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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	crop_pct	interpolation
2	eva02_large_patch14_448.mim_in22k_ft_in22k_in1k	98.930	1.070	99.910	0.090	305.08	448	1.000	bicubic
3	eva02_large_patch14_448.mim_m38m_ft_in22k_in1k	98.850	1.150	99.880	0.120	305.08	448	1.000	bicubic
4	eva02_large_patch14_448.mim_in22k_ft_in1k	98.840	1.160	99.830	0.170	305.08	448	1.000	bicubic
5	eva_giant_patch14_560.m30m_ft_in22k_in1k	98.830	1.170	99.900	0.100	1,014.45	560	1.000	bicubic
6	eva_giant_patch14_336.clip_ft_in1k	98.820	1.180	99.810	0.190	1,013.01	336	1.000	bicubic
7	eva_giant_patch14_336.m30m_ft_in22k_in1k	98.810	1.190	99.900	0.100	1,013.01	336	1.000	bicubic
8	eva_large_patch14_336.in22k_ft_in22k_in1k	98.740	1.260	99.800	0.200	304.53	336	1.000	bicubic
9	eva_large_patch14_336.in22k_ft_in1k	98.730	1.270	99.870	0.130	304.53	336	1.000	bicubic
10	eva02_large_patch14_448.mim_m38m_ft_in1k	98.730	1.270	99.790	0.210	305.08	448	1.000	bicubic
11	convnextv2_huge.fcmae_ft_in22k_in1k_384	98.670	1.330	99.860	0.140	660.29	384	1.000	bicubic
12	eva02_base_patch14_448.mim_in22k_ft_in22k_in1k	98.640	1.360	99.800	0.200	87.12	448	1.000	bicubic
13	maxvit_base_tf_512.in21k_ft_in1k	98.620	1.380	99.800	0.200	119.88	512	1.000	bicubic
14	maxvit_xlarge_tf_512.in21k_ft_in1k	98.620	1.380	99.800	0.200	475.77	512	1.000	bicubic
15	maxvit_large_tf_512.in21k_ft_in1k	98.620	1.380	99.790	0.210	212.33	512	1.000	bicubic
16	convnextv2_huge.fcmae_ft_in22k_in1k_512	98.600	1.400	99.870	0.130	660.29	512	1.000	bicubic
17	beit_large_patch16_512.in22k_ft_in22k_in1k	98.560	1.440	99.840	0.160	305.67	512	1.000	bicubic
18	tf_efficientnet_l2.ns_jft_in1k	98.550	1.450	99.820	0.180	480.31	800	0.960	bicubic
19	beitv2_large_patch16_224.in1k_ft_in22k_in1k	98.540	1.460	99.760	0.240	304.43	224	0.950	bicubic
20	beit_large_patch16_384.in22k_ft_in22k_in1k	98.520	1.480	99.820	0.180	305.00	384	1.000	bicubic
21	maxvit_base_tf_384.in21k_ft_in1k	98.520	1.480	99.750	0.250	119.65	384	1.000	bicubic
22	tf_efficientnet_l2.ns_jft_in1k_475	98.500	1.500	99.830	0.170	480.31	475	0.936	bicubic
23	maxvit_xlarge_tf_384.in21k_ft_in1k	98.500	1.500	99.780	0.220	475.32	384	1.000	bicubic
24	maxvit_large_tf_384.in21k_ft_in1k	98.490	1.510	99.750	0.250	212.03	384	1.000	bicubic
25	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384	98.480	1.520	99.780	0.220	200.13	384	1.000	bicubic
26	deit3_large_patch16_384.fb_in22k_ft_in1k	98.460	1.540	99.760	0.240	304.76	384	1.000	bicubic
27	eva_giant_patch14_224.clip_ft_in1k	98.460	1.540	99.750	0.250	1,012.56	224	0.900	bicubic
28	regnety_1280.swag_ft_in1k	98.450	1.550	99.870	0.130	644.81	384	1.000	bicubic
29	eva02_base_patch14_448.mim_in22k_ft_in1k	98.440	1.560	99.820	0.180	87.12	448	1.000	bicubic
30	caformer_b36.sail_in22k_ft_in1k_384	98.440	1.560	99.800	0.200	98.75	384	1.000	bicubic
31	convnext_xxlarge.clip_laion2b_soup_ft_in1k	98.440	1.560	99.800	0.200	846.47	256	1.000	bicubic
32	convnext_xlarge.fb_in22k_ft_in1k_384	98.420	1.580	99.810	0.190	350.20	384	1.000	bicubic
33	vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k	98.420	1.580	99.810	0.190	632.46	336	1.000	bicubic
34	eva_large_patch14_196.in22k_ft_in22k_in1k	98.420	1.580	99.770	0.230	304.14	196	1.000	bicubic
35	convnextv2_large.fcmae_ft_in22k_in1k_384	98.400	1.600	99.760	0.240	197.96	384	1.000	bicubic
36	eva_large_patch14_196.in22k_ft_in1k	98.360	1.640	99.820	0.180	304.14	196	1.000	bicubic
37	convnextv2_base.fcmae_ft_in22k_in1k_384	98.350	1.650	99.770	0.230	88.72	384	1.000	bicubic
38	vit_large_patch14_clip_336.laion2b_ft_in12k_in1k	98.340	1.660	99.760	0.240	304.53	336	1.000	bicubic
39	vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k	98.300	1.700	99.760	0.240	632.05	224	1.000	bicubic
40	convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320	98.280	1.720	99.770	0.230	200.13	320	1.000	bicubic
41	convformer_b36.sail_in22k_ft_in1k_384	98.260	1.740	99.830	0.170	99.88	384	1.000	bicubic
42	maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k	98.260	1.740	99.780	0.220	116.09	384	1.000	bicubic
43	vit_large_patch14_clip_336.openai_ft_in12k_in1k	98.260	1.740	99.770	0.230	304.53	336	1.000	bicubic
44	convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384	98.250	1.750	99.760	0.240	200.13	384	1.000	bicubic
45	convnext_large.fb_in22k_ft_in1k_384	98.240	1.760	99.750	0.250	197.77	384	1.000	bicubic
46	vit_large_patch16_384.augreg_in21k_ft_in1k	98.220	1.780	99.800	0.200	304.72	384	1.000	bicubic
47	vit_large_patch14_clip_224.openai_ft_in12k_in1k	98.220	1.780	99.720	0.280	304.20	224	1.000	bicubic
48	vit_large_patch14_clip_336.laion2b_ft_in1k	98.220	1.780	99.720	0.280	304.53	336	1.000	bicubic
49	seresnextaa201d_32x8d.sw_in12k_ft_in1k_384	98.210	1.790	99.780	0.220	149.39	384	1.000	bicubic
50	vit_base_patch16_clip_384.openai_ft_in12k_in1k	98.190	1.810	99.660	0.340	86.86	384	0.950	bicubic
51	beit_large_patch16_224.in22k_ft_in22k_in1k	98.180	1.820	99.760	0.240	304.43	224	0.900	bicubic
52	deit3_large_patch16_224.fb_in22k_ft_in1k	98.170	1.830	99.760	0.240	304.37	224	1.000	bicubic
53	maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k	98.170	1.830	99.760	0.240	116.14	384	1.000	bicubic
54	deit3_huge_patch14_224.fb_in22k_ft_in1k	98.170	1.830	99.730	0.270	632.13	224	1.000	bicubic
55	caformer_b36.sail_in22k_ft_in1k	98.160	1.840	99.780	0.220	98.75	224	1.000	bicubic
56	vit_large_patch14_clip_224.openai_ft_in1k	98.160	1.840	99.660	0.340	304.20	224	1.000	bicubic
57	caformer_m36.sail_in22k_ft_in1k_384	98.150	1.850	99.750	0.250	56.20	384	1.000	bicubic
58	swinv2_large_window12to24_192to384.ms_in22k_ft_in1k	98.130	1.870	99.710	0.290	196.74	384	1.000	bicubic
59	swinv2_base_window12to24_192to384.ms_in22k_ft_in1k	98.120	1.880	99.780	0.220	87.92	384	1.000	bicubic
60	convnext_large.fb_in22k_ft_in1k	98.120	1.880	99.740	0.260	197.77	288	1.000	bicubic
61	convnext_xlarge.fb_in22k_ft_in1k	98.110	1.890	99.780	0.220	350.20	288	1.000	bicubic
62	convnextv2_large.fcmae_ft_in22k_in1k	98.090	1.910	99.770	0.230	197.96	288	1.000	bicubic
63	vit_large_patch14_clip_224.laion2b_ft_in12k_in1k	98.080	1.920	99.760	0.240	304.20	224	1.000	bicubic
64	convnext_base.fb_in22k_ft_in1k_384	98.080	1.920	99.650	0.350	88.59	384	1.000	bicubic
65	coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k	98.070	1.930	99.720	0.280	73.88	384	1.000	bicubic
66	regnety_320.swag_ft_in1k	98.060	1.940	99.860	0.140	145.05	384	1.000	bicubic
67	convnextv2_base.fcmae_ft_in22k_in1k	98.060	1.940	99.760	0.240	88.72	288	1.000	bicubic
68	swin_large_patch4_window12_384.ms_in22k_ft_in1k	98.050	1.950	99.690	0.310	196.74	384	1.000	bicubic
69	convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384	98.040	1.960	99.750	0.250	88.59	384	1.000	bicubic
70	convformer_m36.sail_in22k_ft_in1k_384	98.040	1.960	99.690	0.310	57.05	384	1.000	bicubic
71	vit_huge_patch14_clip_224.laion2b_ft_in1k	98.020	1.980	99.720	0.280	632.05	224	1.000	bicubic
72	vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	97.990	2.010	99.660	0.340	86.86	384	1.000	bicubic
73	caformer_s36.sail_in22k_ft_in1k_384	97.970	2.030	99.720	0.280	39.30	384	1.000	bicubic
74	seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	97.970	2.030	99.700	0.300	93.59	320	1.000	bicubic
75	convnext_large_mlp.clip_laion2b_augreg_ft_in1k	97.950	2.050	99.710	0.290	200.13	256	1.000	bicubic
76	convformer_b36.sail_in22k_ft_in1k	97.940	2.060	99.760	0.240	99.88	224	1.000	bicubic
77	tf_efficientnet_b7.ns_jft_in1k	97.920	2.080	99.720	0.280	66.35	600	0.949	bicubic
78	beitv2_large_patch16_224.in1k_ft_in1k	97.910	2.090	99.660	0.340	304.43	224	0.950	bicubic
79	seresnextaa101d_32x8d.sw_in12k_ft_in1k	97.910	2.090	99.660	0.340	93.59	288	1.000	bicubic
80	swin_base_patch4_window12_384.ms_in22k_ft_in1k	97.900	2.100	99.710	0.290	87.90	384	1.000	bicubic
81	convnextv2_huge.fcmae_ft_in1k	97.900	2.100	99.670	0.330	660.29	288	1.000	bicubic
82	tf_efficientnetv2_xl.in21k_ft_in1k	97.900	2.100	99.570	0.430	208.12	512	1.000	bicubic
83	vit_large_patch14_clip_224.laion2b_ft_in1k	97.890	2.110	99.650	0.350	304.20	224	1.000	bicubic
84	tiny_vit_21m_512.dist_in22k_ft_in1k	97.870	2.130	99.630	0.370	21.27	512	1.000	bicubic
85	convnext_base.fb_in22k_ft_in1k	97.860	2.140	99.680	0.320	88.59	288	1.000	bicubic
86	vit_large_r50_s32_384.augreg_in21k_ft_in1k	97.860	2.140	99.670	0.330	329.09	384	1.000	bicubic
87	swinv2_large_window12to16_192to256.ms_in22k_ft_in1k	97.850	2.150	99.650	0.350	196.74	256	0.900	bicubic
88	convformer_s36.sail_in22k_ft_in1k_384	97.850	2.150	99.640	0.360	40.01	384	1.000	bicubic
89	deit3_base_patch16_384.fb_in22k_ft_in1k	97.840	2.160	99.680	0.320	86.88	384	1.000	bicubic
90	caformer_m36.sail_in22k_ft_in1k	97.840	2.160	99.670	0.330	56.20	224	1.000	bicubic
91	vit_base_patch16_384.augreg_in21k_ft_in1k	97.840	2.160	99.670	0.330	86.86	384	1.000	bicubic
92	maxvit_large_tf_512.in1k	97.830	2.170	99.560	0.440	212.33	512	1.000	bicubic
93	beit_base_patch16_384.in22k_ft_in22k_in1k	97.820	2.180	99.700	0.300	86.74	384	1.000	bicubic
94	tf_efficientnetv2_m.in21k_ft_in1k	97.820	2.180	99.600	0.400	54.14	480	1.000	bicubic
95	maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k	97.810	2.190	99.650	0.350	116.14	224	0.950	bicubic
96	tf_efficientnetv2_l.in21k_ft_in1k	97.800	2.200	99.770	0.230	118.52	480	1.000	bicubic
97	convnext_small.in12k_ft_in1k_384	97.800	2.200	99.660	0.340	50.22	384	1.000	bicubic
98	regnety_160.swag_ft_in1k	97.780	2.220	99.760	0.240	83.59	384	1.000	bicubic
99	dm_nfnet_f6.dm_in1k	97.780	2.220	99.650	0.350	438.36	576	0.956	bicubic
100	dm_nfnet_f5.dm_in1k	97.780	2.220	99.600	0.400	377.21	544	0.954	bicubic
101	volo_d5_512.sail_in1k	97.770	2.230	99.670	0.330	296.09	512	1.150	bicubic
102	maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k	97.760	2.240	99.700	0.300	116.09	224	0.950	bicubic
103	volo_d5_448.sail_in1k	97.750	2.250	99.620	0.380	295.91	448	1.150	bicubic
104	maxvit_small_tf_512.in1k	97.750	2.250	99.550	0.450	69.13	512	1.000	bicubic
105	maxvit_base_tf_512.in1k	97.730	2.270	99.610	0.390	119.88	512	1.000	bicubic
106	vit_base_patch16_clip_384.laion2b_ft_in1k	97.720	2.280	99.630	0.370	86.86	384	1.000	bicubic
107	beitv2_base_patch16_224.in1k_ft_in22k_in1k	97.690	2.310	99.680	0.320	86.53	224	0.900	bicubic
108	vit_base_patch8_224.augreg2_in21k_ft_in1k	97.690	2.310	99.650	0.350	86.58	224	0.900	bicubic
109	volo_d4_448.sail_in1k	97.670	2.330	99.610	0.390	193.41	448	1.150	bicubic
110	swinv2_base_window12to16_192to256.ms_in22k_ft_in1k	97.660	2.340	99.720	0.280	87.92	256	0.900	bicubic
111	convnextv2_large.fcmae_ft_in1k	97.660	2.340	99.610	0.390	197.96	288	1.000	bicubic
112	regnety_1280.swag_lc_in1k	97.650	2.350	99.640	0.360	644.81	224	0.965	bicubic
113	coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k	97.650	2.350	99.570	0.430	73.88	224	0.950	bicubic
114	swin_large_patch4_window7_224.ms_in22k_ft_in1k	97.650	2.350	99.570	0.430	196.53	224	0.900	bicubic
115	dm_nfnet_f4.dm_in1k	97.640	2.360	99.540	0.460	316.07	512	0.951	bicubic
116	vit_large_patch16_224.augreg_in21k_ft_in1k	97.630	2.370	99.590	0.410	304.33	224	0.900	bicubic
117	tf_efficientnet_b6.ns_jft_in1k	97.620	2.380	99.580	0.420	43.04	528	0.942	bicubic
118	convnext_base.clip_laiona_augreg_ft_in1k_384	97.620	2.380	99.550	0.450	88.59	384	1.000	bicubic
119	convnext_small.fb_in22k_ft_in1k_384	97.610	2.390	99.600	0.400	50.22	384	1.000	bicubic
120	tiny_vit_21m_384.dist_in22k_ft_in1k	97.610	2.390	99.590	0.410	21.23	384	1.000	bicubic
121	convnext_base.clip_laion2b_augreg_ft_in12k_in1k	97.600	2.400	99.720	0.280	88.59	256	1.000	bicubic
122	convformer_m36.sail_in22k_ft_in1k	97.600	2.400	99.620	0.380	57.05	224	1.000	bicubic
123	caformer_s36.sail_in22k_ft_in1k	97.600	2.400	99.610	0.390	39.30	224	1.000	bicubic
124	maxvit_tiny_tf_512.in1k	97.580	2.420	99.560	0.440	31.05	512	1.000	bicubic
125	vit_base_patch8_224.augreg_in21k_ft_in1k	97.570	2.430	99.670	0.330	86.58	224	0.900	bicubic
126	maxvit_base_tf_384.in1k	97.570	2.430	99.590	0.410	119.65	384	1.000	bicubic
127	maxvit_large_tf_384.in1k	97.570	2.430	99.530	0.470	212.03	384	1.000	bicubic
128	volo_d3_448.sail_in1k	97.550	2.450	99.560	0.440	86.63	448	1.000	bicubic
129	vit_base_patch16_clip_384.openai_ft_in1k	97.540	2.460	99.660	0.340	86.86	384	1.000	bicubic
130	convformer_b36.sail_in1k_384	97.530	2.470	99.520	0.480	99.88	384	1.000	bicubic
131	vit_base_patch16_clip_224.openai_ft_in12k_in1k	97.530	2.470	99.500	0.500	86.57	224	0.950	bicubic
132	coatnet_2_rw_224.sw_in12k_ft_in1k	97.520	2.480	99.600	0.400	73.87	224	0.950	bicubic
133	xcit_large_24_p8_384.fb_dist_in1k	97.520	2.480	99.540	0.460	188.93	384	1.000	bicubic
134	xcit_large_24_p16_384.fb_dist_in1k	97.520	2.480	99.480	0.520	189.10	384	1.000	bicubic
135	tf_efficientnet_b5.ns_jft_in1k	97.500	2.500	99.640	0.360	30.39	456	0.934	bicubic
136	caformer_b36.sail_in1k_384	97.500	2.500	99.580	0.420	98.75	384	1.000	bicubic
137	resnetv2_152x4_bit.goog_in21k_ft_in1k	97.490	2.510	99.610	0.390	936.53	480	1.000	bilinear
138	deit3_base_patch16_224.fb_in22k_ft_in1k	97.480	2.520	99.600	0.400	86.59	224	1.000	bicubic
139	cait_m48_448.fb_dist_in1k	97.480	2.520	99.550	0.450	356.46	448	1.000	bicubic
140	dm_nfnet_f3.dm_in1k	97.470	2.530	99.560	0.440	254.92	416	0.940	bicubic
141	tf_efficientnetv2_l.in1k	97.470	2.530	99.530	0.470	118.52	480	1.000	bicubic
142	regnety_160.lion_in12k_ft_in1k	97.450	2.550	99.600	0.400	83.59	288	1.000	bicubic
143	regnety_160.sw_in12k_ft_in1k	97.450	2.550	99.590	0.410	83.59	288	1.000	bicubic
144	vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	97.450	2.550	99.540	0.460	86.57	224	0.950	bicubic
145	vit_medium_patch16_gap_384.sw_in12k_ft_in1k	97.440	2.560	99.640	0.360	39.03	384	0.950	bicubic
146	caformer_m36.sail_in1k_384	97.440	2.560	99.600	0.400	56.20	384	1.000	bicubic
147	maxvit_small_tf_384.in1k	97.430	2.570	99.510	0.490	69.02	384	1.000	bicubic
148	deit3_large_patch16_384.fb_in1k	97.420	2.580	99.620	0.380	304.76	384	1.000	bicubic
149	caformer_s18.sail_in22k_ft_in1k_384	97.420	2.580	99.570	0.430	26.34	384	1.000	bicubic
150	flexivit_large.1200ep_in1k	97.410	2.590	99.600	0.400	304.36	240	0.950	bicubic
151	efficientnet_b5.sw_in12k_ft_in1k	97.410	2.590	99.550	0.450	30.39	448	1.000	bicubic
152	convformer_m36.sail_in1k_384	97.410	2.590	99.470	0.530	57.05	384	1.000	bicubic
153	cait_m36_384.fb_dist_in1k	97.400	2.600	99.510	0.490	271.22	384	1.000	bicubic
154	caformer_s36.sail_in1k_384	97.390	2.610	99.540	0.460	39.30	384	1.000	bicubic
155	volo_d5_224.sail_in1k	97.380	2.620	99.570	0.430	295.46	224	0.960	bicubic
156	resnext101_32x32d.fb_wsl_ig1b_ft_in1k	97.370	2.630	99.680	0.320	468.53	224	0.875	bilinear
157	convnext_small.fb_in22k_ft_in1k	97.360	2.640	99.530	0.470	50.22	288	1.000	bicubic
158	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	97.360	2.640	99.520	0.480	88.30	384	1.000	bicubic
159	convnext_small.in12k_ft_in1k	97.350	2.650	99.580	0.420	50.22	288	1.000	bicubic
160	convnext_tiny.in12k_ft_in1k_384	97.340	2.660	99.600	0.400	28.59	384	1.000	bicubic
161	cait_s36_384.fb_dist_in1k	97.330	2.670	99.540	0.460	68.37	384	1.000	bicubic
162	volo_d2_384.sail_in1k	97.320	2.680	99.600	0.400	58.87	384	1.000	bicubic
163	maxvit_tiny_tf_384.in1k	97.310	2.690	99.500	0.500	30.98	384	1.000	bicubic
164	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	97.310	2.690	99.480	0.520	88.34	448	1.000	bicubic
165	flexivit_large.600ep_in1k	97.280	2.720	99.590	0.410	304.36	240	0.950	bicubic
166	swin_base_patch4_window7_224.ms_in22k_ft_in1k	97.280	2.720	99.540	0.460	87.77	224	0.900	bicubic
167	regnety_120.sw_in12k_ft_in1k	97.280	2.720	99.530	0.470	51.82	288	1.000	bicubic
168	volo_d4_224.sail_in1k	97.280	2.720	99.520	0.480	192.96	224	0.960	bicubic
169	xcit_medium_24_p8_384.fb_dist_in1k	97.280	2.720	99.510	0.490	84.32	384	1.000	bicubic
170	xcit_medium_24_p16_384.fb_dist_in1k	97.280	2.720	99.470	0.530	84.40	384	1.000	bicubic
171	convformer_s36.sail_in1k_384	97.280	2.720	99.430	0.570	40.01	384	1.000	bicubic
172	convformer_s18.sail_in22k_ft_in1k_384	97.270	2.730	99.550	0.450	26.77	384	1.000	bicubic
173	inception_next_base.sail_in1k_384	97.260	2.740	99.490	0.510	86.67	384	1.000	bicubic
174	flexivit_large.300ep_in1k	97.250	2.750	99.490	0.510	304.36	240	0.950	bicubic
175	xcit_small_24_p8_384.fb_dist_in1k	97.240	2.760	99.610	0.390	47.63	384	1.000	bicubic
176	convnext_base.clip_laion2b_augreg_ft_in1k	97.240	2.760	99.550	0.450	88.59	256	1.000	bicubic
177	convnextv2_tiny.fcmae_ft_in22k_in1k_384	97.240	2.760	99.520	0.480	28.64	384	1.000	bicubic
178	xcit_small_12_p8_384.fb_dist_in1k	97.230	2.770	99.480	0.520	26.21	384	1.000	bicubic
179	convnextv2_base.fcmae_ft_in1k	97.220	2.780	99.540	0.460	88.72	288	1.000	bicubic
180	regnety_2560.seer_ft_in1k	97.220	2.780	99.520	0.480	1,282.60	384	1.000	bicubic
181	resnext101_32x8d.fb_swsl_ig1b_ft_in1k	97.210	2.790	99.570	0.430	88.79	224	0.875	bilinear
182	tf_efficientnetv2_m.in1k	97.210	2.790	99.530	0.470	54.14	480	1.000	bicubic
183	tf_efficientnet_b7.ap_in1k	97.200	2.800	99.540	0.460	66.35	600	0.949	bicubic
184	regnetz_e8.ra3_in1k	97.200	2.800	99.500	0.500	57.70	320	1.000	bicubic
185	tf_efficientnet_b8.ra_in1k	97.200	2.800	99.500	0.500	87.41	672	0.954	bicubic
186	tiny_vit_21m_224.dist_in22k_ft_in1k	97.200	2.800	99.490	0.510	21.20	224	0.950	bicubic
187	vit_base_r50_s16_384.orig_in21k_ft_in1k	97.190	2.810	99.560	0.440	98.95	384	1.000	bicubic
188	beitv2_base_patch16_224.in1k_ft_in1k	97.170	2.830	99.470	0.530	86.53	224	0.900	bicubic
189	regnety_320.swag_lc_in1k	97.160	2.840	99.670	0.330	145.05	224	0.965	bicubic
190	vit_base_patch16_224.augreg2_in21k_ft_in1k	97.150	2.850	99.540	0.460	86.57	224	0.900	bicubic
191	coat_lite_medium_384.in1k	97.150	2.850	99.450	0.550	44.57	384	1.000	bicubic
192	eva02_small_patch14_336.mim_in22k_ft_in1k	97.140	2.860	99.470	0.530	22.13	336	1.000	bicubic
193	deit3_small_patch16_384.fb_in22k_ft_in1k	97.130	2.870	99.510	0.490	22.21	384	1.000	bicubic
194	vit_base_patch16_clip_224.laion2b_ft_in1k	97.130	2.870	99.460	0.540	86.57	224	1.000	bicubic
195	xcit_small_24_p16_384.fb_dist_in1k	97.120	2.880	99.450	0.550	47.67	384	1.000	bicubic
196	tf_efficientnet_b8.ap_in1k	97.110	2.890	99.660	0.340	87.41	672	0.954	bicubic
197	dm_nfnet_f2.dm_in1k	97.110	2.890	99.510	0.490	193.78	352	0.920	bicubic
198	vit_base_patch32_clip_384.openai_ft_in12k_in1k	97.110	2.890	99.500	0.500	88.30	384	0.950	bicubic
199	convnext_large.fb_in1k	97.100	2.900	99.450	0.550	197.77	288	1.000	bicubic
200	ecaresnet269d.ra2_in1k	97.090	2.910	99.470	0.530	102.09	352	1.000	bicubic
201	volo_d3_224.sail_in1k	97.090	2.910	99.470	0.530	86.33	224	0.960	bicubic
202	beit_base_patch16_224.in22k_ft_in22k_in1k	97.080	2.920	99.610	0.390	86.53	224	0.900	bicubic
203	tf_efficientnet_b6.ap_in1k	97.080	2.920	99.610	0.390	43.04	528	0.942	bicubic
204	convformer_s36.sail_in22k_ft_in1k	97.080	2.920	99.560	0.440	40.01	224	1.000	bicubic
205	convnext_tiny.fb_in22k_ft_in1k_384	97.080	2.920	99.510	0.490	28.59	384	1.000	bicubic
206	eca_nfnet_l2.ra3_in1k	97.080	2.920	99.510	0.490	56.72	384	1.000	bicubic
207	vit_base_patch16_clip_224.openai_ft_in1k	97.080	2.920	99.490	0.510	86.57	224	0.900	bicubic
208	caformer_s18.sail_in1k_384	97.080	2.920	99.420	0.580	26.34	384	1.000	bicubic
209	cait_s24_384.fb_dist_in1k	97.070	2.930	99.430	0.570	47.06	384	1.000	bicubic
210	xcit_large_24_p8_224.fb_dist_in1k	97.070	2.930	99.420	0.580	188.93	224	1.000	bicubic
211	convnext_tiny.in12k_ft_in1k	97.060	2.940	99.550	0.450	28.59	288	1.000	bicubic
212	deit3_base_patch16_384.fb_in1k	97.040	2.960	99.390	0.610	86.88	384	1.000	bicubic
213	convformer_s18.sail_in1k_384	97.040	2.960	99.380	0.620	26.77	384	1.000	bicubic
214	hrnet_w48_ssld.paddle_in1k	97.030	2.970	99.640	0.360	77.47	288	1.000	bilinear
215	dm_nfnet_f1.dm_in1k	97.030	2.970	99.390	0.610	132.63	320	0.910	bicubic
216	resnetv2_152x2_bit.goog_in21k_ft_in1k	97.000	3.000	99.590	0.410	236.34	448	1.000	bilinear
217	tf_efficientnet_b7.ra_in1k	97.000	3.000	99.520	0.480	66.35	600	0.949	bicubic
218	volo_d2_224.sail_in1k	97.000	3.000	99.390	0.610	58.68	224	0.960	bicubic
219	efficientnetv2_rw_m.agc_in1k	96.980	3.020	99.530	0.470	53.24	416	1.000	bicubic
220	resnetv2_101x3_bit.goog_in21k_ft_in1k	96.980	3.020	99.490	0.510	387.93	448	1.000	bilinear
221	caformer_b36.sail_in1k	96.980	3.020	99.340	0.660	98.75	224	1.000	bicubic
222	deit3_medium_patch16_224.fb_in22k_ft_in1k	96.970	3.030	99.430	0.570	38.85	224	1.000	bicubic
223	deit_base_distilled_patch16_384.fb_in1k	96.960	3.040	99.480	0.520	87.63	384	1.000	bicubic
224	seresnextaa101d_32x8d.ah_in1k	96.960	3.040	99.390	0.610	93.59	288	1.000	bicubic
225	maxvit_large_tf_224.in1k	96.960	3.040	99.250	0.750	211.79	224	0.950	bicubic
226	tf_efficientnet_b4.ns_jft_in1k	96.950	3.050	99.580	0.420	19.34	380	0.922	bicubic
227	maxvit_base_tf_224.in1k	96.950	3.050	99.260	0.740	119.47	224	0.950	bicubic
228	deit3_large_patch16_224.fb_in1k	96.940	3.060	99.340	0.660	304.37	224	0.900	bicubic
229	davit_base.msft_in1k	96.940	3.060	99.260	0.740	87.95	224	0.950	bicubic
230	mvitv2_large.fb_in1k	96.930	3.070	99.400	0.600	217.99	224	0.900	bicubic
231	xcit_small_12_p16_384.fb_dist_in1k	96.920	3.080	99.400	0.600	26.25	384	1.000	bicubic
232	xcit_medium_24_p8_224.fb_dist_in1k	96.920	3.080	99.390	0.610	84.32	224	1.000	bicubic
233	volo_d1_384.sail_in1k	96.910	3.090	99.520	0.480	26.78	384	1.000	bicubic
234	resnetrs420.tf_in1k	96.910	3.090	99.460	0.540	191.89	416	1.000	bicubic
235	deit3_huge_patch14_224.fb_in1k	96.900	3.100	99.480	0.520	632.13	224	0.900	bicubic
236	convformer_b36.sail_in1k	96.900	3.100	99.220	0.780	99.88	224	1.000	bicubic
237	caformer_m36.sail_in1k	96.890	3.110	99.430	0.570	56.20	224	1.000	bicubic
238	vit_base_patch16_224.augreg_in21k_ft_in1k	96.880	3.120	99.530	0.470	86.57	224	0.900	bicubic
239	xcit_small_24_p8_224.fb_dist_in1k	96.870	3.130	99.480	0.520	47.63	224	1.000	bicubic
240	regnety_1280.seer_ft_in1k	96.860	3.140	99.390	0.610	644.81	384	1.000	bicubic
241	convnextv2_tiny.fcmae_ft_in22k_in1k	96.850	3.150	99.460	0.540	28.64	288	1.000	bicubic
242	regnety_640.seer_ft_in1k	96.850	3.150	99.420	0.580	281.38	384	1.000	bicubic
243	rexnetr_300.sw_in12k_ft_in1k	96.840	3.160	99.510	0.490	34.81	288	1.000	bicubic
244	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	96.830	3.170	99.450	0.550	236.34	384	1.000	bicubic
245	convnext_base.fb_in1k	96.830	3.170	99.410	0.590	88.59	288	1.000	bicubic
246	regnety_160.swag_lc_in1k	96.820	3.180	99.650	0.350	83.59	224	0.965	bicubic
247	resnext101_32x16d.fb_wsl_ig1b_ft_in1k	96.810	3.190	99.600	0.400	194.03	224	0.875	bilinear
248	maxxvit_rmlp_small_rw_256.sw_in1k	96.800	3.200	99.380	0.620	66.01	256	0.950	bicubic
249	xcit_large_24_p16_224.fb_dist_in1k	96.800	3.200	99.350	0.650	189.10	224	1.000	bicubic
250	vit_large_r50_s32_224.augreg_in21k_ft_in1k	96.790	3.210	99.340	0.660	328.99	224	0.900	bicubic
251	fastvit_ma36.apple_dist_in1k	96.780	3.220	99.330	0.670	44.07	256	0.950	bicubic
252	seresnet152d.ra2_in1k	96.770	3.230	99.440	0.560	66.84	320	1.000	bicubic
253	seresnext101_32x8d.ah_in1k	96.770	3.230	99.350	0.650	93.57	288	1.000	bicubic
254	mvitv2_base.fb_in1k	96.760	3.240	99.260	0.740	51.47	224	0.900	bicubic
255	resnetrs350.tf_in1k	96.750	3.250	99.370	0.630	163.96	384	1.000	bicubic
256	swinv2_base_window16_256.ms_in1k	96.750	3.250	99.350	0.650	87.92	256	0.900	bicubic
257	flexivit_base.1200ep_in1k	96.740	3.260	99.360	0.640	86.59	240	0.950	bicubic
258	edgenext_base.in21k_ft_in1k	96.730	3.270	99.420	0.580	18.51	320	1.000	bicubic
259	tf_efficientnetv2_s.in21k_ft_in1k	96.730	3.270	99.420	0.580	21.46	384	1.000	bicubic
260	resnet200d.ra2_in1k	96.730	3.270	99.330	0.670	64.69	320	1.000	bicubic
261	vit_base_patch16_384.orig_in21k_ft_in1k	96.720	3.280	99.500	0.500	86.86	384	1.000	bicubic
262	regnetz_040.ra3_in1k	96.720	3.280	99.480	0.520	27.12	320	1.000	bicubic
263	resnetv2_50x3_bit.goog_in21k_ft_in1k	96.710	3.290	99.550	0.450	217.32	448	1.000	bilinear
264	caformer_s18.sail_in22k_ft_in1k	96.710	3.290	99.490	0.510	26.34	224	1.000	bicubic
265	regnetz_040_h.ra3_in1k	96.700	3.300	99.500	0.500	28.94	320	1.000	bicubic
266	vit_small_patch16_384.augreg_in21k_ft_in1k	96.700	3.300	99.480	0.520	22.20	384	1.000	bicubic
267	edgenext_base.usi_in1k	96.700	3.300	99.430	0.570	18.51	320	1.000	bicubic
268	xcit_small_12_p8_224.fb_dist_in1k	96.700	3.300	99.380	0.620	26.21	224	1.000	bicubic
269	resnetrs200.tf_in1k	96.700	3.300	99.370	0.630	93.21	320	1.000	bicubic
270	resnetaa101d.sw_in12k_ft_in1k	96.700	3.300	99.360	0.640	44.57	288	1.000	bicubic
271	seresnext101d_32x8d.ah_in1k	96.700	3.300	99.360	0.640	93.59	288	1.000	bicubic
272	eca_nfnet_l1.ra2_in1k	96.700	3.300	99.290	0.710	41.41	320	1.000	bicubic
273	repvgg_d2se.rvgg_in1k	96.690	3.310	99.370	0.630	133.33	320	1.000	bilinear
274	caformer_s36.sail_in1k	96.690	3.310	99.360	0.640	39.30	224	1.000	bicubic
275	maxvit_small_tf_224.in1k	96.690	3.310	99.360	0.640	68.93	224	0.950	bicubic
276	resnetrs270.tf_in1k	96.690	3.310	99.350	0.650	129.86	352	1.000	bicubic
277	vit_small_r26_s32_384.augreg_in21k_ft_in1k	96.680	3.320	99.580	0.420	36.47	384	1.000	bicubic
278	tf_efficientnet_b5.ap_in1k	96.680	3.320	99.460	0.540	30.39	456	0.934	bicubic
279	convformer_m36.sail_in1k	96.680	3.320	99.080	0.920	57.05	224	1.000	bicubic
280	vit_medium_patch16_gap_256.sw_in12k_ft_in1k	96.670	3.330	99.490	0.510	38.86	256	0.950	bicubic
281	tf_efficientnet_b6.aa_in1k	96.670	3.330	99.370	0.630	43.04	528	0.942	bicubic
282	deit3_small_patch16_224.fb_in22k_ft_in1k	96.660	3.340	99.330	0.670	22.06	224	1.000	bicubic
283	flexivit_base.600ep_in1k	96.650	3.350	99.330	0.670	86.59	240	0.950	bicubic
284	davit_small.msft_in1k	96.630	3.370	99.350	0.650	49.75	224	0.950	bicubic
285	convformer_s18.sail_in22k_ft_in1k	96.630	3.370	99.340	0.660	26.77	224	1.000	bicubic
286	efficientvit_b3.r288_in1k	96.630	3.370	99.220	0.780	48.65	288	1.000	bicubic
287	coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k	96.630	3.370	99.160	0.840	41.72	224	0.950	bicubic
288	resmlp_big_24_224.fb_in22k_ft_in1k	96.620	3.380	99.510	0.490	129.14	224	0.875	bicubic
289	regnetz_d8.ra3_in1k	96.620	3.380	99.450	0.550	23.37	320	1.000	bicubic
290	resnest200e.in1k	96.610	3.390	99.350	0.650	70.20	320	0.909	bicubic
291	resnext101_32x16d.fb_swsl_ig1b_ft_in1k	96.600	3.400	99.530	0.470	194.03	224	0.875	bilinear
292	flexivit_base.300ep_in1k	96.600	3.400	99.270	0.730	86.59	240	0.950	bicubic
293	xcit_medium_24_p16_224.fb_dist_in1k	96.600	3.400	99.270	0.730	84.40	224	1.000	bicubic
294	regnetz_d32.ra3_in1k	96.590	3.410	99.380	0.620	27.58	320	0.950	bicubic
295	swin_base_patch4_window12_384.ms_in1k	96.580	3.420	99.250	0.750	87.90	384	1.000	bicubic
296	resnetrs152.tf_in1k	96.580	3.420	99.240	0.760	86.62	320	1.000	bicubic
297	convformer_s36.sail_in1k	96.580	3.420	99.170	0.830	40.01	224	1.000	bicubic
298	maxvit_rmlp_small_rw_224.sw_in1k	96.580	3.420	99.120	0.880	64.90	224	0.900	bicubic
299	regnetz_d8_evos.ch_in1k	96.570	3.430	99.460	0.540	23.46	320	1.000	bicubic
300	gcvit_base.in1k	96.560	3.440	99.230	0.770	90.32	224	0.875	bicubic
301	focalnet_base_srf.ms_in1k	96.560	3.440	99.150	0.850	88.15	224	0.900	bicubic
302	inception_next_base.sail_in1k	96.560	3.440	99.080	0.920	86.67	224	0.950	bicubic
303	cait_xs24_384.fb_dist_in1k	96.540	3.460	99.420	0.580	26.67	384	1.000	bicubic
304	efficientnetv2_rw_s.ra2_in1k	96.540	3.460	99.360	0.640	23.94	384	1.000	bicubic
305	tf_efficientnet_b7.aa_in1k	96.540	3.460	99.300	0.700	66.35	600	0.949	bicubic
306	crossvit_18_dagger_408.in1k	96.540	3.460	99.260	0.740	44.61	408	1.000	bicubic
307	coatnet_rmlp_2_rw_224.sw_in1k	96.540	3.460	99.100	0.900	73.88	224	0.950	bicubic
308	regnety_080.ra3_in1k	96.530	3.470	99.320	0.680	39.18	288	1.000	bicubic
309	xcit_tiny_24_p8_384.fb_dist_in1k	96.530	3.470	99.320	0.680	12.11	384	1.000	bicubic
310	swinv2_base_window8_256.ms_in1k	96.530	3.470	99.270	0.730	87.92	256	0.900	bicubic
311	convnext_small.fb_in1k	96.520	3.480	99.340	0.660	50.22	288	1.000	bicubic
312	resnest269e.in1k	96.510	3.490	99.350	0.650	110.93	416	0.928	bicubic
313	vit_base_patch32_384.augreg_in21k_ft_in1k	96.490	3.510	99.410	0.590	88.30	384	1.000	bicubic
314	swin_small_patch4_window7_224.ms_in22k_ft_in1k	96.480	3.520	99.390	0.610	49.61	224	0.900	bicubic
315	fastvit_ma36.apple_in1k	96.470	3.530	99.280	0.720	44.07	256	0.950	bicubic
316	tf_efficientnet_b5.aa_in1k	96.470	3.530	99.240	0.760	30.39	456	0.934	bicubic
317	swinv2_small_window16_256.ms_in1k	96.470	3.530	99.200	0.800	49.73	256	0.900	bicubic
318	coat_lite_medium.in1k	96.470	3.530	99.150	0.850	44.57	224	0.900	bicubic
319	cs3se_edgenet_x.c2ns_in1k	96.450	3.550	99.400	0.600	50.72	320	1.000	bicubic
320	resmlp_big_24_224.fb_distilled_in1k	96.450	3.550	99.310	0.690	129.14	224	0.875	bicubic
321	vit_base_patch16_224_miil.in21k_ft_in1k	96.450	3.550	99.300	0.700	86.54	224	0.875	bilinear
322	focalnet_base_lrf.ms_in1k	96.450	3.550	99.120	0.880	88.75	224	0.900	bicubic
323	resnext101_32x4d.fb_swsl_ig1b_ft_in1k	96.420	3.580	99.470	0.530	44.18	224	0.875	bilinear
324	maxvit_rmlp_tiny_rw_256.sw_in1k	96.420	3.580	99.380	0.620	29.15	256	0.950	bicubic
325	cait_s24_224.fb_dist_in1k	96.420	3.580	99.150	0.850	46.92	224	1.000	bicubic
326	regnetv_064.ra3_in1k	96.410	3.590	99.360	0.640	30.58	288	1.000	bicubic
327	xcit_small_24_p8_224.fb_in1k	96.410	3.590	99.150	0.850	47.63	224	1.000	bicubic
328	xcit_large_24_p8_224.fb_in1k	96.400	3.600	98.990	1.010	188.93	224	1.000	bicubic
329	resnet152d.ra2_in1k	96.390	3.610	99.390	0.610	60.21	320	1.000	bicubic
330	tf_efficientnet_b3.ns_jft_in1k	96.390	3.610	99.350	0.650	12.23	300	0.904	bicubic
331	crossvit_15_dagger_408.in1k	96.390	3.610	99.160	0.840	28.50	408	1.000	bicubic
332	convnextv2_nano.fcmae_ft_in22k_in1k_384	96.370	3.630	99.400	0.600	15.62	384	1.000	bicubic
333	mvitv2_small.fb_in1k	96.370	3.630	99.200	0.800	34.87	224	0.900	bicubic
334	xception65.ra3_in1k	96.360	3.640	99.240	0.760	39.92	299	0.940	bicubic
335	fastvit_sa36.apple_dist_in1k	96.360	3.640	99.230	0.770	31.53	256	0.900	bicubic
336	regnety_064.ra3_in1k	96.360	3.640	99.230	0.770	30.58	288	1.000	bicubic
337	pvt_v2_b5.in1k	96.360	3.640	99.170	0.830	81.96	224	0.900	bicubic
338	regnety_160.deit_in1k	96.350	3.650	99.330	0.670	83.59	288	1.000	bicubic
339	pvt_v2_b4.in1k	96.350	3.650	99.180	0.820	62.56	224	0.900	bicubic
340	regnety_320.seer_ft_in1k	96.340	3.660	99.350	0.650	145.05	384	1.000	bicubic
341	tf_efficientnet_b5.ra_in1k	96.340	3.660	99.310	0.690	30.39	456	0.934	bicubic
342	tf_efficientnetv2_s.in1k	96.340	3.660	99.200	0.800	21.46	384	1.000	bicubic
343	resnext101_32x8d.fb_wsl_ig1b_ft_in1k	96.330	3.670	99.430	0.570	88.79	224	0.875	bilinear
344	repvit_m2_3.dist_450e_in1k	96.330	3.670	99.400	0.600	23.69	224	0.950	bicubic
345	volo_d1_224.sail_in1k	96.320	3.680	99.310	0.690	26.63	224	0.960	bicubic
346	dm_nfnet_f0.dm_in1k	96.310	3.690	99.320	0.680	71.49	256	0.900	bicubic
347	deit3_base_patch16_224.fb_in1k	96.300	3.700	99.180	0.820	86.59	224	0.900	bicubic
348	resnet101d.ra2_in1k	96.290	3.710	99.230	0.770	44.57	320	1.000	bicubic
349	tiny_vit_11m_224.dist_in22k_ft_in1k	96.290	3.710	99.190	0.810	11.00	224	0.950	bicubic
350	efficientvit_b3.r256_in1k	96.290	3.710	99.120	0.880	48.65	256	1.000	bicubic
351	gcvit_small.in1k	96.280	3.720	99.140	0.860	51.09	224	0.875	bicubic
352	swinv2_small_window8_256.ms_in1k	96.270	3.730	99.210	0.790	49.73	256	0.900	bicubic
353	inception_next_small.sail_in1k	96.240	3.760	99.220	0.780	49.37	224	0.875	bicubic
354	nest_base_jx.goog_in1k	96.240	3.760	99.200	0.800	67.72	224	0.875	bicubic
355	fastvit_sa36.apple_in1k	96.240	3.760	99.190	0.810	31.53	256	0.900	bicubic
356	twins_svt_large.in1k	96.240	3.760	99.170	0.830	99.27	224	0.900	bicubic
357	swin_s3_base_224.ms_in1k	96.240	3.760	99.150	0.850	71.13	224	0.900	bicubic
358	maxvit_tiny_rw_224.sw_in1k	96.240	3.760	99.130	0.870	29.06	224	0.950	bicubic
359	pit_b_distilled_224.in1k	96.230	3.770	99.110	0.890	74.79	224	0.900	bicubic
360	swin_s3_small_224.ms_in1k	96.230	3.770	99.080	0.920	49.74	224	0.900	bicubic
361	ecaresnet101d.miil_in1k	96.220	3.780	99.310	0.690	44.57	288	0.950	bicubic
362	tf_efficientnetv2_b3.in21k_ft_in1k	96.220	3.780	99.230	0.770	14.36	300	0.900	bicubic
363	xcit_small_24_p16_224.fb_dist_in1k	96.220	3.780	99.210	0.790	47.67	224	1.000	bicubic
364	xception65p.ra3_in1k	96.210	3.790	99.180	0.820	39.82	299	0.940	bicubic
365	deit3_small_patch16_384.fb_in1k	96.200	3.800	99.290	0.710	22.21	384	1.000	bicubic
366	rexnetr_200.sw_in12k_ft_in1k	96.200	3.800	99.260	0.740	16.52	288	1.000	bicubic
367	resnet152.a1h_in1k	96.200	3.800	99.220	0.780	60.19	288	1.000	bicubic
368	regnetv_040.ra3_in1k	96.190	3.810	99.330	0.670	20.64	288	1.000	bicubic
369	convnextv2_tiny.fcmae_ft_in1k	96.190	3.810	99.250	0.750	28.64	288	1.000	bicubic
370	gcvit_tiny.in1k	96.180	3.820	99.230	0.770	28.22	224	0.875	bicubic
371	focalnet_small_lrf.ms_in1k	96.180	3.820	99.190	0.810	50.34	224	0.900	bicubic
372	swinv2_cr_small_ns_224.sw_in1k	96.180	3.820	99.140	0.860	49.70	224	0.900	bicubic
373	mobilevitv2_175.cvnets_in22k_ft_in1k_384	96.180	3.820	99.120	0.880	14.25	384	1.000	bicubic
374	tf_efficientnet_b4.ap_in1k	96.160	3.840	99.270	0.730	19.34	380	0.922	bicubic
375	tresnet_v2_l.miil_in21k_ft_in1k	96.160	3.840	99.240	0.760	46.17	224	0.875	bilinear
376	deit_base_patch16_384.fb_in1k	96.160	3.840	99.140	0.860	86.86	384	1.000	bicubic
377	twins_svt_base.in1k	96.160	3.840	99.050	0.950	56.07	224	0.900	bicubic
378	fastvit_sa24.apple_dist_in1k	96.150	3.850	99.210	0.790	21.55	256	0.900	bicubic
379	efficientnet_b4.ra2_in1k	96.150	3.850	99.190	0.810	19.34	384	1.000	bicubic
380	sequencer2d_l.in1k	96.150	3.850	99.160	0.840	54.30	224	0.875	bicubic
381	regnetz_c16_evos.ch_in1k	96.140	3.860	99.360	0.640	13.49	320	0.950	bicubic
382	twins_pcpvt_large.in1k	96.140	3.860	99.170	0.830	60.99	224	0.900	bicubic
383	caformer_s18.sail_in1k	96.140	3.860	99.000	1.000	26.34	224	1.000	bicubic
384	vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	96.130	3.870	99.220	0.780	88.22	224	0.900	bicubic
385	tiny_vit_21m_224.in1k	96.130	3.870	99.160	0.840	21.20	224	0.950	bicubic
386	repvit_m2_3.dist_300e_in1k	96.120	3.880	99.340	0.660	23.69	224	0.950	bicubic
387	resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	96.120	3.880	99.270	0.730	236.34	224	0.875	bicubic
388	nfnet_l0.ra2_in1k	96.120	3.880	99.240	0.760	35.07	288	1.000	bicubic
389	swin_base_patch4_window7_224.ms_in1k	96.120	3.880	99.060	0.940	87.77	224	0.900	bicubic
390	resnetv2_50x1_bit.goog_distilled_in1k	96.110	3.890	99.280	0.720	25.55	224	0.875	bicubic
391	efficientformer_l7.snap_dist_in1k	96.110	3.890	99.270	0.730	82.23	224	0.950	bicubic
392	xcit_small_12_p8_224.fb_in1k	96.110	3.890	99.160	0.840	26.21	224	1.000	bicubic
393	resnetv2_101x1_bit.goog_in21k_ft_in1k	96.100	3.900	99.280	0.720	44.54	448	1.000	bilinear
394	maxvit_tiny_tf_224.in1k	96.100	3.900	99.270	0.730	30.92	224	0.950	bicubic
395	deit_base_distilled_patch16_224.fb_in1k	96.090	3.910	99.190	0.810	87.34	224	0.900	bicubic
396	xcit_medium_24_p8_224.fb_in1k	96.090	3.910	98.890	1.110	84.32	224	1.000	bicubic
397	resnext101_64x4d.c1_in1k	96.080	3.920	99.240	0.760	83.46	288	1.000	bicubic
398	regnety_320.tv2_in1k	96.080	3.920	99.230	0.770	145.05	224	0.965	bicubic
399	deit3_medium_patch16_224.fb_in1k	96.080	3.920	99.200	0.800	38.85	224	0.900	bicubic
400	xcit_tiny_12_p8_384.fb_dist_in1k	96.080	3.920	99.140	0.860	6.71	384	1.000	bicubic
401	swinv2_cr_small_224.sw_in1k	96.080	3.920	98.860	1.140	49.70	224	0.900	bicubic
402	tf_efficientnet_b5.in1k	96.070	3.930	99.290	0.710	30.39	456	0.934	bicubic
403	efficientformerv2_l.snap_dist_in1k	96.070	3.930	99.190	0.810	26.32	224	0.950	bicubic
404	focalnet_small_srf.ms_in1k	96.070	3.930	99.120	0.880	49.89	224	0.900	bicubic
405	convnextv2_nano.fcmae_ft_in22k_in1k	96.060	3.940	99.220	0.780	15.62	288	1.000	bicubic
406	mobilevitv2_200.cvnets_in22k_ft_in1k_384	96.060	3.940	99.080	0.920	18.45	384	1.000	bicubic
407	resnetv2_101.a1h_in1k	96.050	3.950	99.170	0.830	44.54	288	1.000	bicubic
408	cs3edgenet_x.c2_in1k	96.050	3.950	99.140	0.860	47.82	288	1.000	bicubic
409	maxxvit_rmlp_nano_rw_256.sw_in1k	96.040	3.960	99.260	0.740	16.78	256	0.950	bicubic
410	resnext101_64x4d.tv_in1k	96.030	3.970	99.160	0.840	83.46	224	0.875	bilinear
411	xcit_small_12_p16_224.fb_dist_in1k	96.030	3.970	99.130	0.870	26.25	224	1.000	bicubic
412	coatnet_1_rw_224.sw_in1k	96.030	3.970	99.060	0.940	41.72	224	0.950	bicubic
413	efficientvit_b3.r224_in1k	96.030	3.970	98.990	1.010	48.65	224	0.950	bicubic
414	regnety_040.ra3_in1k	96.020	3.980	99.190	0.810	20.65	288	1.000	bicubic
415	resnet101.a1h_in1k	96.020	3.980	99.140	0.860	44.55	288	1.000	bicubic
416	cs3sedarknet_x.c2ns_in1k	96.020	3.980	99.110	0.890	35.40	288	1.000	bicubic
417	convnext_tiny_hnf.a2h_in1k	96.020	3.980	99.070	0.930	28.59	288	1.000	bicubic
418	hrnet_w18_ssld.paddle_in1k	95.990	4.010	99.320	0.680	21.30	288	1.000	bilinear
419	convnext_nano.in12k_ft_in1k	95.990	4.010	99.310	0.690	15.59	288	1.000	bicubic
420	pvt_v2_b3.in1k	95.990	4.010	99.190	0.810	45.24	224	0.900	bicubic
421	regnetx_320.tv2_in1k	95.990	4.010	99.100	0.900	107.81	224	0.965	bicubic
422	tresnet_xl.miil_in1k_448	95.980	4.020	99.130	0.870	78.44	448	0.875	bilinear
423	sequencer2d_s.in1k	95.980	4.020	99.050	0.950	27.65	224	0.875	bicubic
424	regnety_160.tv2_in1k	95.970	4.030	99.150	0.850	83.59	224	0.965	bicubic
425	nest_small_jx.goog_in1k	95.970	4.030	99.030	0.970	38.35	224	0.875	bicubic
426	maxvit_rmlp_nano_rw_256.sw_in1k	95.970	4.030	98.970	1.030	15.50	256	0.950	bicubic
427	efficientvit_b2.r288_in1k	95.960	4.040	99.190	0.810	24.33	288	1.000	bicubic
428	regnety_032.ra_in1k	95.960	4.040	99.190	0.810	19.44	288	1.000	bicubic
429	coatnet_rmlp_1_rw_224.sw_in1k	95.960	4.040	99.160	0.840	41.69	224	0.950	bicubic
430	resnext101_32x8d.tv2_in1k	95.950	4.050	99.080	0.920	88.79	224	0.965	bilinear
431	convformer_s18.sail_in1k	95.950	4.050	98.900	1.100	26.77	224	1.000	bicubic
432	xcit_tiny_24_p16_384.fb_dist_in1k	95.940	4.060	99.220	0.780	12.12	384	1.000	bicubic
433	eca_nfnet_l0.ra2_in1k	95.940	4.060	99.210	0.790	24.14	288	1.000	bicubic
434	regnetz_c16.ra3_in1k	95.940	4.060	99.110	0.890	13.46	320	1.000	bicubic
435	swinv2_tiny_window16_256.ms_in1k	95.930	4.070	99.150	0.850	28.35	256	0.900	bicubic
436	swin_small_patch4_window7_224.ms_in1k	95.930	4.070	99.020	0.980	49.61	224	0.900	bicubic
437	fastvit_sa24.apple_in1k	95.920	4.080	99.160	0.840	21.55	256	0.900	bicubic
438	maxvit_nano_rw_256.sw_in1k	95.920	4.080	99.010	0.990	15.45	256	0.950	bicubic
439	coat_small.in1k	95.910	4.090	99.150	0.850	21.69	224	0.900	bicubic
440	tf_efficientnet_b4.aa_in1k	95.900	4.100	99.170	0.830	19.34	380	0.922	bicubic
441	repvit_m1_5.dist_450e_in1k	95.900	4.100	99.120	0.880	14.64	224	0.950	bicubic
442	maxxvitv2_nano_rw_256.sw_in1k	95.900	4.100	99.050	0.950	23.70	256	0.950	bicubic
443	regnetx_160.tv2_in1k	95.880	4.120	99.090	0.910	54.28	224	0.965	bicubic
444	resnet51q.ra2_in1k	95.870	4.130	99.130	0.870	35.70	288	1.000	bilinear
445	resnext50_32x4d.fb_swsl_ig1b_ft_in1k	95.860	4.140	99.250	0.750	25.03	224	0.875	bilinear
446	resnest101e.in1k	95.860	4.140	99.200	0.800	48.28	256	0.875	bilinear
447	tresnet_l.miil_in1k_448	95.860	4.140	99.120	0.880	55.99	448	0.875	bilinear
448	regnety_080_tv.tv2_in1k	95.860	4.140	99.100	0.900	39.38	224	0.965	bicubic
449	mvitv2_tiny.fb_in1k	95.860	4.140	99.070	0.930	24.17	224	0.900	bicubic
450	cs3darknet_x.c2ns_in1k	95.850	4.150	99.170	0.830	35.05	288	1.000	bicubic
451	rexnet_300.nav_in1k	95.840	4.160	99.130	0.870	34.71	224	0.875	bicubic
452	resnetaa50d.sw_in12k_ft_in1k	95.830	4.170	99.170	0.830	25.58	288	1.000	bicubic
453	vit_large_patch32_384.orig_in21k_ft_in1k	95.830	4.170	99.150	0.850	306.63	384	1.000	bicubic
454	cait_xxs36_384.fb_dist_in1k	95.830	4.170	99.090	0.910	17.37	384	1.000	bicubic
455	tf_efficientnet_b4.in1k	95.820	4.180	99.050	0.950	19.34	380	0.922	bicubic
456	xcit_tiny_24_p8_224.fb_dist_in1k	95.810	4.190	99.210	0.790	12.11	224	1.000	bicubic
457	sequencer2d_m.in1k	95.810	4.190	99.110	0.890	38.31	224	0.875	bicubic
458	convnextv2_nano.fcmae_ft_in1k	95.800	4.200	99.090	0.910	15.62	288	1.000	bicubic
459	resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k	95.790	4.210	99.180	0.820	194.03	224	0.875	bilinear
460	convnext_tiny.fb_in1k	95.790	4.210	99.160	0.840	28.59	288	1.000	bicubic
461	twins_pcpvt_base.in1k	95.790	4.210	99.130	0.870	43.83	224	0.900	bicubic
462	resnet61q.ra2_in1k	95.780	4.220	98.990	1.010	36.85	288	1.000	bicubic
463	tf_efficientnet_b2.ns_jft_in1k	95.770	4.230	99.120	0.880	9.11	260	0.890	bicubic
464	vit_relpos_base_patch16_clsgap_224.sw_in1k	95.770	4.230	99.040	0.960	86.43	224	0.900	bicubic
465	poolformerv2_m48.sail_in1k	95.770	4.230	98.980	1.020	73.35	224	1.000	bicubic
466	ecaresnet101d_pruned.miil_in1k	95.760	4.240	99.180	0.820	24.88	288	0.950	bicubic
467	seresnext50_32x4d.racm_in1k	95.740	4.260	99.180	0.820	27.56	288	0.950	bicubic
468	gc_efficientnetv2_rw_t.agc_in1k	95.740	4.260	99.020	0.980	13.68	288	1.000	bicubic
469	efficientnet_b3.ra2_in1k	95.720	4.280	99.040	0.960	12.23	320	1.000	bicubic
470	tresnet_m.miil_in21k_ft_in1k	95.710	4.290	99.030	0.970	31.39	224	0.875	bilinear
471	pnasnet5large.tf_in1k	95.710	4.290	98.920	1.080	86.06	331	0.911	bicubic
472	coatnet_bn_0_rw_224.sw_in1k	95.700	4.300	99.050	0.950	27.44	224	0.950	bicubic
473	mobilevitv2_150.cvnets_in22k_ft_in1k_384	95.690	4.310	99.140	0.860	10.59	384	1.000	bicubic
474	nasnetalarge.tf_in1k	95.690	4.310	98.930	1.070	88.75	331	0.911	bicubic
475	crossvit_15_dagger_240.in1k	95.680	4.320	98.830	1.170	28.21	240	0.875	bicubic
476	flexivit_small.600ep_in1k	95.670	4.330	99.060	0.940	22.06	240	0.950	bicubic
477	xcit_tiny_24_p8_224.fb_in1k	95.660	4.340	99.050	0.950	12.11	224	1.000	bicubic
478	davit_tiny.msft_in1k	95.660	4.340	99.030	0.970	28.36	224	0.950	bicubic
479	efficientvit_b2.r256_in1k	95.650	4.350	99.060	0.940	24.33	256	1.000	bicubic
480	repvit_m1_5.dist_300e_in1k	95.640	4.360	98.990	1.010	14.64	224	0.950	bicubic
481	wide_resnet50_2.racm_in1k	95.630	4.370	99.240	0.760	68.88	288	0.950	bicubic
482	vit_small_r26_s32_224.augreg_in21k_ft_in1k	95.630	4.370	99.190	0.810	36.43	224	0.900	bicubic
483	resnetv2_50d_evos.ah_in1k	95.630	4.370	99.110	0.890	25.59	288	1.000	bicubic
484	poolformer_m48.sail_in1k	95.630	4.370	98.940	1.060	73.47	224	0.950	bicubic
485	pit_b_224.in1k	95.630	4.370	98.660	1.340	73.76	224	0.900	bicubic
486	efficientformer_l3.snap_dist_in1k	95.590	4.410	99.160	0.840	31.41	224	0.950	bicubic
487	efficientnetv2_rw_t.ra2_in1k	95.590	4.410	99.070	0.930	13.65	288	1.000	bicubic
488	gcvit_xtiny.in1k	95.590	4.410	99.040	0.960	19.98	224	0.875	bicubic
489	crossvit_18_dagger_240.in1k	95.570	4.430	99.060	0.940	44.27	240	0.875	bicubic
490	vit_relpos_base_patch16_224.sw_in1k	95.560	4.440	99.030	0.970	86.43	224	0.900	bicubic
491	pvt_v2_b2_li.in1k	95.560	4.440	98.990	1.010	22.55	224	0.900	bicubic
492	flexivit_small.1200ep_in1k	95.550	4.450	99.110	0.890	22.06	240	0.950	bicubic
493	convit_base.fb_in1k	95.550	4.450	98.880	1.120	86.54	224	0.875	bicubic
494	wide_resnet101_2.tv2_in1k	95.540	4.460	99.080	0.920	126.89	224	0.965	bilinear
495	coat_lite_small.in1k	95.540	4.460	98.860	1.140	19.84	224	0.900	bicubic
496	xcit_small_24_p16_224.fb_in1k	95.540	4.460	98.780	1.220	47.67	224	1.000	bicubic
497	xcit_medium_24_p16_224.fb_in1k	95.540	4.460	98.720	1.280	84.40	224	1.000	bicubic
498	levit_384.fb_dist_in1k	95.530	4.470	99.060	0.940	39.13	224	0.900	bicubic
499	levit_conv_384.fb_dist_in1k	95.530	4.470	99.050	0.950	39.13	224	0.900	bicubic
500	ecaresnet50t.ra2_in1k	95.520	4.480	99.110	0.890	25.57	320	0.950	bicubic
501	fbnetv3_g.ra2_in1k	95.520	4.480	98.990	1.010	16.62	288	0.950	bilinear
502	vit_base_patch32_clip_224.laion2b_ft_in1k	95.520	4.480	98.870	1.130	88.22	224	0.900	bicubic
503	resnet101.a1_in1k	95.520	4.480	98.850	1.150	44.55	288	1.000	bicubic
504	crossvit_base_240.in1k	95.520	4.480	98.810	1.190	105.03	240	0.875	bicubic
505	swin_tiny_patch4_window7_224.ms_in22k_ft_in1k	95.510	4.490	99.200	0.800	28.29	224	0.900	bicubic
506	resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k	95.510	4.490	99.120	0.880	88.79	224	0.875	bilinear
507	xception41p.ra3_in1k	95.510	4.490	98.910	1.090	26.91	299	0.940	bicubic
508	focalnet_tiny_srf.ms_in1k	95.500	4.500	99.130	0.870	28.43	224	0.900	bicubic
509	vit_relpos_medium_patch16_rpn_224.sw_in1k	95.500	4.500	99.080	0.920	38.73	224	0.900	bicubic
510	resnet152.tv2_in1k	95.500	4.500	98.960	1.040	60.19	224	0.965	bilinear
511	resnet152.a1_in1k	95.500	4.500	98.780	1.220	60.19	288	1.000	bicubic
512	swinv2_tiny_window8_256.ms_in1k	95.490	4.510	99.100	0.900	28.35	256	0.900	bicubic
513	tiny_vit_11m_224.in1k	95.490	4.510	98.990	1.010	11.00	224	0.950	bicubic
514	flexivit_small.300ep_in1k	95.490	4.510	98.960	1.040	22.06	240	0.950	bicubic
515	resnet152.a2_in1k	95.490	4.510	98.790	1.210	60.19	288	1.000	bicubic
516	pvt_v2_b2.in1k	95.480	4.520	99.000	1.000	25.36	224	0.900	bicubic
517	resnetv2_50d_gn.ah_in1k	95.480	4.520	98.950	1.050	25.57	288	1.000	bicubic
518	visformer_small.in1k	95.480	4.520	98.900	1.100	40.22	224	0.900	bicubic
519	vit_relpos_medium_patch16_cls_224.sw_in1k	95.470	4.530	98.950	1.050	38.76	224	0.900	bicubic
520	inception_next_tiny.sail_in1k	95.460	4.540	99.010	0.990	28.06	224	0.875	bicubic
521	vit_relpos_medium_patch16_224.sw_in1k	95.460	4.540	98.960	1.040	38.75	224	0.900	bicubic
522	focalnet_tiny_lrf.ms_in1k	95.460	4.540	98.910	1.090	28.65	224	0.900	bicubic
523	ecaresnet50d.miil_in1k	95.450	4.550	99.090	0.910	25.58	288	0.950	bicubic
524	deit_base_patch16_224.fb_in1k	95.450	4.550	98.840	1.160	86.57	224	0.900	bicubic
525	resnext50_32x4d.a1h_in1k	95.450	4.550	98.840	1.160	25.03	288	1.000	bicubic
526	resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k	95.440	4.560	99.120	0.880	44.18	224	0.875	bilinear
527	tresnet_xl.miil_in1k	95.440	4.560	99.050	0.950	78.44	224	0.875	bilinear
528	crossvit_18_240.in1k	95.440	4.560	98.790	1.210	43.27	240	0.875	bicubic
529	coatnet_0_rw_224.sw_in1k	95.440	4.560	98.720	1.280	27.44	224	0.950	bicubic
530	resnetrs101.tf_in1k	95.430	4.570	99.040	0.960	63.62	288	0.940	bicubic
531	coatnext_nano_rw_224.sw_in1k	95.430	4.570	99.010	0.990	14.70	224	0.900	bicubic
532	coatnet_rmlp_nano_rw_224.sw_in1k	95.430	4.570	98.990	1.010	15.15	224	0.900	bicubic
533	xcit_small_12_p16_224.fb_in1k	95.430	4.570	98.840	1.160	26.25	224	1.000	bicubic
534	xcit_large_24_p16_224.fb_in1k	95.430	4.570	98.630	1.370	189.10	224	1.000	bicubic
535	halo2botnet50ts_256.a1h_in1k	95.420	4.580	99.020	0.980	22.64	256	0.950	bicubic
536	ecaresnet50t.a1_in1k	95.410	4.590	99.010	0.990	25.57	288	1.000	bicubic
537	resnet101.a2_in1k	95.410	4.590	98.940	1.060	44.55	288	1.000	bicubic
538	resnet50.fb_swsl_ig1b_ft_in1k	95.400	4.600	99.300	0.700	25.56	224	0.875	bilinear
539	edgenext_small.usi_in1k	95.400	4.600	99.100	0.900	5.59	320	1.000	bicubic
540	poolformerv2_m36.sail_in1k	95.400	4.600	98.870	1.130	56.08	224	1.000	bicubic
541	vit_base_patch16_rpn_224.sw_in1k	95.390	4.610	98.940	1.060	86.54	224	0.900	bicubic
542	poolformer_m36.sail_in1k	95.390	4.610	98.860	1.140	56.17	224	0.950	bicubic
543	vit_small_patch16_224.augreg_in21k_ft_in1k	95.370	4.630	99.140	0.860	22.05	224	0.900	bicubic
544	swinv2_cr_tiny_ns_224.sw_in1k	95.370	4.630	98.940	1.060	28.33	224	0.900	bicubic
545	efficientformerv2_s2.snap_dist_in1k	95.360	4.640	98.930	1.070	12.71	224	0.950	bicubic
546	ecaresnet50t.a2_in1k	95.350	4.650	98.920	1.080	25.57	288	1.000	bicubic
547	convnext_nano.d1h_in1k	95.350	4.650	98.860	1.140	15.59	288	1.000	bicubic
548	vit_base_patch16_224.orig_in21k_ft_in1k	95.340	4.660	99.000	1.000	86.57	224	0.900	bicubic
549	seresnet50.ra2_in1k	95.330	4.670	99.010	0.990	28.09	288	0.950	bicubic
550	tf_efficientnet_b3.ap_in1k	95.320	4.680	98.900	1.100	12.23	300	0.904	bicubic
551	cs3sedarknet_l.c2ns_in1k	95.310	4.690	99.130	0.870	21.91	288	0.950	bicubic
552	poolformerv2_s36.sail_in1k	95.310	4.690	98.920	1.080	30.79	224	1.000	bicubic
553	regnety_032.tv2_in1k	95.310	4.690	98.910	1.090	19.44	224	0.965	bicubic
554	mixer_b16_224.miil_in21k_ft_in1k	95.300	4.700	98.880	1.120	59.88	224	0.875	bilinear
555	ecaresnetlight.miil_in1k	95.290	4.710	99.030	0.970	30.16	288	0.950	bicubic
556	vit_small_patch16_384.augreg_in1k	95.290	4.710	99.000	1.000	22.20	384	1.000	bicubic
557	tresnet_l.miil_in1k	95.280	4.720	99.010	0.990	55.99	224	0.875	bilinear
558	cait_xxs24_384.fb_dist_in1k	95.280	4.720	98.960	1.040	12.03	384	1.000	bicubic
559	resnet101.tv2_in1k	95.280	4.720	98.910	1.090	44.55	224	0.965	bilinear
560	resnet50_gn.a1h_in1k	95.250	4.750	99.000	1.000	25.56	288	0.950	bicubic
561	vit_srelpos_medium_patch16_224.sw_in1k	95.240	4.760	98.990	1.010	38.74	224	0.900	bicubic
562	nest_tiny_jx.goog_in1k	95.240	4.760	98.980	1.020	17.06	224	0.875	bicubic
563	gcresnet50t.ra2_in1k	95.240	4.760	98.910	1.090	25.90	288	1.000	bicubic
564	coatnet_nano_rw_224.sw_in1k	95.240	4.760	98.870	1.130	15.14	224	0.900	bicubic
565	convnextv2_pico.fcmae_ft_in1k	95.230	4.770	98.920	1.080	9.07	288	0.950	bicubic
566	mobilevitv2_175.cvnets_in22k_ft_in1k	95.220	4.780	98.800	1.200	14.25	256	0.888	bicubic
567	convit_small.fb_in1k	95.210	4.790	98.900	1.100	27.78	224	0.875	bicubic
568	twins_pcpvt_small.in1k	95.210	4.790	98.880	1.120	24.11	224	0.900	bicubic
569	repvit_m3.dist_in1k	95.200	4.800	99.090	0.910	10.68	224	0.950	bicubic
570	resnetaa50.a1h_in1k	95.200	4.800	98.920	1.080	25.56	288	1.000	bicubic
571	efficientvit_b2.r224_in1k	95.200	4.800	98.820	1.180	24.33	224	0.950	bicubic
572	twins_svt_small.in1k	95.190	4.810	98.880	1.120	24.06	224	0.900	bicubic
573	swin_s3_tiny_224.ms_in1k	95.180	4.820	98.950	1.050	28.33	224	0.900	bicubic
574	regnetz_b16.ra3_in1k	95.170	4.830	99.080	0.920	9.72	288	1.000	bicubic
575	tf_efficientnet_b1.ns_jft_in1k	95.160	4.840	99.100	0.900	7.79	240	0.882	bicubic
576	mobilevitv2_200.cvnets_in22k_ft_in1k	95.160	4.840	98.950	1.050	18.45	256	0.888	bicubic
577	tf_efficientnetv2_b3.in1k	95.160	4.840	98.820	1.180	14.36	300	0.904	bicubic
578	cs3darknet_focus_l.c2ns_in1k	95.150	4.850	98.960	1.040	21.15	288	0.950	bicubic
579	vit_relpos_small_patch16_224.sw_in1k	95.150	4.850	98.960	1.040	21.98	224	0.900	bicubic
580	crossvit_15_240.in1k	95.150	4.850	98.930	1.070	27.53	240	0.875	bicubic
581	lamhalobotnet50ts_256.a1h_in1k	95.150	4.850	98.880	1.120	22.57	256	0.950	bicubic
582	fastvit_sa12.apple_dist_in1k	95.150	4.850	98.810	1.190	11.58	256	0.900	bicubic
583	pit_s_distilled_224.in1k	95.140	4.860	98.890	1.110	24.04	224	0.900	bicubic
584	mobilevitv2_150.cvnets_in22k_ft_in1k	95.140	4.860	98.860	1.140	10.59	256	0.888	bicubic
585	swin_tiny_patch4_window7_224.ms_in1k	95.140	4.860	98.850	1.150	28.29	224	0.900	bicubic
586	halonet50ts.a1h_in1k	95.140	4.860	98.780	1.220	22.73	256	0.940	bicubic
587	convnext_nano_ols.d1h_in1k	95.140	4.860	98.730	1.270	15.65	288	1.000	bicubic
588	xcit_tiny_12_p16_384.fb_dist_in1k	95.130	4.870	99.020	0.980	6.72	384	1.000	bicubic
589	cs3darknet_l.c2ns_in1k	95.120	4.880	98.980	1.020	21.16	288	0.950	bicubic
590	efficientnet_el.ra_in1k	95.120	4.880	98.970	1.030	10.59	300	0.904	bicubic
591	vit_base_patch32_clip_224.openai_ft_in1k	95.110	4.890	98.980	1.020	88.22	224	0.900	bicubic
592	ecaresnet50d_pruned.miil_in1k	95.110	4.890	98.930	1.070	19.94	288	0.950	bicubic
593	gernet_l.idstcv_in1k	95.110	4.890	98.900	1.100	31.08	256	0.875	bilinear
594	regnetx_080.tv2_in1k	95.100	4.900	98.830	1.170	39.57	224	0.965	bicubic
595	xcit_tiny_12_p8_224.fb_dist_in1k	95.090	4.910	98.910	1.090	6.71	224	1.000	bicubic
596	convmixer_1536_20.in1k	95.080	4.920	99.030	0.970	51.63	224	0.960	bicubic
597	poolformer_s36.sail_in1k	95.080	4.920	98.910	1.090	30.86	224	0.900	bicubic
598	legacy_senet154.in1k	95.070	4.930	98.830	1.170	115.09	224	0.875	bilinear
599	tiny_vit_5m_224.dist_in22k_ft_in1k	95.050	4.950	98.970	1.030	5.39	224	0.950	bicubic
600	seresnet33ts.ra2_in1k	95.040	4.960	98.900	1.100	19.78	288	1.000	bicubic
601	tnt_s_patch16_224	95.040	4.960	98.830	1.170	23.76	224	0.900	bicubic
602	vit_srelpos_small_patch16_224.sw_in1k	95.030	4.970	98.950	1.050	21.97	224	0.900	bicubic
603	vit_small_patch32_384.augreg_in21k_ft_in1k	95.020	4.980	98.990	1.010	22.92	384	1.000	bicubic
604	resnet152s.gluon_in1k	95.020	4.980	98.930	1.070	60.32	224	0.875	bicubic
605	levit_256.fb_dist_in1k	95.020	4.980	98.880	1.120	18.89	224	0.900	bicubic
606	levit_conv_256.fb_dist_in1k	95.020	4.980	98.880	1.120	18.89	224	0.900	bicubic
607	resnetv2_50x1_bit.goog_in21k_ft_in1k	95.010	4.990	99.060	0.940	25.55	448	1.000	bilinear
608	vit_base_patch32_224.augreg_in21k_ft_in1k	95.010	4.990	99.030	0.970	88.22	224	0.900	bicubic
609	resnet50d.ra2_in1k	95.010	4.990	98.980	1.020	25.58	288	0.950	bicubic
610	tf_efficientnet_b3.aa_in1k	95.010	4.990	98.910	1.090	12.23	300	0.904	bicubic
611	tresnet_m.miil_in1k_448	94.990	5.010	98.980	1.020	31.39	448	0.875	bilinear
612	deit3_small_patch16_224.fb_in1k	94.990	5.010	98.460	1.540	22.06	224	0.900	bicubic
613	resnet50.d_in1k	94.980	5.020	98.840	1.160	25.56	288	1.000	bicubic
614	resnest50d_4s2x40d.in1k	94.970	5.030	99.080	0.920	30.42	224	0.875	bicubic
615	coat_mini.in1k	94.970	5.030	98.780	1.220	10.34	224	0.900	bicubic
616	rexnet_200.nav_in1k	94.940	5.060	99.010	0.990	16.37	224	0.875	bicubic
617	vit_base_patch16_384.augreg_in1k	94.940	5.060	98.890	1.110	86.86	384	1.000	bicubic
618	seresnext101_64x4d.gluon_in1k	94.930	5.070	98.830	1.170	88.23	224	0.875	bicubic
619	gcresnet33ts.ra2_in1k	94.920	5.080	98.810	1.190	19.88	288	1.000	bicubic
620	resnet50.c2_in1k	94.920	5.080	98.810	1.190	25.56	288	1.000	bicubic
621	senet154.gluon_in1k	94.920	5.080	98.760	1.240	115.09	224	0.875	bicubic
622	eva02_tiny_patch14_336.mim_in22k_ft_in1k	94.910	5.090	98.880	1.120	5.76	336	1.000	bicubic
623	repvit_m1_1.dist_450e_in1k	94.900	5.100	98.960	1.040	8.80	224	0.950	bicubic
624	resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k	94.890	5.110	98.870	1.130	25.03	224	0.875	bilinear
625	mobilevitv2_175.cvnets_in1k	94.890	5.110	98.860	1.140	14.25	256	0.888	bicubic
626	resmlp_36_224.fb_distilled_in1k	94.890	5.110	98.860	1.140	44.69	224	0.875	bicubic
627	seresnext101_32x4d.gluon_in1k	94.890	5.110	98.820	1.180	48.96	224	0.875	bicubic
628	tf_efficientnet_lite4.in1k	94.880	5.120	99.020	0.980	13.01	380	0.920	bilinear
629	fastvit_sa12.apple_in1k	94.880	5.120	98.890	1.110	11.58	256	0.900	bicubic
630	wide_resnet50_2.tv2_in1k	94.870	5.130	98.940	1.060	68.88	224	0.965	bilinear
631	ese_vovnet39b.ra_in1k	94.870	5.130	98.910	1.090	24.57	288	0.950	bicubic
632	gcresnext50ts.ch_in1k	94.860	5.140	98.860	1.140	15.67	288	1.000	bicubic
633	resnet50.b1k_in1k	94.860	5.140	98.810	1.190	25.56	288	1.000	bicubic
634	crossvit_small_240.in1k	94.850	5.150	99.020	0.980	26.86	240	0.875	bicubic
635	resnest50d.in1k	94.850	5.150	98.880	1.120	27.48	224	0.875	bilinear
636	resnetv2_50.a1h_in1k	94.850	5.150	98.870	1.130	25.55	288	1.000	bicubic
637	mobilevitv2_200.cvnets_in1k	94.840	5.160	98.710	1.290	18.45	256	0.888	bicubic
638	convnext_tiny.fb_in22k_ft_in1k	94.840	5.160	98.530	1.470	28.59	288	1.000	bicubic
639	fastvit_s12.apple_dist_in1k	94.830	5.170	98.810	1.190	9.47	256	0.900	bicubic
640	cspresnext50.ra_in1k	94.830	5.170	98.770	1.230	20.57	256	0.887	bilinear
641	resnext50_32x4d.a1_in1k	94.830	5.170	98.590	1.410	25.03	288	1.000	bicubic
642	res2net101d.in1k	94.820	5.180	98.770	1.230	45.23	224	0.875	bilinear
643	resnet50.a1h_in1k	94.770	5.230	98.690	1.310	25.56	224	1.000	bicubic
644	lambda_resnet50ts.a1h_in1k	94.770	5.230	98.470	1.530	21.54	256	0.950	bicubic
645	repvit_m1_1.dist_300e_in1k	94.760	5.240	98.930	1.070	8.80	224	0.950	bicubic
646	convnext_pico.d1_in1k	94.760	5.240	98.710	1.290	9.05	288	0.950	bicubic
647	sehalonet33ts.ra2_in1k	94.760	5.240	98.570	1.430	13.69	256	0.940	bicubic
648	resnet50.a1_in1k	94.740	5.260	98.710	1.290	25.56	288	1.000	bicubic
649	repvit_m2.dist_in1k	94.740	5.260	98.680	1.320	8.80	224	0.950	bicubic
650	resnest50d_1s4x24d.in1k	94.730	5.270	98.980	1.020	25.68	224	0.875	bicubic
651	resnet50.c1_in1k	94.730	5.270	98.930	1.070	25.56	288	1.000	bicubic
652	resnet50.b2k_in1k	94.730	5.270	98.820	1.180	25.56	288	1.000	bicubic
653	resnet152d.gluon_in1k	94.730	5.270	98.750	1.250	60.21	224	0.875	bicubic
654	resnet152.a3_in1k	94.730	5.270	98.680	1.320	60.19	224	0.950	bicubic
655	resnet50d.a1_in1k	94.730	5.270	98.490	1.510	25.58	288	1.000	bicubic
656	resnet101s.gluon_in1k	94.720	5.280	98.820	1.180	44.67	224	0.875	bicubic
657	deit_small_distilled_patch16_224.fb_in1k	94.710	5.290	99.030	0.970	22.44	224	0.900	bicubic
658	resnext50_32x4d.ra_in1k	94.700	5.300	98.760	1.240	25.03	288	0.950	bicubic
659	xcit_tiny_12_p8_224.fb_in1k	94.690	5.310	98.830	1.170	6.71	224	1.000	bicubic
660	haloregnetz_b.ra3_in1k	94.690	5.310	98.660	1.340	11.68	224	0.940	bicubic
661	resmlp_big_24_224.fb_in1k	94.680	5.320	98.500	1.500	129.14	224	0.875	bicubic
662	edgenext_small_rw.sw_in1k	94.670	5.330	98.780	1.220	7.83	320	1.000	bicubic
663	resnext101_64x4d.gluon_in1k	94.670	5.330	98.660	1.340	83.46	224	0.875	bicubic
664	regnetx_032.tv2_in1k	94.660	5.340	98.850	1.150	15.30	224	0.965	bicubic
665	cspdarknet53.ra_in1k	94.660	5.340	98.800	1.200	27.64	256	0.887	bilinear
666	seresnet50.a2_in1k	94.660	5.340	98.780	1.220	28.09	288	1.000	bicubic
667	seresnet50.a1_in1k	94.660	5.340	98.720	1.280	28.09	288	1.000	bicubic
668	poolformerv2_s24.sail_in1k	94.650	5.350	98.840	1.160	21.34	224	1.000	bicubic
669	maxvit_rmlp_pico_rw_256.sw_in1k	94.640	5.360	98.810	1.190	7.52	256	0.950	bicubic
670	resnet50.tv2_in1k	94.640	5.360	98.800	1.200	25.56	224	0.965	bilinear
671	efficientnet_b3_pruned.in1k	94.630	5.370	98.760	1.240	9.86	300	0.904	bicubic
672	resnet50.a2_in1k	94.630	5.370	98.660	1.340	25.56	288	1.000	bicubic
673	eca_resnet33ts.ra2_in1k	94.620	5.380	98.910	1.090	19.68	288	1.000	bicubic
674	darknet53.c2ns_in1k	94.620	5.380	98.900	1.100	41.61	288	1.000	bicubic
675	gernet_m.idstcv_in1k	94.620	5.380	98.860	1.140	21.14	224	0.875	bilinear
676	resnext50_32x4d.tv2_in1k	94.620	5.380	98.780	1.220	25.03	224	0.965	bilinear
677	convnext_pico_ols.d1_in1k	94.620	5.380	98.760	1.240	9.06	288	1.000	bicubic
678	efficientnet_b2.ra_in1k	94.620	5.380	98.710	1.290	9.11	288	1.000	bicubic
679	tresnet_m.miil_in1k	94.620	5.380	98.550	1.450	31.39	224	0.875	bilinear
680	sebotnet33ts_256.a1h_in1k	94.610	5.390	98.510	1.490	13.70	256	0.940	bicubic
681	fastvit_t12.apple_dist_in1k	94.590	5.410	98.790	1.210	7.55	256	0.900	bicubic
682	inception_resnet_v2.tf_in1k	94.580	5.420	98.790	1.210	55.84	299	0.897	bicubic
683	resnet50d.a2_in1k	94.580	5.420	98.690	1.310	25.58	288	1.000	bicubic
684	resnext50_32x4d.a2_in1k	94.580	5.420	98.650	1.350	25.03	288	1.000	bicubic
685	pit_s_224.in1k	94.570	5.430	98.700	1.300	23.46	224	0.900	bicubic
686	poolformer_s24.sail_in1k	94.560	5.440	98.900	1.100	21.39	224	0.900	bicubic
687	repvgg_b3.rvgg_in1k	94.550	5.450	98.780	1.220	123.09	224	0.875	bilinear
688	mobilevitv2_150.cvnets_in1k	94.550	5.450	98.710	1.290	10.59	256	0.888	bicubic
689	resnext50d_32x4d.bt_in1k	94.550	5.450	98.690	1.310	25.05	288	0.950	bicubic
690	regnety_320.pycls_in1k	94.540	5.460	98.850	1.150	145.05	224	0.875	bicubic
691	tf_efficientnet_b3.in1k	94.540	5.460	98.800	1.200	12.23	300	0.904	bicubic
692	nf_resnet50.ra2_in1k	94.540	5.460	98.790	1.210	25.56	288	0.940	bicubic
693	xcit_tiny_24_p16_224.fb_dist_in1k	94.540	5.460	98.780	1.220	12.12	224	1.000	bicubic
694	resnext101_32x4d.gluon_in1k	94.540	5.460	98.630	1.370	44.18	224	0.875	bicubic
695	repvit_m1_0.dist_450e_in1k	94.530	5.470	98.880	1.120	7.30	224	0.950	bicubic
696	regnety_016.tv2_in1k	94.520	5.480	98.820	1.180	11.20	224	0.965	bicubic
697	resnet50.ram_in1k	94.520	5.480	98.650	1.350	25.56	288	0.950	bicubic
698	repvgg_b3g4.rvgg_in1k	94.510	5.490	98.970	1.030	83.83	224	0.875	bilinear
699	tf_efficientnet_b2.ap_in1k	94.510	5.490	98.620	1.380	9.11	260	0.890	bicubic
700	convmixer_768_32.in1k	94.500	5.500	98.860	1.140	21.11	224	0.960	bicubic
701	efficientvit_b1.r288_in1k	94.490	5.510	98.520	1.480	9.10	288	1.000	bicubic
702	efficientformer_l1.snap_dist_in1k	94.480	5.520	98.830	1.170	12.29	224	0.950	bicubic
703	rexnet_150.nav_in1k	94.480	5.520	98.800	1.200	9.73	224	0.875	bicubic
704	regnety_120.pycls_in1k	94.470	5.530	98.820	1.180	51.82	224	0.875	bicubic
705	darknetaa53.c2ns_in1k	94.470	5.530	98.770	1.230	36.02	288	1.000	bilinear
706	resnetblur50.bt_in1k	94.460	5.540	98.840	1.160	25.56	288	0.950	bicubic
707	resnet50.fb_ssl_yfcc100m_ft_in1k	94.450	5.550	98.920	1.080	25.56	224	0.875	bilinear
708	resmlp_24_224.fb_distilled_in1k	94.450	5.550	98.770	1.230	30.02	224	0.875	bicubic
709	regnetx_320.pycls_in1k	94.450	5.550	98.740	1.260	107.81	224	0.875	bicubic
710	gcvit_xxtiny.in1k	94.420	5.580	98.890	1.110	12.00	224	0.875	bicubic
711	tf_efficientnetv2_b2.in1k	94.420	5.580	98.580	1.420	10.10	260	0.890	bicubic
712	tf_efficientnet_el.in1k	94.400	5.600	98.710	1.290	10.59	300	0.904	bicubic
713	efficientnet_el_pruned.in1k	94.390	5.610	98.740	1.260	10.59	300	0.904	bicubic
714	tf_efficientnet_b2.aa_in1k	94.380	5.620	98.610	1.390	9.11	260	0.890	bicubic
715	legacy_seresnext101_32x4d.in1k	94.370	5.630	98.630	1.370	48.96	224	0.875	bilinear
716	inception_v4.tf_in1k	94.370	5.630	98.580	1.420	42.68	299	0.875	bicubic
717	regnety_160.pycls_in1k	94.360	5.640	98.860	1.140	83.59	224	0.875	bicubic
718	deit_small_patch16_224.fb_in1k	94.350	5.650	98.690	1.310	22.05	224	0.900	bicubic
719	ecaresnet50t.a3_in1k	94.350	5.650	98.670	1.330	25.57	224	0.950	bicubic
720	dpn107.mx_in1k	94.340	5.660	98.500	1.500	86.92	224	0.875	bicubic
721	seresnext50_32x4d.gluon_in1k	94.330	5.670	98.610	1.390	27.56	224	0.875	bicubic
722	ecaresnet26t.ra2_in1k	94.320	5.680	98.720	1.280	16.01	320	0.950	bicubic
723	resnet50.bt_in1k	94.320	5.680	98.640	1.360	25.56	288	0.950	bicubic
724	resnetrs50.tf_in1k	94.320	5.680	98.640	1.360	35.69	224	0.910	bicubic
725	res2net50d.in1k	94.320	5.680	98.530	1.470	25.72	224	0.875	bilinear
726	repvit_m1_0.dist_300e_in1k	94.300	5.700	98.850	1.150	7.30	224	0.950	bicubic
727	xception71.tf_in1k	94.300	5.700	98.650	1.350	42.34	299	0.903	bicubic
728	dpn92.mx_in1k	94.290	5.710	98.750	1.250	37.67	224	0.875	bicubic
729	cait_xxs36_224.fb_dist_in1k	94.270	5.730	98.710	1.290	17.30	224	1.000	bicubic
730	tiny_vit_5m_224.in1k	94.240	5.760	98.690	1.310	5.39	224	0.950	bicubic
731	skresnext50_32x4d.ra_in1k	94.240	5.760	98.460	1.540	27.48	224	0.875	bicubic
732	regnetx_120.pycls_in1k	94.230	5.770	98.670	1.330	46.11	224	0.875	bicubic
733	resnet101d.gluon_in1k	94.230	5.770	98.540	1.460	44.57	224	0.875	bicubic
734	resnet50.ra_in1k	94.210	5.790	98.620	1.380	25.56	288	0.950	bicubic
735	tf_efficientnet_lite3.in1k	94.200	5.800	98.640	1.360	8.20	300	0.904	bilinear
736	efficientformerv2_s1.snap_dist_in1k	94.200	5.800	98.630	1.370	6.19	224	0.950	bicubic
737	resmlp_36_224.fb_in1k	94.190	5.810	98.660	1.340	44.69	224	0.875	bicubic
738	convnextv2_femto.fcmae_ft_in1k	94.190	5.810	98.610	1.390	5.23	288	0.950	bicubic
739	mixnet_xl.ra_in1k	94.180	5.820	98.320	1.680	11.90	224	0.875	bicubic
740	regnety_080.pycls_in1k	94.170	5.830	98.680	1.320	39.18	224	0.875	bicubic
741	inception_resnet_v2.tf_ens_adv_in1k	94.170	5.830	98.600	1.400	55.84	299	0.897	bicubic
742	levit_192.fb_dist_in1k	94.170	5.830	98.540	1.460	10.95	224	0.900	bicubic
743	levit_conv_192.fb_dist_in1k	94.170	5.830	98.540	1.460	10.95	224	0.900	bicubic
744	resnet152c.gluon_in1k	94.160	5.840	98.640	1.360	60.21	224	0.875	bicubic
745	dpn98.mx_in1k	94.160	5.840	98.590	1.410	61.57	224	0.875	bicubic
746	vit_base_patch16_224.sam_in1k	94.150	5.850	98.670	1.330	86.57	224	0.900	bicubic
747	gmlp_s16_224.ra3_in1k	94.150	5.850	98.500	1.500	19.42	224	0.875	bicubic
748	regnetx_160.pycls_in1k	94.140	5.860	98.750	1.250	54.28	224	0.875	bicubic
749	regnety_064.pycls_in1k	94.140	5.860	98.710	1.290	30.58	224	0.875	bicubic
750	efficientnet_b2_pruned.in1k	94.140	5.860	98.520	1.480	8.31	260	0.890	bicubic
751	regnetx_016.tv2_in1k	94.130	5.870	98.750	1.250	9.19	224	0.965	bicubic
752	fastvit_s12.apple_in1k	94.130	5.870	98.620	1.380	9.47	256	0.900	bicubic
753	nf_regnet_b1.ra2_in1k	94.110	5.890	98.620	1.380	10.22	288	0.900	bicubic
754	tf_efficientnet_b2.in1k	94.110	5.890	98.450	1.550	9.11	260	0.890	bicubic
755	resnet33ts.ra2_in1k	94.100	5.900	98.650	1.350	19.68	288	1.000	bicubic
756	efficientvit_b1.r256_in1k	94.090	5.910	98.360	1.640	9.10	256	1.000	bicubic
757	xcit_tiny_24_p16_224.fb_in1k	94.080	5.920	98.540	1.460	12.12	224	1.000	bicubic
758	resnet152.gluon_in1k	94.070	5.930	98.460	1.540	60.19	224	0.875	bicubic
759	dpn131.mx_in1k	94.050	5.950	98.710	1.290	79.25	224	0.875	bicubic
760	coat_lite_mini.in1k	94.040	5.960	98.550	1.450	11.01	224	0.900	bicubic
761	eca_halonext26ts.c1_in1k	94.040	5.960	98.490	1.510	10.76	256	0.940	bicubic
762	resnet101.a3_in1k	94.030	5.970	98.660	1.340	44.55	224	0.950	bicubic
763	hrnet_w64.ms_in1k	94.030	5.970	98.590	1.410	128.06	224	0.875	bilinear
764	resmlp_24_224.fb_in1k	94.030	5.970	98.330	1.670	30.02	224	0.875	bicubic
765	halonet26t.a1h_in1k	94.000	6.000	98.500	1.500	12.48	256	0.950	bicubic
766	dpn68b.ra_in1k	94.000	6.000	98.340	1.660	12.61	288	1.000	bicubic
767	fbnetv3_b.ra2_in1k	93.970	6.030	98.630	1.370	8.60	256	0.950	bilinear
768	resnet50.am_in1k	93.970	6.030	98.520	1.480	25.56	224	0.875	bicubic
769	dla102x2.in1k	93.970	6.030	98.490	1.510	41.28	224	0.875	bilinear
770	mobilevitv2_125.cvnets_in1k	93.960	6.040	98.550	1.450	7.48	256	0.888	bicubic
771	tf_efficientnetv2_b1.in1k	93.950	6.050	98.620	1.380	8.14	240	0.882	bicubic
772	convnext_femto.d1_in1k	93.930	6.070	98.520	1.480	5.22	288	0.950	bicubic
773	fbnetv3_d.ra2_in1k	93.920	6.080	98.740	1.260	10.31	256	0.950	bilinear
774	convnext_femto_ols.d1_in1k	93.920	6.080	98.620	1.380	5.23	288	0.950	bicubic
775	hrnet_w48.ms_in1k	93.920	6.080	98.610	1.390	77.47	224	0.875	bilinear
776	fastvit_t12.apple_in1k	93.920	6.080	98.600	1.400	7.55	256	0.900	bicubic
777	tf_efficientnet_cc_b1_8e.in1k	93.920	6.080	98.260	1.740	39.72	240	0.882	bicubic
778	regnetx_064.pycls_in1k	93.900	6.100	98.640	1.360	26.21	224	0.875	bicubic
779	rexnet_130.nav_in1k	93.900	6.100	98.400	1.600	7.56	224	0.875	bicubic
780	vit_small_patch16_224.augreg_in1k	93.890	6.110	98.440	1.560	22.05	224	0.900	bicubic
781	regnety_040.pycls_in1k	93.880	6.120	98.660	1.340	20.65	224	0.875	bicubic
782	repvgg_b2g4.rvgg_in1k	93.880	6.120	98.590	1.410	61.76	224	0.875	bilinear
783	regnetx_080.pycls_in1k	93.880	6.120	98.520	1.480	39.57	224	0.875	bicubic
784	efficientnet_em.ra2_in1k	93.830	6.170	98.820	1.180	6.90	240	0.882	bicubic
785	resnet32ts.ra2_in1k	93.830	6.170	98.650	1.350	17.96	288	1.000	bicubic
786	lambda_resnet26t.c1_in1k	93.830	6.170	98.640	1.360	10.96	256	0.940	bicubic
787	resnext101_32x8d.tv_in1k	93.820	6.180	98.580	1.420	88.79	224	0.875	bilinear
788	resnext50_32x4d.gluon_in1k	93.810	6.190	98.420	1.580	25.03	224	0.875	bicubic
789	pvt_v2_b1.in1k	93.800	6.200	98.660	1.340	14.01	224	0.900	bicubic
790	pit_xs_distilled_224.in1k	93.780	6.220	98.620	1.380	11.00	224	0.900	bicubic
791	eca_botnext26ts_256.c1_in1k	93.780	6.220	98.500	1.500	10.59	256	0.950	bicubic
792	xception65.tf_in1k	93.780	6.220	98.370	1.630	39.92	299	0.903	bicubic
793	legacy_seresnext50_32x4d.in1k	93.750	6.250	98.580	1.420	27.56	224	0.875	bilinear
794	resnet50d.gluon_in1k	93.750	6.250	98.390	1.610	25.58	224	0.875	bicubic
795	resnet101.gluon_in1k	93.750	6.250	98.380	1.620	44.55	224	0.875	bicubic
796	cspresnet50.ra_in1k	93.740	6.260	98.640	1.360	21.62	256	0.887	bilinear
797	wide_resnet101_2.tv_in1k	93.740	6.260	98.540	1.460	126.89	224	0.875	bilinear
798	mobileone_s4.apple_in1k	93.740	6.260	98.230	1.770	14.95	224	0.900	bilinear
799	vit_relpos_base_patch32_plus_rpn_256.sw_in1k	93.740	6.260	98.070	1.930	119.42	256	0.900	bicubic
800	res2net101_26w_4s.in1k	93.720	6.280	98.310	1.690	45.21	224	0.875	bilinear
801	lambda_resnet26rpt_256.c1_in1k	93.710	6.290	98.520	1.480	10.99	256	0.940	bicubic
802	regnety_008_tv.tv2_in1k	93.690	6.310	98.490	1.510	6.43	224	0.965	bicubic
803	tf_efficientnet_b1.ap_in1k	93.680	6.320	98.360	1.640	7.79	240	0.882	bicubic
804	resnet101c.gluon_in1k	93.670	6.330	98.420	1.580	44.57	224	0.875	bicubic
805	resnext50_32x4d.a3_in1k	93.660	6.340	98.520	1.480	25.03	224	0.950	bicubic
806	vit_tiny_patch16_384.augreg_in21k_ft_in1k	93.650	6.350	98.590	1.410	5.79	384	1.000	bicubic
807	resnet34d.ra2_in1k	93.640	6.360	98.540	1.460	21.82	288	0.950	bicubic
808	resnet50s.gluon_in1k	93.640	6.360	98.460	1.540	25.68	224	0.875	bicubic
809	vit_base_patch32_384.augreg_in1k	93.640	6.360	98.400	1.600	88.30	384	1.000	bicubic
810	vit_base_patch16_224.augreg_in1k	93.640	6.360	98.240	1.760	86.57	224	0.900	bicubic
811	tf_efficientnet_b0.ns_jft_in1k	93.620	6.380	98.640	1.360	5.29	224	0.875	bicubic
812	cait_xxs24_224.fb_dist_in1k	93.610	6.390	98.460	1.540	11.96	224	1.000	bicubic
813	repvit_m0_9.dist_450e_in1k	93.600	6.400	98.500	1.500	5.49	224	0.950	bicubic
814	coat_tiny.in1k	93.580	6.420	98.420	1.580	5.50	224	0.900	bicubic
815	regnetx_040.pycls_in1k	93.560	6.440	98.530	1.470	22.12	224	0.875	bicubic
816	visformer_tiny.in1k	93.560	6.440	98.490	1.510	10.32	224	0.900	bicubic
817	seresnext26t_32x4d.bt_in1k	93.560	6.440	98.390	1.610	16.81	288	0.950	bicubic
818	hrnet_w44.ms_in1k	93.550	6.450	98.700	1.300	67.06	224	0.875	bilinear
819	hrnet_w18.ms_aug_in1k	93.550	6.450	98.600	1.400	21.30	224	0.950	bilinear
820	hrnet_w32.ms_in1k	93.530	6.470	98.450	1.550	41.23	224	0.875	bilinear
821	xcit_nano_12_p8_384.fb_dist_in1k	93.520	6.480	98.530	1.470	3.05	384	1.000	bicubic
822	efficientvit_b1.r224_in1k	93.510	6.490	98.320	1.680	9.10	224	0.950	bicubic
823	botnet26t_256.c1_in1k	93.510	6.490	98.300	1.700	12.49	256	0.950	bicubic
824	repvgg_b2.rvgg_in1k	93.500	6.500	98.730	1.270	89.02	224	0.875	bilinear
825	hrnet_w40.ms_in1k	93.500	6.500	98.570	1.430	57.56	224	0.875	bilinear
826	repghostnet_200.in1k	93.500	6.500	98.540	1.460	9.80	224	0.875	bicubic
827	dla102x.in1k	93.490	6.510	98.500	1.500	26.31	224	0.875	bilinear
828	tf_efficientnet_b1.aa_in1k	93.490	6.510	98.360	1.640	7.79	240	0.882	bicubic
829	resnet50d.a3_in1k	93.480	6.520	98.450	1.550	25.58	224	0.950	bicubic
830	inception_v3.gluon_in1k	93.470	6.530	98.570	1.430	23.83	299	0.875	bicubic
831	legacy_xception.tf_in1k	93.460	6.540	98.530	1.470	22.86	299	0.897	bicubic
832	repvit_m0_9.dist_300e_in1k	93.440	6.560	98.710	1.290	5.49	224	0.950	bicubic
833	seresnext26d_32x4d.bt_in1k	93.440	6.560	98.330	1.670	16.81	288	0.950	bicubic
834	xception41.tf_in1k	93.430	6.570	98.430	1.570	26.97	299	0.903	bicubic
835	mixnet_l.ft_in1k	93.430	6.570	98.220	1.780	7.33	224	0.875	bicubic
836	regnety_032.pycls_in1k	93.410	6.590	98.640	1.360	19.44	224	0.875	bicubic
837	xcit_tiny_12_p16_224.fb_dist_in1k	93.410	6.590	98.510	1.490	6.72	224	1.000	bicubic
838	res2net50_26w_6s.in1k	93.400	6.600	98.280	1.720	37.05	224	0.875	bilinear
839	res2net50_26w_8s.in1k	93.390	6.610	98.170	1.830	48.40	224	0.875	bilinear
840	legacy_seresnet152.in1k	93.380	6.620	98.340	1.660	66.82	224	0.875	bilinear
841	dla169.in1k	93.350	6.650	98.610	1.390	53.39	224	0.875	bilinear
842	cs3darknet_m.c2ns_in1k	93.350	6.650	98.600	1.400	9.31	288	0.950	bicubic
843	levit_conv_128.fb_dist_in1k	93.350	6.650	98.370	1.630	9.21	224	0.900	bicubic
844	repvgg_b1.rvgg_in1k	93.330	6.670	98.520	1.480	57.42	224	0.875	bilinear
845	levit_128.fb_dist_in1k	93.330	6.670	98.370	1.630	9.21	224	0.900	bicubic
846	resnest26d.gluon_in1k	93.320	6.680	98.620	1.380	17.07	224	0.875	bilinear
847	resnet152.tv_in1k	93.320	6.680	98.380	1.620	60.19	224	0.875	bilinear
848	bat_resnext26ts.ch_in1k	93.320	6.680	98.360	1.640	10.73	256	0.900	bicubic
849	inception_v3.tf_in1k	93.320	6.680	98.040	1.960	23.83	299	0.875	bicubic
850	tf_mixnet_l.in1k	93.320	6.680	98.030	1.970	7.33	224	0.875	bicubic
851	legacy_seresnet101.in1k	93.310	6.690	98.520	1.480	49.33	224	0.875	bilinear
852	selecsls60b.in1k	93.310	6.690	98.290	1.710	32.77	224	0.875	bicubic
853	mobilevitv2_100.cvnets_in1k	93.300	6.700	98.280	1.720	4.90	256	0.888	bicubic
854	repvit_m1.dist_in1k	93.290	6.710	98.440	1.560	5.49	224	0.950	bicubic
855	efficientnet_b1.ft_in1k	93.250	6.750	98.290	1.710	7.79	256	1.000	bicubic
856	coat_lite_tiny.in1k	93.240	6.760	98.260	1.740	5.72	224	0.900	bicubic
857	resnet26t.ra2_in1k	93.200	6.800	98.490	1.510	16.01	320	1.000	bicubic
858	hrnet_w30.ms_in1k	93.200	6.800	98.410	1.590	37.71	224	0.875	bilinear
859	dla60_res2next.in1k	93.190	6.810	98.400	1.600	17.03	224	0.875	bilinear
860	dla60_res2net.in1k	93.170	6.830	98.430	1.570	20.85	224	0.875	bilinear
861	efficientnet_es.ra_in1k	93.170	6.830	98.410	1.590	5.44	224	0.875	bicubic
862	mobilevit_s.cvnets_in1k	93.160	6.840	98.440	1.560	5.58	256	0.900	bicubic
863	wide_resnet50_2.tv_in1k	93.160	6.840	98.370	1.630	68.88	224	0.875	bilinear
864	gcresnext26ts.ch_in1k	93.160	6.840	98.320	1.680	10.48	288	1.000	bicubic
865	ese_vovnet19b_dw.ra_in1k	93.150	6.850	98.250	1.750	6.54	288	0.950	bicubic
866	regnetx_032.pycls_in1k	93.110	6.890	98.390	1.610	15.30	224	0.875	bicubic
867	tf_efficientnetv2_b0.in1k	93.110	6.890	98.390	1.610	7.14	224	0.875	bicubic
868	resnet34.a1_in1k	93.100	6.900	98.330	1.670	21.80	288	1.000	bicubic
869	pit_xs_224.in1k	93.100	6.900	98.310	1.690	10.62	224	0.900	bicubic
870	tf_efficientnet_b1.in1k	93.100	6.900	98.300	1.700	7.79	240	0.882	bicubic
871	convnext_atto_ols.a2_in1k	93.090	6.910	98.470	1.530	3.70	288	0.950	bicubic
872	dla60x.in1k	93.080	6.920	98.500	1.500	17.35	224	0.875	bilinear
873	eca_resnext26ts.ch_in1k	93.060	6.940	98.400	1.600	10.30	288	1.000	bicubic
874	dla102.in1k	93.050	6.950	98.550	1.450	33.27	224	0.875	bilinear
875	regnety_016.pycls_in1k	93.040	6.960	98.370	1.630	11.20	224	0.875	bicubic
876	resnet50c.gluon_in1k	93.030	6.970	98.400	1.600	25.58	224	0.875	bicubic
877	rexnet_100.nav_in1k	93.020	6.980	98.190	1.810	4.80	224	0.875	bicubic
878	selecsls60.in1k	93.010	6.990	98.300	1.700	30.67	224	0.875	bicubic
879	repvgg_b1g4.rvgg_in1k	93.000	7.000	98.430	1.570	39.97	224	0.875	bilinear
880	ghostnetv2_160.in1k	92.990	7.010	98.230	1.770	12.39	224	0.875	bicubic
881	cs3darknet_focus_m.c2ns_in1k	92.970	7.030	98.390	1.610	9.30	288	0.950	bicubic
882	hardcorenas_f.miil_green_in1k	92.970	7.030	98.160	1.840	8.20	224	0.875	bilinear
883	convnextv2_atto.fcmae_ft_in1k	92.970	7.030	98.060	1.940	3.71	288	0.950	bicubic
884	seresnext26ts.ch_in1k	92.960	7.040	98.410	1.590	10.39	288	1.000	bicubic
885	poolformerv2_s12.sail_in1k	92.960	7.040	98.360	1.640	11.89	224	1.000	bicubic
886	legacy_seresnet50.in1k	92.960	7.040	98.180	1.820	28.09	224	0.875	bilinear
887	tf_efficientnet_em.in1k	92.940	7.060	98.190	1.810	6.90	240	0.882	bicubic
888	mobileone_s3.apple_in1k	92.940	7.060	98.180	1.820	10.17	224	0.900	bilinear
889	inception_v3.tf_adv_in1k	92.900	7.100	98.140	1.860	23.83	299	0.875	bicubic
890	crossvit_9_dagger_240.in1k	92.890	7.110	98.240	1.760	8.78	240	0.875	bicubic
891	res2next50.in1k	92.840	7.160	98.180	1.820	24.67	224	0.875	bilinear
892	tf_efficientnet_cc_b0_8e.in1k	92.840	7.160	98.180	1.820	24.01	224	0.875	bicubic
893	gmixer_24_224.ra3_in1k	92.830	7.170	97.880	2.120	24.72	224	0.875	bicubic
894	mobileone_s2.apple_in1k	92.820	7.180	98.270	1.730	7.88	224	0.900	bilinear
895	resmlp_12_224.fb_distilled_in1k	92.820	7.180	98.140	1.860	15.35	224	0.875	bicubic
896	resnet101.tv_in1k	92.810	7.190	98.250	1.750	44.55	224	0.875	bilinear
897	dpn68b.mx_in1k	92.790	7.210	98.150	1.850	12.61	224	0.875	bicubic
898	convnext_atto.d2_in1k	92.790	7.210	98.080	1.920	3.70	288	0.950	bicubic
899	efficientnet_b1_pruned.in1k	92.780	7.220	98.040	1.960	6.33	240	0.882	bicubic
900	hrnet_w18_small_v2.gluon_in1k	92.770	7.230	98.410	1.590	15.60	224	0.875	bicubic
901	res2net50_14w_8s.in1k	92.770	7.230	98.160	1.840	25.06	224	0.875	bilinear
902	resnext50_32x4d.tv_in1k	92.750	7.250	98.270	1.730	25.03	224	0.875	bilinear
903	densenet201.tv_in1k	92.740	7.260	98.230	1.770	20.01	224	0.875	bicubic
904	inception_v3.tv_in1k	92.730	7.270	97.970	2.030	23.83	299	0.875	bicubic
905	resnet50.a3_in1k	92.720	7.280	98.170	1.830	25.56	224	0.950	bicubic
906	resnet34.a2_in1k	92.720	7.280	98.010	1.990	21.80	288	1.000	bicubic
907	efficientnet_b0.ra_in1k	92.690	7.310	98.070	1.930	5.29	224	0.875	bicubic
908	tf_efficientnet_lite2.in1k	92.650	7.350	98.230	1.770	6.09	260	0.890	bicubic
909	legacy_seresnext26_32x4d.in1k	92.640	7.360	98.120	1.880	16.79	224	0.875	bicubic
910	tf_efficientnet_lite1.in1k	92.630	7.370	98.060	1.940	5.42	240	0.882	bicubic
911	densenetblur121d.ra_in1k	92.620	7.380	98.260	1.740	8.00	288	0.950	bicubic
912	poolformer_s12.sail_in1k	92.610	7.390	98.180	1.820	11.92	224	0.900	bicubic
913	tf_efficientnet_cc_b0_4e.in1k	92.600	7.400	98.080	1.920	13.31	224	0.875	bicubic
914	hardcorenas_e.miil_green_in1k	92.570	7.430	98.100	1.900	8.07	224	0.875	bilinear
915	regnetx_008.tv2_in1k	92.550	7.450	98.180	1.820	7.26	224	0.965	bicubic
916	res2net50_48w_2s.in1k	92.550	7.450	98.080	1.920	25.29	224	0.875	bilinear
917	resnet50.gluon_in1k	92.540	7.460	98.170	1.830	25.56	224	0.875	bicubic
918	fastvit_t8.apple_dist_in1k	92.540	7.460	98.040	1.960	4.03	256	0.900	bicubic
919	densenet121.ra_in1k	92.520	7.480	98.220	1.780	7.98	288	0.950	bicubic
920	resnet26d.bt_in1k	92.520	7.480	98.210	1.790	16.01	288	0.950	bicubic
921	xcit_tiny_12_p16_224.fb_in1k	92.510	7.490	98.240	1.760	6.72	224	1.000	bicubic
922	res2net50_26w_4s.in1k	92.490	7.510	98.030	1.970	25.70	224	0.875	bilinear
923	densenet161.tv_in1k	92.480	7.520	98.300	1.700	28.68	224	0.875	bicubic
924	efficientvit_m5.r224_in1k	92.460	7.540	97.990	2.010	12.47	224	0.875	bicubic
925	tinynet_a.in1k	92.440	7.560	98.080	1.920	6.19	192	0.875	bicubic
926	resnet34.bt_in1k	92.410	7.590	98.150	1.850	21.80	288	0.950	bicubic
927	mixnet_m.ft_in1k	92.410	7.590	97.870	2.130	5.01	224	0.875	bicubic
928	convmixer_1024_20_ks9_p14.in1k	92.400	7.600	98.270	1.730	24.38	224	0.960	bicubic
929	hardcorenas_d.miil_green_in1k	92.400	7.600	98.080	1.920	7.50	224	0.875	bilinear
930	mobilenetv2_120d.ra_in1k	92.400	7.600	98.060	1.940	5.83	224	0.875	bicubic
931	skresnet34.ra_in1k	92.380	7.620	98.150	1.850	22.28	224	0.875	bicubic
932	repghostnet_150.in1k	92.370	7.630	98.050	1.950	6.58	224	0.875	bicubic
933	hrnet_w18.ms_in1k	92.320	7.680	98.260	1.740	21.30	224	0.875	bilinear
934	ghostnetv2_130.in1k	92.320	7.680	98.070	1.930	8.96	224	0.875	bicubic
935	tf_mixnet_m.in1k	92.300	7.700	97.890	2.110	5.01	224	0.875	bicubic
936	selecsls42b.in1k	92.290	7.710	98.110	1.890	32.46	224	0.875	bicubic
937	mobilenetv3_large_100.miil_in21k_ft_in1k	92.260	7.740	97.620	2.380	5.48	224	0.875	bilinear
938	tf_efficientnet_b0.aa_in1k	92.240	7.760	98.000	2.000	5.29	224	0.875	bicubic
939	resmlp_12_224.fb_in1k	92.220	7.780	98.150	1.850	15.35	224	0.875	bicubic
940	dla60.in1k	92.200	7.800	98.100	1.900	22.04	224	0.875	bilinear
941	tf_efficientnet_b0.ap_in1k	92.200	7.800	98.020	1.980	5.29	224	0.875	bicubic
942	regnetx_016.pycls_in1k	92.180	7.820	98.200	1.800	9.19	224	0.875	bicubic
943	gernet_s.idstcv_in1k	92.130	7.870	98.190	1.810	8.17	224	0.875	bilinear
944	resnext26ts.ra2_in1k	92.130	7.870	98.030	1.970	10.30	288	1.000	bicubic
945	xcit_nano_12_p8_224.fb_dist_in1k	92.080	7.920	98.160	1.840	3.05	224	1.000	bicubic
946	tf_efficientnet_b0.in1k	92.080	7.920	97.910	2.090	5.29	224	0.875	bicubic
947	seresnet50.a3_in1k	92.070	7.930	98.040	1.960	28.09	224	0.950	bicubic
948	fastvit_t8.apple_in1k	92.060	7.940	97.930	2.070	4.03	256	0.900	bicubic
949	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	92.040	7.960	98.290	1.710	6.36	384	1.000	bicubic
950	vit_small_patch32_224.augreg_in21k_ft_in1k	92.040	7.960	98.230	1.770	22.88	224	0.900	bicubic
951	hardcorenas_c.miil_green_in1k	92.020	7.980	97.840	2.160	5.52	224	0.875	bilinear
952	resnet26.bt_in1k	91.990	8.010	98.220	1.780	16.00	288	0.950	bicubic
953	dpn68.mx_in1k	91.990	8.010	98.020	1.980	12.61	224	0.875	bicubic
954	tf_efficientnet_es.in1k	91.970	8.030	97.880	2.120	5.44	224	0.875	bicubic
955	levit_128s.fb_dist_in1k	91.960	8.040	98.060	1.940	7.78	224	0.900	bicubic
956	levit_conv_128s.fb_dist_in1k	91.960	8.040	98.060	1.940	7.78	224	0.900	bicubic
957	efficientformerv2_s0.snap_dist_in1k	91.960	8.040	97.890	2.110	3.60	224	0.950	bicubic
958	repvgg_a2.rvgg_in1k	91.940	8.060	98.140	1.860	28.21	224	0.875	bilinear
959	densenet169.tv_in1k	91.940	8.060	98.100	1.900	14.15	224	0.875	bicubic
960	repghostnet_130.in1k	91.890	8.110	97.930	2.070	5.48	224	0.875	bicubic
961	resnet50.tv_in1k	91.880	8.120	98.040	1.960	25.56	224	0.875	bilinear
962	mixer_b16_224.goog_in21k_ft_in1k	91.880	8.120	97.260	2.740	59.88	224	0.875	bicubic
963	mobilenetv2_140.ra_in1k	91.840	8.160	97.860	2.140	6.11	224	0.875	bicubic
964	xcit_nano_12_p16_384.fb_dist_in1k	91.830	8.170	98.020	1.980	3.05	384	1.000	bicubic
965	mixnet_s.ft_in1k	91.820	8.180	97.700	2.300	4.13	224	0.875	bicubic
966	vit_tiny_patch16_224.augreg_in21k_ft_in1k	91.770	8.230	98.040	1.960	5.72	224	0.900	bicubic
967	mobilevitv2_075.cvnets_in1k	91.760	8.240	97.860	2.140	2.87	256	0.888	bicubic
968	hardcorenas_b.miil_green_in1k	91.760	8.240	97.780	2.220	5.18	224	0.875	bilinear
969	regnety_008.pycls_in1k	91.730	8.270	98.180	1.820	6.26	224	0.875	bicubic
970	resnest14d.gluon_in1k	91.720	8.280	97.870	2.130	10.61	224	0.875	bilinear
971	edgenext_x_small.in1k	91.710	8.290	97.600	2.400	2.34	288	1.000	bicubic
972	regnety_004.tv2_in1k	91.580	8.420	97.890	2.110	4.34	224	0.965	bicubic
973	tf_mixnet_s.in1k	91.520	8.480	97.620	2.380	4.13	224	0.875	bicubic
974	repvgg_b0.rvgg_in1k	91.390	8.610	98.000	2.000	15.82	224	0.875	bilinear
975	regnety_006.pycls_in1k	91.390	8.610	97.700	2.300	6.06	224	0.875	bicubic
976	hardcorenas_a.miil_green_in1k	91.350	8.650	97.850	2.150	5.26	224	0.875	bilinear
977	mobilenetv3_large_100.ra_in1k	91.350	8.650	97.710	2.290	5.48	224	0.875	bicubic
978	semnasnet_100.rmsp_in1k	91.310	8.690	97.560	2.440	3.89	224	0.875	bicubic
979	mobileone_s1.apple_in1k	91.280	8.720	97.820	2.180	4.83	224	0.900	bilinear
980	tf_mobilenetv3_large_100.in1k	91.230	8.770	97.660	2.340	5.48	224	0.875	bilinear
981	mobilenetv3_rw.rmsp_in1k	91.210	8.790	97.660	2.340	5.48	224	0.875	bicubic
982	hrnet_w18_small_v2.ms_in1k	91.200	8.800	97.900	2.100	15.60	224	0.875	bilinear
983	vit_base_patch32_224.augreg_in1k	91.190	8.810	97.390	2.610	88.22	224	0.900	bicubic
984	efficientnet_es_pruned.in1k	91.170	8.830	97.740	2.260	5.44	224	0.875	bicubic
985	efficientnet_lite0.ra_in1k	91.120	8.880	97.640	2.360	4.65	224	0.875	bicubic
986	regnetx_008.pycls_in1k	91.050	8.950	97.720	2.280	7.26	224	0.875	bicubic
987	tf_efficientnet_lite0.in1k	91.050	8.950	97.580	2.420	4.65	224	0.875	bicubic
988	xcit_nano_12_p8_224.fb_in1k	91.010	8.990	97.770	2.230	3.05	224	1.000	bicubic
989	resnet34.gluon_in1k	90.980	9.020	97.630	2.370	21.80	224	0.875	bicubic
990	mobilenetv2_110d.ra_in1k	90.960	9.040	97.540	2.460	4.52	224	0.875	bicubic
991	tinynet_b.in1k	90.920	9.080	97.660	2.340	3.73	188	0.875	bicubic
992	ghostnetv2_100.in1k	90.900	9.100	97.700	2.300	6.16	224	0.875	bicubic
993	legacy_seresnet34.in1k	90.900	9.100	97.580	2.420	21.96	224	0.875	bilinear
994	densenet121.tv_in1k	90.890	9.110	97.710	2.290	7.98	224	0.875	bicubic
995	mobilevit_xs.cvnets_in1k	90.820	9.180	97.930	2.070	2.32	256	0.900	bicubic
996	pit_ti_distilled_224.in1k	90.770	9.230	97.610	2.390	5.10	224	0.900	bicubic
997	dla34.in1k	90.760	9.240	97.650	2.350	15.74	224	0.875	bilinear
998	fbnetc_100.rmsp_in1k	90.730	9.270	97.210	2.790	5.57	224	0.875	bilinear
999	deit_tiny_distilled_patch16_224.fb_in1k	90.710	9.290	97.560	2.440	5.91	224	0.900	bicubic
1000	repghostnet_111.in1k	90.710	9.290	97.470	2.530	4.54	224	0.875	bicubic
1001	resnet18.fb_swsl_ig1b_ft_in1k	90.700	9.300	97.700	2.300	11.69	224	0.875	bilinear
1002	convit_tiny.fb_in1k	90.660	9.340	97.730	2.270	5.71	224	0.875	bicubic
1003	regnetx_004_tv.tv2_in1k	90.640	9.360	97.600	2.400	5.50	224	0.965	bicubic
1004	crossvit_9_240.in1k	90.630	9.370	97.730	2.270	8.55	240	0.875	bicubic
1005	repvgg_a1.rvgg_in1k	90.600	9.400	97.650	2.350	14.09	224	0.875	bilinear
1006	efficientvit_m4.r224_in1k	90.580	9.420	97.530	2.470	8.80	224	0.875	bicubic
1007	mnasnet_100.rmsp_in1k	90.500	9.500	97.470	2.530	4.38	224	0.875	bicubic
1008	regnety_004.pycls_in1k	90.490	9.510	97.530	2.470	4.34	224	0.875	bicubic
1009	regnetx_006.pycls_in1k	90.350	9.650	97.430	2.570	6.20	224	0.875	bicubic
1010	spnasnet_100.rmsp_in1k	90.330	9.670	97.190	2.810	4.42	224	0.875	bilinear
1011	repghostnet_100.in1k	90.290	9.710	97.480	2.520	4.07	224	0.875	bicubic
1012	resnet18d.ra2_in1k	90.280	9.720	97.560	2.440	11.71	288	0.950	bicubic
1013	crossvit_tiny_240.in1k	90.230	9.770	97.590	2.410	7.01	240	0.875	bicubic
1014	resnet18.fb_ssl_yfcc100m_ft_in1k	90.210	9.790	97.550	2.450	11.69	224	0.875	bilinear
1015	ghostnet_100.in1k	90.180	9.820	97.290	2.710	5.18	224	0.875	bicubic
1016	vgg16_bn.tv_in1k	90.090	9.910	97.370	2.630	138.37	224	0.875	bilinear
1017	vgg19_bn.tv_in1k	90.080	9.920	97.580	2.420	143.68	224	0.875	bilinear
1018	semnasnet_075.rmsp_in1k	90.070	9.930	97.440	2.560	2.91	224	0.875	bicubic
1019	resnet34.tv_in1k	89.950	10.050	97.340	2.660	21.80	224	0.875	bilinear
1020	pit_ti_224.in1k	89.940	10.060	97.450	2.550	4.85	224	0.900	bicubic
1021	resnet34.a3_in1k	89.940	10.060	97.180	2.820	21.80	224	0.950	bicubic
1022	efficientvit_m3.r224_in1k	89.860	10.140	97.540	2.460	6.90	224	0.875	bicubic
1023	vit_base_patch32_224.sam_in1k	89.740	10.260	97.000	3.000	88.22	224	0.900	bicubic
1024	xcit_nano_12_p16_224.fb_dist_in1k	89.700	10.300	97.100	2.900	3.05	224	1.000	bicubic
1025	resnet18.a1_in1k	89.680	10.320	97.100	2.900	11.69	288	1.000	bicubic
1026	deit_tiny_patch16_224.fb_in1k	89.660	10.340	97.450	2.550	5.72	224	0.900	bicubic
1027	skresnet18.ra_in1k	89.660	10.340	97.230	2.770	11.96	224	0.875	bicubic
1028	tf_mobilenetv3_large_075.in1k	89.640	10.360	97.190	2.810	3.99	224	0.875	bilinear
1029	mobilenetv2_100.ra_in1k	89.600	10.400	97.150	2.850	3.50	224	0.875	bicubic
1030	resnet18.a2_in1k	89.570	10.430	96.960	3.040	11.69	288	1.000	bicubic
1031	hrnet_w18_small.gluon_in1k	89.470	10.530	97.060	2.940	13.19	224	0.875	bicubic
1032	repvgg_a0.rvgg_in1k	89.280	10.720	96.890	3.110	9.11	224	0.875	bilinear
1033	vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	89.180	10.820	97.220	2.780	6.34	224	0.900	bicubic
1034	hrnet_w18_small.ms_in1k	89.050	10.950	97.120	2.880	13.19	224	0.875	bilinear
1035	vgg19.tv_in1k	89.050	10.950	96.870	3.130	143.67	224	0.875	bilinear
1036	resnet14t.c3_in1k	88.990	11.010	96.730	3.270	10.08	224	0.950	bicubic
1037	tf_mobilenetv3_large_minimal_100.in1k	88.950	11.050	96.860	3.140	3.92	224	0.875	bilinear
1038	regnetx_004.pycls_in1k	88.930	11.070	97.120	2.880	5.16	224	0.875	bicubic
1039	legacy_seresnet18.in1k	88.890	11.110	96.980	3.020	11.78	224	0.875	bicubic
1040	edgenext_xx_small.in1k	88.890	11.110	96.700	3.300	1.33	288	1.000	bicubic
1041	repghostnet_080.in1k	88.840	11.160	96.700	3.300	3.28	224	0.875	bicubic
1042	pvt_v2_b0.in1k	88.780	11.220	96.860	3.140	3.67	224	0.900	bicubic
1043	vgg13_bn.tv_in1k	88.750	11.250	96.980	3.020	133.05	224	0.875	bilinear
1044	lcnet_100.ra2_in1k	88.750	11.250	96.720	3.280	2.95	224	0.875	bicubic
1045	xcit_nano_12_p16_224.fb_in1k	88.620	11.380	96.790	3.210	3.05	224	1.000	bicubic
1046	vgg16.tv_in1k	88.560	11.440	96.800	3.200	138.36	224	0.875	bilinear
1047	efficientvit_m2.r224_in1k	88.470	11.530	96.900	3.100	4.19	224	0.875	bicubic
1048	resnet18.gluon_in1k	88.370	11.630	96.670	3.330	11.69	224	0.875	bicubic
1049	mobileone_s0.apple_in1k	88.230	11.770	96.400	3.600	5.29	224	0.875	bilinear
1050	mobilevitv2_050.cvnets_in1k	88.180	11.820	96.990	3.010	1.37	256	0.888	bicubic
1051	efficientvit_b0.r224_in1k	87.940	12.060	96.130	3.870	3.41	224	0.950	bicubic
1052	tinynet_c.in1k	87.780	12.220	96.370	3.630	2.46	184	0.875	bicubic
1053	vgg11_bn.tv_in1k	87.500	12.500	96.820	3.180	132.87	224	0.875	bilinear
1054	resnet18.tv_in1k	87.380	12.620	96.290	3.710	11.69	224	0.875	bilinear
1055	regnety_002.pycls_in1k	87.370	12.630	96.610	3.390	3.16	224	0.875	bicubic
1056	mobilevit_xxs.cvnets_in1k	87.160	12.840	96.100	3.900	1.27	256	0.900	bicubic
1057	mixer_l16_224.goog_in21k_ft_in1k	87.150	12.850	93.520	6.480	208.20	224	0.875	bicubic
1058	vgg13.tv_in1k	87.040	12.960	96.330	3.670	133.05	224	0.875	bilinear
1059	efficientvit_m1.r224_in1k	86.790	13.210	96.030	3.970	2.98	224	0.875	bicubic
1060	vgg11.tv_in1k	86.580	13.420	96.280	3.720	132.86	224	0.875	bilinear
1061	repghostnet_058.in1k	86.540	13.460	95.900	4.100	2.55	224	0.875	bicubic
1062	resnet18.a3_in1k	86.450	13.550	95.880	4.120	11.69	224	0.950	bicubic
1063	dla60x_c.in1k	86.290	13.710	96.160	3.840	1.32	224	0.875	bilinear
1064	resnet10t.c3_in1k	86.220	13.780	95.740	4.260	5.44	224	0.950	bicubic
1065	regnetx_002.pycls_in1k	86.140	13.860	95.970	4.030	2.68	224	0.875	bicubic
1066	lcnet_075.ra2_in1k	85.970	14.030	95.680	4.320	2.36	224	0.875	bicubic
1067	mobilenetv3_small_100.lamb_in1k	85.220	14.780	95.650	4.350	2.54	224	0.875	bicubic
1068	tf_mobilenetv3_small_100.in1k	85.190	14.810	95.770	4.230	2.54	224	0.875	bilinear
1069	repghostnet_050.in1k	85.060	14.940	95.200	4.800	2.31	224	0.875	bicubic
1070	tinynet_d.in1k	84.720	15.280	95.170	4.830	2.34	152	0.875	bicubic
1071	mnasnet_small.lamb_in1k	84.420	15.580	95.190	4.810	2.03	224	0.875	bicubic
1072	dla46x_c.in1k	84.230	15.770	95.270	4.730	1.07	224	0.875	bilinear
1073	mobilenetv2_050.lamb_in1k	83.910	16.090	94.720	5.280	1.97	224	0.875	bicubic
1074	dla46_c.in1k	83.610	16.390	94.950	5.050	1.30	224	0.875	bilinear
1075	tf_mobilenetv3_small_075.in1k	83.500	16.500	94.840	5.160	2.04	224	0.875	bilinear
1076	mobilenetv3_small_075.lamb_in1k	83.030	16.970	94.100	5.900	2.04	224	0.875	bicubic
1077	efficientvit_m0.r224_in1k	82.350	17.650	94.430	5.570	2.35	224	0.875	bicubic
1078	lcnet_050.ra2_in1k	81.800	18.200	93.710	6.290	1.88	224	0.875	bicubic
1079	tf_mobilenetv3_small_minimal_100.in1k	81.400	18.600	93.680	6.320	2.04	224	0.875	bilinear
1080	tinynet_e.in1k	78.920	21.080	92.540	7.460	2.04	106	0.875	bicubic
1081	mobilenetv3_small_050.lamb_in1k	77.020	22.980	91.300	8.700	1.59	224	0.875	bicubic