pytorch-image-models/results/results-imagenet-r-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	98.160	1.840	99.880	0.120	305.08	1.000	bicubic
3	eva02_large_patch14_448.mim_m38m_ft_in22k_in1k	448	98.030	1.970	99.890	0.110	305.08	1.000	bicubic
4	eva_giant_patch14_336.m30m_ft_in22k_in1k	336	98.020	1.980	99.900	0.100	1,013.01	1.000	bicubic
5	eva_giant_patch14_560.m30m_ft_in22k_in1k	560	97.990	2.010	99.860	0.140	1,014.45	1.000	bicubic
6	eva_large_patch14_336.in22k_ft_in22k_in1k	336	97.900	2.100	99.880	0.120	304.53	1.000	bicubic
7	convnextv2_huge.fcmae_ft_in22k_in1k_384	384	97.860	2.140	99.910	0.090	660.29	1.000	bicubic
8	eva02_large_patch14_448.mim_in22k_ft_in1k	448	97.860	2.140	99.800	0.200	305.08	1.000	bicubic
9	eva_giant_patch14_336.clip_ft_in1k	336	97.860	2.140	99.790	0.210	1,013.01	1.000	bicubic
10	eva_large_patch14_336.in22k_ft_in1k	336	97.820	2.180	99.850	0.150	304.53	1.000	bicubic
11	eva02_large_patch14_448.mim_m38m_ft_in1k	448	97.820	2.180	99.830	0.170	305.08	1.000	bicubic
12	beit_large_patch16_384.in22k_ft_in22k_in1k	384	97.820	2.180	99.790	0.210	305.00	1.000	bicubic
13	convnextv2_huge.fcmae_ft_in22k_in1k_512	512	97.810	2.190	99.860	0.140	660.29	1.000	bicubic
14	tf_efficientnet_l2.ns_jft_in1k	800	97.770	2.230	99.890	0.110	480.31	0.960	bicubic
15	maxvit_base_tf_512.in21k_ft_in1k	512	97.770	2.230	99.850	0.150	119.88	1.000	bicubic
16	beit_large_patch16_512.in22k_ft_in22k_in1k	512	97.770	2.230	99.810	0.190	305.67	1.000	bicubic
17	convnext_xxlarge.clip_laion2b_soup_ft_in1k	256	97.770	2.230	99.810	0.190	846.47	1.000	bicubic
18	tf_efficientnet_l2.ns_jft_in1k_475	475	97.770	2.230	99.810	0.190	480.31	0.936	bicubic
19	regnety_1280.swag_ft_in1k	384	97.760	2.240	99.860	0.140	644.81	1.000	bicubic
20	maxvit_xlarge_tf_384.in21k_ft_in1k	384	97.760	2.240	99.850	0.150	475.32	1.000	bicubic
21	maxvit_xlarge_tf_512.in21k_ft_in1k	512	97.760	2.240	99.820	0.180	475.77	1.000	bicubic
22	beitv2_large_patch16_224.in1k_ft_in22k_in1k	224	97.760	2.240	99.790	0.210	304.43	0.950	bicubic
23	eva02_base_patch14_448.mim_in22k_ft_in1k	448	97.710	2.290	99.760	0.240	87.12	1.000	bicubic
24	maxvit_large_tf_384.in21k_ft_in1k	384	97.670	2.330	99.820	0.180	212.03	1.000	bicubic
25	maxvit_large_tf_512.in21k_ft_in1k	512	97.660	2.340	99.730	0.270	212.33	1.000	bicubic
26	caformer_b36.sail_in22k_ft_in1k_384	384	97.650	2.350	99.860	0.140	98.75	1.000	bicubic
27	convnextv2_large.fcmae_ft_in22k_in1k_384	384	97.650	2.350	99.800	0.200	197.96	1.000	bicubic
28	vit_large_patch14_clip_224.openai_ft_in12k_in1k	224	97.640	2.360	99.730	0.270	304.20	1.000	bicubic
29	eva_large_patch14_196.in22k_ft_in22k_in1k	196	97.620	2.380	99.810	0.190	304.14	1.000	bicubic
30	vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k	336	97.620	2.380	99.760	0.240	632.46	1.000	bicubic
31	vit_large_patch14_clip_336.openai_ft_in12k_in1k	336	97.620	2.380	99.730	0.270	304.53	1.000	bicubic
32	eva02_base_patch14_448.mim_in22k_ft_in22k_in1k	448	97.600	2.400	99.820	0.180	87.12	1.000	bicubic
33	convnext_xlarge.fb_in22k_ft_in1k_384	384	97.580	2.420	99.780	0.220	350.20	1.000	bicubic
34	deit3_large_patch16_384.fb_in22k_ft_in1k	384	97.580	2.420	99.710	0.290	304.76	1.000	bicubic
35	maxvit_base_tf_384.in21k_ft_in1k	384	97.570	2.430	99.770	0.230	119.65	1.000	bicubic
36	eva_giant_patch14_224.clip_ft_in1k	224	97.570	2.430	99.710	0.290	1,012.56	0.900	bicubic
37	eva_large_patch14_196.in22k_ft_in1k	196	97.530	2.470	99.790	0.210	304.14	1.000	bicubic
38	beit_large_patch16_224.in22k_ft_in22k_in1k	224	97.500	2.500	99.680	0.320	304.43	0.900	bicubic
39	convnext_xlarge.fb_in22k_ft_in1k	288	97.480	2.520	99.820	0.180	350.20	1.000	bicubic
40	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384	384	97.470	2.530	99.760	0.240	200.13	1.000	bicubic
41	maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k	384	97.470	2.530	99.760	0.240	116.09	1.000	bicubic
42	vit_large_patch14_clip_336.laion2b_ft_in12k_in1k	336	97.460	2.540	99.780	0.220	304.53	1.000	bicubic
43	convformer_b36.sail_in22k_ft_in1k_384	384	97.450	2.550	99.750	0.250	99.88	1.000	bicubic
44	vit_large_patch14_clip_224.openai_ft_in1k	224	97.450	2.550	99.690	0.310	304.20	1.000	bicubic
45	vit_large_patch16_384.augreg_in21k_ft_in1k	384	97.430	2.570	99.780	0.220	304.72	1.000	bicubic
46	regnety_1280.swag_lc_in1k	224	97.420	2.580	99.740	0.260	644.81	0.965	bicubic
47	vit_mediumd_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k	384	97.410	2.590	99.770	0.230	64.27	1.000	bicubic
48	regnety_320.swag_ft_in1k	384	97.400	2.600	99.760	0.240	145.05	1.000	bicubic
49	vit_large_patch14_clip_224.laion2b_ft_in12k_in1k	224	97.390	2.610	99.740	0.260	304.20	1.000	bicubic
50	convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384	384	97.390	2.610	99.730	0.270	200.13	1.000	bicubic
51	caformer_b36.sail_in22k_ft_in1k	224	97.380	2.620	99.830	0.170	98.75	1.000	bicubic
52	convnextv2_base.fcmae_ft_in22k_in1k_384	384	97.370	2.630	99.720	0.280	88.72	1.000	bicubic
53	coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k	384	97.370	2.630	99.700	0.300	73.88	1.000	bicubic
54	caformer_m36.sail_in22k_ft_in1k_384	384	97.360	2.640	99.780	0.220	56.20	1.000	bicubic
55	seresnextaa201d_32x8d.sw_in12k_ft_in1k_384	384	97.360	2.640	99.730	0.270	149.39	1.000	bicubic
56	convformer_m36.sail_in22k_ft_in1k_384	384	97.360	2.640	99.680	0.320	57.05	1.000	bicubic
57	vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k	224	97.350	2.650	99.800	0.200	632.05	1.000	bicubic
58	convnextv2_large.fcmae_ft_in22k_in1k	288	97.340	2.660	99.760	0.240	197.96	1.000	bicubic
59	beit_base_patch16_384.in22k_ft_in22k_in1k	384	97.340	2.660	99.710	0.290	86.74	1.000	bicubic
60	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	288	97.330	2.670	99.760	0.240	93.59	0.950	bicubic
61	convnext_large.fb_in22k_ft_in1k_384	384	97.330	2.670	99.750	0.250	197.77	1.000	bicubic
62	maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k	384	97.320	2.680	99.720	0.280	116.14	1.000	bicubic
63	deit3_large_patch16_224.fb_in22k_ft_in1k	224	97.320	2.680	99.680	0.320	304.37	1.000	bicubic
64	tf_efficientnetv2_l.in21k_ft_in1k	480	97.320	2.680	99.640	0.360	118.52	1.000	bicubic
65	tf_efficientnetv2_xl.in21k_ft_in1k	512	97.320	2.680	99.590	0.410	208.12	1.000	bicubic
66	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	320	97.300	2.700	99.780	0.220	93.59	1.000	bicubic
67	swinv2_large_window12to24_192to384.ms_in22k_ft_in1k	384	97.300	2.700	99.780	0.220	196.74	1.000	bicubic
68	volo_d5_512.sail_in1k	512	97.300	2.700	99.770	0.230	296.09	1.150	bicubic
69	beitv2_large_patch16_224.in1k_ft_in1k	224	97.290	2.710	99.740	0.260	304.43	0.950	bicubic
70	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320	320	97.290	2.710	99.740	0.260	200.13	1.000	bicubic
71	caformer_s36.sail_in22k_ft_in1k_384	384	97.280	2.720	99.720	0.280	39.30	1.000	bicubic
72	convnextv2_large.fcmae_ft_in22k_in1k	224	97.270	2.730	99.720	0.280	197.96	0.875	bicubic
73	convnextv2_huge.fcmae_ft_in1k	288	97.270	2.730	99.710	0.290	660.29	1.000	bicubic
74	swinv2_base_window12to24_192to384.ms_in22k_ft_in1k	384	97.260	2.740	99.800	0.200	87.92	1.000	bicubic
75	convnext_xlarge.fb_in22k_ft_in1k	224	97.260	2.740	99.740	0.260	350.20	0.875	bicubic
76	deit3_huge_patch14_224.fb_in22k_ft_in1k	224	97.250	2.750	99.720	0.280	632.13	1.000	bicubic
77	convnext_base.fb_in22k_ft_in1k	288	97.240	2.760	99.760	0.240	88.59	1.000	bicubic
78	volo_d5_448.sail_in1k	448	97.240	2.760	99.740	0.260	295.91	1.150	bicubic
79	convnext_base.fb_in22k_ft_in1k_384	384	97.240	2.760	99.720	0.280	88.59	1.000	bicubic
80	convnext_large.fb_in22k_ft_in1k	288	97.240	2.760	99.720	0.280	197.77	1.000	bicubic
81	vit_large_patch14_clip_336.laion2b_ft_in1k	336	97.240	2.760	99.720	0.280	304.53	1.000	bicubic
82	deit3_base_patch16_384.fb_in22k_ft_in1k	384	97.240	2.760	99.680	0.320	86.88	1.000	bicubic
83	convformer_b36.sail_in22k_ft_in1k	224	97.230	2.770	99.760	0.240	99.88	1.000	bicubic
84	vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	384	97.230	2.770	99.700	0.300	86.86	1.000	bicubic
85	convnext_large.fb_in22k_ft_in1k	224	97.230	2.770	99.660	0.340	197.77	0.875	bicubic
86	nextvit_base.bd_ssld_6m_in1k_384	384	97.220	2.780	99.720	0.280	44.82	1.000	bicubic
87	swinv2_large_window12to16_192to256.ms_in22k_ft_in1k	256	97.220	2.780	99.710	0.290	196.74	0.900	bicubic
88	convnextv2_base.fcmae_ft_in22k_in1k	288	97.210	2.790	99.760	0.240	88.72	1.000	bicubic
89	hiera_huge_224.mae_in1k_ft_in1k	224	97.210	2.790	99.640	0.360	672.78	0.900	bicubic
90	tf_efficientnet_b7.ns_jft_in1k	600	97.200	2.800	99.700	0.300	66.35	0.949	bicubic
91	maxvit_base_tf_512.in1k	512	97.200	2.800	99.640	0.360	119.88	1.000	bicubic
92	coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k	224	97.190	2.810	99.650	0.350	73.88	0.950	bicubic
93	seresnextaa101d_32x8d.sw_in12k_ft_in1k	288	97.180	2.820	99.760	0.240	93.59	1.000	bicubic
94	nextvit_large.bd_ssld_6m_in1k_384	384	97.180	2.820	99.740	0.260	57.87	1.000	bicubic
95	swin_large_patch4_window12_384.ms_in22k_ft_in1k	384	97.180	2.820	99.690	0.310	196.74	1.000	bicubic
96	maxvit_small_tf_512.in1k	512	97.180	2.820	99.620	0.380	69.13	1.000	bicubic
97	regnety_160.swag_ft_in1k	384	97.170	2.830	99.780	0.220	83.59	1.000	bicubic
98	convnextv2_base.fcmae_ft_in22k_in1k	224	97.160	2.840	99.660	0.340	88.72	0.875	bicubic
99	caformer_b36.sail_in1k_384	384	97.160	2.840	99.610	0.390	98.75	1.000	bicubic
100	convnext_small.fb_in22k_ft_in1k_384	384	97.140	2.860	99.640	0.360	50.22	1.000	bicubic
101	maxvit_base_tf_384.in1k	384	97.140	2.860	99.580	0.420	119.65	1.000	bicubic
102	convnext_large_mlp.clip_laion2b_augreg_ft_in1k	256	97.130	2.870	99.720	0.280	200.13	1.000	bicubic
103	vit_betwixt_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k	384	97.130	2.870	99.720	0.280	60.60	1.000	bicubic
104	vit_mediumd_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k	256	97.130	2.870	99.680	0.320	64.11	0.950	bicubic
105	vit_base_patch16_clip_384.openai_ft_in12k_in1k	384	97.130	2.870	99.650	0.350	86.86	0.950	bicubic
106	vit_huge_patch14_clip_224.laion2b_ft_in1k	224	97.110	2.890	99.700	0.300	632.05	1.000	bicubic
107	hgnetv2_b6.ssld_stage2_ft_in1k	288	97.100	2.900	99.740	0.260	75.26	1.000	bicubic
108	maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k	224	97.090	2.910	99.610	0.390	116.14	0.950	bicubic
109	vit_base_patch8_224.augreg_in21k_ft_in1k	224	97.090	2.910	99.610	0.390	86.58	0.900	bicubic
110	hgnetv2_b6.ssld_stage1_in22k_in1k	288	97.080	2.920	99.710	0.290	75.26	1.000	bicubic
111	maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k	224	97.080	2.920	99.680	0.320	116.09	0.950	bicubic
112	swin_base_patch4_window12_384.ms_in22k_ft_in1k	384	97.070	2.930	99.770	0.230	87.90	1.000	bicubic
113	volo_d4_448.sail_in1k	448	97.070	2.930	99.760	0.240	193.41	1.150	bicubic
114	nextvit_small.bd_ssld_6m_in1k_384	384	97.070	2.930	99.710	0.290	31.76	1.000	bicubic
115	convformer_m36.sail_in22k_ft_in1k	224	97.070	2.930	99.630	0.370	57.05	1.000	bicubic
116	convformer_s36.sail_in22k_ft_in1k_384	384	97.060	2.940	99.700	0.300	40.01	1.000	bicubic
117	tf_efficientnet_b6.ns_jft_in1k	528	97.060	2.940	99.700	0.300	43.04	0.942	bicubic
118	convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384	384	97.060	2.940	99.690	0.310	88.59	1.000	bicubic
119	swinv2_base_window12to16_192to256.ms_in22k_ft_in1k	256	97.060	2.940	99.670	0.330	87.92	0.900	bicubic
120	maxvit_large_tf_512.in1k	512	97.060	2.940	99.590	0.410	212.33	1.000	bicubic
121	rdnet_large.nv_in1k_ft_in1k_384	384	97.040	2.960	99.680	0.320	186.27	1.000	bicubic
122	volo_d3_448.sail_in1k	448	97.040	2.960	99.680	0.320	86.63	1.000	bicubic
123	caformer_m36.sail_in22k_ft_in1k	224	97.030	2.970	99.730	0.270	56.20	1.000	bicubic
124	vit_large_patch14_clip_224.laion2b_ft_in1k	224	97.030	2.970	99.670	0.330	304.20	1.000	bicubic
125	hgnetv2_b6.ssld_stage1_in22k_in1k	224	97.030	2.970	99.610	0.390	75.26	0.965	bicubic
126	caformer_m36.sail_in1k_384	384	97.020	2.980	99.710	0.290	56.20	1.000	bicubic
127	vit_base_patch16_384.augreg_in21k_ft_in1k	384	97.020	2.980	99.700	0.300	86.86	1.000	bicubic
128	tf_efficientnetv2_m.in21k_ft_in1k	480	97.020	2.980	99.620	0.380	54.14	1.000	bicubic
129	dm_nfnet_f5.dm_in1k	544	97.010	2.990	99.670	0.330	377.21	0.954	bicubic
130	coatnet_2_rw_224.sw_in12k_ft_in1k	224	97.000	3.000	99.640	0.360	73.87	0.950	bicubic
131	convnext_small.in12k_ft_in1k_384	384	96.990	3.010	99.660	0.340	50.22	1.000	bicubic
132	dm_nfnet_f6.dm_in1k	576	96.980	3.020	99.760	0.240	438.36	0.956	bicubic
133	maxvit_tiny_tf_512.in1k	512	96.970	3.030	99.670	0.330	31.05	1.000	bicubic
134	swin_large_patch4_window7_224.ms_in22k_ft_in1k	224	96.970	3.030	99.660	0.340	196.53	0.900	bicubic
135	beitv2_base_patch16_224.in1k_ft_in22k_in1k	224	96.960	3.040	99.720	0.280	86.53	0.900	bicubic
136	vit_large_r50_s32_384.augreg_in21k_ft_in1k	384	96.960	3.040	99.720	0.280	329.09	1.000	bicubic
137	seresnextaa101d_32x8d.sw_in12k_ft_in1k	224	96.960	3.040	99.640	0.360	93.59	0.875	bicubic
138	maxvit_large_tf_384.in1k	384	96.960	3.040	99.560	0.440	212.03	1.000	bicubic
139	dm_nfnet_f4.dm_in1k	512	96.950	3.050	99.630	0.370	316.07	0.951	bicubic
140	tiny_vit_21m_384.dist_in22k_ft_in1k	384	96.950	3.050	99.620	0.380	21.23	1.000	bicubic
141	vit_base_patch8_224.augreg2_in21k_ft_in1k	224	96.940	3.060	99.650	0.350	86.58	0.900	bicubic
142	convnextv2_huge.fcmae_ft_in1k	224	96.940	3.060	99.640	0.360	660.29	0.875	bicubic
143	dm_nfnet_f6.dm_in1k	448	96.930	3.070	99.720	0.280	438.36	0.956	bicubic
144	xcit_large_24_p16_384.fb_dist_in1k	384	96.930	3.070	99.510	0.490	189.10	1.000	bicubic
145	vit_base_patch16_clip_384.laion2b_ft_in1k	384	96.920	3.080	99.670	0.330	86.86	1.000	bicubic
146	volo_d5_224.sail_in1k	224	96.910	3.090	99.660	0.340	295.46	0.960	bicubic
147	nextvit_large.bd_ssld_6m_in1k	224	96.910	3.090	99.640	0.360	57.87	0.950	bicubic
148	tf_efficientnet_b5.ns_jft_in1k	456	96.900	3.100	99.640	0.360	30.39	0.934	bicubic
149	tf_efficientnetv2_xl.in21k_ft_in1k	384	96.900	3.100	99.460	0.540	208.12	1.000	bicubic
150	tiny_vit_21m_512.dist_in22k_ft_in1k	512	96.890	3.110	99.710	0.290	21.27	1.000	bicubic
151	cait_m48_448.fb_dist_in1k	448	96.890	3.110	99.620	0.380	356.46	1.000	bicubic
152	deit3_base_patch16_224.fb_in22k_ft_in1k	224	96.890	3.110	99.620	0.380	86.59	1.000	bicubic
153	nextvit_base.bd_ssld_6m_in1k	224	96.880	3.120	99.680	0.320	44.82	0.950	bicubic
154	caformer_s36.sail_in1k_384	384	96.880	3.120	99.660	0.340	39.30	1.000	bicubic
155	convformer_b36.sail_in1k_384	384	96.870	3.130	99.650	0.350	99.88	1.000	bicubic
156	hgnetv2_b6.ssld_stage2_ft_in1k	224	96.870	3.130	99.650	0.350	75.26	0.965	bicubic
157	deit3_large_patch16_384.fb_in1k	384	96.870	3.130	99.620	0.380	304.76	1.000	bicubic
158	tf_efficientnetv2_l.in21k_ft_in1k	384	96.870	3.130	99.590	0.410	118.52	1.000	bicubic
159	convnext_small.fb_in22k_ft_in1k	288	96.870	3.130	99.510	0.490	50.22	1.000	bicubic
160	regnety_320.swag_lc_in1k	224	96.860	3.140	99.720	0.280	145.05	0.965	bicubic
161	convnext_base.clip_laiona_augreg_ft_in1k_384	384	96.860	3.140	99.690	0.310	88.59	1.000	bicubic
162	resnetv2_152x4_bit.goog_in21k_ft_in1k	480	96.860	3.140	99.670	0.330	936.53	1.000	bilinear
163	convnext_base.fb_in22k_ft_in1k	224	96.860	3.140	99.660	0.340	88.59	0.875	bicubic
164	convnextv2_large.fcmae_ft_in1k	288	96.850	3.150	99.770	0.230	197.96	1.000	bicubic
165	convnextv2_large.fcmae_ft_in1k	224	96.850	3.150	99.680	0.320	197.96	0.875	bicubic
166	caformer_s36.sail_in22k_ft_in1k	224	96.830	3.170	99.620	0.380	39.30	1.000	bicubic
167	regnety_160.sw_in12k_ft_in1k	288	96.820	3.180	99.700	0.300	83.59	1.000	bicubic
168	cait_m36_384.fb_dist_in1k	384	96.820	3.180	99.660	0.340	271.22	1.000	bicubic
169	vit_base_patch16_clip_384.openai_ft_in1k	384	96.820	3.180	99.660	0.340	86.86	1.000	bicubic
170	xcit_small_24_p8_384.fb_dist_in1k	384	96.820	3.180	99.630	0.370	47.63	1.000	bicubic
171	efficientnet_b5.sw_in12k_ft_in1k	448	96.820	3.180	99.590	0.410	30.39	1.000	bicubic
172	dm_nfnet_f5.dm_in1k	416	96.810	3.190	99.600	0.400	377.21	0.954	bicubic
173	regnety_160.lion_in12k_ft_in1k	288	96.800	3.200	99.710	0.290	83.59	1.000	bicubic
174	hgnet_base.ssld_in1k	288	96.800	3.200	99.680	0.320	71.58	1.000	bicubic
175	convnext_base.clip_laion2b_augreg_ft_in12k_in1k	256	96.800	3.200	99.670	0.330	88.59	1.000	bicubic
176	vit_mediumd_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	96.800	3.200	99.640	0.360	64.11	0.950	bicubic
177	flexivit_large.1200ep_in1k	240	96.800	3.200	99.610	0.390	304.36	0.950	bicubic
178	convformer_s18.sail_in22k_ft_in1k_384	384	96.790	3.210	99.710	0.290	26.77	1.000	bicubic
179	xcit_large_24_p8_384.fb_dist_in1k	384	96.790	3.210	99.550	0.450	188.93	1.000	bicubic
180	resnext101_32x32d.fb_wsl_ig1b_ft_in1k	224	96.790	3.210	99.530	0.470	468.53	0.875	bilinear
181	volo_d4_224.sail_in1k	224	96.780	3.220	99.670	0.330	192.96	0.960	bicubic
182	xcit_medium_24_p8_384.fb_dist_in1k	384	96.780	3.220	99.620	0.380	84.32	1.000	bicubic
183	convformer_m36.sail_in1k_384	384	96.770	3.230	99.610	0.390	57.05	1.000	bicubic
184	beitv2_base_patch16_224.in1k_ft_in1k	224	96.770	3.230	99.550	0.450	86.53	0.900	bicubic
185	hiera_large_224.mae_in1k_ft_in1k	224	96.750	3.250	99.590	0.410	213.74	0.900	bicubic
186	flexivit_large.600ep_in1k	240	96.750	3.250	99.550	0.450	304.36	0.950	bicubic
187	efficientvit_l3.r320_in1k	320	96.750	3.250	99.410	0.590	246.04	1.000	bicubic
188	hgnetv2_b5.ssld_stage2_ft_in1k	288	96.740	3.260	99.710	0.290	39.57	1.000	bicubic
189	dm_nfnet_f4.dm_in1k	384	96.740	3.260	99.620	0.380	316.07	0.951	bicubic
190	volo_d2_384.sail_in1k	384	96.740	3.260	99.600	0.400	58.87	1.000	bicubic
191	maxvit_small_tf_384.in1k	384	96.740	3.260	99.580	0.420	69.02	1.000	bicubic
192	efficientvit_l3.r384_in1k	384	96.740	3.260	99.450	0.550	246.04	1.000	bicubic
193	inception_next_base.sail_in1k_384	384	96.730	3.270	99.620	0.380	86.67	1.000	bicubic
194	tf_efficientnetv2_l.in1k	480	96.730	3.270	99.550	0.450	118.52	1.000	bicubic
195	vit_large_patch16_224.augreg_in21k_ft_in1k	224	96.720	3.280	99.640	0.360	304.33	0.900	bicubic
196	tf_efficientnet_b4.ns_jft_in1k	380	96.710	3.290	99.640	0.360	19.34	0.922	bicubic
197	convformer_s36.sail_in1k_384	384	96.700	3.300	99.580	0.420	40.01	1.000	bicubic
198	tf_efficientnet_b8.ra_in1k	672	96.700	3.300	99.550	0.450	87.41	0.954	bicubic
199	eva02_small_patch14_336.mim_in22k_ft_in1k	336	96.690	3.310	99.610	0.390	22.13	1.000	bicubic
200	xcit_medium_24_p16_384.fb_dist_in1k	384	96.690	3.310	99.600	0.400	84.40	1.000	bicubic
201	flexivit_large.300ep_in1k	240	96.690	3.310	99.580	0.420	304.36	0.950	bicubic
202	efficientvit_l2.r384_in1k	384	96.690	3.310	99.470	0.530	63.71	1.000	bicubic
203	deit3_small_patch16_384.fb_in22k_ft_in1k	384	96.680	3.320	99.640	0.360	22.21	1.000	bicubic
204	mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	544	96.680	3.320	99.580	0.420	32.59	1.000	bicubic
205	efficientvit_l2.r288_in1k	288	96.680	3.320	99.530	0.470	63.71	1.000	bicubic
206	swin_base_patch4_window7_224.ms_in22k_ft_in1k	224	96.670	3.330	99.660	0.340	87.77	0.900	bicubic
207	beit_base_patch16_224.in22k_ft_in22k_in1k	224	96.660	3.340	99.660	0.340	86.53	0.900	bicubic
208	hgnet_base.ssld_in1k	224	96.650	3.350	99.560	0.440	71.58	0.965	bicubic
209	cait_s36_384.fb_dist_in1k	384	96.640	3.360	99.600	0.400	68.37	1.000	bicubic
210	efficientvit_l3.r256_in1k	256	96.640	3.360	99.290	0.710	246.04	1.000	bicubic
211	convnextv2_tiny.fcmae_ft_in22k_in1k_384	384	96.630	3.370	99.590	0.410	28.64	1.000	bicubic
212	vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	224	96.630	3.370	99.560	0.440	86.57	0.950	bicubic
213	xcit_large_24_p8_224.fb_dist_in1k	224	96.630	3.370	99.480	0.520	188.93	1.000	bicubic
214	regnetz_e8.ra3_in1k	320	96.620	3.380	99.610	0.390	57.70	1.000	bicubic
215	coat_lite_medium_384.in1k	384	96.620	3.380	99.450	0.550	44.57	1.000	bicubic
216	hgnetv2_b5.ssld_stage1_in22k_in1k	288	96.610	3.390	99.700	0.300	39.57	1.000	bicubic
217	dm_nfnet_f3.dm_in1k	416	96.610	3.390	99.630	0.370	254.92	0.940	bicubic
218	vit_betwixt_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k	256	96.610	3.390	99.590	0.410	60.40	0.950	bicubic
219	nextvit_small.bd_ssld_6m_in1k	224	96.610	3.390	99.580	0.420	31.76	0.950	bicubic
220	tf_efficientnet_b7.ra_in1k	600	96.610	3.390	99.510	0.490	66.35	0.949	bicubic
221	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	384	96.610	3.390	99.470	0.530	88.30	1.000	bicubic
222	regnety_160.sw_in12k_ft_in1k	224	96.590	3.410	99.690	0.310	83.59	0.950	bicubic
223	convnext_small.in12k_ft_in1k	288	96.590	3.410	99.580	0.420	50.22	1.000	bicubic
224	maxvit_tiny_tf_384.in1k	384	96.590	3.410	99.570	0.430	30.98	1.000	bicubic
225	deit3_huge_patch14_224.fb_in1k	224	96.590	3.410	99.520	0.480	632.13	0.900	bicubic
226	convnext_tiny.in12k_ft_in1k_384	384	96.580	3.420	99.660	0.340	28.59	1.000	bicubic
227	convnext_base.clip_laion2b_augreg_ft_in1k	256	96.580	3.420	99.640	0.360	88.59	1.000	bicubic
228	cait_s24_384.fb_dist_in1k	384	96.580	3.420	99.550	0.450	47.06	1.000	bicubic
229	convnext_small.in12k_ft_in1k	224	96.570	3.430	99.580	0.420	50.22	0.950	bicubic
230	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	448	96.570	3.430	99.530	0.470	88.34	1.000	bicubic
231	regnety_120.sw_in12k_ft_in1k	288	96.560	3.440	99.680	0.320	51.82	1.000	bicubic
232	tf_efficientnet_b8.ap_in1k	672	96.560	3.440	99.550	0.450	87.41	0.954	bicubic
233	tf_efficientnetv2_l.in1k	384	96.560	3.440	99.480	0.520	118.52	1.000	bicubic
234	hrnet_w48_ssld.paddle_in1k	288	96.550	3.450	99.640	0.360	77.47	1.000	bilinear
235	convformer_s36.sail_in22k_ft_in1k	224	96.550	3.450	99.600	0.400	40.01	1.000	bicubic
236	xcit_small_24_p8_224.fb_dist_in1k	224	96.550	3.450	99.560	0.440	47.63	1.000	bicubic
237	regnety_2560.seer_ft_in1k	384	96.550	3.450	99.510	0.490	1,282.60	1.000	bicubic
238	vit_betwixt_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	96.550	3.450	99.470	0.530	60.40	0.950	bicubic
239	hgnetv2_b5.ssld_stage2_ft_in1k	224	96.540	3.460	99.660	0.340	39.57	0.965	bicubic
240	xcit_medium_24_p8_224.fb_dist_in1k	224	96.540	3.460	99.470	0.530	84.32	1.000	bicubic
241	caformer_b36.sail_in1k	224	96.540	3.460	99.460	0.540	98.75	1.000	bicubic
242	hgnetv2_b5.ssld_stage1_in22k_in1k	224	96.530	3.470	99.620	0.380	39.57	0.965	bicubic
243	resnetv2_152x2_bit.goog_in21k_ft_in1k	448	96.530	3.470	99.590	0.410	236.34	1.000	bilinear
244	dm_nfnet_f2.dm_in1k	352	96.530	3.470	99.570	0.430	193.78	0.920	bicubic
245	vit_base_patch16_clip_224.openai_ft_in12k_in1k	224	96.530	3.470	99.550	0.450	86.57	0.950	bicubic
246	mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	480	96.530	3.470	99.540	0.460	32.59	1.000	bicubic
247	caformer_s18.sail_in22k_ft_in1k_384	384	96.520	3.480	99.590	0.410	26.34	1.000	bicubic
248	regnety_160.lion_in12k_ft_in1k	224	96.510	3.490	99.690	0.310	83.59	0.950	bicubic
249	tf_efficientnetv2_m.in21k_ft_in1k	384	96.510	3.490	99.520	0.480	54.14	1.000	bicubic
250	convnext_small.fb_in22k_ft_in1k	224	96.510	3.490	99.490	0.510	50.22	0.875	bicubic
251	vit_medium_patch16_gap_384.sw_in12k_ft_in1k	384	96.500	3.500	99.630	0.370	39.03	0.950	bicubic
252	deit_base_distilled_patch16_384.fb_in1k	384	96.500	3.500	99.590	0.410	87.63	1.000	bicubic
253	vit_base_patch16_224.augreg2_in21k_ft_in1k	224	96.500	3.500	99.590	0.410	86.57	0.900	bicubic
254	convnextv2_base.fcmae_ft_in1k	288	96.500	3.500	99.520	0.480	88.72	1.000	bicubic
255	efficientvit_l3.r224_in1k	224	96.500	3.500	99.340	0.660	246.04	1.000	bicubic
256	volo_d1_384.sail_in1k	384	96.490	3.510	99.550	0.450	26.78	1.000	bicubic
257	vit_medium_patch16_reg4_gap_256.sbb_in12k_ft_in1k	256	96.490	3.510	99.540	0.460	38.88	0.950	bicubic
258	vit_base_r50_s16_384.orig_in21k_ft_in1k	384	96.480	3.520	99.660	0.340	98.95	1.000	bicubic
259	tf_efficientnetv2_m.in1k	480	96.480	3.520	99.610	0.390	54.14	1.000	bicubic
260	resnext101_32x16d.fb_wsl_ig1b_ft_in1k	224	96.480	3.520	99.540	0.460	194.03	0.875	bilinear
261	xcit_small_12_p8_384.fb_dist_in1k	384	96.480	3.520	99.480	0.520	26.21	1.000	bicubic
262	efficientvit_l2.r256_in1k	256	96.480	3.520	99.390	0.610	63.71	1.000	bicubic
263	nextvit_large.bd_in1k_384	384	96.470	3.530	99.550	0.450	57.87	1.000	bicubic
264	convnextv2_base.fcmae_ft_in1k	224	96.470	3.530	99.430	0.570	88.72	0.875	bicubic
265	eca_nfnet_l2.ra3_in1k	384	96.460	3.540	99.610	0.390	56.72	1.000	bicubic
266	volo_d3_224.sail_in1k	224	96.460	3.540	99.610	0.390	86.33	0.960	bicubic
267	hiera_small_abswin_256.sbb2_e200_in12k_ft_in1k	256	96.460	3.540	99.570	0.430	34.36	0.950	bicubic
268	tf_efficientnetv2_s.in21k_ft_in1k	384	96.460	3.540	99.570	0.430	21.46	1.000	bicubic
269	ecaresnet269d.ra2_in1k	352	96.450	3.550	99.610	0.390	102.09	1.000	bicubic
270	caformer_s18.sail_in1k_384	384	96.450	3.550	99.560	0.440	26.34	1.000	bicubic
271	resnetrs420.tf_in1k	416	96.450	3.550	99.540	0.460	191.89	1.000	bicubic
272	regnety_160.swag_lc_in1k	224	96.430	3.570	99.760	0.240	83.59	0.965	bicubic
273	regnetz_e8.ra3_in1k	256	96.430	3.570	99.470	0.530	57.70	0.940	bicubic
274	mvitv2_large.fb_in1k	224	96.430	3.570	99.440	0.560	217.99	0.900	bicubic
275	ecaresnet269d.ra2_in1k	320	96.420	3.580	99.520	0.480	102.09	0.950	bicubic
276	seresnextaa101d_32x8d.ah_in1k	288	96.420	3.580	99.520	0.480	93.59	1.000	bicubic
277	volo_d2_224.sail_in1k	224	96.420	3.580	99.510	0.490	58.68	0.960	bicubic
278	hgnet_small.ssld_in1k	288	96.400	3.600	99.620	0.380	24.36	1.000	bicubic
279	caformer_m36.sail_in1k	224	96.400	3.600	99.530	0.470	56.20	1.000	bicubic
280	tiny_vit_21m_224.dist_in22k_ft_in1k	224	96.400	3.600	99.500	0.500	21.20	0.950	bicubic
281	vit_base_patch32_clip_384.openai_ft_in12k_in1k	384	96.400	3.600	99.460	0.540	88.30	0.950	bicubic
282	convnext_large.fb_in1k	288	96.390	3.610	99.530	0.470	197.77	1.000	bicubic
283	swin_base_patch4_window12_384.ms_in1k	384	96.390	3.610	99.420	0.580	87.90	1.000	bicubic
284	xcit_small_24_p16_384.fb_dist_in1k	384	96.380	3.620	99.580	0.420	47.67	1.000	bicubic
285	rdnet_large.nv_in1k	224	96.380	3.620	99.520	0.480	186.27	0.900	bicubic
286	xcit_small_12_p16_384.fb_dist_in1k	384	96.380	3.620	99.470	0.530	26.25	1.000	bicubic
287	hiera_base_plus_224.mae_in1k_ft_in1k	224	96.380	3.620	99.420	0.580	69.90	0.900	bicubic
288	dm_nfnet_f3.dm_in1k	320	96.370	3.630	99.590	0.410	254.92	0.940	bicubic
289	resnetaa101d.sw_in12k_ft_in1k	288	96.370	3.630	99.470	0.530	44.57	1.000	bicubic
290	seresnext101d_32x8d.ah_in1k	288	96.370	3.630	99.470	0.530	93.59	1.000	bicubic
291	vit_base_patch16_clip_224.openai_ft_in1k	224	96.360	3.640	99.570	0.430	86.57	0.900	bicubic
292	tf_efficientnet_b6.ap_in1k	528	96.360	3.640	99.550	0.450	43.04	0.942	bicubic
293	resmlp_big_24_224.fb_in22k_ft_in1k	224	96.360	3.640	99.510	0.490	129.14	0.875	bicubic
294	maxvit_large_tf_224.in1k	224	96.350	3.650	99.400	0.600	211.79	0.950	bicubic
295	maxvit_base_tf_224.in1k	224	96.350	3.650	99.380	0.620	119.47	0.950	bicubic
296	hiera_base_224.mae_in1k_ft_in1k	224	96.350	3.650	99.360	0.640	51.52	0.900	bicubic
297	tf_efficientnet_b7.ap_in1k	600	96.340	3.660	99.600	0.400	66.35	0.949	bicubic
298	nextvit_base.bd_in1k_384	384	96.340	3.660	99.580	0.420	44.82	1.000	bicubic
299	convnextv2_tiny.fcmae_ft_in22k_in1k	288	96.340	3.660	99.550	0.450	28.64	1.000	bicubic
300	regnetz_040_h.ra3_in1k	320	96.340	3.660	99.510	0.490	28.94	1.000	bicubic
301	vit_base_patch16_clip_224.laion2b_ft_in1k	224	96.330	3.670	99.550	0.450	86.57	1.000	bicubic
302	dm_nfnet_f1.dm_in1k	320	96.330	3.670	99.530	0.470	132.63	0.910	bicubic
303	convnext_base.fb_in1k	288	96.330	3.670	99.480	0.520	88.59	1.000	bicubic
304	regnety_1280.seer_ft_in1k	384	96.330	3.670	99.410	0.590	644.81	1.000	bicubic
305	resnetrs200.tf_in1k	320	96.320	3.680	99.540	0.460	93.21	1.000	bicubic
306	seresnet152d.ra2_in1k	320	96.320	3.680	99.510	0.490	66.84	1.000	bicubic
307	xcit_large_24_p16_224.fb_dist_in1k	224	96.310	3.690	99.480	0.520	189.10	1.000	bicubic
308	mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	384	96.310	3.690	99.410	0.590	32.59	0.950	bicubic
309	mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	448	96.310	3.690	99.380	0.620	32.59	0.950	bicubic
310	hgnetv2_b4.ssld_stage2_ft_in1k	288	96.300	3.700	99.620	0.380	19.80	1.000	bicubic
311	resnetv2_101x3_bit.goog_in21k_ft_in1k	448	96.300	3.700	99.590	0.410	387.93	1.000	bilinear
312	vit_base_patch16_224.augreg_in21k_ft_in1k	224	96.300	3.700	99.570	0.430	86.57	0.900	bicubic
313	fastvit_ma36.apple_dist_in1k	256	96.300	3.700	99.490	0.510	44.07	0.950	bicubic
314	resnetv2_50x3_bit.goog_in21k_ft_in1k	448	96.290	3.710	99.630	0.370	217.32	1.000	bilinear
315	tf_efficientnet_b6.aa_in1k	528	96.290	3.710	99.530	0.470	43.04	0.942	bicubic
316	efficientnetv2_rw_m.agc_in1k	416	96.280	3.720	99.560	0.440	53.24	1.000	bicubic
317	resnext101_32x8d.fb_swsl_ig1b_ft_in1k	224	96.270	3.730	99.590	0.410	88.79	0.875	bilinear
318	resnext101_32x16d.fb_swsl_ig1b_ft_in1k	224	96.270	3.730	99.500	0.500	194.03	0.875	bilinear
319	maxvit_small_tf_224.in1k	224	96.270	3.730	99.490	0.510	68.93	0.950	bicubic
320	hgnetv2_b4.ssld_stage1_in22k_in1k	288	96.260	3.740	99.610	0.390	19.80	1.000	bicubic
321	resnetrs350.tf_in1k	384	96.260	3.740	99.480	0.520	163.96	1.000	bicubic
322	xcit_medium_24_p16_224.fb_dist_in1k	224	96.260	3.740	99.400	0.600	84.40	1.000	bicubic
323	efficientvit_l2.r224_in1k	224	96.260	3.740	99.330	0.670	63.71	1.000	bicubic
324	convformer_s18.sail_in1k_384	384	96.250	3.750	99.540	0.460	26.77	1.000	bicubic
325	xcit_tiny_24_p8_384.fb_dist_in1k	384	96.250	3.750	99.440	0.560	12.11	1.000	bicubic
326	convformer_b36.sail_in1k	224	96.250	3.750	99.310	0.690	99.88	1.000	bicubic
327	convnext_tiny.in12k_ft_in1k	288	96.240	3.760	99.650	0.350	28.59	1.000	bicubic
328	davit_base.msft_in1k	224	96.240	3.760	99.390	0.610	87.95	0.950	bicubic
329	coatnet_rmlp_2_rw_224.sw_in1k	224	96.240	3.760	99.280	0.720	73.88	0.950	bicubic
330	maxxvit_rmlp_small_rw_256.sw_in1k	256	96.230	3.770	99.490	0.510	66.01	0.950	bicubic
331	deit3_base_patch16_384.fb_in1k	384	96.230	3.770	99.410	0.590	86.88	1.000	bicubic
332	vit_large_r50_s32_224.augreg_in21k_ft_in1k	224	96.220	3.780	99.530	0.470	328.99	0.900	bicubic
333	hrnet_w48_ssld.paddle_in1k	224	96.220	3.780	99.510	0.490	77.47	0.950	bilinear
334	resnetrs350.tf_in1k	288	96.220	3.780	99.400	0.600	163.96	1.000	bicubic
335	deit3_large_patch16_224.fb_in1k	224	96.220	3.780	99.300	0.700	304.37	0.900	bicubic
336	regnety_120.sw_in12k_ft_in1k	224	96.200	3.800	99.530	0.470	51.82	0.950	bicubic
337	regnetz_040.ra3_in1k	320	96.200	3.800	99.510	0.490	27.12	1.000	bicubic
338	regnetz_d8_evos.ch_in1k	320	96.200	3.800	99.490	0.510	23.46	1.000	bicubic
339	convnext_tiny.in12k_ft_in1k	224	96.190	3.810	99.580	0.420	28.59	0.950	bicubic
340	edgenext_base.in21k_ft_in1k	320	96.190	3.810	99.470	0.530	18.51	1.000	bicubic
341	efficientnetv2_rw_m.agc_in1k	320	96.190	3.810	99.460	0.540	53.24	1.000	bicubic
342	vit_base_patch16_384.orig_in21k_ft_in1k	384	96.180	3.820	99.520	0.480	86.86	1.000	bicubic
343	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	384	96.170	3.830	99.500	0.500	236.34	1.000	bicubic
344	swinv2_base_window16_256.ms_in1k	256	96.170	3.830	99.400	0.600	87.92	0.900	bicubic
345	hgnet_small.ssld_in1k	224	96.160	3.840	99.550	0.450	24.36	0.965	bicubic
346	deit3_medium_patch16_224.fb_in22k_ft_in1k	224	96.160	3.840	99.490	0.510	38.85	1.000	bicubic
347	convnext_tiny.fb_in22k_ft_in1k_384	384	96.160	3.840	99.480	0.520	28.59	1.000	bicubic
348	coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k	224	96.160	3.840	99.340	0.660	41.72	0.950	bicubic
349	crossvit_18_dagger_408.in1k	408	96.130	3.870	99.460	0.540	44.61	1.000	bicubic
350	flexivit_base.1200ep_in1k	240	96.130	3.870	99.400	0.600	86.59	0.950	bicubic
351	nextvit_small.bd_in1k_384	384	96.130	3.870	99.380	0.620	31.76	1.000	bicubic
352	vit_mediumd_patch16_rope_reg1_gap_256.sbb_in1k	256	96.130	3.870	99.380	0.620	63.95	0.950	bicubic
353	seresnext101_32x8d.ah_in1k	288	96.130	3.870	99.360	0.640	93.57	1.000	bicubic
354	rexnetr_300.sw_in12k_ft_in1k	288	96.120	3.880	99.530	0.470	34.81	1.000	bicubic
355	resnest269e.in1k	416	96.120	3.880	99.520	0.480	110.93	0.928	bicubic
356	resnet200d.ra2_in1k	320	96.120	3.880	99.460	0.540	64.69	1.000	bicubic
357	efficientvit_b3.r288_in1k	288	96.120	3.880	99.310	0.690	48.65	1.000	bicubic
358	hiera_small_abswin_256.sbb2_pd_e200_in12k_ft_in1k	256	96.120	3.880	99.310	0.690	34.36	0.950	bicubic
359	convformer_s36.sail_in1k	224	96.120	3.880	99.300	0.700	40.01	1.000	bicubic
360	resnest200e.in1k	320	96.110	3.890	99.480	0.520	70.20	0.909	bicubic
361	tf_efficientnet_b3.ns_jft_in1k	300	96.110	3.890	99.470	0.530	12.23	0.904	bicubic
362	hgnetv2_b4.ssld_stage2_ft_in1k	224	96.100	3.900	99.520	0.480	19.80	0.965	bicubic
363	convformer_s18.sail_in22k_ft_in1k	224	96.100	3.900	99.500	0.500	26.77	1.000	bicubic
364	resnetrs420.tf_in1k	320	96.100	3.900	99.470	0.530	191.89	1.000	bicubic
365	mobilenetv4_hybrid_large.ix_e600_r384_in1k	448	96.100	3.900	99.410	0.590	37.76	1.000	bicubic
366	seresnext101d_32x8d.ah_in1k	224	96.100	3.900	99.300	0.700	93.59	0.950	bicubic
367	tf_efficientnet_b5.ap_in1k	456	96.090	3.910	99.540	0.460	30.39	0.934	bicubic
368	caformer_s36.sail_in1k	224	96.090	3.910	99.510	0.490	39.30	1.000	bicubic
369	rdnet_base.nv_in1k	224	96.090	3.910	99.320	0.680	87.45	0.900	bicubic
370	xcit_large_24_p8_224.fb_in1k	224	96.090	3.910	99.150	0.850	188.93	1.000	bicubic
371	vit_small_r26_s32_384.augreg_in21k_ft_in1k	384	96.080	3.920	99.550	0.450	36.47	1.000	bicubic
372	resnext101_32x4d.fb_swsl_ig1b_ft_in1k	224	96.080	3.920	99.520	0.480	44.18	0.875	bilinear
373	tf_efficientnet_b7.aa_in1k	600	96.080	3.920	99.450	0.550	66.35	0.949	bicubic
374	convformer_m36.sail_in1k	224	96.080	3.920	99.240	0.760	57.05	1.000	bicubic
375	seresnet152d.ra2_in1k	256	96.070	3.930	99.410	0.590	66.84	0.950	bicubic
376	swin_s3_base_224.ms_in1k	224	96.070	3.930	99.350	0.650	71.13	0.900	bicubic
377	resnetrs270.tf_in1k	352	96.060	3.940	99.480	0.520	129.86	1.000	bicubic
378	gcvit_base.in1k	224	96.060	3.940	99.390	0.610	90.32	0.875	bicubic
379	convnextv2_tiny.fcmae_ft_in22k_in1k	224	96.060	3.940	99.380	0.620	28.64	0.875	bicubic
380	swinv2_small_window16_256.ms_in1k	256	96.060	3.940	99.340	0.660	49.73	0.900	bicubic
381	cs3se_edgenet_x.c2ns_in1k	320	96.050	3.950	99.450	0.550	50.72	1.000	bicubic
382	maxvit_rmlp_tiny_rw_256.sw_in1k	256	96.050	3.950	99.400	0.600	29.15	0.950	bicubic
383	swinv2_base_window8_256.ms_in1k	256	96.050	3.950	99.400	0.600	87.92	0.900	bicubic
384	davit_small.msft_in1k	224	96.050	3.950	99.390	0.610	49.75	0.950	bicubic
385	vit_base_patch16_224_miil.in21k_ft_in1k	224	96.050	3.950	99.350	0.650	86.54	0.875	bilinear
386	vit_base_patch16_rope_reg1_gap_256.sbb_in1k	256	96.050	3.950	99.260	0.740	86.43	0.950	bicubic
387	hgnetv2_b3.ssld_stage2_ft_in1k	288	96.040	3.960	99.590	0.410	16.29	1.000	bicubic
388	convnext_large.fb_in1k	224	96.040	3.960	99.470	0.530	197.77	0.875	bicubic
389	eca_nfnet_l2.ra3_in1k	320	96.030	3.970	99.560	0.440	56.72	0.900	bicubic
390	caformer_s18.sail_in22k_ft_in1k	224	96.030	3.970	99.550	0.450	26.34	1.000	bicubic
391	mobilenetv4_conv_aa_large.e600_r384_in1k	480	96.030	3.970	99.530	0.470	32.59	1.000	bicubic
392	swin_small_patch4_window7_224.ms_in22k_ft_in1k	224	96.030	3.970	99.510	0.490	49.61	0.900	bicubic
393	regnety_640.seer_ft_in1k	384	96.030	3.970	99.490	0.510	281.38	1.000	bicubic
394	volo_d1_224.sail_in1k	224	96.030	3.970	99.400	0.600	26.63	0.960	bicubic
395	dm_nfnet_f2.dm_in1k	256	96.030	3.970	99.340	0.660	193.78	0.920	bicubic
396	regnetz_d8.ra3_in1k	320	96.020	3.980	99.520	0.480	23.37	1.000	bicubic
397	tf_efficientnetv2_m.in1k	384	96.020	3.980	99.500	0.500	54.14	1.000	bicubic
398	hgnetv2_b4.ssld_stage1_in22k_in1k	224	96.020	3.980	99.490	0.510	19.80	0.965	bicubic
399	mvitv2_base.fb_in1k	224	96.020	3.980	99.350	0.650	51.47	0.900	bicubic
400	cait_xs24_384.fb_dist_in1k	384	96.010	3.990	99.420	0.580	26.67	1.000	bicubic
401	fastvit_ma36.apple_in1k	256	96.010	3.990	99.360	0.640	44.07	0.950	bicubic
402	vit_small_patch16_384.augreg_in21k_ft_in1k	384	96.000	4.000	99.600	0.400	22.20	1.000	bicubic
403	rexnetr_300.sw_in12k_ft_in1k	224	96.000	4.000	99.490	0.510	34.81	0.950	bicubic
404	vit_medium_patch16_gap_256.sw_in12k_ft_in1k	256	96.000	4.000	99.490	0.510	38.86	0.950	bicubic
405	repvit_m2_3.dist_450e_in1k	224	96.000	4.000	99.400	0.600	23.69	0.950	bicubic
406	coat_lite_medium.in1k	224	96.000	4.000	99.350	0.650	44.57	0.900	bicubic
407	seresnextaa101d_32x8d.ah_in1k	224	96.000	4.000	99.350	0.650	93.59	0.950	bicubic
408	tf_efficientnet_b5.ra_in1k	456	95.990	4.010	99.460	0.540	30.39	0.934	bicubic
409	convnext_small.fb_in1k	288	95.990	4.010	99.430	0.570	50.22	1.000	bicubic
410	regnetz_040_h.ra3_in1k	256	95.990	4.010	99.390	0.610	28.94	1.000	bicubic
411	mobilenetv4_hybrid_large.e600_r384_in1k	384	95.990	4.010	99.340	0.660	37.76	0.950	bicubic
412	hgnetv2_b3.ssld_stage1_in22k_in1k	288	95.980	4.020	99.600	0.400	16.29	1.000	bicubic
413	flexivit_base.600ep_in1k	240	95.980	4.020	99.420	0.580	86.59	0.950	bicubic
414	maxvit_rmlp_small_rw_224.sw_in1k	224	95.980	4.020	99.340	0.660	64.90	0.900	bicubic
415	efficientvit_l1.r224_in1k	224	95.970	4.030	99.120	0.880	52.65	1.000	bicubic
416	xcit_small_12_p8_224.fb_dist_in1k	224	95.960	4.040	99.420	0.580	26.21	1.000	bicubic
417	resnetrs152.tf_in1k	320	95.960	4.040	99.380	0.620	86.62	1.000	bicubic
418	xcit_small_24_p8_224.fb_in1k	224	95.960	4.040	99.180	0.820	47.63	1.000	bicubic
419	pvt_v2_b5.in1k	224	95.950	4.050	99.390	0.610	81.96	0.900	bicubic
420	resnext101_32x8d.fb_wsl_ig1b_ft_in1k	224	95.950	4.050	99.390	0.610	88.79	0.875	bilinear
421	fastvit_sa36.apple_dist_in1k	256	95.950	4.050	99.370	0.630	31.53	0.900	bicubic
422	flexivit_base.300ep_in1k	240	95.950	4.050	99.360	0.640	86.59	0.950	bicubic
423	pvt_v2_b4.in1k	224	95.950	4.050	99.350	0.650	62.56	0.900	bicubic
424	eca_nfnet_l1.ra2_in1k	320	95.940	4.060	99.490	0.510	41.41	1.000	bicubic
425	convnext_base.fb_in1k	224	95.940	4.060	99.380	0.620	88.59	0.875	bicubic
426	repvgg_d2se.rvgg_in1k	320	95.920	4.080	99.490	0.510	133.33	1.000	bilinear
427	gcvit_small.in1k	224	95.920	4.080	99.270	0.730	51.09	0.875	bicubic
428	vit_base_patch32_384.augreg_in21k_ft_in1k	384	95.910	4.090	99.440	0.560	88.30	1.000	bicubic
429	tf_efficientnetv2_s.in21k_ft_in1k	300	95.910	4.090	99.360	0.640	21.46	1.000	bicubic
430	vit_medium_patch16_reg1_gap_256.sbb_in1k	256	95.910	4.090	99.360	0.640	38.88	0.950	bicubic
431	inception_next_base.sail_in1k	224	95.910	4.090	99.230	0.770	86.67	0.950	bicubic
432	regnety_160.deit_in1k	288	95.900	4.100	99.550	0.450	83.59	1.000	bicubic
433	mobilenetv4_hybrid_large.e600_r384_in1k	448	95.900	4.100	99.470	0.530	37.76	1.000	bicubic
434	swin_base_patch4_window7_224.ms_in1k	224	95.900	4.100	99.300	0.700	87.77	0.900	bicubic
435	mobilenetv4_hybrid_large.ix_e600_r384_in1k	384	95.900	4.100	99.250	0.750	37.76	0.950	bicubic
436	mvitv2_small.fb_in1k	224	95.890	4.110	99.420	0.580	34.87	0.900	bicubic
437	focalnet_base_srf.ms_in1k	224	95.890	4.110	99.360	0.640	88.15	0.900	bicubic
438	tf_efficientnet_b5.aa_in1k	456	95.890	4.110	99.360	0.640	30.39	0.934	bicubic
439	vit_medium_patch16_rope_reg1_gap_256.sbb_in1k	256	95.890	4.110	99.340	0.660	38.74	0.950	bicubic
440	xcit_medium_24_p8_224.fb_in1k	224	95.890	4.110	99.090	0.910	84.32	1.000	bicubic
441	edgenext_base.in21k_ft_in1k	256	95.880	4.120	99.410	0.590	18.51	0.950	bicubic
442	nextvit_large.bd_in1k	224	95.880	4.120	99.410	0.590	57.87	0.950	bicubic
443	regnetz_d32.ra3_in1k	320	95.870	4.130	99.440	0.560	27.58	0.950	bicubic
444	sequencer2d_l.in1k	224	95.860	4.140	99.470	0.530	54.30	0.875	bicubic
445	regnety_080.ra3_in1k	288	95.860	4.140	99.460	0.540	39.18	1.000	bicubic
446	resmlp_big_24_224.fb_distilled_in1k	224	95.860	4.140	99.440	0.560	129.14	0.875	bicubic
447	resnet152d.ra2_in1k	320	95.860	4.140	99.430	0.570	60.21	1.000	bicubic
448	pit_b_distilled_224.in1k	224	95.860	4.140	99.200	0.800	74.79	0.900	bicubic
449	vit_little_patch16_reg1_gap_256.sbb_in12k_ft_in1k	256	95.850	4.150	99.410	0.590	22.52	0.950	bicubic
450	tf_efficientnet_b5.in1k	456	95.850	4.150	99.400	0.600	30.39	0.934	bicubic
451	swin_s3_small_224.ms_in1k	224	95.850	4.150	99.190	0.810	49.74	0.900	bicubic
452	resnext101_64x4d.tv_in1k	224	95.840	4.160	99.320	0.680	83.46	0.875	bilinear
453	tresnet_v2_l.miil_in21k_ft_in1k	224	95.840	4.160	99.290	0.710	46.17	0.875	bilinear
454	focalnet_base_lrf.ms_in1k	224	95.840	4.160	99.170	0.830	88.75	0.900	bicubic
455	resnetrs270.tf_in1k	256	95.830	4.170	99.410	0.590	129.86	1.000	bicubic
456	regnetz_d8.ra3_in1k	256	95.830	4.170	99.310	0.690	23.37	0.940	bicubic
457	crossvit_15_dagger_408.in1k	408	95.830	4.170	99.300	0.700	28.50	1.000	bicubic
458	resnetaa101d.sw_in12k_ft_in1k	224	95.830	4.170	99.290	0.710	44.57	0.950	bicubic
459	maxvit_tiny_tf_224.in1k	224	95.830	4.170	99.250	0.750	30.92	0.950	bicubic
460	efficientvit_b3.r256_in1k	256	95.830	4.170	99.190	0.810	48.65	1.000	bicubic
461	rdnet_small.nv_in1k	224	95.820	4.180	99.420	0.580	50.44	0.900	bicubic
462	deit3_small_patch16_224.fb_in22k_ft_in1k	224	95.820	4.180	99.400	0.600	22.06	1.000	bicubic
463	resnetrs200.tf_in1k	256	95.820	4.180	99.350	0.650	93.21	1.000	bicubic
464	convnextv2_tiny.fcmae_ft_in1k	288	95.820	4.180	99.330	0.670	28.64	1.000	bicubic
465	hiera_small_224.mae_in1k_ft_in1k	224	95.820	4.180	99.190	0.810	35.01	0.900	bicubic
466	regnety_064.ra3_in1k	288	95.810	4.190	99.290	0.710	30.58	1.000	bicubic
467	regnetv_064.ra3_in1k	288	95.800	4.200	99.420	0.580	30.58	1.000	bicubic
468	regnetz_d8_evos.ch_in1k	256	95.800	4.200	99.400	0.600	23.46	0.950	bicubic
469	regnety_320.seer_ft_in1k	384	95.800	4.200	99.390	0.610	145.05	1.000	bicubic
470	xcit_small_24_p16_224.fb_dist_in1k	224	95.800	4.200	99.350	0.650	47.67	1.000	bicubic
471	vit_betwixt_patch16_rope_reg4_gap_256.sbb_in1k	256	95.800	4.200	99.270	0.730	60.23	0.950	bicubic
472	seresnext101_32x8d.ah_in1k	224	95.800	4.200	99.260	0.740	93.57	0.950	bicubic
473	edgenext_base.usi_in1k	320	95.790	4.210	99.580	0.420	18.51	1.000	bicubic
474	hgnetv2_b3.ssld_stage2_ft_in1k	224	95.790	4.210	99.390	0.610	16.29	0.965	bicubic
475	vit_medium_patch16_reg4_gap_256.sbb_in1k	256	95.790	4.210	99.280	0.720	38.88	0.950	bicubic
476	deit3_base_patch16_224.fb_in1k	224	95.790	4.210	99.260	0.740	86.59	0.900	bicubic
477	resnet152.a1h_in1k	288	95.780	4.220	99.440	0.560	60.19	1.000	bicubic
478	convnextv2_nano.fcmae_ft_in22k_in1k_384	384	95.780	4.220	99.300	0.700	15.62	1.000	bicubic
479	deit_base_distilled_patch16_224.fb_in1k	224	95.780	4.220	99.280	0.720	87.34	0.900	bicubic
480	edgenext_base.usi_in1k	256	95.770	4.230	99.420	0.580	18.51	0.950	bicubic
481	regnetv_040.ra3_in1k	288	95.770	4.230	99.390	0.610	20.64	1.000	bicubic
482	swinv2_small_window8_256.ms_in1k	256	95.770	4.230	99.360	0.640	49.73	0.900	bicubic
483	xcit_small_12_p16_224.fb_dist_in1k	224	95.770	4.230	99.300	0.700	26.25	1.000	bicubic
484	regnetz_040.ra3_in1k	256	95.760	4.240	99.410	0.590	27.12	1.000	bicubic
485	tf_efficientnetv2_s.in1k	384	95.760	4.240	99.410	0.590	21.46	1.000	bicubic
486	hrnet_w18_ssld.paddle_in1k	288	95.760	4.240	99.330	0.670	21.30	1.000	bilinear
487	hgnetv2_b2.ssld_stage2_ft_in1k	288	95.750	4.250	99.470	0.530	11.22	1.000	bicubic
488	hgnetv2_b3.ssld_stage1_in22k_in1k	224	95.750	4.250	99.440	0.560	16.29	0.965	bicubic
489	resnet101d.ra2_in1k	320	95.750	4.250	99.440	0.560	44.57	1.000	bicubic
490	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	224	95.750	4.250	99.430	0.570	236.34	0.875	bicubic
491	efficientnetv2_rw_s.ra2_in1k	384	95.750	4.250	99.360	0.640	23.94	1.000	bicubic
492	twins_pcpvt_large.in1k	224	95.740	4.260	99.480	0.520	60.99	0.900	bicubic
493	efficientformerv2_l.snap_dist_in1k	224	95.740	4.260	99.370	0.630	26.32	0.950	bicubic
494	convnext_tiny.fb_in22k_ft_in1k	224	95.740	4.260	99.360	0.640	28.59	0.875	bicubic
495	dm_nfnet_f0.dm_in1k	256	95.730	4.270	99.370	0.630	71.49	0.900	bicubic
496	caformer_s18.sail_in1k	224	95.730	4.270	99.290	0.710	26.34	1.000	bicubic
497	swin_small_patch4_window7_224.ms_in1k	224	95.730	4.270	99.290	0.710	49.61	0.900	bicubic
498	focalnet_small_lrf.ms_in1k	224	95.730	4.270	99.210	0.790	50.34	0.900	bicubic
499	maxvit_tiny_rw_224.sw_in1k	224	95.730	4.270	99.170	0.830	29.06	0.950	bicubic
500	mobilenetv4_hybrid_medium.ix_e550_r384_in1k	448	95.720	4.280	99.440	0.560	11.07	1.000	bicubic
501	swinv2_cr_small_ns_224.sw_in1k	224	95.720	4.280	99.300	0.700	49.70	0.900	bicubic
502	tiny_vit_11m_224.dist_in22k_ft_in1k	224	95.720	4.280	99.280	0.720	11.00	0.950	bicubic
503	mobilenetv4_conv_aa_large.e600_r384_in1k	384	95.710	4.290	99.340	0.660	32.59	0.950	bicubic
504	twins_svt_large.in1k	224	95.700	4.300	99.370	0.630	99.27	0.900	bicubic
505	gcvit_tiny.in1k	224	95.700	4.300	99.340	0.660	28.22	0.875	bicubic
506	nextvit_base.bd_in1k	224	95.690	4.310	99.380	0.620	44.82	0.950	bicubic
507	inception_next_small.sail_in1k	224	95.690	4.310	99.270	0.730	49.37	0.875	bicubic
508	tiny_vit_21m_224.in1k	224	95.690	4.310	99.240	0.760	21.20	0.950	bicubic
509	mobilenetv4_conv_large.e600_r384_in1k	448	95.680	4.320	99.450	0.550	32.59	1.000	bicubic
510	xception65.ra3_in1k	299	95.680	4.320	99.310	0.690	39.92	0.940	bicubic
511	repvit_m2_3.dist_300e_in1k	224	95.670	4.330	99.400	0.600	23.69	0.950	bicubic
512	vit_betwixt_patch16_reg1_gap_256.sbb_in1k	256	95.670	4.330	99.280	0.720	60.40	0.950	bicubic
513	xception65p.ra3_in1k	299	95.670	4.330	99.270	0.730	39.82	0.940	bicubic
514	resnext50_32x4d.fb_swsl_ig1b_ft_in1k	224	95.660	4.340	99.450	0.550	25.03	0.875	bilinear
515	regnetz_c16_evos.ch_in1k	320	95.660	4.340	99.420	0.580	13.49	0.950	bicubic
516	deit3_small_patch16_384.fb_in1k	384	95.660	4.340	99.390	0.610	22.21	1.000	bicubic
517	deit_base_patch16_384.fb_in1k	384	95.660	4.340	99.240	0.760	86.86	1.000	bicubic
518	cait_s24_224.fb_dist_in1k	224	95.650	4.350	99.380	0.620	46.92	1.000	bicubic
519	resnet200d.ra2_in1k	256	95.650	4.350	99.310	0.690	64.69	0.950	bicubic
520	ecaresnet101d.miil_in1k	288	95.640	4.360	99.360	0.640	44.57	0.950	bicubic
521	resnetv2_101.a1h_in1k	288	95.630	4.370	99.370	0.630	44.54	1.000	bicubic
522	focalnet_small_srf.ms_in1k	224	95.630	4.370	99.300	0.700	49.89	0.900	bicubic
523	efficientformer_l7.snap_dist_in1k	224	95.620	4.380	99.450	0.550	82.23	0.950	bicubic
524	mobilenetv4_hybrid_medium.ix_e550_r384_in1k	384	95.620	4.380	99.400	0.600	11.07	0.950	bicubic
525	fastvit_sa36.apple_in1k	256	95.620	4.380	99.320	0.680	31.53	0.900	bicubic
526	coatnet_1_rw_224.sw_in1k	224	95.620	4.380	99.220	0.780	41.72	0.950	bicubic
527	dm_nfnet_f1.dm_in1k	224	95.610	4.390	99.380	0.620	132.63	0.910	bicubic
528	cs3se_edgenet_x.c2ns_in1k	256	95.610	4.390	99.300	0.700	50.72	0.950	bicubic
529	eca_nfnet_l1.ra2_in1k	256	95.610	4.390	99.300	0.700	41.41	0.900	bicubic
530	sequencer2d_m.in1k	224	95.610	4.390	99.290	0.710	38.31	0.875	bicubic
531	resnest101e.in1k	256	95.610	4.390	99.280	0.720	48.28	0.875	bilinear
532	tf_efficientnetv2_b3.in21k_ft_in1k	300	95.610	4.390	99.280	0.720	14.36	0.900	bicubic
533	convnext_small.fb_in1k	224	95.610	4.390	99.260	0.740	50.22	0.875	bicubic
534	efficientvit_b2.r288_in1k	288	95.610	4.390	99.240	0.760	24.33	1.000	bicubic
535	hgnet_tiny.ssld_in1k	288	95.590	4.410	99.470	0.530	14.74	1.000	bicubic
536	regnety_320.tv2_in1k	224	95.590	4.410	99.400	0.600	145.05	0.965	bicubic
537	tf_efficientnet_b4.aa_in1k	380	95.590	4.410	99.320	0.680	19.34	0.922	bicubic
538	regnety_064.ra3_in1k	224	95.590	4.410	99.160	0.840	30.58	0.950	bicubic
539	fastvit_sa24.apple_dist_in1k	256	95.580	4.420	99.310	0.690	21.55	0.900	bicubic
540	resnet152.a1h_in1k	224	95.580	4.420	99.260	0.740	60.19	0.950	bicubic
541	resnet101.a1h_in1k	288	95.580	4.420	99.250	0.750	44.55	1.000	bicubic
542	nest_small_jx.goog_in1k	224	95.580	4.420	99.220	0.780	38.35	0.875	bicubic
543	resnext101_64x4d.c1_in1k	288	95.570	4.430	99.290	0.710	83.46	1.000	bicubic
544	vit_betwixt_patch16_reg4_gap_256.sbb_in1k	256	95.570	4.430	99.270	0.730	60.40	0.950	bicubic
545	regnety_080.ra3_in1k	224	95.570	4.430	99.260	0.740	39.18	0.950	bicubic
546	twins_svt_base.in1k	224	95.570	4.430	99.230	0.770	56.07	0.900	bicubic
547	hgnetv2_b2.ssld_stage1_in22k_in1k	288	95.560	4.440	99.440	0.560	11.22	1.000	bicubic
548	rexnet_300.nav_in1k	224	95.560	4.440	99.300	0.700	34.71	0.875	bicubic
549	tresnet_xl.miil_in1k_448	448	95.550	4.450	99.330	0.670	78.44	0.875	bilinear
550	efficientvit_b3.r224_in1k	224	95.550	4.450	99.200	0.800	48.65	0.950	bicubic
551	regnety_160.deit_in1k	224	95.530	4.470	99.390	0.610	83.59	0.950	bicubic
552	tf_efficientnet_b2.ns_jft_in1k	260	95.530	4.470	99.340	0.660	9.11	0.890	bicubic
553	nest_base_jx.goog_in1k	224	95.530	4.470	99.300	0.700	67.72	0.875	bicubic
554	efficientnet_b4.ra2_in1k	384	95.520	4.480	99.400	0.600	19.34	1.000	bicubic
555	coatnet_rmlp_1_rw_224.sw_in1k	224	95.510	4.490	99.260	0.740	41.69	0.950	bicubic
556	tf_efficientnet_b4.ap_in1k	380	95.500	4.500	99.380	0.620	19.34	0.922	bicubic
557	tf_efficientnet_b4.in1k	380	95.500	4.500	99.280	0.720	19.34	0.922	bicubic
558	regnetv_064.ra3_in1k	224	95.490	4.510	99.350	0.650	30.58	0.950	bicubic
559	twins_pcpvt_base.in1k	224	95.480	4.520	99.370	0.630	43.83	0.900	bicubic
560	pvt_v2_b3.in1k	224	95.480	4.520	99.330	0.670	45.24	0.900	bicubic
561	xcit_tiny_24_p8_224.fb_dist_in1k	224	95.480	4.520	99.310	0.690	12.11	1.000	bicubic
562	cs3edgenet_x.c2_in1k	288	95.480	4.520	99.290	0.710	47.82	1.000	bicubic
563	maxvit_nano_rw_256.sw_in1k	256	95.480	4.520	99.130	0.870	15.45	0.950	bicubic
564	xcit_tiny_24_p16_384.fb_dist_in1k	384	95.470	4.530	99.350	0.650	12.12	1.000	bicubic
565	regnety_032.ra_in1k	288	95.470	4.530	99.330	0.670	19.44	1.000	bicubic
566	regnety_040.ra3_in1k	288	95.450	4.550	99.410	0.590	20.65	1.000	bicubic
567	eca_nfnet_l0.ra2_in1k	288	95.450	4.550	99.390	0.610	24.14	1.000	bicubic
568	xcit_tiny_12_p8_384.fb_dist_in1k	384	95.450	4.550	99.340	0.660	6.71	1.000	bicubic
569	xcit_small_12_p8_224.fb_in1k	224	95.450	4.550	99.190	0.810	26.21	1.000	bicubic
570	maxxvitv2_nano_rw_256.sw_in1k	256	95.440	4.560	99.210	0.790	23.70	0.950	bicubic
571	efficientnetv2_rw_s.ra2_in1k	288	95.440	4.560	99.190	0.810	23.94	1.000	bicubic
572	nfnet_l0.ra2_in1k	288	95.430	4.570	99.430	0.570	35.07	1.000	bicubic
573	sequencer2d_s.in1k	224	95.430	4.570	99.260	0.740	27.65	0.875	bicubic
574	resnet101d.ra2_in1k	256	95.430	4.570	99.200	0.800	44.57	0.950	bicubic
575	maxvit_rmlp_nano_rw_256.sw_in1k	256	95.430	4.570	99.080	0.920	15.50	0.950	bicubic
576	resnet152d.ra2_in1k	256	95.420	4.580	99.310	0.690	60.21	0.950	bicubic
577	cs3sedarknet_x.c2ns_in1k	288	95.420	4.580	99.300	0.700	35.40	1.000	bicubic
578	efficientnet_b4.ra2_in1k	320	95.420	4.580	99.290	0.710	19.34	0.875	bicubic
579	mobilevitv2_200.cvnets_in22k_ft_in1k_384	384	95.420	4.580	99.280	0.720	18.45	1.000	bicubic
580	tresnet_m.miil_in21k_ft_in1k	224	95.420	4.580	99.160	0.840	31.39	0.875	bilinear
581	swinv2_cr_small_224.sw_in1k	224	95.420	4.580	99.060	0.940	49.70	0.900	bicubic
582	resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k	224	95.410	4.590	99.400	0.600	194.03	0.875	bilinear
583	tresnet_l.miil_in1k_448	448	95.410	4.590	99.280	0.720	55.99	0.875	bilinear
584	tf_efficientnetv2_s.in1k	300	95.400	4.600	99.320	0.680	21.46	1.000	bicubic
585	mvitv2_tiny.fb_in1k	224	95.400	4.600	99.160	0.840	24.17	0.900	bicubic
586	convnext_nano.in12k_ft_in1k	288	95.390	4.610	99.480	0.520	15.59	1.000	bicubic
587	resnetv2_50x1_bit.goog_distilled_in1k	224	95.390	4.610	99.420	0.580	25.55	0.875	bicubic
588	regnetz_c16.ra3_in1k	320	95.390	4.610	99.340	0.660	13.46	1.000	bicubic
589	regnetz_d32.ra3_in1k	256	95.390	4.610	99.340	0.660	27.58	0.950	bicubic
590	mobilenetv4_conv_large.e600_r384_in1k	384	95.390	4.610	99.240	0.760	32.59	0.950	bicubic
591	deit3_medium_patch16_224.fb_in1k	224	95.390	4.610	99.170	0.830	38.85	0.900	bicubic
592	convnextv2_nano.fcmae_ft_in22k_in1k	288	95.380	4.620	99.320	0.680	15.62	1.000	bicubic
593	resnetrs152.tf_in1k	256	95.380	4.620	99.230	0.770	86.62	1.000	bicubic
594	convnextv2_nano.fcmae_ft_in22k_in1k	224	95.380	4.620	99.180	0.820	15.62	0.875	bicubic
595	swinv2_tiny_window16_256.ms_in1k	256	95.370	4.630	99.300	0.700	28.35	0.900	bicubic
596	pnasnet5large.tf_in1k	331	95.370	4.630	99.130	0.870	86.06	0.911	bicubic
597	hgnet_tiny.ssld_in1k	224	95.360	4.640	99.400	0.600	14.74	0.965	bicubic
598	maxxvit_rmlp_nano_rw_256.sw_in1k	256	95.360	4.640	99.330	0.670	16.78	0.950	bicubic
599	regnetz_c16_evos.ch_in1k	256	95.360	4.640	99.300	0.700	13.49	0.950	bicubic
600	regnetv_040.ra3_in1k	224	95.360	4.640	99.240	0.760	20.64	0.950	bicubic
601	resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k	224	95.340	4.660	99.330	0.670	88.79	0.875	bilinear
602	mobilevitv2_150.cvnets_in22k_ft_in1k_384	384	95.340	4.660	99.130	0.870	10.59	1.000	bicubic
603	resnetv2_101x1_bit.goog_in21k_ft_in1k	448	95.330	4.670	99.380	0.620	44.54	1.000	bilinear
604	regnetx_320.tv2_in1k	224	95.330	4.670	99.300	0.700	107.81	0.965	bicubic
605	vit_little_patch16_reg4_gap_256.sbb_in1k	256	95.330	4.670	99.290	0.710	22.52	0.950	bicubic
606	convformer_s18.sail_in1k	224	95.330	4.670	99.150	0.850	26.77	1.000	bicubic
607	rexnetr_200.sw_in12k_ft_in1k	288	95.320	4.680	99.450	0.550	16.52	1.000	bicubic
608	rdnet_tiny.nv_in1k	224	95.320	4.680	99.260	0.740	23.86	0.900	bicubic
609	repvit_m1_5.dist_450e_in1k	224	95.320	4.680	99.260	0.740	14.64	0.950	bicubic
610	regnety_080_tv.tv2_in1k	224	95.320	4.680	99.220	0.780	39.38	0.965	bicubic
611	mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	320	95.310	4.690	99.430	0.570	11.07	1.000	bicubic
612	resnext101_32x8d.tv2_in1k	224	95.310	4.690	99.350	0.650	88.79	0.965	bilinear
613	fastvit_sa24.apple_in1k	256	95.310	4.690	99.310	0.690	21.55	0.900	bicubic
614	convnextv2_tiny.fcmae_ft_in1k	224	95.300	4.700	99.240	0.760	28.64	0.875	bicubic
615	gc_efficientnetv2_rw_t.agc_in1k	288	95.300	4.700	99.230	0.770	13.68	1.000	bicubic
616	resnetaa50d.sw_in12k_ft_in1k	288	95.290	4.710	99.390	0.610	25.58	1.000	bicubic
617	rexnetr_200.sw_in12k_ft_in1k	224	95.290	4.710	99.210	0.790	16.52	0.950	bicubic
618	flexivit_small.600ep_in1k	240	95.290	4.710	99.190	0.810	22.06	0.950	bicubic
619	efficientvit_b2.r256_in1k	256	95.290	4.710	99.110	0.890	24.33	1.000	bicubic
620	resnet50d.ra4_e3600_r224_in1k	288	95.280	4.720	99.260	0.740	25.58	1.000	bicubic
621	vit_relpos_medium_patch16_cls_224.sw_in1k	224	95.280	4.720	99.120	0.880	38.76	0.900	bicubic
622	cs3darknet_x.c2ns_in1k	288	95.270	4.730	99.290	0.710	35.05	1.000	bicubic
623	pvt_v2_b2_li.in1k	224	95.270	4.730	99.280	0.720	22.55	0.900	bicubic
624	convnext_tiny_hnf.a2h_in1k	288	95.270	4.730	98.970	1.030	28.59	1.000	bicubic
625	mobilevitv2_175.cvnets_in22k_ft_in1k_384	384	95.260	4.740	99.380	0.620	14.25	1.000	bicubic
626	regnetx_160.tv2_in1k	224	95.260	4.740	99.260	0.740	54.28	0.965	bicubic
627	vit_relpos_base_patch16_clsgap_224.sw_in1k	224	95.260	4.740	99.200	0.800	86.43	0.900	bicubic
628	flexivit_small.1200ep_in1k	240	95.260	4.740	99.170	0.830	22.06	0.950	bicubic
629	resnet50.fb_swsl_ig1b_ft_in1k	224	95.250	4.750	99.400	0.600	25.56	0.875	bilinear
630	vit_large_patch32_384.orig_in21k_ft_in1k	384	95.250	4.750	99.320	0.680	306.63	1.000	bicubic
631	cait_xxs36_384.fb_dist_in1k	384	95.250	4.750	99.310	0.690	17.37	1.000	bicubic
632	vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	224	95.250	4.750	99.250	0.750	88.22	0.900	bicubic
633	wide_resnet101_2.tv2_in1k	224	95.250	4.750	99.200	0.800	126.89	0.965	bilinear
634	hiera_tiny_224.mae_in1k_ft_in1k	224	95.250	4.750	99.090	0.910	27.91	0.900	bicubic
635	resnetv2_50d_gn.ah_in1k	288	95.240	4.760	99.030	0.970	25.57	1.000	bicubic
636	mobilenetv4_hybrid_medium.ix_e550_r256_in1k	320	95.230	4.770	99.400	0.600	11.07	1.000	bicubic
637	nextvit_small.bd_in1k	224	95.230	4.770	99.220	0.780	31.76	0.950	bicubic
638	resnetrs101.tf_in1k	288	95.230	4.770	99.210	0.790	63.62	0.940	bicubic
639	resnext101_64x4d.c1_in1k	224	95.230	4.770	99.130	0.870	83.46	0.950	bicubic
640	efficientformer_l3.snap_dist_in1k	224	95.220	4.780	99.320	0.680	31.41	0.950	bicubic
641	convnext_nano.in12k_ft_in1k	224	95.220	4.780	99.260	0.740	15.59	0.950	bicubic
642	vit_base_patch16_224.orig_in21k_ft_in1k	224	95.220	4.780	99.240	0.760	86.57	0.900	bicubic
643	focalnet_tiny_lrf.ms_in1k	224	95.220	4.780	99.220	0.780	28.65	0.900	bicubic
644	tiny_vit_11m_224.in1k	224	95.220	4.780	99.200	0.800	11.00	0.950	bicubic
645	levit_384.fb_dist_in1k	224	95.220	4.780	99.170	0.830	39.13	0.900	bicubic
646	levit_conv_384.fb_dist_in1k	224	95.220	4.780	99.170	0.830	39.13	0.900	bicubic
647	convnext_tiny.fb_in1k	288	95.210	4.790	99.320	0.680	28.59	1.000	bicubic
648	coat_small.in1k	224	95.210	4.790	99.290	0.710	21.69	0.900	bicubic
649	resnet51q.ra2_in1k	288	95.210	4.790	99.260	0.740	35.70	1.000	bilinear
650	hgnetv2_b2.ssld_stage2_ft_in1k	224	95.210	4.790	99.240	0.760	11.22	0.965	bicubic
651	ecaresnet101d.miil_in1k	224	95.200	4.800	99.250	0.750	44.57	0.875	bicubic
652	vit_relpos_medium_patch16_224.sw_in1k	224	95.200	4.800	99.230	0.770	38.75	0.900	bicubic
653	poolformerv2_m48.sail_in1k	224	95.200	4.800	99.150	0.850	73.35	1.000	bicubic
654	crossvit_18_dagger_240.in1k	240	95.190	4.810	99.120	0.880	44.27	0.875	bicubic
655	vit_relpos_base_patch16_224.sw_in1k	224	95.180	4.820	99.280	0.720	86.43	0.900	bicubic
656	nasnetalarge.tf_in1k	331	95.180	4.820	99.130	0.870	88.75	0.911	bicubic
657	mobilenetv4_conv_large.e500_r256_in1k	320	95.160	4.840	99.340	0.660	32.59	1.000	bicubic
658	resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k	224	95.160	4.840	99.330	0.670	44.18	0.875	bilinear
659	convnextv2_nano.fcmae_ft_in1k	288	95.160	4.840	99.250	0.750	15.62	1.000	bicubic
660	regnety_160.tv2_in1k	224	95.160	4.840	99.250	0.750	83.59	0.965	bicubic
661	regnetz_c16.ra3_in1k	256	95.160	4.840	99.190	0.810	13.46	0.940	bicubic
662	efficientnet_b3.ra2_in1k	320	95.150	4.850	99.210	0.790	12.23	1.000	bicubic
663	hrnet_w18_ssld.paddle_in1k	224	95.150	4.850	99.210	0.790	21.30	0.950	bilinear
664	flexivit_small.300ep_in1k	240	95.150	4.850	99.150	0.850	22.06	0.950	bicubic
665	repvit_m1_5.dist_300e_in1k	224	95.140	4.860	99.280	0.720	14.64	0.950	bicubic
666	cs3edgenet_x.c2_in1k	256	95.140	4.860	99.240	0.760	47.82	0.887	bicubic
667	vit_small_r26_s32_224.augreg_in21k_ft_in1k	224	95.140	4.860	99.220	0.780	36.43	0.900	bicubic
668	tf_efficientnetv2_b3.in1k	300	95.140	4.860	99.210	0.790	14.36	0.904	bicubic
669	resnet61q.ra2_in1k	288	95.140	4.860	99.070	0.930	36.85	1.000	bicubic
670	resnet152.a1_in1k	288	95.140	4.860	99.010	0.990	60.19	1.000	bicubic
671	xcit_medium_24_p16_224.fb_in1k	224	95.140	4.860	98.920	1.080	84.40	1.000	bicubic
672	wide_resnet50_2.racm_in1k	288	95.130	4.870	99.260	0.740	68.88	0.950	bicubic
673	fbnetv3_g.ra2_in1k	288	95.130	4.870	99.190	0.810	16.62	0.950	bilinear
674	inception_next_tiny.sail_in1k	224	95.120	4.880	99.140	0.860	28.06	0.875	bicubic
675	convit_base.fb_in1k	224	95.120	4.880	99.120	0.880	86.54	0.875	bicubic
676	ecaresnet50t.ra2_in1k	320	95.110	4.890	99.290	0.710	25.57	0.950	bicubic
677	efficientformerv2_s2.snap_dist_in1k	224	95.110	4.890	99.120	0.880	12.71	0.950	bicubic
678	mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	256	95.100	4.900	99.250	0.750	11.07	0.950	bicubic
679	cs3sedarknet_l.c2ns_in1k	288	95.100	4.900	99.220	0.780	21.91	0.950	bicubic
680	davit_tiny.msft_in1k	224	95.100	4.900	99.140	0.860	28.36	0.950	bicubic
681	mobilevitv2_200.cvnets_in22k_ft_in1k	256	95.100	4.900	99.090	0.910	18.45	0.888	bicubic
682	coat_lite_small.in1k	224	95.100	4.900	99.020	0.980	19.84	0.900	bicubic
683	hgnet_small.paddle_in1k	288	95.090	4.910	99.320	0.680	24.36	1.000	bicubic
684	efficientnetv2_rw_t.ra2_in1k	288	95.090	4.910	99.210	0.790	13.65	1.000	bicubic
685	vit_relpos_medium_patch16_rpn_224.sw_in1k	224	95.090	4.910	99.210	0.790	38.73	0.900	bicubic
686	poolformer_m48.sail_in1k	224	95.090	4.910	99.100	0.900	73.47	0.950	bicubic
687	tresnet_xl.miil_in1k	224	95.080	4.920	99.250	0.750	78.44	0.875	bilinear
688	xception41p.ra3_in1k	299	95.080	4.920	99.190	0.810	26.91	0.940	bicubic
689	resnet152.tv2_in1k	224	95.080	4.920	99.180	0.820	60.19	0.965	bilinear
690	xcit_small_24_p16_224.fb_in1k	224	95.080	4.920	99.070	0.930	47.67	1.000	bicubic
691	ecaresnet101d_pruned.miil_in1k	288	95.060	4.940	99.240	0.760	24.88	0.950	bicubic
692	cs3sedarknet_x.c2ns_in1k	256	95.060	4.940	99.200	0.800	35.40	0.887	bicubic
693	swinv2_tiny_window8_256.ms_in1k	256	95.060	4.940	99.180	0.820	28.35	0.900	bicubic
694	coatnet_rmlp_nano_rw_224.sw_in1k	224	95.060	4.940	99.160	0.840	15.15	0.900	bicubic
695	crossvit_18_240.in1k	240	95.060	4.940	99.120	0.880	43.27	0.875	bicubic
696	poolformer_m36.sail_in1k	224	95.060	4.940	99.100	0.900	56.17	0.950	bicubic
697	cs3sedarknet_l.c2ns_in1k	256	95.050	4.950	99.140	0.860	21.91	0.887	bicubic
698	gcvit_xtiny.in1k	224	95.040	4.960	99.200	0.800	19.98	0.875	bicubic
699	poolformerv2_m36.sail_in1k	224	95.040	4.960	99.150	0.850	56.08	1.000	bicubic
700	deit_base_patch16_224.fb_in1k	224	95.040	4.960	98.960	1.040	86.57	0.900	bicubic
701	resnet61q.ra2_in1k	256	95.040	4.960	98.940	1.060	36.85	0.900	bicubic
702	cs3darknet_x.c2ns_in1k	256	95.030	4.970	99.190	0.810	35.05	0.950	bicubic
703	resnet51q.ra2_in1k	256	95.030	4.970	99.190	0.810	35.70	0.875	bilinear
704	hgnetv2_b2.ssld_stage1_in22k_in1k	224	95.030	4.970	99.180	0.820	11.22	0.965	bicubic
705	coatnet_nano_rw_224.sw_in1k	224	95.030	4.970	99.150	0.850	15.14	0.900	bicubic
706	focalnet_tiny_srf.ms_in1k	224	95.020	4.980	99.280	0.720	28.43	0.900	bicubic
707	halo2botnet50ts_256.a1h_in1k	256	95.020	4.980	99.050	0.950	22.64	0.950	bicubic
708	crossvit_base_240.in1k	240	95.020	4.980	98.990	1.010	105.03	0.875	bicubic
709	seresnext50_32x4d.racm_in1k	288	95.010	4.990	99.200	0.800	27.56	0.950	bicubic
710	tf_efficientnet_b3.ap_in1k	300	95.010	4.990	99.090	0.910	12.23	0.904	bicubic
711	regnety_040.ra3_in1k	224	95.000	5.000	99.220	0.780	20.65	0.950	bicubic
712	resnext50_32x4d.a1h_in1k	288	95.000	5.000	99.190	0.810	25.03	1.000	bicubic
713	pvt_v2_b2.in1k	224	95.000	5.000	99.140	0.860	25.36	0.900	bicubic
714	resnet152.a2_in1k	288	95.000	5.000	99.060	0.940	60.19	1.000	bicubic
715	resnet101.a1h_in1k	224	94.990	5.010	99.090	0.910	44.55	0.950	bicubic
716	coatnet_bn_0_rw_224.sw_in1k	224	94.980	5.020	99.230	0.770	27.44	0.950	bicubic
717	cait_xxs24_384.fb_dist_in1k	384	94.980	5.020	99.150	0.850	12.03	1.000	bicubic
718	crossvit_15_dagger_240.in1k	240	94.980	5.020	99.150	0.850	28.21	0.875	bicubic
719	convnext_tiny.fb_in1k	224	94.970	5.030	99.210	0.790	28.59	0.875	bicubic
720	visformer_small.in1k	224	94.970	5.030	99.210	0.790	40.22	0.900	bicubic
721	convmixer_1536_20.in1k	224	94.970	5.030	99.170	0.830	51.63	0.960	bicubic
722	swin_s3_tiny_224.ms_in1k	224	94.960	5.040	99.160	0.840	28.33	0.900	bicubic
723	eca_nfnet_l0.ra2_in1k	224	94.960	5.040	99.150	0.850	24.14	0.900	bicubic
724	resnetaa50d.sw_in12k_ft_in1k	224	94.950	5.050	99.270	0.730	25.58	0.950	bicubic
725	vit_srelpos_medium_patch16_224.sw_in1k	224	94.950	5.050	99.200	0.800	38.74	0.900	bicubic
726	xcit_large_24_p16_224.fb_in1k	224	94.950	5.050	98.830	1.170	189.10	1.000	bicubic
727	gernet_l.idstcv_in1k	256	94.940	5.060	99.200	0.800	31.08	0.875	bilinear
728	efficientnet_b3.ra2_in1k	288	94.940	5.060	99.170	0.830	12.23	0.875	bicubic
729	resnetv2_101.a1h_in1k	224	94.940	5.060	99.150	0.850	44.54	0.950	bicubic
730	nest_tiny_jx.goog_in1k	224	94.940	5.060	99.100	0.900	17.06	0.875	bicubic
731	coatnet_0_rw_224.sw_in1k	224	94.930	5.070	99.020	0.980	27.44	0.950	bicubic
732	regnety_032.ra_in1k	224	94.920	5.080	99.180	0.820	19.44	0.950	bicubic
733	tf_efficientnet_b3.aa_in1k	300	94.920	5.080	99.090	0.910	12.23	0.904	bicubic
734	vit_small_patch16_224.augreg_in21k_ft_in1k	224	94.910	5.090	99.270	0.730	22.05	0.900	bicubic
735	resnext101_32x8d.tv2_in1k	176	94.910	5.090	99.220	0.780	88.79	0.875	bilinear
736	convit_small.fb_in1k	224	94.910	5.090	99.120	0.880	27.78	0.875	bicubic
737	convnextv2_nano.fcmae_ft_in1k	224	94.910	5.090	99.000	1.000	15.62	0.875	bicubic
738	ecaresnet50t.a1_in1k	288	94.900	5.100	99.080	0.920	25.57	1.000	bicubic
739	mixer_b16_224.miil_in21k_ft_in1k	224	94.900	5.100	99.080	0.920	59.88	0.875	bilinear
740	resnet101.a1_in1k	288	94.900	5.100	99.030	0.970	44.55	1.000	bicubic
741	nfnet_l0.ra2_in1k	224	94.890	5.110	99.260	0.740	35.07	0.900	bicubic
742	regnety_032.tv2_in1k	224	94.890	5.110	99.250	0.750	19.44	0.965	bicubic
743	resnetv2_50d_evos.ah_in1k	288	94.890	5.110	99.200	0.800	25.59	1.000	bicubic
744	convnext_nano.d1h_in1k	288	94.890	5.110	99.130	0.870	15.59	1.000	bicubic
745	resnet101.a2_in1k	288	94.890	5.110	99.090	0.910	44.55	1.000	bicubic
746	resnet101.tv2_in1k	224	94.890	5.110	99.030	0.970	44.55	0.965	bilinear
747	efficientvit_b2.r224_in1k	224	94.890	5.110	99.000	1.000	24.33	0.950	bicubic
748	tf_efficientnet_b1.ns_jft_in1k	240	94.880	5.120	99.250	0.750	7.79	0.882	bicubic
749	xcit_tiny_24_p8_224.fb_in1k	224	94.880	5.120	99.190	0.810	12.11	1.000	bicubic
750	seresnext50_32x4d.racm_in1k	224	94.880	5.120	99.130	0.870	27.56	0.875	bicubic
751	tf_efficientnet_lite4.in1k	380	94.880	5.120	99.120	0.880	13.01	0.920	bilinear
752	xcit_small_12_p16_224.fb_in1k	224	94.870	5.130	99.040	0.960	26.25	1.000	bicubic
753	tf_efficientnetv2_b3.in21k_ft_in1k	240	94.870	5.130	99.020	0.980	14.36	0.900	bicubic
754	mobilenetv4_hybrid_medium.e500_r224_in1k	256	94.860	5.140	99.210	0.790	11.07	1.000	bicubic
755	coatnext_nano_rw_224.sw_in1k	224	94.860	5.140	99.200	0.800	14.70	0.900	bicubic
756	hgnet_small.paddle_in1k	224	94.860	5.140	99.200	0.800	24.36	0.965	bicubic
757	resnetaa50.a1h_in1k	288	94.860	5.140	99.140	0.860	25.56	1.000	bicubic
758	tresnet_l.miil_in1k	224	94.860	5.140	99.030	0.970	55.99	0.875	bilinear
759	edgenext_small.usi_in1k	320	94.850	5.150	99.410	0.590	5.59	1.000	bicubic
760	swin_tiny_patch4_window7_224.ms_in22k_ft_in1k	224	94.840	5.160	99.280	0.720	28.29	0.900	bicubic
761	resnet50d.ra2_in1k	288	94.840	5.160	99.240	0.760	25.58	0.950	bicubic
762	vit_base_patch16_rpn_224.sw_in1k	224	94.830	5.170	99.090	0.910	86.54	0.900	bicubic
763	mobilenetv4_hybrid_medium.ix_e550_r256_in1k	256	94.820	5.180	99.110	0.890	11.07	0.950	bicubic
764	resnet50d.ra4_e3600_r224_in1k	224	94.820	5.180	99.050	0.950	25.58	0.950	bicubic
765	pit_b_224.in1k	224	94.820	5.180	98.820	1.180	73.76	0.900	bicubic
766	wide_resnet50_2.tv2_in1k	224	94.810	5.190	99.280	0.720	68.88	0.965	bilinear
767	cs3darknet_focus_l.c2ns_in1k	288	94.810	5.190	99.180	0.820	21.15	0.950	bicubic
768	swinv2_cr_tiny_ns_224.sw_in1k	224	94.780	5.220	99.130	0.870	28.33	0.900	bicubic
769	vit_base_patch32_clip_224.laion2b_ft_in1k	224	94.780	5.220	99.050	0.950	88.22	0.900	bicubic
770	seresnet50.ra2_in1k	288	94.770	5.230	99.130	0.870	28.09	0.950	bicubic
771	mobilevitv2_175.cvnets_in22k_ft_in1k	256	94.770	5.230	99.100	0.900	14.25	0.888	bicubic
772	twins_svt_small.in1k	224	94.770	5.230	99.080	0.920	24.06	0.900	bicubic
773	convnext_tiny_hnf.a2h_in1k	224	94.760	5.240	99.170	0.830	28.59	0.950	bicubic
774	gcresnet50t.ra2_in1k	288	94.760	5.240	99.120	0.880	25.90	1.000	bicubic
775	resnetv2_50x1_bit.goog_in21k_ft_in1k	448	94.750	5.250	99.180	0.820	25.55	1.000	bilinear
776	regnetx_080.tv2_in1k	224	94.750	5.250	99.050	0.950	39.57	0.965	bicubic
777	resnet152s.gluon_in1k	224	94.750	5.250	99.050	0.950	60.32	0.875	bicubic
778	lamhalobotnet50ts_256.a1h_in1k	256	94.750	5.250	98.990	1.010	22.57	0.950	bicubic
779	coat_mini.in1k	224	94.750	5.250	98.950	1.050	10.34	0.900	bicubic
780	resnet152.a2_in1k	224	94.750	5.250	98.810	1.190	60.19	0.950	bicubic
781	legacy_senet154.in1k	224	94.740	5.260	99.100	0.900	115.09	0.875	bilinear
782	mobilevitv2_150.cvnets_in22k_ft_in1k	256	94.740	5.260	98.920	1.080	10.59	0.888	bicubic
783	ecaresnet50t.ra2_in1k	256	94.730	5.270	99.080	0.920	25.57	0.875	bicubic
784	repvit_m3.dist_in1k	224	94.730	5.270	99.070	0.930	10.68	0.950	bicubic
785	xcit_tiny_12_p8_224.fb_dist_in1k	224	94.720	5.280	99.170	0.830	6.71	1.000	bicubic
786	resnest50d_4s2x40d.in1k	224	94.720	5.280	99.130	0.870	30.42	0.875	bicubic
787	poolformerv2_s36.sail_in1k	224	94.710	5.290	99.240	0.760	30.79	1.000	bicubic
788	resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k	224	94.710	5.290	99.240	0.760	25.03	0.875	bilinear
789	resnetv2_50.a1h_in1k	288	94.710	5.290	99.110	0.890	25.55	1.000	bicubic
790	deit3_small_patch16_224.fb_in1k	224	94.710	5.290	98.730	1.270	22.06	0.900	bicubic
791	cs3darknet_l.c2ns_in1k	288	94.700	5.300	99.220	0.780	21.16	0.950	bicubic
792	pit_s_distilled_224.in1k	224	94.700	5.300	99.130	0.870	24.04	0.900	bicubic
793	regnetz_b16.ra3_in1k	288	94.700	5.300	99.120	0.880	9.72	1.000	bicubic
794	fastvit_sa12.apple_dist_in1k	256	94.700	5.300	99.070	0.930	11.58	0.900	bicubic
795	halonet50ts.a1h_in1k	256	94.700	5.300	98.840	1.160	22.73	0.940	bicubic
796	swin_tiny_patch4_window7_224.ms_in1k	224	94.690	5.310	99.100	0.900	28.29	0.900	bicubic
797	dm_nfnet_f0.dm_in1k	192	94.690	5.310	99.070	0.930	71.49	0.900	bicubic
798	senet154.gluon_in1k	224	94.690	5.310	98.970	1.030	115.09	0.875	bicubic
799	resnet152.a1_in1k	224	94.690	5.310	98.790	1.210	60.19	0.950	bicubic
800	ecaresnet50d.miil_in1k	288	94.680	5.320	99.230	0.770	25.58	0.950	bicubic
801	tresnet_m.miil_in1k_448	448	94.680	5.320	99.140	0.860	31.39	0.875	bilinear
802	crossvit_15_240.in1k	240	94.680	5.320	99.100	0.900	27.53	0.875	bicubic
803	vit_relpos_small_patch16_224.sw_in1k	224	94.680	5.320	99.100	0.900	21.98	0.900	bicubic
804	efficientnet_el.ra_in1k	300	94.670	5.330	99.130	0.870	10.59	0.904	bicubic
805	rexnet_200.nav_in1k	224	94.670	5.330	99.090	0.910	16.37	0.875	bicubic
806	efficientnetv2_rw_t.ra2_in1k	224	94.660	5.340	99.100	0.900	13.65	1.000	bicubic
807	wide_resnet50_2.racm_in1k	224	94.660	5.340	99.060	0.940	68.88	0.875	bicubic
808	seresnext101_64x4d.gluon_in1k	224	94.660	5.340	98.980	1.020	88.23	0.875	bicubic
809	vit_small_patch16_384.augreg_in1k	384	94.650	5.350	99.140	0.860	22.20	1.000	bicubic
810	tiny_vit_5m_224.dist_in22k_ft_in1k	224	94.630	5.370	99.140	0.860	5.39	0.950	bicubic
811	poolformer_s36.sail_in1k	224	94.630	5.370	99.060	0.940	30.86	0.900	bicubic
812	resnest50d.in1k	224	94.630	5.370	99.030	0.970	27.48	0.875	bilinear
813	resnet50_gn.a1h_in1k	288	94.620	5.380	99.150	0.850	25.56	0.950	bicubic
814	efficientnet_b3_pruned.in1k	300	94.620	5.380	99.040	0.960	9.86	0.904	bicubic
815	twins_pcpvt_small.in1k	224	94.610	5.390	99.140	0.860	24.11	0.900	bicubic
816	gcresnet50t.ra2_in1k	256	94.610	5.390	98.990	1.010	25.90	0.900	bicubic
817	repvgg_b3.rvgg_in1k	224	94.610	5.390	98.920	1.080	123.09	0.875	bilinear
818	fbnetv3_g.ra2_in1k	240	94.600	5.400	99.100	0.900	16.62	0.950	bilinear
819	pit_s_224.in1k	224	94.600	5.400	98.930	1.070	23.46	0.900	bicubic
820	crossvit_small_240.in1k	240	94.590	5.410	99.110	0.890	26.86	0.875	bicubic
821	resnet50.tv2_in1k	224	94.590	5.410	99.070	0.930	25.56	0.965	bilinear
822	convnext_nano_ols.d1h_in1k	288	94.590	5.410	99.040	0.960	15.65	1.000	bicubic
823	vit_srelpos_small_patch16_224.sw_in1k	224	94.580	5.420	99.140	0.860	21.97	0.900	bicubic
824	deit_small_distilled_patch16_224.fb_in1k	224	94.580	5.420	99.090	0.910	22.44	0.900	bicubic
825	ecaresnet50t.a2_in1k	288	94.580	5.420	99.050	0.950	25.57	1.000	bicubic
826	tnt_s_patch16_224	224	94.570	5.430	99.180	0.820	23.76	0.900	bicubic
827	resmlp_36_224.fb_distilled_in1k	224	94.570	5.430	99.170	0.830	44.69	0.875	bicubic
828	convnextv2_pico.fcmae_ft_in1k	288	94.570	5.430	99.150	0.850	9.07	0.950	bicubic
829	vit_small_patch32_384.augreg_in21k_ft_in1k	384	94.570	5.430	99.140	0.860	22.92	1.000	bicubic
830	mobilenet_edgetpu_v2_m	256	94.560	5.440	99.010	0.990	8.46	0.950	bicubic
831	mobilevitv2_200.cvnets_in1k	256	94.560	5.440	98.980	1.020	18.45	0.888	bicubic
832	gernet_m.idstcv_in1k	224	94.560	5.440	98.910	1.090	21.14	0.875	bilinear
833	regnetx_032.tv2_in1k	224	94.560	5.440	98.890	1.110	15.30	0.965	bicubic
834	resnext50_32x4d.a1h_in1k	224	94.560	5.440	98.820	1.180	25.03	0.950	bicubic
835	lambda_resnet50ts.a1h_in1k	256	94.560	5.440	98.690	1.310	21.54	0.950	bicubic
836	ecaresnetlight.miil_in1k	288	94.550	5.450	99.190	0.810	30.16	0.950	bicubic
837	xcit_tiny_12_p16_384.fb_dist_in1k	384	94.550	5.450	99.170	0.830	6.72	1.000	bicubic
838	repvit_m1_1.dist_450e_in1k	224	94.550	5.450	99.080	0.920	8.80	0.950	bicubic
839	mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k	256	94.550	5.450	99.010	0.990	8.46	0.950	bicubic
840	res2net101d.in1k	224	94.550	5.450	98.990	1.010	45.23	0.875	bilinear
841	resnet101.a2_in1k	224	94.550	5.450	98.900	1.100	44.55	0.950	bicubic
842	gc_efficientnetv2_rw_t.agc_in1k	224	94.540	5.460	99.060	0.940	13.68	1.000	bicubic
843	haloregnetz_b.ra3_in1k	224	94.520	5.480	98.960	1.040	11.68	0.940	bicubic
844	sehalonet33ts.ra2_in1k	256	94.520	5.480	98.780	1.220	13.69	0.940	bicubic
845	resnet50.c1_in1k	288	94.510	5.490	99.070	0.930	25.56	1.000	bicubic
846	regnety_320.pycls_in1k	224	94.500	5.500	99.170	0.830	145.05	0.875	bicubic
847	ese_vovnet39b.ra_in1k	288	94.500	5.500	99.090	0.910	24.57	0.950	bicubic
848	seresnext101_32x4d.gluon_in1k	224	94.500	5.500	99.090	0.910	48.96	0.875	bicubic
849	repvgg_b3g4.rvgg_in1k	224	94.500	5.500	99.020	0.980	83.83	0.875	bilinear
850	gcresnext50ts.ch_in1k	288	94.500	5.500	99.000	1.000	15.67	1.000	bicubic
851	resnext50_32x4d.tv2_in1k	224	94.490	5.510	99.020	0.980	25.03	0.965	bilinear
852	resnet50.b1k_in1k	288	94.490	5.510	98.990	1.010	25.56	1.000	bicubic
853	resnet50d.a2_in1k	288	94.480	5.520	98.910	1.090	25.58	1.000	bicubic
854	resnet101.a1_in1k	224	94.480	5.520	98.760	1.240	44.55	0.950	bicubic
855	vit_base_patch16_384.augreg_in1k	384	94.470	5.530	99.020	0.980	86.86	1.000	bicubic
856	resnet50.d_in1k	288	94.470	5.530	98.990	1.010	25.56	1.000	bicubic
857	vit_wee_patch16_reg1_gap_256.sbb_in1k	256	94.460	5.540	99.130	0.870	13.42	0.950	bicubic
858	eva02_tiny_patch14_336.mim_in22k_ft_in1k	336	94.460	5.540	99.090	0.910	5.76	1.000	bicubic
859	fastvit_sa12.apple_in1k	256	94.460	5.540	99.080	0.920	11.58	0.900	bicubic
860	repvit_m2.dist_in1k	224	94.460	5.540	99.070	0.930	8.80	0.950	bicubic
861	resnetaa50.a1h_in1k	224	94.460	5.540	98.900	1.100	25.56	0.950	bicubic
862	resnet152.a3_in1k	224	94.460	5.540	98.880	1.120	60.19	0.950	bicubic
863	regnety_016.tv2_in1k	224	94.450	5.550	99.030	0.970	11.20	0.965	bicubic
864	poolformerv2_s24.sail_in1k	224	94.450	5.550	99.010	0.990	21.34	1.000	bicubic
865	resnet152d.gluon_in1k	224	94.450	5.550	98.980	1.020	60.21	0.875	bicubic
866	seresnet50.a2_in1k	288	94.450	5.550	98.910	1.090	28.09	1.000	bicubic
867	efficientnet_b1.ra4_e3600_r240_in1k	288	94.440	5.560	99.230	0.770	7.79	1.000	bicubic
868	vit_base_patch32_clip_224.openai_ft_in1k	224	94.440	5.560	99.180	0.820	88.22	0.900	bicubic
869	ecaresnet101d_pruned.miil_in1k	224	94.440	5.560	99.090	0.910	24.88	0.875	bicubic
870	resnext50d_32x4d.bt_in1k	288	94.440	5.560	99.040	0.960	25.05	0.950	bicubic
871	poolformer_s24.sail_in1k	224	94.430	5.570	99.060	0.940	21.39	0.900	bicubic
872	levit_256.fb_dist_in1k	224	94.420	5.580	99.060	0.940	18.89	0.900	bicubic
873	gcresnext50ts.ch_in1k	256	94.420	5.580	98.980	1.020	15.67	0.900	bicubic
874	resnetv2_50d_gn.ah_in1k	224	94.420	5.580	98.880	1.120	25.57	0.950	bicubic
875	convmixer_768_32.in1k	224	94.410	5.590	99.110	0.890	21.11	0.960	bicubic
876	levit_conv_256.fb_dist_in1k	224	94.410	5.590	99.060	0.940	18.89	0.900	bicubic
877	edgenext_small.usi_in1k	256	94.400	5.600	99.180	0.820	5.59	0.950	bicubic
878	mobilenetv4_conv_large.e500_r256_in1k	256	94.400	5.600	99.120	0.880	32.59	0.950	bicubic
879	vit_base_patch32_224.augreg_in21k_ft_in1k	224	94.400	5.600	99.060	0.940	88.22	0.900	bicubic
880	resnetrs101.tf_in1k	192	94.400	5.600	98.920	1.080	63.62	0.940	bicubic
881	vit_pwee_patch16_reg1_gap_256.sbb_in1k	256	94.390	5.610	99.040	0.960	15.25	0.950	bicubic
882	resnext50_32x4d.a1_in1k	288	94.390	5.610	98.770	1.230	25.03	1.000	bicubic
883	resnest50d_1s4x24d.in1k	224	94.380	5.620	99.030	0.970	25.68	0.875	bicubic
884	tf_efficientnet_el.in1k	300	94.370	5.630	99.090	0.910	10.59	0.904	bicubic
885	darknet53.c2ns_in1k	288	94.370	5.630	99.060	0.940	41.61	1.000	bicubic
886	nf_resnet50.ra2_in1k	288	94.370	5.630	99.060	0.940	25.56	0.940	bicubic
887	efficientnet_b2.ra_in1k	288	94.370	5.630	99.050	0.950	9.11	1.000	bicubic
888	edgenext_small_rw.sw_in1k	320	94.370	5.630	99.040	0.960	7.83	1.000	bicubic
889	inception_v4.tf_in1k	299	94.370	5.630	98.830	1.170	42.68	0.875	bicubic
890	mobilenetv4_conv_medium.e500_r256_in1k	320	94.360	5.640	99.160	0.840	9.72	1.000	bicubic
891	resnet50d.a1_in1k	288	94.360	5.640	98.790	1.210	25.58	1.000	bicubic
892	resmlp_24_224.fb_distilled_in1k	224	94.350	5.650	99.090	0.910	30.02	0.875	bicubic
893	xcit_tiny_12_p8_224.fb_in1k	224	94.350	5.650	99.050	0.950	6.71	1.000	bicubic
894	gcresnet33ts.ra2_in1k	288	94.350	5.650	98.960	1.040	19.88	1.000	bicubic
895	resnext101_64x4d.gluon_in1k	224	94.350	5.650	98.910	1.090	83.46	0.875	bicubic
896	inception_resnet_v2.tf_in1k	299	94.340	5.660	98.800	1.200	55.84	0.897	bicubic
897	sebotnet33ts_256.a1h_in1k	256	94.340	5.660	98.540	1.460	13.70	0.940	bicubic
898	resnet50.fb_ssl_yfcc100m_ft_in1k	224	94.330	5.670	99.140	0.860	25.56	0.875	bilinear
899	resnext50_32x4d.ra_in1k	288	94.310	5.690	99.040	0.960	25.03	0.950	bicubic
900	convnext_nano.d1h_in1k	224	94.310	5.690	98.960	1.040	15.59	0.950	bicubic
901	resnetv2_50.a1h_in1k	224	94.310	5.690	98.930	1.070	25.55	0.950	bicubic
902	resnet50.a1_in1k	288	94.310	5.690	98.920	1.080	25.56	1.000	bicubic
903	ecaresnet50d_pruned.miil_in1k	288	94.300	5.700	99.200	0.800	19.94	0.950	bicubic
904	regnetx_120.pycls_in1k	224	94.300	5.700	99.200	0.800	46.11	0.875	bicubic
905	hgnet_tiny.paddle_in1k	288	94.300	5.700	99.160	0.840	14.74	1.000	bicubic
906	resnet50.b2k_in1k	288	94.300	5.700	98.910	1.090	25.56	1.000	bicubic
907	mobilevitv2_175.cvnets_in1k	256	94.300	5.700	98.900	1.100	14.25	0.888	bicubic
908	rexnet_150.nav_in1k	224	94.290	5.710	99.090	0.910	9.73	0.875	bicubic
909	resnetv2_50d_evos.ah_in1k	224	94.290	5.710	98.980	1.020	25.59	0.950	bicubic
910	tf_efficientnet_b3.in1k	300	94.280	5.720	99.120	0.880	12.23	0.904	bicubic
911	cs3darknet_l.c2ns_in1k	256	94.280	5.720	99.110	0.890	21.16	0.887	bicubic
912	repvit_m1_0.dist_450e_in1k	224	94.280	5.720	99.030	0.970	7.30	0.950	bicubic
913	fastvit_s12.apple_dist_in1k	256	94.280	5.720	98.990	1.010	9.47	0.900	bicubic
914	resnet50.c2_in1k	288	94.270	5.730	99.040	0.960	25.56	1.000	bicubic
915	tf_efficientnet_b2.ap_in1k	260	94.270	5.730	98.960	1.040	9.11	0.890	bicubic
916	res2net50d.in1k	224	94.270	5.730	98.880	1.120	25.72	0.875	bilinear
917	resmlp_big_24_224.fb_in1k	224	94.270	5.730	98.820	1.180	129.14	0.875	bicubic
918	eca_resnet33ts.ra2_in1k	288	94.260	5.740	99.040	0.960	19.68	1.000	bicubic
919	seresnet33ts.ra2_in1k	288	94.260	5.740	99.010	0.990	19.78	1.000	bicubic
920	maxvit_rmlp_pico_rw_256.sw_in1k	256	94.260	5.740	99.000	1.000	7.52	0.950	bicubic
921	ecaresnet50t.a2_in1k	224	94.260	5.740	98.950	1.050	25.57	0.950	bicubic
922	cs3darknet_focus_l.c2ns_in1k	256	94.250	5.750	99.070	0.930	21.15	0.887	bicubic
923	cspresnext50.ra_in1k	256	94.250	5.750	99.040	0.960	20.57	0.887	bilinear
924	legacy_seresnext101_32x4d.in1k	224	94.250	5.750	98.970	1.030	48.96	0.875	bilinear
925	xcit_tiny_24_p16_224.fb_dist_in1k	224	94.250	5.750	98.950	1.050	12.12	1.000	bicubic
926	darknetaa53.c2ns_in1k	288	94.250	5.750	98.940	1.060	36.02	1.000	bilinear
927	mixnet_xl.ra_in1k	224	94.250	5.750	98.840	1.160	11.90	0.875	bicubic
928	seresnet33ts.ra2_in1k	256	94.250	5.750	98.770	1.230	19.78	0.900	bicubic
929	ecaresnet50d.miil_in1k	224	94.230	5.770	98.990	1.010	25.58	0.875	bicubic
930	tf_efficientnetv2_b3.in1k	240	94.230	5.770	98.860	1.140	14.36	0.904	bicubic
931	efficientnet_b1.ra4_e3600_r240_in1k	240	94.220	5.780	99.090	0.910	7.79	0.900	bicubic
932	regnetx_320.pycls_in1k	224	94.210	5.790	99.050	0.950	107.81	0.875	bicubic
933	tf_efficientnet_b2.aa_in1k	260	94.210	5.790	99.020	0.980	9.11	0.890	bicubic
934	resnet50.a1h_in1k	224	94.210	5.790	98.910	1.090	25.56	1.000	bicubic
935	seresnet50.a1_in1k	288	94.210	5.790	98.840	1.160	28.09	1.000	bicubic
936	resnet101s.gluon_in1k	224	94.200	5.800	99.020	0.980	44.67	0.875	bicubic
937	ecaresnet50t.a1_in1k	224	94.200	5.800	98.840	1.160	25.57	0.950	bicubic
938	mobilenetv4_hybrid_medium.e500_r224_in1k	224	94.200	5.800	98.840	1.160	11.07	0.950	bicubic
939	repvit_m1_1.dist_300e_in1k	224	94.190	5.810	99.090	0.910	8.80	0.950	bicubic
940	resnext50_32x4d.a2_in1k	288	94.190	5.810	98.740	1.260	25.03	1.000	bicubic
941	hgnetv2_b1.ssld_stage2_ft_in1k	288	94.180	5.820	99.030	0.970	6.34	1.000	bicubic
942	resnet101d.gluon_in1k	224	94.180	5.820	98.970	1.030	44.57	0.875	bicubic
943	resnet50_gn.a1h_in1k	224	94.180	5.820	98.920	1.080	25.56	0.940	bicubic
944	resnetblur50.bt_in1k	288	94.170	5.830	99.010	0.990	25.56	0.950	bicubic
945	efficientvit_b1.r288_in1k	288	94.170	5.830	98.940	1.060	9.10	1.000	bicubic
946	seresnext50_32x4d.gluon_in1k	224	94.170	5.830	98.920	1.080	27.56	0.875	bicubic
947	mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k	224	94.170	5.830	98.870	1.130	8.46	0.900	bicubic
948	resnet50.ra_in1k	288	94.170	5.830	98.860	1.140	25.56	0.950	bicubic
949	mobilenet_edgetpu_v2_m	224	94.170	5.830	98.850	1.150	8.46	0.900	bicubic
950	tf_efficientnet_lite3.in1k	300	94.160	5.840	98.960	1.040	8.20	0.904	bilinear
951	regnetz_b16.ra3_in1k	224	94.150	5.850	99.000	1.000	9.72	0.940	bicubic
952	ecaresnetlight.miil_in1k	224	94.150	5.850	98.950	1.050	30.16	0.875	bicubic
953	dpn92.mx_in1k	224	94.150	5.850	98.940	1.060	37.67	0.875	bicubic
954	convnext_nano_ols.d1h_in1k	224	94.150	5.850	98.830	1.170	15.65	0.950	bicubic
955	cspdarknet53.ra_in1k	256	94.140	5.860	98.990	1.010	27.64	0.887	bilinear
956	nf_resnet50.ra2_in1k	256	94.140	5.860	98.950	1.050	25.56	0.940	bicubic
957	wide_resnet101_2.tv2_in1k	176	94.140	5.860	98.850	1.150	126.89	0.875	bilinear
958	mobilenetv4_conv_blur_medium.e500_r224_in1k	256	94.130	5.870	99.150	0.850	9.72	1.000	bicubic
959	regnety_160.pycls_in1k	224	94.130	5.870	99.000	1.000	83.59	0.875	bicubic
960	resnet50.a2_in1k	288	94.130	5.870	98.860	1.140	25.56	1.000	bicubic
961	inception_resnet_v2.tf_ens_adv_in1k	299	94.130	5.870	98.780	1.220	55.84	0.897	bicubic
962	hgnetv2_b1.ssld_stage1_in22k_in1k	288	94.120	5.880	99.060	0.940	6.34	1.000	bicubic
963	regnety_064.pycls_in1k	224	94.120	5.880	99.030	0.970	30.58	0.875	bicubic
964	seresnet50.ra2_in1k	224	94.120	5.880	98.960	1.040	28.09	0.875	bicubic
965	resnext101_32x4d.gluon_in1k	224	94.120	5.880	98.910	1.090	44.18	0.875	bicubic
966	fastvit_t12.apple_dist_in1k	256	94.100	5.900	99.030	0.970	7.55	0.900	bicubic
967	convnextv2_pico.fcmae_ft_in1k	224	94.100	5.900	99.020	0.980	9.07	0.875	bicubic
968	tresnet_m.miil_in1k	224	94.100	5.900	98.830	1.170	31.39	0.875	bilinear
969	gcvit_xxtiny.in1k	224	94.090	5.910	99.090	0.910	12.00	0.875	bicubic
970	efficientnet_b2.ra_in1k	256	94.090	5.910	99.010	0.990	9.11	0.875	bicubic
971	mobilenetv4_conv_medium.e500_r224_in1k	256	94.090	5.910	98.980	1.020	9.72	1.000	bicubic
972	mobilevitv2_150.cvnets_in1k	256	94.080	5.920	98.910	1.090	10.59	0.888	bicubic
973	regnety_120.pycls_in1k	224	94.070	5.930	99.020	0.980	51.82	0.875	bicubic
974	efficientnet_el_pruned.in1k	300	94.070	5.930	99.010	0.990	10.59	0.904	bicubic
975	darknet53.c2ns_in1k	256	94.070	5.930	98.980	1.020	41.61	0.887	bicubic
976	tf_efficientnetv2_b2.in1k	260	94.070	5.930	98.930	1.070	10.10	0.890	bicubic
977	convnext_pico_ols.d1_in1k	288	94.060	5.940	98.930	1.070	9.06	1.000	bicubic
978	resnet50d.ra2_in1k	224	94.060	5.940	98.920	1.080	25.58	0.875	bicubic
979	hrnet_w48.ms_in1k	224	94.040	5.960	99.020	0.980	77.47	0.875	bilinear
980	resnet152.gluon_in1k	224	94.040	5.960	98.730	1.270	60.19	0.875	bicubic
981	dla102x2.in1k	224	94.030	5.970	99.010	0.990	41.28	0.875	bilinear
982	resnetrs50.tf_in1k	224	94.030	5.970	98.830	1.170	35.69	0.910	bicubic
983	wide_resnet50_2.tv2_in1k	176	94.020	5.980	99.100	0.900	68.88	0.875	bilinear
984	convnext_pico.d1_in1k	288	94.020	5.980	99.010	0.990	9.05	0.950	bicubic
985	regnetx_016.tv2_in1k	224	94.020	5.980	98.920	1.080	9.19	0.965	bicubic
986	resnet152.tv2_in1k	176	94.020	5.980	98.710	1.290	60.19	0.875	bilinear
987	resnet50.bt_in1k	288	94.010	5.990	98.890	1.110	25.56	0.950	bicubic
988	dpn107.mx_in1k	224	94.010	5.990	98.820	1.180	86.92	0.875	bicubic
989	deit_small_patch16_224.fb_in1k	224	94.000	6.000	98.950	1.050	22.05	0.900	bicubic
990	resnet50.ram_in1k	288	94.000	6.000	98.880	1.120	25.56	0.950	bicubic
991	resnet50d.a2_in1k	224	94.000	6.000	98.680	1.320	25.58	0.950	bicubic
992	efficientformer_l1.snap_dist_in1k	224	93.990	6.010	99.060	0.940	12.29	0.950	bicubic
993	skresnext50_32x4d.ra_in1k	224	93.980	6.020	98.820	1.180	27.48	0.875	bicubic
994	ecaresnet26t.ra2_in1k	320	93.960	6.040	98.950	1.050	16.01	0.950	bicubic
995	dpn98.mx_in1k	224	93.960	6.040	98.920	1.080	61.57	0.875	bicubic
996	resnet50.c1_in1k	224	93.960	6.040	98.840	1.160	25.56	0.950	bicubic
997	resnet50.a1_in1k	224	93.960	6.040	98.520	1.480	25.56	0.950	bicubic
998	resnet33ts.ra2_in1k	288	93.950	6.050	98.870	1.130	19.68	1.000	bicubic
999	cait_xxs36_224.fb_dist_in1k	224	93.940	6.060	98.890	1.110	17.30	1.000	bicubic
1000	resnet50d.a1_in1k	224	93.940	6.060	98.630	1.370	25.58	0.950	bicubic
1001	resnet101.tv2_in1k	176	93.930	6.070	98.750	1.250	44.55	0.875	bilinear
1002	regnetx_160.pycls_in1k	224	93.920	6.080	99.080	0.920	54.28	0.875	bicubic
1003	xception71.tf_in1k	299	93.920	6.080	98.920	1.080	42.34	0.903	bicubic
1004	cspresnet50.ra_in1k	256	93.910	6.090	98.850	1.150	21.62	0.887	bilinear
1005	nf_regnet_b1.ra2_in1k	288	93.910	6.090	98.780	1.220	10.22	0.900	bicubic
1006	regnety_080.pycls_in1k	224	93.900	6.100	98.990	1.010	39.18	0.875	bicubic
1007	resnet50.c2_in1k	224	93.900	6.100	98.790	1.210	25.56	0.950	bicubic
1008	vit_base_patch16_224.sam_in1k	224	93.890	6.110	98.890	1.110	86.57	0.900	bicubic
1009	resnet152c.gluon_in1k	224	93.890	6.110	98.800	1.200	60.21	0.875	bicubic
1010	eca_resnet33ts.ra2_in1k	256	93.880	6.120	98.890	1.110	19.68	0.900	bicubic
1011	hgnet_tiny.paddle_in1k	224	93.870	6.130	99.000	1.000	14.74	0.965	bicubic
1012	gcresnet33ts.ra2_in1k	256	93.870	6.130	98.930	1.070	19.88	0.900	bicubic
1013	resnet101.a3_in1k	224	93.870	6.130	98.760	1.240	44.55	0.950	bicubic
1014	mobilenetv4_conv_blur_medium.e500_r224_in1k	224	93.860	6.140	99.110	0.890	9.72	0.950	bicubic
1015	ecaresnet50t.a3_in1k	224	93.860	6.140	98.860	1.140	25.57	0.950	bicubic
1016	ecaresnet50d_pruned.miil_in1k	224	93.850	6.150	98.960	1.040	19.94	0.875	bicubic
1017	repvgg_b2g4.rvgg_in1k	224	93.850	6.150	98.930	1.070	61.76	0.875	bilinear
1018	ese_vovnet39b.ra_in1k	224	93.850	6.150	98.900	1.100	24.57	0.875	bicubic
1019	mobilenetv4_conv_medium.e500_r256_in1k	256	93.850	6.150	98.870	1.130	9.72	0.950	bicubic
1020	xcit_tiny_24_p16_224.fb_in1k	224	93.850	6.150	98.750	1.250	12.12	1.000	bicubic
1021	hgnetv2_b0.ssld_stage2_ft_in1k	288	93.840	6.160	99.030	0.970	6.00	1.000	bicubic
1022	hrnet_w64.ms_in1k	224	93.840	6.160	98.920	1.080	128.06	0.875	bilinear
1023	resnext50_32x4d.ra_in1k	224	93.840	6.160	98.820	1.180	25.03	0.875	bicubic
1024	resnext50d_32x4d.bt_in1k	224	93.840	6.160	98.730	1.270	25.05	0.875	bicubic
1025	edgenext_small_rw.sw_in1k	256	93.830	6.170	98.720	1.280	7.83	0.900	bicubic
1026	fbnetv3_d.ra2_in1k	256	93.820	6.180	98.900	1.100	10.31	0.950	bilinear
1027	resnet101.gluon_in1k	224	93.820	6.180	98.710	1.290	44.55	0.875	bicubic
1028	efficientnet_b2_pruned.in1k	260	93.810	6.190	98.910	1.090	8.31	0.890	bicubic
1029	tiny_vit_5m_224.in1k	224	93.800	6.200	98.940	1.060	5.39	0.950	bicubic
1030	xception65.tf_in1k	299	93.800	6.200	98.910	1.090	39.92	0.903	bicubic
1031	resnet50.b2k_in1k	224	93.800	6.200	98.680	1.320	25.56	0.950	bicubic
1032	resnet50.d_in1k	224	93.800	6.200	98.630	1.370	25.56	0.950	bicubic
1033	resnext50_32x4d.a1_in1k	224	93.800	6.200	98.440	1.560	25.03	0.950	bicubic
1034	darknetaa53.c2ns_in1k	256	93.790	6.210	98.940	1.060	36.02	0.887	bilinear
1035	regnetx_080.pycls_in1k	224	93.790	6.210	98.910	1.090	39.57	0.875	bicubic
1036	dpn131.mx_in1k	224	93.790	6.210	98.860	1.140	79.25	0.875	bicubic
1037	resnext101_32x8d.tv_in1k	224	93.780	6.220	98.950	1.050	88.79	0.875	bilinear
1038	dla169.in1k	224	93.780	6.220	98.860	1.140	53.39	0.875	bilinear
1039	tf_efficientnet_b0.ns_jft_in1k	224	93.770	6.230	98.970	1.030	5.29	0.875	bicubic
1040	repvit_m1_0.dist_300e_in1k	224	93.770	6.230	98.920	1.080	7.30	0.950	bicubic
1041	wide_resnet101_2.tv_in1k	224	93.770	6.230	98.830	1.170	126.89	0.875	bilinear
1042	resnext50_32x4d.a2_in1k	224	93.770	6.230	98.670	1.330	25.03	0.950	bicubic
1043	convnextv2_femto.fcmae_ft_in1k	288	93.760	6.240	98.950	1.050	5.23	0.950	bicubic
1044	efficientnet_em.ra2_in1k	240	93.760	6.240	98.910	1.090	6.90	0.882	bicubic
1045	dpn68b.ra_in1k	288	93.760	6.240	98.520	1.480	12.61	1.000	bicubic
1046	hrnet_w40.ms_in1k	224	93.750	6.250	98.830	1.170	57.56	0.875	bilinear
1047	resnet50.tv2_in1k	176	93.750	6.250	98.750	1.250	25.56	0.875	bilinear
1048	tf_efficientnet_b2.in1k	260	93.740	6.260	98.940	1.060	9.11	0.890	bicubic
1049	tf_efficientnet_b1.aa_in1k	240	93.740	6.260	98.800	1.200	7.79	0.882	bicubic
1050	mobileone_s4.apple_in1k	224	93.740	6.260	98.670	1.330	14.95	0.900	bilinear
1051	tf_efficientnetv2_b1.in1k	240	93.730	6.270	98.850	1.150	8.14	0.882	bicubic
1052	resnet101c.gluon_in1k	224	93.730	6.270	98.760	1.240	44.57	0.875	bicubic
1053	resnet50.a2_in1k	224	93.730	6.270	98.720	1.280	25.56	0.950	bicubic
1054	convnext_pico_ols.d1_in1k	224	93.720	6.280	98.860	1.140	9.06	0.950	bicubic
1055	resnetblur50.bt_in1k	224	93.710	6.290	98.800	1.200	25.56	0.875	bicubic
1056	levit_192.fb_dist_in1k	224	93.710	6.290	98.780	1.220	10.95	0.900	bicubic
1057	levit_conv_192.fb_dist_in1k	224	93.710	6.290	98.780	1.220	10.95	0.900	bicubic
1058	fastvit_s12.apple_in1k	256	93.710	6.290	98.720	1.280	9.47	0.900	bicubic
1059	resnet50.b1k_in1k	224	93.700	6.300	98.800	1.200	25.56	0.950	bicubic
1060	resnext50_32x4d.gluon_in1k	224	93.700	6.300	98.670	1.330	25.03	0.875	bicubic
1061	regnetx_040.pycls_in1k	224	93.690	6.310	98.950	1.050	22.12	0.875	bicubic
1062	seresnet50.a2_in1k	224	93.690	6.310	98.650	1.350	28.09	0.950	bicubic
1063	resmlp_36_224.fb_in1k	224	93.670	6.330	98.920	1.080	44.69	0.875	bicubic
1064	mobilenetv4_conv_medium.e500_r224_in1k	224	93.670	6.330	98.800	1.200	9.72	0.950	bicubic
1065	rexnet_130.nav_in1k	224	93.670	6.330	98.700	1.300	7.56	0.875	bicubic
1066	regnetx_064.pycls_in1k	224	93.660	6.340	99.050	0.950	26.21	0.875	bicubic
1067	efficientvit_b1.r256_in1k	256	93.660	6.340	98.830	1.170	9.10	1.000	bicubic
1068	legacy_xception.tf_in1k	299	93.660	6.340	98.760	1.240	22.86	0.897	bicubic
1069	hrnet_w44.ms_in1k	224	93.650	6.350	98.960	1.040	67.06	0.875	bilinear
1070	fbnetv3_b.ra2_in1k	256	93.650	6.350	98.900	1.100	8.60	0.950	bilinear
1071	tf_efficientnet_b1.ap_in1k	240	93.640	6.360	98.780	1.220	7.79	0.882	bicubic
1072	resnet33ts.ra2_in1k	256	93.640	6.360	98.760	1.240	19.68	0.900	bicubic
1073	resnet34d.ra2_in1k	288	93.640	6.360	98.750	1.250	21.82	0.950	bicubic
1074	regnety_040.pycls_in1k	224	93.630	6.370	98.960	1.040	20.65	0.875	bicubic
1075	resnet50.am_in1k	224	93.630	6.370	98.860	1.140	25.56	0.875	bicubic
1076	efficientformerv2_s1.snap_dist_in1k	224	93.620	6.380	98.960	1.040	6.19	0.950	bicubic
1077	hgnetv2_b1.ssld_stage1_in22k_in1k	224	93.620	6.380	98.770	1.230	6.34	0.965	bicubic
1078	hgnetv2_b1.ssld_stage2_ft_in1k	224	93.620	6.380	98.750	1.250	6.34	0.965	bicubic
1079	dla60_res2next.in1k	224	93.610	6.390	98.810	1.190	17.03	0.875	bilinear
1080	tf_efficientnetv2_b2.in1k	208	93.610	6.390	98.690	1.310	10.10	0.890	bicubic
1081	halonet26t.a1h_in1k	256	93.610	6.390	98.640	1.360	12.48	0.950	bicubic
1082	inception_v3.gluon_in1k	299	93.600	6.400	98.860	1.140	23.83	0.875	bicubic
1083	resnet32ts.ra2_in1k	288	93.600	6.400	98.740	1.260	17.96	1.000	bicubic
1084	hgnetv2_b0.ssld_stage1_in22k_in1k	288	93.590	6.410	98.980	1.020	6.00	1.000	bicubic
1085	tf_efficientnet_cc_b1_8e.in1k	240	93.590	6.410	98.710	1.290	39.72	0.882	bicubic
1086	resnet50s.gluon_in1k	224	93.580	6.420	98.850	1.150	25.68	0.875	bicubic
1087	res2net50_26w_6s.in1k	224	93.580	6.420	98.760	1.240	37.05	0.875	bilinear
1088	resnet32ts.ra2_in1k	256	93.580	6.420	98.730	1.270	17.96	0.900	bicubic
1089	repvgg_b2.rvgg_in1k	224	93.570	6.430	99.070	0.930	89.02	0.875	bilinear
1090	dla102x.in1k	224	93.570	6.430	98.860	1.140	26.31	0.875	bilinear
1091	resnet50d.gluon_in1k	224	93.570	6.430	98.710	1.290	25.58	0.875	bicubic
1092	eca_halonext26ts.c1_in1k	256	93.560	6.440	98.690	1.310	10.76	0.940	bicubic
1093	resnext50_32x4d.a3_in1k	224	93.550	6.450	98.770	1.230	25.03	0.950	bicubic
1094	convnext_tiny.fb_in22k_ft_in1k	288	93.550	6.450	98.620	1.380	28.59	1.000	bicubic
1095	seresnet50.a1_in1k	224	93.550	6.450	98.570	1.430	28.09	0.950	bicubic
1096	gmlp_s16_224.ra3_in1k	224	93.540	6.460	98.780	1.220	19.42	0.875	bicubic
1097	repghostnet_200.in1k	224	93.540	6.460	98.600	1.400	9.80	0.875	bicubic
1098	res2net101_26w_4s.in1k	224	93.530	6.470	98.620	1.380	45.21	0.875	bilinear
1099	coat_lite_mini.in1k	224	93.520	6.480	98.800	1.200	11.01	0.900	bicubic
1100	resnet50.ram_in1k	224	93.520	6.480	98.600	1.400	25.56	0.875	bicubic
1101	pvt_v2_b1.in1k	224	93.510	6.490	98.880	1.120	14.01	0.900	bicubic
1102	vit_tiny_patch16_384.augreg_in21k_ft_in1k	384	93.500	6.500	98.840	1.160	5.79	1.000	bicubic
1103	efficientnet_b0.ra4_e3600_r224_in1k	256	93.500	6.500	98.830	1.170	5.29	1.000	bicubic
1104	cait_xxs24_224.fb_dist_in1k	224	93.500	6.500	98.770	1.230	11.96	1.000	bicubic
1105	coat_tiny.in1k	224	93.500	6.500	98.680	1.320	5.50	0.900	bicubic
1106	fastvit_t12.apple_in1k	256	93.500	6.500	98.670	1.330	7.55	0.900	bicubic
1107	regnety_032.pycls_in1k	224	93.490	6.510	98.960	1.040	19.44	0.875	bicubic
1108	convnext_pico.d1_in1k	224	93.480	6.520	98.840	1.160	9.05	0.875	bicubic
1109	mobilevitv2_125.cvnets_in1k	256	93.480	6.520	98.840	1.160	7.48	0.888	bicubic
1110	selecsls60b.in1k	224	93.480	6.520	98.840	1.160	32.77	0.875	bicubic
1111	xception41.tf_in1k	299	93.480	6.520	98.740	1.260	26.97	0.903	bicubic
1112	hrnet_w18.ms_aug_in1k	224	93.470	6.530	99.000	1.000	21.30	0.950	bilinear
1113	wide_resnet50_2.tv_in1k	224	93.470	6.530	98.970	1.030	68.88	0.875	bilinear
1114	repvit_m0_9.dist_450e_in1k	224	93.470	6.530	98.880	1.120	5.49	0.950	bicubic
1115	resnext50_32x4d.tv2_in1k	176	93.470	6.530	98.670	1.330	25.03	0.875	bilinear
1116	convnext_femto.d1_in1k	288	93.460	6.540	98.830	1.170	5.22	0.950	bicubic
1117	vit_small_patch16_224.augreg_in1k	224	93.460	6.540	98.770	1.230	22.05	0.900	bicubic
1118	nf_regnet_b1.ra2_in1k	256	93.450	6.550	98.850	1.150	10.22	0.900	bicubic
1119	repvit_m0_9.dist_300e_in1k	224	93.450	6.550	98.830	1.170	5.49	0.950	bicubic
1120	legacy_seresnet152.in1k	224	93.440	6.560	98.850	1.150	66.82	0.875	bilinear
1121	lambda_resnet26t.c1_in1k	256	93.440	6.560	98.760	1.240	10.96	0.940	bicubic
1122	resmlp_24_224.fb_in1k	224	93.430	6.570	98.820	1.180	30.02	0.875	bicubic
1123	resnet50.ra_in1k	224	93.430	6.570	98.820	1.180	25.56	0.875	bicubic
1124	lambda_resnet26rpt_256.c1_in1k	256	93.420	6.580	98.880	1.120	10.99	0.940	bicubic
1125	dla60_res2net.in1k	224	93.420	6.580	98.840	1.160	20.85	0.875	bilinear
1126	res2net50_26w_8s.in1k	224	93.420	6.580	98.680	1.320	48.40	0.875	bilinear
1127	ecaresnet26t.ra2_in1k	256	93.420	6.580	98.670	1.330	16.01	0.875	bicubic
1128	legacy_seresnext50_32x4d.in1k	224	93.410	6.590	98.810	1.190	27.56	0.875	bilinear
1129	repvgg_b1.rvgg_in1k	224	93.410	6.590	98.770	1.230	57.42	0.875	bilinear
1130	botnet26t_256.c1_in1k	256	93.410	6.590	98.660	1.340	12.49	0.950	bicubic
1131	hrnet_w30.ms_in1k	224	93.400	6.600	98.830	1.170	37.71	0.875	bilinear
1132	resnet50d.a3_in1k	224	93.400	6.600	98.750	1.250	25.58	0.950	bicubic
1133	eca_botnext26ts_256.c1_in1k	256	93.400	6.600	98.700	1.300	10.59	0.950	bicubic
1134	convnext_femto_ols.d1_in1k	288	93.390	6.610	98.890	1.110	5.23	0.950	bicubic
1135	resnet50.a1h_in1k	176	93.390	6.610	98.760	1.240	25.56	0.900	bicubic
1136	xcit_nano_12_p8_384.fb_dist_in1k	384	93.380	6.620	98.880	1.120	3.05	1.000	bicubic
1137	resnet152.a3_in1k	160	93.370	6.630	98.580	1.420	60.19	0.950	bicubic
1138	xcit_tiny_12_p16_224.fb_dist_in1k	224	93.340	6.660	98.770	1.230	6.72	1.000	bicubic
1139	seresnext26t_32x4d.bt_in1k	288	93.340	6.660	98.700	1.300	16.81	0.950	bicubic
1140	repvit_m1.dist_in1k	224	93.340	6.660	98.660	1.340	5.49	0.950	bicubic
1141	vit_base_patch16_224.augreg_in1k	224	93.340	6.660	98.640	1.360	86.57	0.900	bicubic
1142	efficientvit_b1.r224_in1k	224	93.320	6.680	98.620	1.380	9.10	0.950	bicubic
1143	regnetx_032.pycls_in1k	224	93.300	6.700	98.700	1.300	15.30	0.875	bicubic
1144	legacy_seresnet101.in1k	224	93.290	6.710	98.750	1.250	49.33	0.875	bilinear
1145	resnest26d.gluon_in1k	224	93.280	6.720	98.870	1.130	17.07	0.875	bilinear
1146	dla102.in1k	224	93.280	6.720	98.790	1.210	33.27	0.875	bilinear
1147	dpn68b.ra_in1k	224	93.280	6.720	98.530	1.470	12.61	0.950	bicubic
1148	pit_xs_distilled_224.in1k	224	93.270	6.730	98.790	1.210	11.00	0.900	bicubic
1149	resnet152.tv_in1k	224	93.270	6.730	98.750	1.250	60.19	0.875	bilinear
1150	mixnet_l.ft_in1k	224	93.270	6.730	98.680	1.320	7.33	0.875	bicubic
1151	cs3darknet_m.c2ns_in1k	288	93.240	6.760	98.710	1.290	9.31	0.950	bicubic
1152	fbnetv3_d.ra2_in1k	224	93.230	6.770	98.670	1.330	10.31	0.950	bilinear
1153	tf_efficientnetv2_b1.in1k	192	93.230	6.770	98.540	1.460	8.14	0.882	bicubic
1154	dla60x.in1k	224	93.220	6.780	98.720	1.280	17.35	0.875	bilinear
1155	tf_efficientnet_em.in1k	240	93.200	6.800	98.680	1.320	6.90	0.882	bicubic
1156	inception_v3.tf_in1k	299	93.200	6.800	98.480	1.520	23.83	0.875	bicubic
1157	convnextv2_femto.fcmae_ft_in1k	224	93.190	6.810	98.870	1.130	5.23	0.875	bicubic
1158	res2net50_26w_4s.in1k	224	93.190	6.810	98.660	1.340	25.70	0.875	bilinear
1159	mobilevit_s.cvnets_in1k	256	93.180	6.820	98.800	1.200	5.58	0.900	bicubic
1160	vit_base_patch32_384.augreg_in1k	384	93.180	6.820	98.620	1.380	88.30	1.000	bicubic
1161	regnety_008_tv.tv2_in1k	224	93.170	6.830	98.680	1.320	6.43	0.965	bicubic
1162	vit_relpos_base_patch32_plus_rpn_256.sw_in1k	256	93.170	6.830	98.320	1.680	119.42	0.900	bicubic
1163	res2next50.in1k	224	93.140	6.860	98.650	1.350	24.67	0.875	bilinear
1164	ghostnetv2_160.in1k	224	93.130	6.870	98.710	1.290	12.39	0.875	bicubic
1165	efficientnet_b0.ra4_e3600_r224_in1k	224	93.130	6.870	98.660	1.340	5.29	0.900	bicubic
1166	cs3darknet_focus_m.c2ns_in1k	288	93.120	6.880	98.750	1.250	9.30	0.950	bicubic
1167	bat_resnext26ts.ch_in1k	256	93.120	6.880	98.720	1.280	10.73	0.900	bicubic
1168	mobilevitv2_100.cvnets_in1k	256	93.110	6.890	98.760	1.240	4.90	0.888	bicubic
1169	resnet50.bt_in1k	224	93.110	6.890	98.600	1.400	25.56	0.875	bicubic
1170	repvgg_b1g4.rvgg_in1k	224	93.060	6.940	98.820	1.180	39.97	0.875	bilinear
1171	levit_128.fb_dist_in1k	224	93.060	6.940	98.670	1.330	9.21	0.900	bicubic
1172	regnety_016.pycls_in1k	224	93.060	6.940	98.660	1.340	11.20	0.875	bicubic
1173	efficientnet_b1_pruned.in1k	240	93.060	6.940	98.560	1.440	6.33	0.882	bicubic
1174	seresnext26d_32x4d.bt_in1k	288	93.050	6.950	98.710	1.290	16.81	0.950	bicubic
1175	levit_conv_128.fb_dist_in1k	224	93.050	6.950	98.690	1.310	9.21	0.900	bicubic
1176	tf_mixnet_l.in1k	224	93.050	6.950	98.550	1.450	7.33	0.875	bicubic
1177	tf_efficientnetv2_b0.in1k	224	93.040	6.960	98.700	1.300	7.14	0.875	bicubic
1178	efficientnet_b1.ft_in1k	256	93.020	6.980	98.710	1.290	7.79	1.000	bicubic
1179	res2net50_14w_8s.in1k	224	93.020	6.980	98.700	1.300	25.06	0.875	bilinear
1180	hardcorenas_f.miil_green_in1k	224	93.020	6.980	98.650	1.350	8.20	0.875	bilinear
1181	resnet34.a1_in1k	288	93.020	6.980	98.590	1.410	21.80	1.000	bicubic
1182	densenetblur121d.ra_in1k	288	93.010	6.990	98.600	1.400	8.00	0.950	bicubic
1183	mobileone_s3.apple_in1k	224	93.000	7.000	98.610	1.390	10.17	0.900	bilinear
1184	selecsls60.in1k	224	92.990	7.010	98.830	1.170	30.67	0.875	bicubic
1185	hrnet_w32.ms_in1k	224	92.970	7.030	98.830	1.170	41.23	0.875	bilinear
1186	hrnet_w18_small_v2.gluon_in1k	224	92.970	7.030	98.780	1.220	15.60	0.875	bicubic
1187	visformer_tiny.in1k	224	92.970	7.030	98.740	1.260	10.32	0.900	bicubic
1188	seresnext26ts.ch_in1k	288	92.970	7.030	98.710	1.290	10.39	1.000	bicubic
1189	resnet50.a3_in1k	224	92.970	7.030	98.550	1.450	25.56	0.950	bicubic
1190	dpn68b.mx_in1k	224	92.970	7.030	98.500	1.500	12.61	0.875	bicubic
1191	inception_v3.tf_adv_in1k	299	92.970	7.030	98.490	1.510	23.83	0.875	bicubic
1192	efficientnet_es.ra_in1k	224	92.960	7.040	98.690	1.310	5.44	0.875	bicubic
1193	resnet26t.ra2_in1k	320	92.960	7.040	98.680	1.320	16.01	1.000	bicubic
1194	densenet161.tv_in1k	224	92.950	7.050	98.800	1.200	28.68	0.875	bicubic
1195	convnext_atto_ols.a2_in1k	288	92.950	7.050	98.660	1.340	3.70	0.950	bicubic
1196	hardcorenas_e.miil_green_in1k	224	92.950	7.050	98.580	1.420	8.07	0.875	bilinear
1197	tf_efficientnet_b1.in1k	240	92.940	7.060	98.660	1.340	7.79	0.882	bicubic
1198	resnet50c.gluon_in1k	224	92.930	7.070	98.710	1.290	25.58	0.875	bicubic
1199	fbnetv3_b.ra2_in1k	224	92.920	7.080	98.760	1.240	8.60	0.950	bilinear
1200	convnextv2_atto.fcmae_ft_in1k	288	92.910	7.090	98.560	1.440	3.71	0.950	bicubic
1201	poolformerv2_s12.sail_in1k	224	92.910	7.090	98.530	1.470	11.89	1.000	bicubic
1202	pit_xs_224.in1k	224	92.900	7.100	98.790	1.210	10.62	0.900	bicubic
1203	resnext50_32x4d.tv_in1k	224	92.900	7.100	98.730	1.270	25.03	0.875	bilinear
1204	resnetrs50.tf_in1k	160	92.900	7.100	98.600	1.400	35.69	0.910	bicubic
1205	inception_v3.tv_in1k	299	92.900	7.100	98.320	1.680	23.83	0.875	bicubic
1206	resnet101.tv_in1k	224	92.890	7.110	98.650	1.350	44.55	0.875	bilinear
1207	convnext_femto_ols.d1_in1k	224	92.880	7.120	98.690	1.310	5.23	0.875	bicubic
1208	resmlp_12_224.fb_distilled_in1k	224	92.880	7.120	98.660	1.340	15.35	0.875	bicubic
1209	coat_lite_tiny.in1k	224	92.880	7.120	98.650	1.350	5.72	0.900	bicubic
1210	convnext_femto.d1_in1k	224	92.880	7.120	98.600	1.400	5.22	0.875	bicubic
1211	resnet101.a3_in1k	160	92.880	7.120	98.520	1.480	44.55	0.950	bicubic
1212	tf_efficientnet_cc_b0_8e.in1k	224	92.880	7.120	98.510	1.490	24.01	0.875	bicubic
1213	tf_efficientnet_cc_b0_4e.in1k	224	92.860	7.140	98.440	1.560	13.31	0.875	bicubic
1214	hgnetv2_b0.ssld_stage2_ft_in1k	224	92.840	7.160	98.690	1.310	6.00	0.965	bicubic
1215	rexnet_100.nav_in1k	224	92.840	7.160	98.640	1.360	4.80	0.875	bicubic
1216	tinynet_a.in1k	192	92.820	7.180	98.570	1.430	6.19	0.875	bicubic
1217	gcresnext26ts.ch_in1k	288	92.810	7.190	98.610	1.390	10.48	1.000	bicubic
1218	seresnext26ts.ch_in1k	256	92.810	7.190	98.600	1.400	10.39	0.900	bicubic
1219	res2net50_48w_2s.in1k	224	92.810	7.190	98.450	1.550	25.29	0.875	bilinear
1220	cs3darknet_focus_m.c2ns_in1k	256	92.800	7.200	98.600	1.400	9.30	0.887	bicubic
1221	seresnext26t_32x4d.bt_in1k	224	92.800	7.200	98.540	1.460	16.81	0.875	bicubic
1222	convnext_atto.d2_in1k	288	92.780	7.220	98.600	1.400	3.70	0.950	bicubic
1223	crossvit_9_dagger_240.in1k	240	92.780	7.220	98.500	1.500	8.78	0.875	bicubic
1224	eca_resnext26ts.ch_in1k	288	92.770	7.230	98.710	1.290	10.30	1.000	bicubic
1225	hrnet_w18.ms_in1k	224	92.750	7.250	98.650	1.350	21.30	0.875	bilinear
1226	densenet121.ra_in1k	288	92.750	7.250	98.630	1.370	7.98	0.950	bicubic
1227	densenet201.tv_in1k	224	92.740	7.260	98.680	1.320	20.01	0.875	bicubic
1228	ese_vovnet19b_dw.ra_in1k	288	92.740	7.260	98.650	1.350	6.54	0.950	bicubic
1229	dla60.in1k	224	92.710	7.290	98.620	1.380	22.04	0.875	bilinear
1230	tf_efficientnet_lite2.in1k	260	92.710	7.290	98.550	1.450	6.09	0.890	bicubic
1231	cs3darknet_m.c2ns_in1k	256	92.700	7.300	98.680	1.320	9.31	0.887	bicubic
1232	resnet34d.ra2_in1k	224	92.680	7.320	98.450	1.550	21.82	0.875	bicubic
1233	hgnetv2_b0.ssld_stage1_in22k_in1k	224	92.670	7.330	98.690	1.310	6.00	0.965	bicubic
1234	legacy_seresnet50.in1k	224	92.670	7.330	98.660	1.340	28.09	0.875	bilinear
1235	resnet26t.ra2_in1k	256	92.670	7.330	98.600	1.400	16.01	0.940	bicubic
1236	gmixer_24_224.ra3_in1k	224	92.670	7.330	98.240	1.760	24.72	0.875	bicubic
1237	mobilenetv2_120d.ra_in1k	224	92.660	7.340	98.560	1.440	5.83	0.875	bicubic
1238	repvgg_a2.rvgg_in1k	224	92.660	7.340	98.530	1.470	28.21	0.875	bilinear
1239	mobileone_s2.apple_in1k	224	92.630	7.370	98.680	1.320	7.88	0.900	bilinear
1240	hardcorenas_d.miil_green_in1k	224	92.620	7.380	98.480	1.520	7.50	0.875	bilinear
1241	tf_efficientnet_b0.ap_in1k	224	92.620	7.380	98.410	1.590	5.29	0.875	bicubic
1242	ecaresnet50t.a3_in1k	160	92.600	7.400	98.600	1.400	25.57	0.950	bicubic
1243	regnetx_016.pycls_in1k	224	92.600	7.400	98.570	1.430	9.19	0.875	bicubic
1244	resnet26d.bt_in1k	288	92.590	7.410	98.640	1.360	16.01	0.950	bicubic
1245	resnet34.a2_in1k	288	92.590	7.410	98.600	1.400	21.80	1.000	bicubic
1246	legacy_seresnext26_32x4d.in1k	224	92.590	7.410	98.450	1.550	16.79	0.875	bicubic
1247	fastvit_t8.apple_dist_in1k	256	92.590	7.410	98.430	1.570	4.03	0.900	bicubic
1248	resnet50.gluon_in1k	224	92.570	7.430	98.540	1.460	25.56	0.875	bicubic
1249	skresnet34.ra_in1k	224	92.570	7.430	98.510	1.490	22.28	0.875	bicubic
1250	xcit_tiny_12_p16_224.fb_in1k	224	92.540	7.460	98.650	1.350	6.72	1.000	bicubic
1251	poolformer_s12.sail_in1k	224	92.510	7.490	98.390	1.610	11.92	0.900	bicubic
1252	selecsls42b.in1k	224	92.480	7.520	98.440	1.560	32.46	0.875	bicubic
1253	mobilenetv1_125.ra4_e3600_r224_in1k	256	92.470	7.530	98.580	1.420	6.27	1.000	bicubic
1254	efficientnet_b0.ra_in1k	224	92.460	7.540	98.680	1.320	5.29	0.875	bicubic
1255	seresnext26d_32x4d.bt_in1k	224	92.460	7.540	98.540	1.460	16.81	0.875	bicubic
1256	gcresnext26ts.ch_in1k	256	92.460	7.540	98.510	1.490	10.48	0.900	bicubic
1257	regnetx_008.tv2_in1k	224	92.460	7.540	98.450	1.550	7.26	0.965	bicubic
1258	eca_resnext26ts.ch_in1k	256	92.450	7.550	98.610	1.390	10.30	0.900	bicubic
1259	gernet_s.idstcv_in1k	224	92.440	7.560	98.500	1.500	8.17	0.875	bilinear
1260	resnext26ts.ra2_in1k	288	92.430	7.570	98.390	1.610	10.30	1.000	bicubic
1261	repghostnet_150.in1k	224	92.400	7.600	98.540	1.460	6.58	0.875	bicubic
1262	xcit_nano_12_p8_224.fb_dist_in1k	224	92.400	7.600	98.520	1.480	3.05	1.000	bicubic
1263	densenetblur121d.ra_in1k	224	92.400	7.600	98.410	1.590	8.00	0.875	bicubic
1264	tf_efficientnet_b0.aa_in1k	224	92.390	7.610	98.480	1.520	5.29	0.875	bicubic
1265	seresnet50.a3_in1k	224	92.380	7.620	98.330	1.670	28.09	0.950	bicubic
1266	resnext50_32x4d.a3_in1k	160	92.350	7.650	98.360	1.640	25.03	0.950	bicubic
1267	mobilenetv1_100h.ra4_e3600_r224_in1k	256	92.350	7.650	98.260	1.740	5.28	0.950	bicubic
1268	densenet169.tv_in1k	224	92.340	7.660	98.570	1.430	14.15	0.875	bicubic
1269	efficientnet_b1.ft_in1k	224	92.340	7.660	98.360	1.640	7.79	0.875	bicubic
1270	convmixer_1024_20_ks9_p14.in1k	224	92.330	7.670	98.410	1.590	24.38	0.960	bicubic
1271	resnet34.bt_in1k	288	92.320	7.680	98.640	1.360	21.80	0.950	bicubic
1272	hardcorenas_c.miil_green_in1k	224	92.320	7.680	98.330	1.670	5.52	0.875	bilinear
1273	tf_efficientnet_lite1.in1k	240	92.310	7.690	98.520	1.480	5.42	0.882	bicubic
1274	dpn68.mx_in1k	224	92.290	7.710	98.600	1.400	12.61	0.875	bicubic
1275	resnet50d.a3_in1k	160	92.280	7.720	98.330	1.670	25.58	0.950	bicubic
1276	tf_efficientnet_b0.in1k	224	92.270	7.730	98.560	1.440	5.29	0.875	bicubic
1277	ghostnetv2_130.in1k	224	92.270	7.730	98.370	1.630	8.96	0.875	bicubic
1278	mixnet_m.ft_in1k	224	92.270	7.730	98.370	1.630	5.01	0.875	bicubic
1279	tf_efficientnetv2_b0.in1k	192	92.260	7.740	98.370	1.630	7.14	0.875	bicubic
1280	resnext26ts.ra2_in1k	256	92.260	7.740	98.270	1.730	10.30	0.900	bicubic
1281	vit_small_patch32_224.augreg_in21k_ft_in1k	224	92.250	7.750	98.480	1.520	22.88	0.900	bicubic
1282	resnet26d.bt_in1k	224	92.230	7.770	98.470	1.530	16.01	0.875	bicubic
1283	mobilenetv3_large_100.miil_in21k_ft_in1k	224	92.230	7.770	98.230	1.770	5.48	0.875	bilinear
1284	convnext_atto.d2_in1k	224	92.220	7.780	98.310	1.690	3.70	0.875	bicubic
1285	tf_mixnet_m.in1k	224	92.200	7.800	98.420	1.580	5.01	0.875	bicubic
1286	convnextv2_atto.fcmae_ft_in1k	224	92.190	7.810	98.360	1.640	3.71	0.875	bicubic
1287	resnet26.bt_in1k	288	92.160	7.840	98.550	1.450	16.00	0.950	bicubic
1288	resnet50.tv_in1k	224	92.150	7.850	98.390	1.610	25.56	0.875	bilinear
1289	resmlp_12_224.fb_in1k	224	92.130	7.870	98.570	1.430	15.35	0.875	bicubic
1290	xcit_nano_12_p16_384.fb_dist_in1k	384	92.130	7.870	98.520	1.480	3.05	1.000	bicubic
1291	efficientvit_m5.r224_in1k	224	92.130	7.870	98.510	1.490	12.47	0.875	bicubic
1292	tf_efficientnet_es.in1k	224	92.100	7.900	98.430	1.570	5.44	0.875	bicubic
1293	convnext_atto_ols.a2_in1k	224	92.100	7.900	98.380	1.620	3.70	0.875	bicubic
1294	mobilenetv1_100.ra4_e3600_r224_in1k	256	92.080	7.920	98.350	1.650	4.23	0.950	bicubic
1295	mobilenetv1_125.ra4_e3600_r224_in1k	224	92.080	7.920	98.350	1.650	6.27	0.900	bicubic
1296	mobilenetv2_140.ra_in1k	224	92.080	7.920	98.270	1.730	6.11	0.875	bicubic
1297	ese_vovnet19b_dw.ra_in1k	224	92.010	7.990	98.520	1.480	6.54	0.875	bicubic
1298	mobilevitv2_075.cvnets_in1k	256	92.010	7.990	98.320	1.680	2.87	0.888	bicubic
1299	hardcorenas_b.miil_green_in1k	224	91.960	8.040	98.420	1.580	5.18	0.875	bilinear
1300	vit_tiny_patch16_224.augreg_in21k_ft_in1k	224	91.950	8.050	98.330	1.670	5.72	0.900	bicubic
1301	fastvit_t8.apple_in1k	256	91.940	8.060	98.410	1.590	4.03	0.900	bicubic
1302	densenet121.ra_in1k	224	91.940	8.060	98.280	1.720	7.98	0.875	bicubic
1303	resnet34.a1_in1k	224	91.930	8.070	98.390	1.610	21.80	0.950	bicubic
1304	repghostnet_130.in1k	224	91.930	8.070	98.360	1.640	5.48	0.875	bicubic
1305	regnety_008.pycls_in1k	224	91.880	8.120	98.420	1.580	6.26	0.875	bicubic
1306	efficientformerv2_s0.snap_dist_in1k	224	91.860	8.140	98.370	1.630	3.60	0.950	bicubic
1307	mixnet_s.ft_in1k	224	91.820	8.180	98.340	1.660	4.13	0.875	bicubic
1308	mobileone_s1.apple_in1k	224	91.780	8.220	98.470	1.530	4.83	0.900	bilinear
1309	resnet34.a2_in1k	224	91.770	8.230	98.260	1.740	21.80	0.950	bicubic
1310	repvgg_b0.rvgg_in1k	224	91.710	8.290	98.460	1.540	15.82	0.875	bilinear
1311	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	384	91.710	8.290	98.420	1.580	6.36	1.000	bicubic
1312	efficientnet_es_pruned.in1k	224	91.710	8.290	98.400	1.600	5.44	0.875	bicubic
1313	tf_mixnet_s.in1k	224	91.710	8.290	98.230	1.770	4.13	0.875	bicubic
1314	hardcorenas_a.miil_green_in1k	224	91.680	8.320	98.140	1.860	5.26	0.875	bilinear
1315	semnasnet_100.rmsp_in1k	224	91.660	8.340	98.260	1.740	3.89	0.875	bicubic
1316	resnet50.a3_in1k	160	91.660	8.340	98.060	1.940	25.56	0.950	bicubic
1317	mobilenetv1_100h.ra4_e3600_r224_in1k	224	91.650	8.350	98.060	1.940	5.28	0.875	bicubic
1318	ghostnetv2_100.in1k	224	91.630	8.370	98.280	1.720	6.16	0.875	bicubic
1319	regnety_006.pycls_in1k	224	91.600	8.400	98.420	1.580	6.06	0.875	bicubic
1320	regnety_004.tv2_in1k	224	91.590	8.410	98.300	1.700	4.34	0.965	bicubic
1321	edgenext_x_small.in1k	288	91.590	8.410	98.190	1.810	2.34	1.000	bicubic
1322	levit_128s.fb_dist_in1k	224	91.580	8.420	98.420	1.580	7.78	0.900	bicubic
1323	mobilenetv3_rw.rmsp_in1k	224	91.550	8.450	98.270	1.730	5.48	0.875	bicubic
1324	levit_conv_128s.fb_dist_in1k	224	91.540	8.460	98.430	1.570	7.78	0.900	bicubic
1325	legacy_seresnet34.in1k	224	91.480	8.520	98.220	1.780	21.96	0.875	bilinear
1326	mobilenetv3_large_100.ra_in1k	224	91.470	8.530	98.320	1.680	5.48	0.875	bicubic
1327	resnet26.bt_in1k	224	91.460	8.540	98.270	1.730	16.00	0.875	bicubic
1328	densenet121.tv_in1k	224	91.440	8.560	98.240	1.760	7.98	0.875	bicubic
1329	edgenext_x_small.in1k	256	91.430	8.570	98.160	1.840	2.34	0.900	bicubic
1330	tf_mobilenetv3_large_100.in1k	224	91.410	8.590	98.240	1.760	5.48	0.875	bilinear
1331	tf_efficientnet_lite0.in1k	224	91.360	8.640	98.090	1.910	4.65	0.875	bicubic
1332	mobilenetv1_100.ra4_e3600_r224_in1k	224	91.350	8.650	98.140	1.860	4.23	0.875	bicubic
1333	mobilenetv2_110d.ra_in1k	224	91.320	8.680	98.150	1.850	4.52	0.875	bicubic
1334	efficientnet_lite0.ra_in1k	224	91.270	8.730	98.230	1.770	4.65	0.875	bicubic
1335	mobilevit_xs.cvnets_in1k	256	91.270	8.730	98.220	1.780	2.32	0.900	bicubic
1336	seresnet50.a3_in1k	160	91.270	8.730	97.950	2.050	28.09	0.950	bicubic
1337	dla34.in1k	224	91.260	8.740	98.160	1.840	15.74	0.875	bilinear
1338	mnasnet_100.rmsp_in1k	224	91.260	8.740	98.030	1.970	4.38	0.875	bicubic
1339	fbnetc_100.rmsp_in1k	224	91.250	8.750	97.830	2.170	5.57	0.875	bilinear
1340	regnetx_008.pycls_in1k	224	91.220	8.780	98.380	1.620	7.26	0.875	bicubic
1341	resnet34.bt_in1k	224	91.200	8.800	98.200	1.800	21.80	0.875	bicubic
1342	hrnet_w18_small_v2.ms_in1k	224	91.190	8.810	98.350	1.650	15.60	0.875	bilinear
1343	xcit_nano_12_p8_224.fb_in1k	224	91.190	8.810	98.280	1.720	3.05	1.000	bicubic
1344	repvgg_a1.rvgg_in1k	224	91.160	8.840	98.190	1.810	14.09	0.875	bilinear
1345	regnetx_004_tv.tv2_in1k	224	91.160	8.840	98.100	1.900	5.50	0.965	bicubic
1346	resnest14d.gluon_in1k	224	91.140	8.860	98.350	1.650	10.61	0.875	bilinear
1347	deit_tiny_distilled_patch16_224.fb_in1k	224	91.130	8.870	98.270	1.730	5.91	0.900	bicubic
1348	tinynet_b.in1k	188	91.130	8.870	98.070	1.930	3.73	0.875	bicubic
1349	mixer_b16_224.goog_in21k_ft_in1k	224	91.120	8.880	97.410	2.590	59.88	0.875	bicubic
1350	resnet34.gluon_in1k	224	91.110	8.890	98.180	1.820	21.80	0.875	bicubic
1351	repghostnet_111.in1k	224	91.110	8.890	98.050	1.950	4.54	0.875	bicubic
1352	mobilenetv4_conv_small.e2400_r224_in1k	256	91.100	8.900	98.080	1.920	3.77	0.950	bicubic
1353	crossvit_9_240.in1k	240	91.070	8.930	98.310	1.690	8.55	0.875	bicubic
1354	resnet18.fb_swsl_ig1b_ft_in1k	224	91.060	8.940	98.200	1.800	11.69	0.875	bilinear
1355	vgg19_bn.tv_in1k	224	90.980	9.020	98.120	1.880	143.68	0.875	bilinear
1356	resnet18d.ra2_in1k	288	90.770	9.230	98.150	1.850	11.71	0.950	bicubic
1357	regnety_004.pycls_in1k	224	90.760	9.240	98.070	1.930	4.34	0.875	bicubic
1358	efficientvit_m4.r224_in1k	224	90.760	9.240	98.040	1.960	8.80	0.875	bicubic
1359	pit_ti_distilled_224.in1k	224	90.750	9.250	98.250	1.750	5.10	0.900	bicubic
1360	regnetx_006.pycls_in1k	224	90.750	9.250	98.090	1.910	6.20	0.875	bicubic
1361	resnet18.fb_ssl_yfcc100m_ft_in1k	224	90.690	9.310	98.040	1.960	11.69	0.875	bilinear
1362	spnasnet_100.rmsp_in1k	224	90.670	9.330	97.960	2.040	4.42	0.875	bilinear
1363	repghostnet_100.in1k	224	90.660	9.340	98.110	1.890	4.07	0.875	bicubic
1364	convit_tiny.fb_in1k	224	90.580	9.420	98.200	1.800	5.71	0.875	bicubic
1365	vit_base_patch32_224.augreg_in1k	224	90.580	9.420	97.740	2.260	88.22	0.900	bicubic
1366	crossvit_tiny_240.in1k	240	90.540	9.460	97.960	2.040	7.01	0.875	bicubic
1367	mobilenetv4_conv_small.e2400_r224_in1k	224	90.540	9.460	97.820	2.180	3.77	0.875	bicubic
1368	vgg16_bn.tv_in1k	224	90.520	9.480	97.990	2.010	138.37	0.875	bilinear
1369	ghostnet_100.in1k	224	90.470	9.530	97.930	2.070	5.18	0.875	bicubic
1370	pit_ti_224.in1k	224	90.450	9.550	98.010	1.990	4.85	0.900	bicubic
1371	tf_mobilenetv3_large_075.in1k	224	90.330	9.670	97.860	2.140	3.99	0.875	bilinear
1372	hrnet_w18_small.gluon_in1k	224	90.310	9.690	97.760	2.240	13.19	0.875	bicubic
1373	resnet34.a3_in1k	224	90.300	9.700	97.890	2.110	21.80	0.950	bicubic
1374	resnet34.tv_in1k	224	90.290	9.710	97.970	2.030	21.80	0.875	bilinear
1375	semnasnet_075.rmsp_in1k	224	90.280	9.720	97.930	2.070	2.91	0.875	bicubic
1376	mobilenetv4_conv_small.e1200_r224_in1k	256	90.260	9.740	98.090	1.910	3.77	0.950	bicubic
1377	xcit_nano_12_p16_224.fb_dist_in1k	224	90.210	9.790	97.760	2.240	3.05	1.000	bicubic
1378	resnet18.a1_in1k	288	90.190	9.810	97.780	2.220	11.69	1.000	bicubic
1379	skresnet18.ra_in1k	224	90.170	9.830	97.780	2.220	11.96	0.875	bicubic
1380	mobilenetv4_conv_small.e1200_r224_in1k	224	90.130	9.870	97.980	2.020	3.77	0.875	bicubic
1381	efficientvit_m3.r224_in1k	224	90.060	9.940	97.830	2.170	6.90	0.875	bicubic
1382	resnet18d.ra2_in1k	224	90.020	9.980	97.840	2.160	11.71	0.875	bicubic
1383	hrnet_w18_small.ms_in1k	224	89.880	10.120	97.890	2.110	13.19	0.875	bilinear
1384	mobilenetv2_100.ra_in1k	224	89.880	10.120	97.820	2.180	3.50	0.875	bicubic
1385	vit_base_patch32_224.sam_in1k	224	89.880	10.120	97.600	2.400	88.22	0.900	bicubic
1386	repvgg_a0.rvgg_in1k	224	89.810	10.190	97.790	2.210	9.11	0.875	bilinear
1387	edgenext_xx_small.in1k	288	89.810	10.190	97.500	2.500	1.33	1.000	bicubic
1388	vgg19.tv_in1k	224	89.700	10.300	97.530	2.470	143.67	0.875	bilinear
1389	deit_tiny_patch16_224.fb_in1k	224	89.640	10.360	97.960	2.040	5.72	0.900	bicubic
1390	resnet18.a2_in1k	288	89.540	10.460	97.660	2.340	11.69	1.000	bicubic
1391	regnetx_004.pycls_in1k	224	89.490	10.510	97.820	2.180	5.16	0.875	bicubic
1392	repghostnet_080.in1k	224	89.470	10.530	97.440	2.560	3.28	0.875	bicubic
1393	vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	224	89.410	10.590	97.700	2.300	6.34	0.900	bicubic
1394	vgg16.tv_in1k	224	89.400	10.600	97.500	2.500	138.36	0.875	bilinear
1395	legacy_seresnet18.in1k	224	89.290	10.710	97.710	2.290	11.78	0.875	bicubic
1396	edgenext_xx_small.in1k	256	89.260	10.740	97.250	2.750	1.33	0.900	bicubic
1397	resnet14t.c3_in1k	224	89.240	10.760	97.450	2.550	10.08	0.950	bicubic
1398	vgg13_bn.tv_in1k	224	89.230	10.770	97.520	2.480	133.05	0.875	bilinear
1399	tf_mobilenetv3_large_minimal_100.in1k	224	89.200	10.800	97.290	2.710	3.92	0.875	bilinear
1400	resnet18.a1_in1k	224	89.150	10.850	97.330	2.670	11.69	0.950	bicubic
1401	mobilevitv2_050.cvnets_in1k	256	89.060	10.940	97.590	2.410	1.37	0.888	bicubic
1402	pvt_v2_b0.in1k	224	88.990	11.010	97.680	2.320	3.67	0.900	bicubic
1403	efficientvit_m2.r224_in1k	224	88.940	11.060	97.350	2.650	4.19	0.875	bicubic
1404	lcnet_100.ra2_in1k	224	88.920	11.080	97.370	2.630	2.95	0.875	bicubic
1405	xcit_nano_12_p16_224.fb_in1k	224	88.900	11.100	97.440	2.560	3.05	1.000	bicubic
1406	mobileone_s0.apple_in1k	224	88.780	11.220	97.230	2.770	5.29	0.875	bilinear
1407	resnet18.gluon_in1k	224	88.690	11.310	97.110	2.890	11.69	0.875	bicubic
1408	resnet34.a3_in1k	160	88.650	11.350	97.370	2.630	21.80	0.950	bicubic
1409	resnet14t.c3_in1k	176	88.470	11.530	96.950	3.050	10.08	0.875	bicubic
1410	tinynet_c.in1k	184	88.420	11.580	97.270	2.730	2.46	0.875	bicubic
1411	vgg11_bn.tv_in1k	224	88.410	11.590	97.280	2.720	132.87	0.875	bilinear
1412	efficientvit_b0.r224_in1k	224	88.270	11.730	96.880	3.120	3.41	0.950	bicubic
1413	regnety_002.pycls_in1k	224	88.210	11.790	97.430	2.570	3.16	0.875	bicubic
1414	resnet18.a2_in1k	224	88.210	11.790	97.180	2.820	11.69	0.950	bicubic
1415	resnet18.tv_in1k	224	88.200	11.800	97.110	2.890	11.69	0.875	bilinear
1416	mobilevit_xxs.cvnets_in1k	256	87.970	12.030	97.190	2.810	1.27	0.900	bicubic
1417	vgg13.tv_in1k	224	87.550	12.450	97.120	2.880	133.05	0.875	bilinear
1418	vgg11.tv_in1k	224	87.340	12.660	97.130	2.870	132.86	0.875	bilinear
1419	regnetx_002.pycls_in1k	224	87.340	12.660	96.980	3.020	2.68	0.875	bicubic
1420	efficientvit_m1.r224_in1k	224	87.190	12.810	97.000	3.000	2.98	0.875	bicubic
1421	repghostnet_058.in1k	224	87.190	12.810	96.710	3.290	2.55	0.875	bicubic
1422	dla60x_c.in1k	224	87.110	12.890	97.150	2.850	1.32	0.875	bilinear
1423	resnet18.a3_in1k	224	87.020	12.980	96.670	3.330	11.69	0.950	bicubic
1424	lcnet_075.ra2_in1k	224	87.010	12.990	96.550	3.450	2.36	0.875	bicubic
1425	mixer_l16_224.goog_in21k_ft_in1k	224	87.000	13.000	94.020	5.980	208.20	0.875	bicubic
1426	resnet10t.c3_in1k	224	86.710	13.290	96.730	3.270	5.44	0.950	bicubic
1427	mobilenetv3_small_100.lamb_in1k	224	86.200	13.800	96.470	3.530	2.54	0.875	bicubic
1428	tf_mobilenetv3_small_100.in1k	224	86.010	13.990	96.390	3.610	2.54	0.875	bilinear
1429	repghostnet_050.in1k	224	85.560	14.440	96.110	3.890	2.31	0.875	bicubic
1430	resnet10t.c3_in1k	176	85.490	14.510	96.290	3.710	5.44	0.875	bicubic
1431	mnasnet_small.lamb_in1k	224	85.490	14.510	95.970	4.030	2.03	0.875	bicubic
1432	tinynet_d.in1k	152	85.480	14.520	96.020	3.980	2.34	0.875	bicubic
1433	dla46x_c.in1k	224	85.450	14.550	96.450	3.550	1.07	0.875	bilinear
1434	resnet18.a3_in1k	160	85.040	14.960	95.940	4.060	11.69	0.950	bicubic
1435	mobilenetv2_050.lamb_in1k	224	84.990	15.010	95.640	4.360	1.97	0.875	bicubic
1436	dla46_c.in1k	224	84.720	15.280	96.210	3.790	1.30	0.875	bilinear
1437	tf_mobilenetv3_small_075.in1k	224	84.520	15.480	95.790	4.210	2.04	0.875	bilinear
1438	mobilenetv3_small_075.lamb_in1k	224	84.140	15.860	95.500	4.500	2.04	0.875	bicubic
1439	efficientvit_m0.r224_in1k	224	83.340	16.660	95.630	4.370	2.35	0.875	bicubic
1440	lcnet_050.ra2_in1k	224	83.130	16.870	94.950	5.050	1.88	0.875	bicubic
1441	tf_mobilenetv3_small_minimal_100.in1k	224	82.640	17.360	94.990	5.010	2.04	0.875	bilinear
1442	tinynet_e.in1k	106	79.840	20.160	94.000	6.000	2.04	0.875	bicubic
1443	mobilenetv3_small_050.lamb_in1k	224	78.090	21.910	93.040	6.960	1.59	0.875	bicubic
1444	test_efficientnet.r160_in1k	160	67.700	32.300	88.400	11.600	0.36	0.875	bicubic
1445	test_byobnet.r160_in1k	160	67.360	32.640	88.390	11.610	0.46	0.875	bicubic
1446	test_vit.r160_in1k	160	63.990	36.010	87.680	12.320	0.37	0.875	bicubic