4.03	0.900	bicubic
1266	xcit_nano_12_p8_224.fb_dist_in1k	224	92.110	7.890	98.170	1.830	3.05	1.000	bicubic
1267	seresnet50.a3_in1k	224	92.100	7.900	98.040	1.960	28.09	0.950	bicubic
1268	tf_efficientnet_b0.in1k	224	92.090	7.910	97.920	2.080	5.29	0.875	bicubic
1269	mobilenetv1_100.ra4_e3600_r224_in1k	256	92.090	7.910	97.820	2.180	4.23	0.950	bicubic
1270	densenetblur121d.ra_in1k	224	92.070	7.930	97.960	2.040	8.00	0.950	bicubic
1271	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	384	92.050	7.950	98.290	1.710	6.36	1.000	bicubic
1272	vit_small_patch32_224.augreg_in21k_ft_in1k	224	92.040	7.960	98.230	1.770	22.88	0.900	bicubic
1273	hardcorenas_c.miil_green_in1k	224	92.040	7.960	97.840	2.160	5.52	0.875	bilinear
1274	resnet26.bt_in1k	288	92.030	7.970	98.200	1.800	16.00	0.950	bicubic
1275	dpn68.mx_in1k	224	92.000	8.000	98.020	1.980	12.61	0.875	bicubic
1276	resnext26ts.ra2_in1k	256	91.980	8.020	97.920	2.080	10.30	1.000	bicubic
1277	convnextv2_atto.fcmae_ft_in1k	224	91.980	8.020	97.890	2.110	3.71	0.950	bicubic
1278	tf_efficientnet_es.in1k	224	91.980	8.020	97.860	2.140	5.44	0.875	bicubic
1279	densenet169.tv_in1k	224	91.960	8.040	98.090	1.910	14.15	0.875	bicubic
1280	efficientformerv2_s0.snap_dist_in1k	224	91.950	8.050	97.890	2.110	3.60	0.950	bicubic
1281	repvgg_a2.rvgg_in1k	224	91.940	8.060	98.130	1.870	28.21	0.875	bilinear
1282	levit_128s.fb_dist_in1k	224	91.940	8.060	98.070	1.930	7.78	0.900	bicubic
1283	levit_conv_128s.fb_dist_in1k	224	91.940	8.060	98.070	1.930	7.78	0.900	bicubic
1284	mixnet_s.ft_in1k	224	91.940	8.060	97.700	2.300	4.13	0.875	bicubic
1285	xcit_nano_12_p16_384.fb_dist_in1k	384	91.900	8.100	98.040	1.960	3.05	1.000	bicubic
1286	resnet50.tv_in1k	224	91.890	8.110	98.050	1.950	25.56	0.875	bilinear
1287	repghostnet_130.in1k	224	91.880	8.120	97.930	2.070	5.48	0.875	bicubic
1288	mixer_b16_224.goog_in21k_ft_in1k	224	91.860	8.140	97.200	2.800	59.88	0.875	bicubic
1289	hardcorenas_b.miil_green_in1k	224	91.840	8.160	97.770	2.230	5.18	0.875	bilinear
1290	mobilenetv2_140.ra_in1k	224	91.830	8.170	97.880	2.120	6.11	0.875	bicubic
1291	convnext_atto_ols.a2_in1k	224	91.810	8.190	97.960	2.040	3.70	0.950	bicubic
1292	convnext_atto.d2_in1k	224	91.790	8.210	97.910	2.090	3.70	0.950	bicubic
1293	vit_tiny_patch16_224.augreg_in21k_ft_in1k	224	91.770	8.230	98.040	1.960	5.72	0.900	bicubic
1294	densenet121.ra_in1k	224	91.760	8.240	98.050	1.950	7.98	0.950	bicubic
1295	resnet34.a1_in1k	224	91.740	8.260	97.830	2.170	21.80	1.000	bicubic
1296	regnety_008.pycls_in1k	224	91.730	8.270	98.170	1.830	6.26	0.875	bicubic
1297	resnest14d.gluon_in1k	224	91.720	8.280	97.870	2.130	10.61	0.875	bilinear
1298	edgenext_x_small.in1k	288	91.720	8.280	97.590	2.410	2.34	1.000	bicubic
1299	mobilevitv2_075.cvnets_in1k	256	91.710	8.290	97.830	2.170	2.87	0.888	bicubic
1300	regnety_004.tv2_in1k	224	91.620	8.380	97.910	2.090	4.34	0.965	bicubic
1301	resnet34.a2_in1k	224	91.520	8.480	97.580	2.420	21.80	1.000	bicubic
1302	tf_mixnet_s.in1k	224	91.510	8.490	97.600	2.400	4.13	0.875	bicubic
1303	regnety_006.pycls_in1k	224	91.430	8.570	97.760	2.240	6.06	0.875	bicubic
1304	resnet50.a3_in1k	160	91.430	8.570	97.630	2.370	25.56	0.950	bicubic
1305	repvgg_b0.rvgg_in1k	224	91.410	8.590	97.980	2.020	15.82	0.875	bilinear
1306	hardcorenas_a.miil_green_in1k	224	91.360	8.640	97.840	2.160	5.26	0.875	bilinear
1307	mobileone_s1.apple_in1k	224	91.360	8.640	97.770	2.230	4.83	0.900	bilinear
1308	semnasnet_100.rmsp_in1k	224	91.360	8.640	97.540	2.460	3.89	0.875	bicubic
1309	mobilenetv3_large_100.ra_in1k	224	91.340	8.660	97.700	2.300	5.48	0.875	bicubic
1310	mobilenetv3_rw.rmsp_in1k	224	91.320	8.680	97.630	2.370	5.48	0.875	bicubic
1311	tf_mobilenetv3_large_100.in1k	224	91.220	8.780	97.660	2.340	5.48	0.875	bilinear
1312	hrnet_w18_small_v2.ms_in1k	224	91.210	8.790	97.900	2.100	15.60	0.875	bilinear
1313	mobilenetv1_100h.ra4_e3600_r224_in1k	224	91.210	8.790	97.760	2.240	5.28	0.950	bicubic
1314	efficientnet_es_pruned.in1k	224	91.190	8.810	97.740	2.260	5.44	0.875	bicubic
1315	mobilenetv1_100.ra4_e3600_r224_in1k	224	91.180	8.820	97.910	2.090	4.23	0.950	bicubic
1316	vit_base_patch32_224.augreg_in1k	224	91.180	8.820	97.370	2.630	88.22	0.900	bicubic
1317	efficientnet_lite0.ra_in1k	224	91.140	8.860	97.640	2.360	4.65	0.875	bicubic
1318	regnetx_008.pycls_in1k	224	91.100	8.900	97.710	2.290	7.26	0.875	bicubic
1319	tf_efficientnet_lite0.in1k	224	91.100	8.900	97.540	2.460	4.65	0.875	bicubic
1320	resnet34.bt_in1k	224	91.080	8.920	97.550	2.450	21.80	0.950	bicubic
1321	edgenext_x_small.in1k	256	91.030	8.970	97.420	2.580	2.34	1.000	bicubic
1322	resnet26.bt_in1k	224	91.020	8.980	97.730	2.270	16.00	0.950	bicubic
1323	mobilenetv4_conv_small.e2400_r224_in1k	256	91.010	8.990	97.680	2.320	3.77	0.950	bicubic
1324	mobilenetv2_110d.ra_in1k	224	91.000	9.000	97.560	2.440	4.52	0.875	bicubic
1325	seresnet50.a3_in1k	160	91.000	9.000	97.410	2.590	28.09	0.950	bicubic
1326	resnet34.gluon_in1k	224	90.980	9.020	97.630	2.370	21.80	0.875	bicubic
1327	xcit_nano_12_p8_224.fb_in1k	224	90.970	9.030	97.790	2.210	3.05	1.000	bicubic
1328	tinynet_b.in1k	188	90.920	9.080	97.670	2.330	3.73	0.875	bicubic
1329	legacy_seresnet34.in1k	224	90.920	9.080	97.570	2.430	21.96	0.875	bilinear
1330	densenet121.tv_in1k	224	90.900	9.100	97.730	2.270	7.98	0.875	bicubic
1331	ghostnetv2_100.in1k	224	90.900	9.100	97.700	2.300	6.16	0.875	bicubic
1332	mobilevit_xs.cvnets_in1k	256	90.840	9.160	97.900	2.100	2.32	0.900	bicubic
1333	pit_ti_distilled_224.in1k	224	90.800	9.200	97.630	2.370	5.10	0.900	bicubic
1334	fbnetc_100.rmsp_in1k	224	90.780	9.220	97.220	2.780	5.57	0.875	bilinear
1335	dla34.in1k	224	90.760	9.240	97.660	2.340	15.74	0.875	bilinear
1336	repghostnet_111.in1k	224	90.750	9.250	97.440	2.560	4.54	0.875	bicubic
1337	deit_tiny_distilled_patch16_224.fb_in1k	224	90.740	9.260	97.580	2.420	5.91	0.900	bicubic
1338	crossvit_9_240.in1k	240	90.660	9.340	97.740	2.260	8.55	0.875	bicubic
1339	resnet18.fb_swsl_ig1b_ft_in1k	224	90.660	9.340	97.700	2.300	11.69	0.875	bilinear
1340	mnasnet_100.rmsp_in1k	224	90.650	9.350	97.510	2.490	4.38	0.875	bicubic
1341	regnetx_004_tv.tv2_in1k	224	90.640	9.360	97.600	2.400	5.50	0.965	bicubic
1342	mobilenetv4_conv_small.e1200_r224_in1k	256	90.640	9.360	97.510	2.490	3.77	0.950	bicubic
1343	convit_tiny.fb_in1k	224	90.620	9.380	97.740	2.260	5.71	0.875	bicubic
1344	efficientvit_m4.r224_in1k	224	90.600	9.400	97.590	2.410	8.80	0.875	bicubic
1345	repvgg_a1.rvgg_in1k	224	90.590	9.410	97.640	2.360	14.09	0.875	bilinear
1346	regnety_004.pycls_in1k	224	90.510	9.490	97.550	2.450	4.34	0.875	bicubic
1347	regnetx_006.pycls_in1k	224	90.330	9.670	97.430	2.570	6.20	0.875	bicubic
1348	repghostnet_100.in1k	224	90.320	9.680	97.490	2.510	4.07	0.875	bicubic
1349	spnasnet_100.rmsp_in1k	224	90.320	9.680	97.190	2.810	4.42	0.875	bilinear
1350	resnet18d.ra2_in1k	288	90.310	9.690	97.560	2.440	11.71	0.950	bicubic
1351	resnet18.fb_ssl_yfcc100m_ft_in1k	224	90.250	9.750	97.560	2.440	11.69	0.875	bilinear
1352	crossvit_tiny_240.in1k	240	90.230	9.770	97.610	2.390	7.01	0.875	bicubic
1353	ghostnet_100.in1k	224	90.200	9.800	97.250	2.750	5.18	0.875	bicubic
1354	vgg19_bn.tv_in1k	224	90.120	9.880	97.580	2.420	143.68	0.875	bilinear
1355	semnasnet_075.rmsp_in1k	224	90.090	9.910	97.410	2.590	2.91	0.875	bicubic
1356	vgg16_bn.tv_in1k	224	90.090	9.910	97.370	2.630	138.37	0.875	bilinear
1357	mobilenetv4_conv_small.e2400_r224_in1k	224	89.970	10.030	97.200	2.800	3.77	0.950	bicubic
1358	pit_ti_224.in1k	224	89.940	10.060	97.440	2.560	4.85	0.900	bicubic
1359	resnet34.tv_in1k	224	89.930	10.070	97.340	2.660	21.80	0.875	bilinear
1360	resnet34.a3_in1k	224	89.920	10.080	97.170	2.830	21.80	0.950	bicubic
1361	efficientvit_m3.r224_in1k	224	89.880	10.120	97.540	2.460	6.90	0.875	bicubic
1362	vit_base_patch32_224.sam_in1k	224	89.740	10.260	97.000	3.000	88.22	0.900	bicubic
1363	resnet18.a1_in1k	288	89.720	10.280	97.100	2.900	11.69	1.000	bicubic
1364	mobilenetv4_conv_small.e1200_r224_in1k	224	89.680	10.320	97.050	2.950	3.77	0.950	bicubic
1365	deit_tiny_patch16_224.fb_in1k	224	89.670	10.330	97.480	2.520	5.72	0.900	bicubic
1366	tf_mobilenetv3_large_075.in1k	224	89.660	10.340	97.230	2.770	3.99	0.875	bilinear
1367	skresnet18.ra_in1k	224	89.660	10.340	97.220	2.780	11.96	0.875	bicubic
1368	xcit_nano_12_p16_224.fb_dist_in1k	224	89.660	10.340	97.090	2.910	3.05	1.000	bicubic
1369	mobilenetv2_100.ra_in1k	224	89.630	10.370	97.140	2.860	3.50	0.875	bicubic
1370	resnet18.a2_in1k	288	89.580	10.420	96.950	3.050	11.69	1.000	bicubic
1371	hrnet_w18_small.gluon_in1k	224	89.470	10.530	97.020	2.980	13.19	0.875	bicubic
1372	resnet18d.ra2_in1k	224	89.320	10.680	97.150	2.850	11.71	0.950	bicubic
1373	vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	224	89.250	10.750	97.210	2.790	6.34	0.900	bicubic
1374	repvgg_a0.rvgg_in1k	224	89.250	10.750	96.910	3.090	9.11	0.875	bilinear
1375	vgg19.tv_in1k	224	89.060	10.940	96.900	3.100	143.67	0.875	bilinear
1376	hrnet_w18_small.ms_in1k	224	89.040	10.960	97.110	2.890	13.19	0.875	bilinear
1377	resnet14t.c3_in1k	224	89.000	11.000	96.700	3.300	10.08	0.950	bicubic
1378	repghostnet_080.in1k	224	88.970	11.030	96.770	3.230	3.28	0.875	bicubic
1379	tf_mobilenetv3_large_minimal_100.in1k	224	88.940	11.060	96.880	3.120	3.92	0.875	bilinear
1380	regnetx_004.pycls_in1k	224	88.930	11.070	97.090	2.910	5.16	0.875	bicubic
1381	legacy_seresnet18.in1k	224	88.900	11.100	96.950	3.050	11.78	0.875	bicubic
1382	edgenext_xx_small.in1k	288	88.870	11.130	96.680	3.320	1.33	1.000	bicubic
1383	vgg13_bn.tv_in1k	224	88.780	11.220	96.970	3.030	133.05	0.875	bilinear
1384	pvt_v2_b0.in1k	224	88.780	11.220	96.870	3.130	3.67	0.900	bicubic
1385	lcnet_100.ra2_in1k	224	88.760	11.240	96.710	3.290	2.95	0.875	bicubic
1386	xcit_nano_12_p16_224.fb_in1k	224	88.600	11.400	96.830	3.170	3.05	1.000	bicubic
1387	vgg16.tv_in1k	224	88.550	11.450	96.790	3.210	138.36	0.875	bilinear
1388	efficientvit_m2.r224_in1k	224	88.460	11.540	96.910	3.090	4.19	0.875	bicubic
1389	resnet18.gluon_in1k	224	88.370	11.630	96.700	3.300	11.69	0.875	bicubic
1390	mobileone_s0.apple_in1k	224	88.320	11.680	96.430	3.570	5.29	0.875	bilinear
1391	edgenext_xx_small.in1k	256	88.280	11.720	96.170	3.830	1.33	1.000	bicubic
1392	mobilevitv2_050.cvnets_in1k	256	88.250	11.750	96.970	3.030	1.37	0.888	bicubic
1393	resnet14t.c3_in1k	176	88.190	11.810	96.600	3.400	10.08	0.950	bicubic
1394	resnet18.a1_in1k	224	88.130	11.870	96.600	3.400	11.69	1.000	bicubic
1395	efficientvit_b0.r224_in1k	224	87.980	12.020	96.080	3.920	3.41	0.950	bicubic
1396	resnet34.a3_in1k	160	87.900	12.100	96.470	3.530	21.80	0.950	bicubic
1397	tinynet_c.in1k	184	87.790	12.210	96.370	3.630	2.46	0.875	bicubic
1398	resnet18.a2_in1k	224	87.590	12.410	96.460	3.540	11.69	1.000	bicubic
1399	vgg11_bn.tv_in1k	224	87.500	12.500	96.810	3.190	132.87	0.875	bilinear
1400	resnet18.tv_in1k	224	87.380	12.620	96.260	3.740	11.69	0.875	bilinear
1401	regnety_002.pycls_in1k	224	87.360	12.640	96.600	3.400	3.16	0.875	bicubic
1402	mixer_l16_224.goog_in21k_ft_in1k	224	87.180	12.820	93.520	6.480	208.20	0.875	bicubic
1403	mobilevit_xxs.cvnets_in1k	256	87.160	12.840	96.100	3.900	1.27	0.900	bicubic
1404	vgg13.tv_in1k	224	87.020	12.980	96.310	3.690	133.05	0.875	bilinear
1405	efficientvit_m1.r224_in1k	224	86.810	13.190	96.000	4.000	2.98	0.875	bicubic
1406	vgg11.tv_in1k	224	86.580	13.420	96.310	3.690	132.86	0.875	bilinear
1407	repghostnet_058.in1k	224	86.510	13.490	95.900	4.100	2.55	0.875	bicubic
1408	resnet18.a3_in1k	224	86.430	13.570	95.900	4.100	11.69	0.950	bicubic
1409	dla60x_c.in1k	224	86.330	13.670	96.090	3.910	1.32	0.875	bilinear
1410	resnet10t.c3_in1k	224	86.250	13.750	95.760	4.240	5.44	0.950	bicubic
1411	regnetx_002.pycls_in1k	224	86.200	13.800	95.970	4.030	2.68	0.875	bicubic
1412	lcnet_075.ra2_in1k	224	86.040	13.960	95.680	4.320	2.36	0.875	bicubic
1413	tf_mobilenetv3_small_100.in1k	224	85.220	14.780	95.780	4.220	2.54	0.875	bilinear
1414	mobilenetv3_small_100.lamb_in1k	224	85.190	14.810	95.630	4.370	2.54	0.875	bicubic
1415	repghostnet_050.in1k	224	85.040	14.960	95.220	4.780	2.31	0.875	bicubic
1416	tinynet_d.in1k	152	84.840	15.160	95.220	4.780	2.34	0.875	bicubic
1417	mnasnet_small.lamb_in1k	224	84.370	15.630	95.170	4.830	2.03	0.875	bicubic
1418	dla46x_c.in1k	224	84.350	15.650	95.240	4.760	1.07	0.875	bilinear
1419	resnet18.a3_in1k	160	84.270	15.730	94.630	5.370	11.69	0.950	bicubic
1420	resnet10t.c3_in1k	176	84.260	15.740	94.850	5.150	5.44	0.950	bicubic
1421	mobilenetv2_050.lamb_in1k	224	83.950	16.050	94.590	5.410	1.97	0.875	bicubic
1422	dla46_c.in1k	224	83.630	16.370	94.920	5.080	1.30	0.875	bilinear
1423	tf_mobilenetv3_small_075.in1k	224	83.500	16.500	94.860	5.140	2.04	0.875	bilinear
1424	mobilenetv3_small_075.lamb_in1k	224	83.110	16.890	94.160	5.840	2.04	0.875	bicubic
1425	efficientvit_m0.r224_in1k	224	82.410	17.590	94.430	5.570	2.35	0.875	bicubic
1426	lcnet_050.ra2_in1k	224	81.720	18.280	93.730	6.270	1.88	0.875	bicubic
1427	tf_mobilenetv3_small_minimal_100.in1k	224	81.320	18.680	93.700	6.300	2.04	0.875	bilinear
1428	tinynet_e.in1k	106	78.990	21.010	92.560	7.440	2.04	0.875	bicubic
1429	mobilenetv3_small_050.lamb_in1k	224	76.980	23.020	91.310	8.690	1.59	0.875	bicubic
1430	test_efficientnet.r160_in1k	160	67.110	32.890	86.100	13.900	0.36	0.875	bicubic
1431	test_byobnet.r160_in1k	160	65.870	34.130	86.270	13.730	0.46	0.875	bicubic
1432	test_vit.r160_in1k	160	62.460	37.540	84.540	15.460	0.37	0.875	bicubic