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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	crop_pct	interpolation
2	eva_giant_patch14_336.m30m_ft_in22k_in1k	98.000	2.000	99.900	0.100	1,013.01	336	1.000	bicubic
3	eva_giant_patch14_560.m30m_ft_in22k_in1k	97.990	2.010	99.860	0.140	1,014.45	560	1.000	bicubic
4	eva_large_patch14_336.in22k_ft_in22k_in1k	97.860	2.140	99.880	0.120	304.53	336	1.000	bicubic
5	eva_giant_patch14_336.clip_ft_in1k	97.860	2.140	99.790	0.210	1,013.01	336	1.000	bicubic
6	eva_large_patch14_336.in22k_ft_in1k	97.810	2.190	99.840	0.160	304.53	336	1.000	bicubic
7	beit_large_patch16_384.in22k_ft_in22k_in1k	97.810	2.190	99.790	0.210	305.00	384	1.000	bicubic
8	tf_efficientnet_l2.ns_jft_in1k	97.780	2.220	99.890	0.110	480.31	800	0.960	bicubic
9	beit_large_patch16_512.in22k_ft_in22k_in1k	97.780	2.220	99.820	0.180	305.67	512	1.000	bicubic
10	maxvit_base_tf_512.in21k_ft_in1k	97.760	2.240	99.860	0.140	119.88	512	1.000	bicubic
11	maxvit_xlarge_tf_512.in21k_ft_in1k	97.760	2.240	99.820	0.180	475.77	512	1.000	bicubic
12	tf_efficientnet_l2.ns_jft_in1k_475	97.750	2.250	99.820	0.180	480.31	475	0.936	bicubic
13	beitv2_large_patch16_224.in1k_ft_in22k_in1k	97.750	2.250	99.790	0.210	304.43	224	0.950	bicubic
14	maxvit_xlarge_tf_384.in21k_ft_in1k	97.740	2.260	99.850	0.150	475.32	384	1.000	bicubic
15	eva_giant_patch14_224.clip_ft_in1k	97.680	2.320	99.750	0.250	1,012.56	224	1.000	bicubic
16	maxvit_large_tf_384.in21k_ft_in1k	97.670	2.330	99.820	0.180	212.03	384	1.000	bicubic
17	maxvit_large_tf_512.in21k_ft_in1k	97.670	2.330	99.730	0.270	212.33	512	1.000	bicubic
18	eva_large_patch14_196.in22k_ft_in22k_in1k	97.610	2.390	99.810	0.190	304.14	196	1.000	bicubic
19	vit_large_patch14_clip_224.openai_ft_in12k_in1k	97.610	2.390	99.730	0.270	304.20	224	1.000	bicubic
20	vit_large_patch14_clip_336.openai_ft_in12k_in1k	97.610	2.390	99.730	0.270	304.53	336	1.000	bicubic
21	vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k	97.600	2.400	99.780	0.220	632.46	336	1.000	bicubic
22	convnext_xlarge.fb_in22k_ft_in1k_384	97.590	2.410	99.770	0.230	350.20	384	1.000	bicubic
23	maxvit_base_tf_384.in21k_ft_in1k	97.560	2.440	99.760	0.240	119.65	384	1.000	bicubic
24	deit3_large_patch16_384_in21ft1k	97.560	2.440	99.710	0.290	304.76	384	1.000	bicubic
25	eva_large_patch14_196.in22k_ft_in1k	97.520	2.480	99.790	0.210	304.14	196	1.000	bicubic
26	beit_large_patch16_224.in22k_ft_in22k_in1k	97.480	2.520	99.690	0.310	304.43	224	0.900	bicubic
27	vit_large_patch14_clip_224.openai_ft_in1k	97.460	2.540	99.680	0.320	304.20	224	1.000	bicubic
28	convnext_xlarge.fb_in22k_ft_in1k	97.450	2.550	99.820	0.180	350.20	288	1.000	bicubic
29	vit_large_patch14_clip_336.laion2b_ft_in12k_in1k	97.450	2.550	99.780	0.220	304.53	336	1.000	bicubic
30	vit_large_patch16_384.augreg_in21k_ft_in1k	97.420	2.580	99.780	0.220	304.72	384	1.000	bicubic
31	vit_large_patch14_clip_224.laion2b_ft_in12k_in1k	97.390	2.610	99.740	0.260	304.20	224	1.000	bicubic
32	vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k	97.360	2.640	99.800	0.200	632.05	224	1.000	bicubic
33	beit_base_patch16_384.in22k_ft_in22k_in1k	97.330	2.670	99.720	0.280	86.74	384	1.000	bicubic
34	tf_efficientnetv2_xl.in21k_ft_in1k	97.330	2.670	99.600	0.400	208.12	512	1.000	bicubic
35	tf_efficientnetv2_l.in21k_ft_in1k	97.320	2.680	99.640	0.360	118.52	480	1.000	bicubic
36	convnext_large.fb_in22k_ft_in1k_384	97.310	2.690	99.760	0.240	197.77	384	1.000	bicubic
37	deit3_large_patch16_224_in21ft1k	97.310	2.690	99.680	0.320	304.37	224	1.000	bicubic
38	swinv2_large_window12to24_192to384_22kft1k	97.290	2.710	99.780	0.220	196.74	384	1.000	bicubic
39	volo_d5_512	97.290	2.710	99.760	0.240	296.09	512	1.150	bicubic
40	swinv2_base_window12to24_192to384_22kft1k	97.260	2.740	99.790	0.210	87.92	384	1.000	bicubic
41	deit3_huge_patch14_224_in21ft1k	97.250	2.750	99.720	0.280	632.13	224	1.000	bicubic
42	convnext_base.fb_in22k_ft_in1k_384	97.250	2.750	99.710	0.290	88.59	384	1.000	bicubic
43	volo_d5_448	97.240	2.760	99.740	0.260	295.91	448	1.150	bicubic
44	swinv2_large_window12to16_192to256_22kft1k	97.240	2.760	99.710	0.290	196.74	256	0.900	bicubic
45	deit3_base_patch16_384_in21ft1k	97.240	2.760	99.670	0.330	86.88	384	1.000	bicubic
46	vit_large_patch14_clip_336.laion2b_ft_in1k	97.230	2.770	99.720	0.280	304.53	336	1.000	bicubic
47	convnext_base.fb_in22k_ft_in1k	97.220	2.780	99.760	0.240	88.59	288	1.000	bicubic
48	convnext_large.fb_in22k_ft_in1k	97.220	2.780	99.730	0.270	197.77	288	1.000	bicubic
49	vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	97.220	2.780	99.700	0.300	86.86	384	1.000	bicubic
50	tf_efficientnet_b7.ns_jft_in1k	97.200	2.800	99.700	0.300	66.35	600	0.949	bicubic
51	maxvit_base_tf_512.in1k	97.180	2.820	99.640	0.360	119.88	512	1.000	bicubic
52	maxvit_small_tf_512.in1k	97.180	2.820	99.620	0.380	69.13	512	1.000	bicubic
53	swin_large_patch4_window12_384	97.170	2.830	99.680	0.320	196.74	384	1.000	bicubic
54	vit_base_patch16_clip_384.openai_ft_in12k_in1k	97.140	2.860	99.640	0.360	86.86	384	0.950	bicubic
55	swin_base_patch4_window12_384	97.120	2.880	99.780	0.220	87.90	384	1.000	bicubic
56	maxvit_base_tf_384.in1k	97.120	2.880	99.570	0.430	119.65	384	1.000	bicubic
57	vit_huge_patch14_clip_224.laion2b_ft_in1k	97.100	2.900	99.700	0.300	632.05	224	1.000	bicubic
58	convnext_small.fb_in22k_ft_in1k_384	97.100	2.900	99.640	0.360	50.22	384	1.000	bicubic
59	vit_base_patch8_224.augreg_in21k_ft_in1k	97.080	2.920	99.620	0.380	86.58	224	0.900	bicubic
60	volo_d4_448	97.070	2.930	99.750	0.250	193.41	448	1.150	bicubic
61	swinv2_base_window12to16_192to256_22kft1k	97.060	2.940	99.660	0.340	87.92	256	0.900	bicubic
62	maxvit_large_tf_512.in1k	97.050	2.950	99.590	0.410	212.33	512	1.000	bicubic
63	tf_efficientnet_b6.ns_jft_in1k	97.020	2.980	99.710	0.290	43.04	528	0.942	bicubic
64	vit_base_patch16_384.augreg_in21k_ft_in1k	97.020	2.980	99.710	0.290	86.86	384	1.000	bicubic
65	volo_d3_448	97.020	2.980	99.680	0.320	86.63	448	1.000	bicubic
66	vit_large_patch14_clip_224.laion2b_ft_in1k	97.020	2.980	99.670	0.330	304.20	224	1.000	bicubic
67	tf_efficientnetv2_m.in21k_ft_in1k	97.000	3.000	99.630	0.370	54.14	480	1.000	bicubic
68	ig_resnext101_32x48d	96.970	3.030	99.670	0.330	828.41	224	0.875	bilinear
69	maxvit_tiny_tf_512.in1k	96.970	3.030	99.670	0.330	31.05	512	1.000	bicubic
70	vit_large_r50_s32_384.augreg_in21k_ft_in1k	96.950	3.050	99.710	0.290	329.09	384	1.000	bicubic
71	swin_large_patch4_window7_224	96.950	3.050	99.660	0.340	196.53	224	0.900	bicubic
72	vit_base_patch8_224.augreg2_in21k_ft_in1k	96.940	3.060	99.640	0.360	86.58	224	0.900	bicubic
73	maxvit_large_tf_384.in1k	96.940	3.060	99.580	0.420	212.03	384	1.000	bicubic
74	xcit_large_24_p16_384_dist	96.940	3.060	99.520	0.480	189.10	384	1.000	bicubic
75	dm_nfnet_f6	96.920	3.080	99.720	0.280	438.36	576	0.956	bicubic
76	beitv2_base_patch16_224.in1k_ft_in22k_in1k	96.910	3.090	99.730	0.270	86.53	224	0.900	bicubic
77	vit_base_patch16_clip_384.laion2b_ft_in1k	96.910	3.090	99.670	0.330	86.86	384	1.000	bicubic
78	volo_d5_224	96.880	3.120	99.670	0.330	295.46	224	0.960	bicubic
79	cait_m48_448	96.880	3.120	99.620	0.380	356.46	448	1.000	bicubic
80	resnetv2_152x4_bitm	96.870	3.130	99.660	0.340	936.53	480	1.000	bilinear
81	tf_efficientnet_b5.ns_jft_in1k	96.870	3.130	99.640	0.360	30.39	456	0.934	bicubic
82	deit3_base_patch16_224_in21ft1k	96.870	3.130	99.620	0.380	86.59	224	1.000	bicubic
83	deit3_large_patch16_384	96.850	3.150	99.620	0.380	304.76	384	1.000	bicubic
84	cait_m36_384	96.830	3.170	99.660	0.340	271.22	384	1.000	bicubic
85	vit_base_patch16_clip_384.openai_ft_in1k	96.820	3.180	99.660	0.340	86.86	384	1.000	bicubic
86	xcit_small_24_p8_384_dist	96.820	3.180	99.630	0.370	47.63	384	1.000	bicubic
87	dm_nfnet_f5	96.810	3.190	99.670	0.330	377.21	544	0.954	bicubic
88	convnext_small.fb_in22k_ft_in1k	96.810	3.190	99.510	0.490	50.22	288	1.000	bicubic
89	volo_d4_224	96.780	3.220	99.670	0.330	192.96	224	0.960	bicubic
90	dm_nfnet_f4	96.780	3.220	99.620	0.380	316.07	512	0.951	bicubic
91	flexivit_large.1200ep_in1k	96.780	3.220	99.610	0.390	304.36	240	0.950	bicubic
92	xcit_medium_24_p8_384_dist	96.780	3.220	99.610	0.390	84.32	384	1.000	bicubic
93	ig_resnext101_32x32d	96.780	3.220	99.530	0.470	468.53	224	0.875	bilinear
94	efficientnet_b5.in12k_ft_in1k	96.770	3.230	99.600	0.400	30.39	448	1.000	bicubic
95	xcit_large_24_p8_384_dist	96.760	3.240	99.560	0.440	188.93	384	1.000	bicubic
96	maxvit_small_tf_384.in1k	96.740	3.260	99.600	0.400	69.02	384	1.000	bicubic
97	flexivit_large.600ep_in1k	96.740	3.260	99.550	0.450	304.36	240	0.950	bicubic
98	tf_efficientnetv2_l.in1k	96.740	3.260	99.550	0.450	118.52	480	1.000	bicubic
99	dm_nfnet_f3	96.730	3.270	99.630	0.370	254.92	416	0.940	bicubic
100	vit_large_patch16_224.augreg_in21k_ft_in1k	96.710	3.290	99.650	0.350	304.33	224	0.900	bicubic
101	tf_efficientnet_b4.ns_jft_in1k	96.710	3.290	99.640	0.360	19.34	380	0.922	bicubic
102	volo_d2_384	96.710	3.290	99.600	0.400	58.87	384	1.000	bicubic
103	xcit_medium_24_p16_384_dist	96.700	3.300	99.600	0.400	84.40	384	1.000	bicubic
104	tf_efficientnet_b8.ra_in1k	96.700	3.300	99.530	0.470	87.41	672	0.954	bicubic
105	flexivit_large.300ep_in1k	96.690	3.310	99.580	0.420	304.36	240	0.950	bicubic
106	swin_base_patch4_window7_224	96.680	3.320	99.660	0.340	87.77	224	0.900	bicubic
107	deit3_small_patch16_384_in21ft1k	96.670	3.330	99.640	0.360	22.21	384	1.000	bicubic
108	beit_base_patch16_224.in22k_ft_in22k_in1k	96.660	3.340	99.660	0.340	86.53	224	0.900	bicubic
109	xcit_large_24_p8_224_dist	96.640	3.360	99.460	0.540	188.93	224	1.000	bicubic
110	cait_s36_384	96.630	3.370	99.600	0.400	68.37	384	1.000	bicubic
111	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	96.610	3.390	99.480	0.520	88.30	384	1.000	bicubic
112	regnetz_e8	96.600	3.400	99.610	0.390	57.70	320	1.000	bicubic
113	maxvit_tiny_tf_384.in1k	96.600	3.400	99.560	0.440	30.98	384	1.000	bicubic
114	vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	96.600	3.400	99.560	0.440	86.57	224	0.950	bicubic
115	tf_efficientnet_b7.ra_in1k	96.580	3.420	99.510	0.490	66.35	600	0.949	bicubic
116	cait_s24_384	96.570	3.430	99.550	0.450	47.06	384	1.000	bicubic
117	deit3_huge_patch14_224	96.570	3.430	99.520	0.480	632.13	224	0.900	bicubic
118	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	96.570	3.430	99.520	0.480	88.34	448	1.000	bicubic
119	xcit_small_24_p8_224_dist	96.550	3.450	99.570	0.430	47.63	224	1.000	bicubic
120	tf_efficientnet_b8.ap_in1k	96.550	3.450	99.540	0.460	87.41	672	0.954	bicubic
121	resnetv2_152x2_bitm	96.520	3.480	99.590	0.410	236.34	448	1.000	bilinear
122	xcit_medium_24_p8_224_dist	96.520	3.480	99.510	0.490	84.32	224	1.000	bicubic
123	vit_medium_patch16_gap_384.in12k_ft_in1k	96.510	3.490	99.620	0.380	39.03	384	0.950	bicubic
124	deit_base_distilled_patch16_384	96.510	3.490	99.590	0.410	87.63	384	1.000	bicubic
125	vit_base_patch16_224.augreg2_in21k_ft_in1k	96.510	3.490	99.560	0.440	86.57	224	0.900	bicubic
126	vit_base_patch16_clip_224.openai_ft_in12k_in1k	96.510	3.490	99.550	0.450	86.57	224	0.950	bicubic
127	tf_efficientnetv2_m.in1k	96.480	3.520	99.610	0.390	54.14	480	1.000	bicubic
128	xcit_small_12_p8_384_dist	96.480	3.520	99.490	0.510	26.21	384	1.000	bicubic
129	tf_efficientnetv2_s.in21k_ft_in1k	96.470	3.530	99.570	0.430	21.46	384	1.000	bicubic
130	volo_d1_384	96.470	3.530	99.550	0.450	26.78	384	1.000	bicubic
131	ecaresnet269d	96.460	3.540	99.610	0.390	102.09	352	1.000	bicubic
132	dm_nfnet_f2	96.460	3.540	99.540	0.460	193.78	352	0.920	bicubic
133	vit_base_r50_s16_384.orig_in21k_ft_in1k	96.450	3.550	99.660	0.340	98.95	384	1.000	bicubic
134	eca_nfnet_l2	96.450	3.550	99.620	0.380	56.72	384	1.000	bicubic
135	volo_d3_224	96.450	3.550	99.620	0.380	86.33	224	0.960	bicubic
136	ig_resnext101_32x16d	96.440	3.560	99.540	0.460	194.03	224	0.875	bilinear
137	seresnextaa101d_32x8d	96.420	3.580	99.520	0.480	93.59	288	1.000	bicubic
138	volo_d2_224	96.420	3.580	99.500	0.500	58.68	224	0.960	bicubic
139	vit_base_patch32_clip_384.openai_ft_in12k_in1k	96.420	3.580	99.460	0.540	88.30	384	0.950	bicubic
140	mvitv2_large	96.410	3.590	99.450	0.550	217.99	224	0.900	bicubic
141	resnetrs420	96.400	3.600	99.540	0.460	191.89	416	1.000	bicubic
142	convnext_large.fb_in1k	96.400	3.600	99.530	0.470	197.77	288	1.000	bicubic
143	dm_nfnet_f1	96.390	3.610	99.470	0.530	132.63	320	0.910	bicubic
144	tf_efficientnet_b6.ap_in1k	96.370	3.630	99.550	0.450	43.04	528	0.942	bicubic
145	seresnext101d_32x8d	96.360	3.640	99.470	0.530	93.59	288	1.000	bicubic
146	tf_efficientnet_b7.ap_in1k	96.350	3.650	99.590	0.410	66.35	600	0.949	bicubic
147	resmlp_big_24_224_in22ft1k	96.350	3.650	99.520	0.480	129.14	224	0.875	bicubic
148	maxvit_base_tf_224.in1k	96.350	3.650	99.370	0.630	119.47	224	0.950	bicubic
149	xcit_small_24_p16_384_dist	96.340	3.660	99.580	0.420	47.67	384	1.000	bicubic
150	resnetrs200	96.340	3.660	99.550	0.450	93.21	320	1.000	bicubic
151	xcit_small_12_p16_384_dist	96.340	3.660	99.490	0.510	26.25	384	1.000	bicubic
152	regnetz_040h	96.330	3.670	99.520	0.480	28.94	320	1.000	bicubic
153	vit_base_patch16_clip_224.laion2b_ft_in1k	96.320	3.680	99.540	0.460	86.57	224	1.000	bicubic
154	xcit_large_24_p16_224_dist	96.320	3.680	99.500	0.500	189.10	224	1.000	bicubic
155	maxvit_large_tf_224.in1k	96.320	3.680	99.410	0.590	211.79	224	0.950	bicubic
156	vit_base_patch16_clip_224.openai_ft_in1k	96.310	3.690	99.550	0.450	86.57	224	0.900	bicubic
157	seresnet152d	96.310	3.690	99.510	0.490	66.84	320	1.000	bicubic
158	convnext_base.fb_in1k	96.310	3.690	99.500	0.500	88.59	288	1.000	bicubic
159	vit_base_patch16_224.augreg_in21k_ft_in1k	96.300	3.700	99.560	0.440	86.57	224	0.900	bicubic
160	tf_efficientnet_b6.aa_in1k	96.290	3.710	99.520	0.480	43.04	528	0.942	bicubic
161	resnetv2_50x3_bitm	96.270	3.730	99.630	0.370	217.32	448	1.000	bilinear
162	efficientnetv2_rw_m.agc_in1k	96.270	3.730	99.560	0.440	53.24	416	1.000	bicubic
163	swsl_resnext101_32x16d	96.270	3.730	99.500	0.500	194.03	224	0.875	bilinear
164	xcit_medium_24_p16_224_dist	96.260	3.740	99.410	0.590	84.40	224	1.000	bicubic
165	resnetv2_101x3_bitm	96.250	3.750	99.590	0.410	387.93	448	1.000	bilinear
166	swsl_resnext101_32x8d	96.240	3.760	99.590	0.410	88.79	224	0.875	bilinear
167	resnetrs350	96.240	3.760	99.470	0.530	163.96	384	1.000	bicubic
168	xcit_tiny_24_p8_384_dist	96.240	3.760	99.440	0.560	12.11	384	1.000	bicubic
169	deit3_base_patch16_384	96.230	3.770	99.400	0.600	86.88	384	1.000	bicubic
170	regnetz_d8_evos	96.220	3.780	99.490	0.510	23.46	320	0.950	bicubic
171	maxxvit_rmlp_small_rw_256	96.210	3.790	99.480	0.520	66.01	256	0.950	bicubic
172	maxvit_small_tf_224.in1k	96.210	3.790	99.460	0.540	68.93	224	0.950	bicubic
173	coatnet_rmlp_2_rw_224	96.200	3.800	99.280	0.720	73.88	224	0.950	bicubic
174	vit_base_patch16_384.orig_in21k_ft_in1k	96.190	3.810	99.530	0.470	86.86	384	1.000	bicubic
175	resnetv2_152x2_bit_teacher_384	96.190	3.810	99.500	0.500	236.34	384	1.000	bicubic
176	deit3_large_patch16_224	96.190	3.810	99.300	0.700	304.37	224	0.900	bicubic
177	vit_large_r50_s32_224.augreg_in21k_ft_in1k	96.180	3.820	99.530	0.470	328.99	224	0.900	bicubic
178	regnetz_040	96.180	3.820	99.510	0.490	27.12	320	1.000	bicubic
179	swinv2_base_window16_256	96.180	3.820	99.400	0.600	87.92	256	0.900	bicubic
180	convnext_tiny.fb_in22k_ft_in1k_384	96.170	3.830	99.500	0.500	28.59	384	1.000	bicubic
181	deit3_medium_patch16_224_in21ft1k	96.140	3.860	99.490	0.510	38.85	224	1.000	bicubic
182	crossvit_18_dagger_408	96.130	3.870	99.470	0.530	44.61	408	1.000	bicubic
183	resnest269e	96.120	3.880	99.520	0.480	110.93	416	0.928	bicubic
184	seresnext101_32x8d	96.120	3.880	99.360	0.640	93.57	288	1.000	bicubic
185	resnet200d	96.110	3.890	99.460	0.540	64.69	320	1.000	bicubic
186	flexivit_base.1200ep_in1k	96.110	3.890	99.400	0.600	86.59	240	0.950	bicubic
187	tf_efficientnet_b3.ns_jft_in1k	96.100	3.900	99.480	0.520	12.23	300	0.904	bicubic
188	tf_efficientnet_b5.ap_in1k	96.080	3.920	99.540	0.460	30.39	456	0.934	bicubic
189	xcit_large_24_p8_224	96.080	3.920	99.150	0.850	188.93	224	1.000	bicubic
190	resnest200e	96.070	3.930	99.480	0.520	70.20	320	0.909	bicubic
191	swinv2_base_window8_256	96.070	3.930	99.420	0.580	87.92	256	0.900	bicubic
192	pit_b_distilled_224	96.070	3.930	99.380	0.620	74.79	224	0.900	bicubic
193	swinv2_small_window16_256	96.070	3.930	99.340	0.660	49.73	256	0.900	bicubic
194	vit_small_r26_s32_384.augreg_in21k_ft_in1k	96.060	3.940	99.560	0.440	36.47	384	1.000	bicubic
195	resnetrs270	96.060	3.940	99.490	0.510	129.86	352	1.000	bicubic
196	gcvit_base	96.060	3.940	99.380	0.620	90.32	224	0.875	bicubic
197	swsl_resnext101_32x4d	96.050	3.950	99.530	0.470	44.18	224	0.875	bilinear
198	maxvit_rmlp_tiny_rw_256	96.040	3.960	99.410	0.590	29.15	256	0.950	bicubic
199	swin_s3_base_224	96.040	3.960	99.350	0.650	71.13	224	0.900	bicubic
200	volo_d1_224	96.030	3.970	99.390	0.610	26.63	224	0.960	bicubic
201	vit_base_patch16_224_miil.in21k_ft_in1k	96.030	3.970	99.350	0.650	86.54	224	0.875	bilinear
202	regnetz_d8	96.010	3.990	99.520	0.480	23.37	320	1.000	bicubic
203	cs3se_edgenet_x	96.010	3.990	99.440	0.560	50.72	320	1.000	bicubic
204	cait_xs24_384	96.010	3.990	99.430	0.570	26.67	384	1.000	bicubic
205	mvitv2_base	96.010	3.990	99.330	0.670	51.47	224	0.900	bicubic
206	vit_small_patch16_384.augreg_in21k_ft_in1k	95.980	4.020	99.590	0.410	22.20	384	1.000	bicubic
207	vit_medium_patch16_gap_256.in12k_ft_in1k	95.980	4.020	99.500	0.500	38.86	256	0.950	bicubic
208	tf_efficientnet_b5.ra_in1k	95.980	4.020	99.450	0.550	30.39	456	0.934	bicubic
209	convnext_small.fb_in1k	95.980	4.020	99.430	0.570	50.22	288	1.000	bicubic
210	flexivit_base.300ep_in1k	95.970	4.030	99.370	0.630	86.59	240	0.950	bicubic
211	flexivit_base.600ep_in1k	95.960	4.040	99.420	0.580	86.59	240	0.950	bicubic
212	xcit_small_12_p8_224_dist	95.960	4.040	99.420	0.580	26.21	224	1.000	bicubic
213	resnetrs152	95.960	4.040	99.380	0.620	86.62	320	1.000	bicubic
214	maxvit_rmlp_small_rw_224	95.960	4.040	99.350	0.650	64.90	224	0.900	bicubic
215	pvt_v2_b5	95.950	4.050	99.390	0.610	81.96	224	0.900	bicubic
216	eca_nfnet_l1	95.940	4.060	99.490	0.510	41.41	320	1.000	bicubic
217	ig_resnext101_32x8d	95.930	4.070	99.380	0.620	88.79	224	0.875	bilinear
218	gcvit_small	95.930	4.070	99.280	0.720	51.09	224	0.875	bicubic
219	vit_base_patch32_384.augreg_in21k_ft_in1k	95.900	4.100	99.440	0.560	88.30	384	1.000	bicubic
220	pvt_v2_b4	95.900	4.100	99.350	0.650	62.56	224	0.900	bicubic
221	xcit_small_24_p8_224	95.900	4.100	99.180	0.820	47.63	224	1.000	bicubic
222	mvitv2_small	95.890	4.110	99.360	0.640	34.87	224	0.900	bicubic
223	regnety_160	95.880	4.120	99.560	0.440	83.59	288	1.000	bicubic
224	sequencer2d_l	95.880	4.120	99.470	0.530	54.30	224	0.875	bicubic
225	resmlp_big_24_distilled_224	95.870	4.130	99.440	0.560	129.14	224	0.875	bicubic
226	resnet152d	95.870	4.130	99.430	0.570	60.21	320	1.000	bicubic
227	xcit_medium_24_p8_224	95.870	4.130	99.080	0.920	84.32	224	1.000	bicubic
228	regnety_080	95.860	4.140	99.440	0.560	39.18	288	1.000	bicubic
229	regnetz_d32	95.860	4.140	99.430	0.570	27.58	320	0.950	bicubic
230	swin_s3_small_224	95.840	4.160	99.200	0.800	49.74	224	0.900	bicubic
231	deit3_small_patch16_224_in21ft1k	95.820	4.180	99.410	0.590	22.06	224	1.000	bicubic
232	crossvit_15_dagger_408	95.820	4.180	99.310	0.690	28.50	408	1.000	bicubic
233	tresnet_v2_l	95.820	4.180	99.290	0.710	46.17	224	0.875	bilinear
234	maxvit_tiny_tf_224.in1k	95.810	4.190	99.260	0.740	30.92	224	0.950	bicubic
235	xcit_small_24_p16_224_dist	95.800	4.200	99.340	0.660	47.67	224	1.000	bicubic
236	edgenext_base	95.790	4.210	99.570	0.430	18.51	320	1.000	bicubic
237	regnety_064	95.790	4.210	99.290	0.710	30.58	288	1.000	bicubic
238	deit3_base_patch16_224	95.780	4.220	99.270	0.730	86.59	224	0.900	bicubic
239	regnetv_064	95.770	4.230	99.420	0.580	30.58	288	1.000	bicubic
240	resnet101d	95.750	4.250	99.440	0.560	44.57	320	1.000	bicubic
241	resnetv2_152x2_bit_teacher	95.750	4.250	99.430	0.570	236.34	224	0.875	bicubic
242	deit_base_distilled_patch16_224	95.750	4.250	99.280	0.720	87.34	224	0.900	bicubic
243	xcit_small_12_p16_224_dist	95.740	4.260	99.310	0.690	26.25	224	1.000	bicubic
244	maxvit_tiny_rw_224	95.740	4.260	99.160	0.840	29.06	224	0.950	bicubic
245	regnetv_040	95.730	4.270	99.380	0.620	20.64	288	1.000	bicubic
246	swinv2_small_window8_256	95.730	4.270	99.360	0.640	49.73	256	0.900	bicubic
247	twins_pcpvt_large	95.720	4.280	99.490	0.510	60.99	224	0.900	bicubic
248	twins_svt_large	95.720	4.280	99.370	0.630	99.27	224	0.900	bicubic
249	swin_small_patch4_window7_224	95.720	4.280	99.290	0.710	49.61	224	0.900	bicubic
250	tf_efficientnetv2_s.in1k	95.710	4.290	99.400	0.600	21.46	384	1.000	bicubic
251	efficientnetv2_rw_s.ra2_in1k	95.710	4.290	99.380	0.620	23.94	384	1.000	bicubic
252	dm_nfnet_f0	95.690	4.310	99.330	0.670	71.49	256	0.900	bicubic
253	swinv2_cr_small_ns_224	95.690	4.310	99.310	0.690	49.70	224	0.900	bicubic
254	xception65	95.690	4.310	99.310	0.690	39.92	299	0.940	bicubic
255	gcvit_tiny	95.680	4.320	99.340	0.660	28.22	224	0.875	bicubic
256	xception65p	95.660	4.340	99.270	0.730	39.82	299	0.940	bicubic
257	cait_s24_224	95.650	4.350	99.390	0.610	46.92	224	1.000	bicubic
258	deit_base_patch16_384	95.650	4.350	99.240	0.760	86.86	384	1.000	bicubic
259	swsl_resnext50_32x4d	95.620	4.380	99.440	0.560	25.03	224	0.875	bilinear
260	regnetz_c16_evos	95.620	4.380	99.420	0.580	13.49	320	0.950	bicubic
261	coatnet_1_rw_224	95.620	4.380	99.220	0.780	41.72	224	0.950	bicubic
262	efficientformer_l7	95.600	4.400	99.440	0.560	82.23	224	0.950	bicubic
263	deit3_small_patch16_384	95.600	4.400	99.390	0.610	22.21	384	1.000	bicubic
264	tf_efficientnet_b4.aa_in1k	95.590	4.410	99.330	0.670	19.34	380	0.922	bicubic
265	sequencer2d_m	95.590	4.410	99.280	0.720	38.31	224	0.875	bicubic
266	tf_efficientnetv2_b3.in21k_ft_in1k	95.590	4.410	99.280	0.720	14.36	300	0.900	bicubic
267	resnest101e	95.570	4.430	99.270	0.730	48.28	256	0.875	bilinear
268	twins_svt_base	95.570	4.430	99.230	0.770	56.07	224	0.900	bicubic
269	resnet152	95.550	4.450	99.270	0.730	60.19	224	0.950	bicubic
270	jx_nest_base	95.540	4.460	99.300	0.700	67.72	224	0.875	bicubic
271	resnext101_64x4d	95.540	4.460	99.290	0.710	83.46	288	1.000	bicubic
272	jx_nest_small	95.530	4.470	99.210	0.790	38.35	224	0.875	bicubic
273	efficientnet_b4.ra2_in1k	95.520	4.480	99.390	0.610	19.34	384	1.000	bicubic
274	tf_efficientnet_b2.ns_jft_in1k	95.520	4.480	99.340	0.660	9.11	260	0.890	bicubic
275	tresnet_xl_448	95.510	4.490	99.340	0.660	78.44	448	0.875	bilinear
276	tf_efficientnet_b4.ap_in1k	95.490	4.510	99.390	0.610	19.34	380	0.922	bicubic
277	xcit_tiny_24_p16_384_dist	95.490	4.510	99.360	0.640	12.12	384	1.000	bicubic
278	coatnet_rmlp_1_rw_224	95.490	4.510	99.240	0.760	41.69	224	0.950	bicubic
279	maxvit_nano_rw_256	95.490	4.510	99.130	0.870	15.45	256	0.950	bicubic
280	regnety_040	95.480	4.520	99.420	0.580	20.65	288	1.000	bicubic
281	regnety_032	95.470	4.530	99.320	0.680	19.44	288	1.000	bicubic
282	pvt_v2_b3	95.470	4.530	99.310	0.690	45.24	224	0.900	bicubic
283	sequencer2d_s	95.470	4.530	99.270	0.730	27.65	224	0.875	bicubic
284	twins_pcpvt_base	95.460	4.540	99.390	0.610	43.83	224	0.900	bicubic
285	eca_nfnet_l0	95.450	4.550	99.390	0.610	24.14	288	1.000	bicubic
286	xcit_tiny_24_p8_224_dist	95.450	4.550	99.360	0.640	12.11	224	1.000	bicubic
287	cs3edgenet_x	95.450	4.550	99.280	0.720	47.82	288	1.000	bicubic
288	maxvit_rmlp_nano_rw_256	95.440	4.560	99.060	0.940	15.50	256	0.950	bicubic
289	xcit_small_12_p8_224	95.420	4.580	99.200	0.800	26.21	224	1.000	bicubic
290	ssl_resnext101_32x16d	95.410	4.590	99.410	0.590	194.03	224	0.875	bilinear
291	tresnet_l_448	95.410	4.590	99.300	0.700	55.99	448	0.875	bilinear
292	mvitv2_tiny	95.410	4.590	99.160	0.840	24.17	224	0.900	bicubic
293	swinv2_cr_small_224	95.410	4.590	99.060	0.940	49.70	224	0.900	bicubic
294	cs3sedarknet_x	95.400	4.600	99.320	0.680	35.40	288	1.000	bicubic
295	regnetz_c16	95.400	4.600	99.310	0.690	13.46	320	0.940	bicubic
296	resnetv2_50x1_bit_distilled	95.390	4.610	99.430	0.570	25.55	224	0.875	bicubic
297	nfnet_l0	95.390	4.610	99.420	0.580	35.07	288	1.000	bicubic
298	mobilevitv2_200_384_in22ft1k	95.390	4.610	99.280	0.720	18.45	384	1.000	bicubic
299	deit3_medium_patch16_224	95.390	4.610	99.210	0.790	38.85	224	0.900	bicubic
300	tresnet_m	95.380	4.620	99.150	0.850	31.39	224	0.875	bilinear
301	convnext_nano.in12k_ft_in1k	95.360	4.640	99.450	0.550	15.59	288	1.000	bicubic
302	swinv2_tiny_window16_256	95.360	4.640	99.300	0.700	28.35	256	0.900	bicubic
303	pnasnet5large	95.360	4.640	99.130	0.870	86.06	331	0.911	bicubic
304	maxxvit_rmlp_nano_rw_256	95.350	4.650	99.320	0.680	16.78	256	0.950	bicubic
305	xcit_tiny_12_p8_384_dist	95.340	4.660	99.340	0.660	6.71	384	1.000	bicubic
306	ssl_resnext101_32x8d	95.340	4.660	99.320	0.680	88.79	224	0.875	bilinear
307	mobilevitv2_150_384_in22ft1k	95.330	4.670	99.130	0.870	10.59	384	1.000	bicubic
308	resnetv2_101x1_bitm	95.320	4.680	99.370	0.630	44.54	448	1.000	bilinear
309	vit_relpos_medium_patch16_cls_224.sw_in1k	95.300	4.700	99.090	0.910	38.76	224	0.900	bicubic
310	cs3darknet_x	95.280	4.720	99.280	0.720	35.05	288	1.000	bicubic
311	gc_efficientnetv2_rw_t.agc_in1k	95.280	4.720	99.220	0.780	13.68	288	1.000	bicubic
312	flexivit_small.600ep_in1k	95.270	4.730	99.160	0.840	22.06	240	0.950	bicubic
313	convnext_tiny_hnf.a2h_in1k	95.270	4.730	98.980	1.020	28.59	288	1.000	bicubic
314	mobilevitv2_175_384_in22ft1k	95.260	4.740	99.380	0.620	14.25	384	1.000	bicubic
315	resnetrs101	95.250	4.750	99.210	0.790	63.62	288	0.940	bicubic
316	vit_relpos_base_patch16_clsgap_224.sw_in1k	95.250	4.750	99.200	0.800	86.43	224	0.900	bicubic
317	vit_large_patch32_384.orig_in21k_ft_in1k	95.240	4.760	99.320	0.680	306.63	384	1.000	bicubic
318	vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	95.240	4.760	99.240	0.760	88.22	224	0.900	bicubic
319	cait_xxs36_384	95.220	4.780	99.320	0.680	17.37	384	1.000	bicubic
320	efficientformer_l3	95.210	4.790	99.310	0.690	31.41	224	0.950	bicubic
321	vit_base_patch16_224.orig_in21k_ft_in1k	95.210	4.790	99.230	0.770	86.57	224	0.900	bicubic
322	vit_relpos_medium_patch16_224.sw_in1k	95.210	4.790	99.220	0.780	38.75	224	0.900	bicubic
323	levit_384	95.210	4.790	99.160	0.840	39.13	224	0.900	bicubic
324	swsl_resnet50	95.200	4.800	99.390	0.610	25.56	224	0.875	bilinear
325	convnext_tiny.fb_in1k	95.200	4.800	99.330	0.670	28.59	288	1.000	bicubic
326	resnet51q	95.200	4.800	99.280	0.720	35.70	288	1.000	bilinear
327	pvt_v2_b2_li	95.200	4.800	99.260	0.740	22.55	224	0.900	bicubic
328	flexivit_small.1200ep_in1k	95.200	4.800	99.170	0.830	22.06	240	0.950	bicubic
329	crossvit_18_dagger_240	95.180	4.820	99.120	0.880	44.27	240	0.875	bicubic
330	ssl_resnext101_32x4d	95.160	4.840	99.300	0.700	44.18	224	0.875	bilinear
331	ecaresnet101d	95.160	4.840	99.230	0.770	44.57	224	0.875	bicubic
332	vit_relpos_base_patch16_224.sw_in1k	95.150	4.850	99.300	0.700	86.43	224	0.900	bicubic
333	flexivit_small.300ep_in1k	95.150	4.850	99.160	0.840	22.06	240	0.950	bicubic
334	nasnetalarge	95.150	4.850	99.130	0.870	88.75	331	0.911	bicubic
335	efficientnet_b3.ra2_in1k	95.140	4.860	99.210	0.790	12.23	320	1.000	bicubic
336	resnetv2_50d_evos	95.130	4.870	99.230	0.770	25.59	288	0.950	bicubic
337	vit_small_r26_s32_224.augreg_in21k_ft_in1k	95.130	4.870	99.220	0.780	36.43	224	0.900	bicubic
338	fbnetv3_g.ra2_in1k	95.130	4.870	99.200	0.800	16.62	288	0.950	bilinear
339	poolformer_m48	95.130	4.870	99.120	0.880	73.47	224	0.950	bicubic
340	xcit_medium_24_p16_224	95.130	4.870	98.920	1.080	84.40	224	1.000	bicubic
341	tf_efficientnetv2_b3.in1k	95.120	4.880	99.200	0.800	14.36	300	0.904	bicubic
342	resnet61q	95.120	4.880	99.080	0.920	36.85	288	1.000	bicubic
343	cs3sedarknet_l	95.110	4.890	99.210	0.790	21.91	288	0.950	bicubic
344	convit_base	95.100	4.900	99.140	0.860	86.54	224	0.875	bicubic
345	resnetv2_50d_gn	95.100	4.900	99.060	0.940	25.57	288	0.950	bicubic
346	coatnet_rmlp_nano_rw_224	95.090	4.910	99.170	0.830	15.15	224	0.900	bicubic
347	xcit_small_24_p16_224	95.080	4.920	99.060	0.940	47.67	224	1.000	bicubic
348	coat_lite_small	95.080	4.920	99.020	0.980	19.84	224	0.900	bicubic
349	ecaresnet50t	95.070	4.930	99.290	0.710	25.57	320	0.950	bicubic
350	efficientnetv2_rw_t.ra2_in1k	95.070	4.930	99.220	0.780	13.65	288	1.000	bicubic
351	vit_relpos_medium_patch16_rpn_224.sw_in1k	95.070	4.930	99.200	0.800	38.73	224	0.900	bicubic
352	xception41p	95.070	4.930	99.150	0.850	26.91	299	0.940	bicubic
353	crossvit_18_240	95.070	4.930	99.120	0.880	43.27	240	0.875	bicubic
354	crossvit_base_240	95.070	4.930	98.980	1.020	105.03	240	0.875	bicubic
355	tresnet_xl	95.060	4.940	99.260	0.740	78.44	224	0.875	bilinear
356	coatnet_nano_rw_224	95.050	4.950	99.150	0.850	15.14	224	0.900	bicubic
357	mobilevitv2_200_in22ft1k	95.050	4.950	99.080	0.920	18.45	256	0.888	bicubic
358	swinv2_tiny_window8_256	95.030	4.970	99.170	0.830	28.35	256	0.900	bicubic
359	halo2botnet50ts_256	95.030	4.970	99.030	0.970	22.64	256	0.950	bicubic
360	gcvit_xtiny	95.010	4.990	99.180	0.820	19.98	224	0.875	bicubic
361	pvt_v2_b2	95.010	4.990	99.140	0.860	25.36	224	0.900	bicubic
362	poolformer_m36	95.010	4.990	99.100	0.900	56.17	224	0.950	bicubic
363	deit_base_patch16_224	95.010	4.990	98.980	1.020	86.57	224	0.900	bicubic
364	coatnet_bn_0_rw_224	94.980	5.020	99.230	0.770	27.44	224	0.950	bicubic
365	crossvit_15_dagger_240	94.980	5.020	99.160	0.840	28.21	240	0.875	bicubic
366	convmixer_1536_20	94.970	5.030	99.170	0.830	51.63	224	0.960	bicubic
367	tf_efficientnet_b3.ap_in1k	94.970	5.030	99.110	0.890	12.23	300	0.904	bicubic
368	visformer_small	94.960	5.040	99.210	0.790	40.22	224	0.900	bicubic
369	jx_nest_tiny	94.950	5.050	99.100	0.900	17.06	224	0.875	bicubic
370	resnet101	94.950	5.050	99.070	0.930	44.55	224	0.950	bicubic
371	xcit_large_24_p16_224	94.940	5.060	98.830	1.170	189.10	224	1.000	bicubic
372	gernet_l	94.930	5.070	99.200	0.800	31.08	256	0.875	bilinear
373	cait_xxs24_384	94.920	5.080	99.140	0.860	12.03	384	1.000	bicubic
374	resnetv2_101	94.920	5.080	99.120	0.880	44.54	224	0.950	bicubic
375	convit_small	94.920	5.080	99.110	0.890	27.78	224	0.875	bicubic
376	tf_efficientnet_b3.aa_in1k	94.910	5.090	99.110	0.890	12.23	300	0.904	bicubic
377	coatnet_0_rw_224	94.910	5.090	99.020	0.980	27.44	224	0.950	bicubic
378	vit_srelpos_medium_patch16_224.sw_in1k	94.900	5.100	99.200	0.800	38.74	224	0.900	bicubic
379	swin_s3_tiny_224	94.900	5.100	99.160	0.840	28.33	224	0.900	bicubic
380	xcit_tiny_24_p8_224	94.890	5.110	99.190	0.810	12.11	224	1.000	bicubic
381	tresnet_l	94.890	5.110	99.030	0.970	55.99	224	0.875	bilinear
382	vit_small_patch16_224.augreg_in21k_ft_in1k	94.880	5.120	99.270	0.730	22.05	224	0.900	bicubic
383	mixer_b16_224_miil	94.880	5.120	99.080	0.920	59.88	224	0.875	bilinear
384	convnext_nano.d1h_in1k	94.870	5.130	99.140	0.860	15.59	288	1.000	bicubic
385	resnetaa50	94.870	5.130	99.120	0.880	25.56	288	1.000	bicubic
386	tf_efficientnet_lite4.in1k	94.870	5.130	99.090	0.910	13.01	380	0.920	bilinear
387	tf_efficientnet_b1.ns_jft_in1k	94.860	5.140	99.250	0.750	7.79	240	0.882	bicubic
388	coatnext_nano_rw_224	94.850	5.150	99.200	0.800	14.70	224	0.900	bicubic
389	edgenext_small	94.830	5.170	99.410	0.590	5.59	320	1.000	bicubic
390	vit_base_patch16_rpn_224.in1k	94.830	5.170	99.090	0.910	86.54	224	0.900	bicubic
391	xcit_small_12_p16_224	94.830	5.170	99.060	0.940	26.25	224	1.000	bicubic
392	seresnext50_32x4d	94.820	5.180	99.130	0.870	27.56	224	0.875	bicubic
393	cs3darknet_focus_l	94.790	5.210	99.150	0.850	21.15	288	0.950	bicubic
394	mobilevitv2_175_in22ft1k	94.790	5.210	99.090	0.910	14.25	256	0.888	bicubic
395	pit_b_224	94.790	5.210	98.820	1.180	73.76	224	0.900	bicubic
396	lamhalobotnet50ts_256	94.780	5.220	98.980	1.020	22.57	256	0.950	bicubic
397	twins_svt_small	94.770	5.230	99.080	0.920	24.06	224	0.900	bicubic
398	coat_mini	94.770	5.230	98.950	1.050	10.34	224	0.900	bicubic
399	swinv2_cr_tiny_ns_224	94.760	5.240	99.110	0.890	28.33	224	0.900	bicubic
400	vit_base_patch32_clip_224.laion2b_ft_in1k	94.740	5.260	99.070	0.930	88.22	224	0.900	bicubic
401	pit_s_distilled_224	94.730	5.270	99.190	0.810	24.04	224	0.900	bicubic
402	resnetv2_50x1_bitm	94.730	5.270	99.180	0.820	25.55	448	1.000	bilinear
403	legacy_senet154	94.730	5.270	99.100	0.900	115.09	224	0.875	bilinear
404	xcit_tiny_12_p8_224_dist	94.720	5.280	99.180	0.820	6.71	224	1.000	bicubic
405	crossvit_15_240	94.720	5.280	99.080	0.920	27.53	240	0.875	bicubic
406	gluon_resnet152_v1s	94.720	5.280	99.060	0.940	60.32	224	0.875	bicubic
407	resnest50d_4s2x40d	94.710	5.290	99.130	0.870	30.42	224	0.875	bicubic
408	gluon_senet154	94.710	5.290	98.970	1.030	115.09	224	0.875	bicubic
409	ssl_resnext50_32x4d	94.700	5.300	99.240	0.760	25.03	224	0.875	bilinear
410	mobilevitv2_150_in22ft1k	94.700	5.300	98.920	1.080	10.59	256	0.888	bicubic
411	halonet50ts	94.700	5.300	98.830	1.170	22.73	256	0.940	bicubic
412	vit_relpos_small_patch16_224.sw_in1k	94.690	5.310	99.100	0.900	21.98	224	0.900	bicubic
413	deit3_small_patch16_224	94.690	5.310	98.750	1.250	22.06	224	0.900	bicubic
414	cs3darknet_l	94.680	5.320	99.220	0.780	21.16	288	0.950	bicubic
415	regnetz_b16	94.680	5.320	99.160	0.840	9.72	288	0.940	bicubic
416	efficientnet_el.ra_in1k	94.670	5.330	99.130	0.870	10.59	300	0.904	bicubic
417	wide_resnet50_2	94.670	5.330	99.050	0.950	68.88	224	0.875	bicubic
418	tresnet_m_448	94.660	5.340	99.150	0.850	31.39	448	0.875	bilinear
419	rexnet_200	94.660	5.340	99.090	0.910	16.37	224	0.875	bicubic
420	gluon_seresnext101_64x4d	94.650	5.350	98.980	1.020	88.23	224	0.875	bicubic
421	poolformer_s36	94.630	5.370	99.050	0.950	30.86	224	0.900	bicubic
422	vit_small_patch16_384.augreg_in1k	94.620	5.380	99.140	0.860	22.20	384	1.000	bicubic
423	swin_tiny_patch4_window7_224	94.620	5.380	99.120	0.880	28.29	224	0.900	bicubic
424	resnest50d	94.620	5.380	99.030	0.970	27.48	224	0.875	bilinear
425	gcresnet50t	94.620	5.380	98.980	1.020	25.90	256	0.900	bicubic
426	twins_pcpvt_small	94.600	5.400	99.150	0.850	24.11	224	0.900	bicubic
427	vit_small_patch32_384.augreg_in21k_ft_in1k	94.590	5.410	99.140	0.860	22.92	384	1.000	bicubic
428	deit_small_distilled_patch16_224	94.590	5.410	99.100	0.900	22.44	224	0.900	bicubic
429	pit_s_224	94.590	5.410	98.930	1.070	23.46	224	0.900	bicubic
430	tnt_s_patch16_224	94.580	5.420	99.180	0.820	23.76	224	0.900	bicubic
431	crossvit_small_240	94.580	5.420	99.110	0.890	26.86	240	0.875	bicubic
432	efficientnet_b3_pruned.in1k	94.580	5.420	99.070	0.930	9.86	300	0.904	bicubic
433	convnext_nano_ols.d1h_in1k	94.580	5.420	99.050	0.950	15.65	288	1.000	bicubic
434	resmlp_36_distilled_224	94.570	5.430	99.160	0.840	44.69	224	0.875	bicubic
435	resnext50_32x4d	94.570	5.430	98.800	1.200	25.03	224	0.950	bicubic
436	vit_srelpos_small_patch16_224.sw_in1k	94.550	5.450	99.140	0.860	21.97	224	0.900	bicubic
437	gernet_m	94.550	5.450	98.930	1.070	21.14	224	0.875	bilinear
438	repvgg_b3	94.550	5.450	98.910	1.090	123.09	224	0.875	bilinear
439	lambda_resnet50ts	94.550	5.450	98.660	1.340	21.54	256	0.950	bicubic
440	xcit_tiny_12_p16_384_dist	94.530	5.470	99.170	0.830	6.72	384	1.000	bicubic
441	regnety_320	94.520	5.480	99.170	0.830	145.05	224	0.875	bicubic
442	sehalonet33ts	94.520	5.480	98.760	1.240	13.69	256	0.940	bicubic
443	mobilevitv2_200	94.510	5.490	98.970	1.030	18.45	256	0.888	bicubic
444	haloregnetz_b	94.510	5.490	98.960	1.040	11.68	224	0.940	bicubic
445	repvgg_b3g4	94.490	5.510	99.020	0.980	83.83	224	0.875	bilinear
446	ecaresnet101d_pruned	94.450	5.550	99.100	0.900	24.88	224	0.875	bicubic
447	gluon_seresnext101_32x4d	94.450	5.550	99.090	0.910	48.96	224	0.875	bicubic
448	vit_base_patch32_clip_224.openai_ft_in1k	94.440	5.560	99.180	0.820	88.22	224	0.900	bicubic
449	vit_base_patch16_384.augreg_in1k	94.440	5.560	99.020	0.980	86.86	384	1.000	bicubic
450	gluon_resnet152_v1d	94.440	5.560	99.010	0.990	60.21	224	0.875	bicubic
451	convmixer_768_32	94.420	5.580	99.110	0.890	21.11	224	0.960	bicubic
452	gcresnext50ts	94.410	5.590	98.990	1.010	15.67	256	0.900	bicubic
453	nf_resnet50	94.400	5.600	99.070	0.930	25.56	288	0.940	bicubic
454	levit_256	94.400	5.600	99.060	0.940	18.89	224	0.900	bicubic
455	resnest50d_1s4x24d	94.390	5.610	99.070	0.930	25.68	224	0.875	bicubic
456	vit_base_patch32_224.augreg_in21k_ft_in1k	94.390	5.610	99.060	0.940	88.22	224	0.900	bicubic
457	inception_v4	94.380	5.620	98.820	1.180	42.68	299	0.875	bicubic
458	darknet53	94.370	5.630	99.050	0.950	41.61	288	1.000	bicubic
459	efficientnet_b2.ra_in1k	94.370	5.630	99.050	0.950	9.11	288	1.000	bicubic
460	tf_efficientnet_el.in1k	94.360	5.640	99.100	0.900	10.59	300	0.904	bicubic
461	xcit_tiny_12_p8_224	94.360	5.640	99.070	0.930	6.71	224	1.000	bicubic
462	edgenext_small_rw	94.360	5.640	99.040	0.960	7.83	320	1.000	bicubic
463	gluon_resnext101_64x4d	94.350	5.650	98.880	1.120	83.46	224	0.875	bicubic
464	inception_resnet_v2	94.340	5.660	98.800	1.200	55.84	299	0.897	bicubic
465	resmlp_24_distilled_224	94.330	5.670	99.090	0.910	30.02	224	0.875	bicubic
466	poolformer_s24	94.330	5.670	99.060	0.940	21.39	224	0.900	bicubic
467	sebotnet33ts_256	94.330	5.670	98.580	1.420	13.70	256	0.940	bicubic
468	ssl_resnet50	94.310	5.690	99.150	0.850	25.56	224	0.875	bilinear
469	resnetv2_50	94.290	5.710	98.930	1.070	25.55	224	0.950	bicubic
470	regnetx_120	94.270	5.730	99.190	0.810	46.11	224	0.875	bicubic
471	rexnet_150	94.270	5.730	99.080	0.920	9.73	224	0.875	bicubic
472	tf_efficientnet_b2.ap_in1k	94.270	5.730	98.950	1.050	9.11	260	0.890	bicubic
473	seresnet33ts	94.270	5.730	98.780	1.220	19.78	256	0.900	bicubic
474	resmlp_big_24_224	94.260	5.740	98.820	1.180	129.14	224	0.875	bicubic
475	cspresnext50	94.250	5.750	99.050	0.950	20.57	256	0.887	bilinear
476	xcit_tiny_24_p16_224_dist	94.230	5.770	98.960	1.040	12.12	224	1.000	bicubic
477	mobilevitv2_175	94.230	5.770	98.930	1.070	14.25	256	0.888	bicubic
478	mixnet_xl.ra_in1k	94.230	5.770	98.820	1.180	11.90	224	0.875	bicubic
479	maxvit_rmlp_pico_rw_256	94.220	5.780	99.000	1.000	7.52	256	0.950	bicubic
480	regnetx_320	94.210	5.790	99.050	0.950	107.81	224	0.875	bicubic
481	tf_efficientnet_b2.aa_in1k	94.210	5.790	99.030	0.970	9.11	260	0.890	bicubic
482	darknetaa53	94.210	5.790	98.950	1.050	36.02	288	1.000	bilinear
483	ecaresnet50d	94.190	5.810	99.020	0.980	25.58	224	0.875	bicubic
484	dpn92	94.190	5.810	98.930	1.070	37.67	224	0.875	bicubic
485	resnet50_gn	94.180	5.820	98.920	1.080	25.56	224	0.940	bicubic
486	gluon_resnet101_v1s	94.170	5.830	99.010	0.990	44.67	224	0.875	bicubic
487	gluon_resnet101_v1d	94.170	5.830	98.940	1.060	44.57	224	0.875	bicubic
488	gluon_seresnext50_32x4d	94.170	5.830	98.910	1.090	27.56	224	0.875	bicubic
489	ecaresnetlight	94.140	5.860	98.950	1.050	30.16	224	0.875	bicubic
490	legacy_seresnext101_32x4d	94.130	5.870	98.970	1.030	48.96	224	0.875	bilinear
491	tf_efficientnet_lite3.in1k	94.130	5.870	98.960	1.040	8.20	300	0.904	bilinear
492	ens_adv_inception_resnet_v2	94.130	5.870	98.790	1.210	55.84	299	0.897	bicubic
493	gluon_resnext101_32x4d	94.120	5.880	98.930	1.070	44.18	224	0.875	bicubic
494	efficientnet_el_pruned.in1k	94.090	5.910	99.010	0.990	10.59	300	0.904	bicubic
495	cspdarknet53	94.090	5.910	98.980	1.020	27.64	256	0.887	bilinear
496	seresnet50	94.080	5.920	98.970	1.030	28.09	224	0.875	bicubic
497	tf_efficientnetv2_b2.in1k	94.070	5.930	98.930	1.070	10.10	260	0.890	bicubic
498	resnet50d	94.070	5.930	98.920	1.080	25.58	224	0.875	bicubic
499	gcvit_xxtiny	94.050	5.950	99.070	0.930	12.00	224	0.875	bicubic
500	mobilevitv2_150	94.050	5.950	98.900	1.100	10.59	256	0.888	bicubic
501	hrnet_w48	94.030	5.970	99.040	0.960	77.47	224	0.875	bilinear
502	convnext_pico.d1_in1k	94.030	5.970	99.000	1.000	9.05	288	0.950	bicubic
503	convnext_pico_ols.d1_in1k	94.030	5.970	98.940	1.060	9.06	288	1.000	bicubic
504	gluon_resnet152_v1b	94.030	5.970	98.740	1.260	60.19	224	0.875	bicubic
505	resnetrs50	94.020	5.980	98.850	1.150	35.69	224	0.910	bicubic
506	regnety_120	94.010	5.990	99.030	0.970	51.82	224	0.875	bicubic
507	gluon_xception65	94.010	5.990	99.020	0.980	39.92	299	0.903	bicubic
508	dla102x2	94.000	6.000	99.030	0.970	41.28	224	0.875	bilinear
509	deit_small_patch16_224	94.000	6.000	98.960	1.040	22.05	224	0.900	bicubic
510	dpn107	93.960	6.040	98.840	1.160	86.92	224	0.875	bicubic
511	skresnext50_32x4d	93.950	6.050	98.820	1.180	27.48	224	0.875	bicubic
512	efficientformer_l1	93.940	6.060	99.030	0.970	12.29	224	0.950	bicubic
513	dpn98	93.940	6.060	98.920	1.080	61.57	224	0.875	bicubic
514	ecaresnet26t	93.940	6.060	98.920	1.080	16.01	320	0.950	bicubic
515	cait_xxs36_224	93.940	6.060	98.890	1.110	17.30	224	1.000	bicubic
516	resnet50	93.920	6.080	98.470	1.530	25.56	224	0.950	bicubic
517	xception71	93.890	6.110	98.950	1.050	42.34	299	0.903	bicubic
518	vit_base_patch16_224.sam	93.890	6.110	98.890	1.110	86.57	224	0.900	bicubic
519	regnetx_160	93.880	6.120	99.090	0.910	54.28	224	0.875	bicubic
520	gluon_resnet152_v1c	93.880	6.120	98.800	1.200	60.21	224	0.875	bicubic
521	nf_regnet_b1	93.880	6.120	98.740	1.260	10.22	288	0.900	bicubic
522	eca_resnet33ts	93.860	6.140	98.890	1.110	19.68	256	0.900	bicubic
523	cspresnet50	93.860	6.140	98.870	1.130	21.62	256	0.887	bilinear
524	ese_vovnet39b	93.850	6.150	98.900	1.100	24.57	224	0.875	bicubic
525	xcit_tiny_24_p16_224	93.850	6.150	98.760	1.240	12.12	224	1.000	bicubic
526	fbnetv3_d.ra2_in1k	93.840	6.160	98.910	1.090	10.31	256	0.950	bilinear
527	hrnet_w64	93.830	6.170	98.930	1.070	128.06	224	0.875	bilinear
528	ecaresnet50d_pruned	93.820	6.180	99.000	1.000	19.94	224	0.875	bicubic
529	repvgg_b2g4	93.820	6.180	98.930	1.070	61.76	224	0.875	bilinear
530	gcresnet33ts	93.820	6.180	98.910	1.090	19.88	256	0.900	bicubic
531	resnext50d_32x4d	93.810	6.190	98.740	1.260	25.05	224	0.875	bicubic
532	efficientnet_b2_pruned.in1k	93.800	6.200	98.910	1.090	8.31	260	0.890	bicubic
533	dla169	93.800	6.200	98.840	1.160	53.39	224	0.875	bilinear
534	regnetx_080	93.790	6.210	98.910	1.090	39.57	224	0.875	bicubic
535	resnext101_32x8d	93.770	6.230	98.950	1.050	88.79	224	0.875	bilinear
536	dpn131	93.760	6.240	98.800	1.200	79.25	224	0.875	bicubic
537	gluon_resnet101_v1b	93.760	6.240	98.700	1.300	44.55	224	0.875	bicubic
538	tf_efficientnet_b0.ns_jft_in1k	93.740	6.260	98.980	1.020	5.29	224	0.875	bicubic
539	efficientnet_em.ra2_in1k	93.740	6.260	98.930	1.070	6.90	240	0.882	bicubic
540	wide_resnet101_2	93.730	6.270	98.810	1.190	126.89	224	0.875	bilinear
541	tf_efficientnetv2_b1.in1k	93.710	6.290	98.820	1.180	8.14	240	0.882	bicubic
542	resnetblur50	93.710	6.290	98.810	1.190	25.56	224	0.875	bicubic
543	hrnet_w40	93.710	6.290	98.800	1.200	57.56	224	0.875	bilinear
544	tf_efficientnet_b1.aa_in1k	93.710	6.290	98.800	1.200	7.79	240	0.882	bicubic
545	levit_192	93.710	6.290	98.790	1.210	10.95	224	0.900	bicubic
546	gluon_resnet101_v1c	93.690	6.310	98.760	1.240	44.57	224	0.875	bicubic
547	regnetx_040	93.680	6.320	98.940	1.060	22.12	224	0.875	bicubic
548	rexnet_130	93.670	6.330	98.710	1.290	7.56	224	0.875	bicubic
549	resmlp_36_224	93.650	6.350	98.950	1.050	44.69	224	0.875	bicubic
550	fbnetv3_b.ra2_in1k	93.650	6.350	98.910	1.090	8.60	256	0.950	bilinear
551	gluon_resnext50_32x4d	93.650	6.350	98.690	1.310	25.03	224	0.875	bicubic
552	xception	93.640	6.360	98.770	1.230	22.86	299	0.897	bicubic
553	regnetx_064	93.630	6.370	99.050	0.950	26.21	224	0.875	bicubic
554	tf_efficientnet_b1.ap_in1k	93.630	6.370	98.800	1.200	7.79	240	0.882	bicubic
555	resnet33ts	93.630	6.370	98.750	1.250	19.68	256	0.900	bicubic
556	hrnet_w44	93.620	6.380	98.960	1.040	67.06	224	0.875	bilinear
557	dpn68b	93.620	6.380	98.700	1.300	12.61	224	0.875	bicubic
558	halonet26t	93.610	6.390	98.640	1.360	12.48	256	0.950	bicubic
559	repvgg_b2	93.590	6.410	99.070	0.930	89.02	224	0.875	bilinear
560	gluon_resnet50_v1s	93.590	6.410	98.840	1.160	25.68	224	0.875	bicubic
561	res2net50_26w_6s	93.590	6.410	98.750	1.250	37.05	224	0.875	bilinear
562	dla60_res2next	93.570	6.430	98.800	1.200	17.03	224	0.875	bilinear
563	resnet32ts	93.570	6.430	98.750	1.250	17.96	256	0.900	bicubic
564	tf_efficientnet_cc_b1_8e.in1k	93.570	6.430	98.690	1.310	39.72	240	0.882	bicubic
565	eca_halonext26ts	93.550	6.450	98.680	1.320	10.76	256	0.940	bicubic
566	convnext_tiny.fb_in22k_ft_in1k	93.550	6.450	98.580	1.420	28.59	288	1.000	bicubic
567	gluon_inception_v3	93.540	6.460	98.830	1.170	23.83	299	0.875	bicubic
568	dla102x	93.530	6.470	98.850	1.150	26.31	224	0.875	bilinear
569	gluon_resnet50_v1d	93.530	6.470	98.710	1.290	25.58	224	0.875	bicubic
570	res2net101_26w_4s	93.520	6.480	98.600	1.400	45.21	224	0.875	bilinear
571	coat_tiny	93.510	6.490	98.690	1.310	5.50	224	0.900	bicubic
572	selecsls60b	93.500	6.500	98.840	1.160	32.77	224	0.875	bicubic
573	gmlp_s16_224	93.500	6.500	98.780	1.220	19.42	224	0.875	bicubic
574	pvt_v2_b1	93.490	6.510	98.860	1.140	14.01	224	0.900	bicubic
575	cait_xxs24_224	93.490	6.510	98.770	1.230	11.96	224	1.000	bicubic
576	xception41	93.480	6.520	98.750	1.250	26.97	299	0.903	bicubic
577	mobilevitv2_125	93.460	6.540	98.860	1.140	7.48	256	0.888	bicubic
578	coat_lite_mini	93.450	6.550	98.780	1.220	11.01	224	0.900	bicubic
579	res2net50_26w_8s	93.450	6.550	98.700	1.300	48.40	224	0.875	bilinear
580	botnet26t_256	93.450	6.550	98.650	1.350	12.49	256	0.950	bicubic
581	legacy_seresnet152	93.440	6.560	98.850	1.150	66.82	224	0.875	bilinear
582	convnext_femto.d1_in1k	93.440	6.560	98.810	1.190	5.22	288	0.950	bicubic
583	resmlp_24_224	93.440	6.560	98.810	1.190	30.02	224	0.875	bicubic
584	lambda_resnet26rpt_256	93.430	6.570	98.880	1.120	10.99	256	0.940	bicubic
585	legacy_seresnext50_32x4d	93.430	6.570	98.800	1.200	27.56	224	0.875	bilinear
586	vit_small_patch16_224.augreg_in1k	93.430	6.570	98.780	1.220	22.05	224	0.900	bicubic
587	vit_tiny_patch16_384.augreg_in21k_ft_in1k	93.420	6.580	98.830	1.170	5.79	384	1.000	bicubic
588	repvgg_b1	93.410	6.590	98.790	1.210	57.42	224	0.875	bilinear
589	lambda_resnet26t	93.400	6.600	98.740	1.260	10.96	256	0.940	bicubic
590	convnext_femto_ols.d1_in1k	93.390	6.610	98.910	1.090	5.23	288	0.950	bicubic
591	dla60_res2net	93.380	6.620	98.860	1.140	20.85	224	0.875	bilinear
592	hrnet_w30	93.370	6.630	98.830	1.170	37.71	224	0.875	bilinear
593	eca_botnext26ts_256	93.360	6.640	98.700	1.300	10.59	256	0.950	bicubic
594	xcit_tiny_12_p16_224_dist	93.350	6.650	98.740	1.260	6.72	224	1.000	bicubic
595	vit_base_patch16_224.augreg_in1k	93.350	6.650	98.670	1.330	86.57	224	0.900	bicubic
596	cs3darknet_m	93.280	6.720	98.720	1.280	9.31	288	0.950	bicubic
597	dla102	93.260	6.740	98.780	1.220	33.27	224	0.875	bilinear
598	legacy_seresnet101	93.260	6.740	98.740	1.260	49.33	224	0.875	bilinear
599	mixnet_l.ft_in1k	93.260	6.740	98.700	1.300	7.33	224	0.875	bicubic
600	xcit_nano_12_p8_384_dist	93.250	6.750	98.850	1.150	3.05	384	1.000	bicubic
601	regnetx_032	93.250	6.750	98.730	1.270	15.30	224	0.875	bicubic
602	resnest26d	93.240	6.760	98.850	1.150	17.07	224	0.875	bilinear
603	pit_xs_distilled_224	93.240	6.760	98.820	1.180	11.00	224	0.900	bicubic
604	tv_resnet152	93.240	6.760	98.750	1.250	60.19	224	0.875	bilinear
605	tf_inception_v3	93.200	6.800	98.480	1.520	23.83	299	0.875	bicubic
606	dla60x	93.190	6.810	98.710	1.290	17.35	224	0.875	bilinear
607	res2net50_26w_4s	93.180	6.820	98.670	1.330	25.70	224	0.875	bilinear
608	tf_efficientnet_em.in1k	93.170	6.830	98.670	1.330	6.90	240	0.882	bicubic
609	mobilevit_s	93.160	6.840	98.770	1.230	5.58	256	0.900	bicubic
610	vit_base_patch32_384.augreg_in1k	93.160	6.840	98.610	1.390	88.30	384	1.000	bicubic
611	vit_relpos_base_patch32_plus_rpn_256.sw_in1k	93.160	6.840	98.310	1.690	119.42	256	0.900	bicubic
612	res2next50	93.150	6.850	98.660	1.340	24.67	224	0.875	bilinear
613	mobilevitv2_100	93.140	6.860	98.760	1.240	4.90	256	0.888	bicubic
614	cs3darknet_focus_m	93.110	6.890	98.740	1.260	9.30	288	0.950	bicubic
615	bat_resnext26ts	93.100	6.900	98.720	1.280	10.73	256	0.900	bicubic
616	tf_efficientnetv2_b0.in1k	93.060	6.940	98.700	1.300	7.14	224	0.875	bicubic
617	levit_128	93.050	6.950	98.690	1.310	9.21	224	0.900	bicubic
618	tf_mixnet_l.in1k	93.040	6.960	98.540	1.460	7.33	224	0.875	bicubic
619	repvgg_b1g4	93.030	6.970	98.820	1.180	39.97	224	0.875	bilinear
620	efficientnet_b1.ft_in1k	93.030	6.970	98.710	1.290	7.79	256	1.000	bicubic
621	res2net50_14w_8s	93.030	6.970	98.700	1.300	25.06	224	0.875	bilinear
622	selecsls60	93.010	6.990	98.830	1.170	30.67	224	0.875	bicubic
623	adv_inception_v3	93.010	6.990	98.490	1.510	23.83	299	0.875	bicubic
624	regnety_016	93.000	7.000	98.680	1.320	11.20	224	0.875	bicubic
625	convnext_atto_ols.a2_in1k	92.980	7.020	98.680	1.320	3.70	288	0.950	bicubic
626	hardcorenas_f	92.980	7.020	98.620	1.380	8.20	224	0.875	bilinear
627	efficientnet_b1_pruned.in1k	92.980	7.020	98.530	1.470	6.33	240	0.882	bicubic
628	hrnet_w32	92.950	7.050	98.840	1.160	41.23	224	0.875	bilinear
629	hardcorenas_e	92.950	7.050	98.570	1.430	8.07	224	0.875	bilinear
630	pit_xs_224	92.910	7.090	98.780	1.220	10.62	224	0.900	bicubic
631	gluon_resnet50_v1c	92.910	7.090	98.710	1.290	25.58	224	0.875	bicubic
632	efficientnet_es.ra_in1k	92.910	7.090	98.690	1.310	5.44	224	0.875	bicubic
633	densenet161	92.900	7.100	98.810	1.190	28.68	224	0.875	bicubic
634	tv_resnext50_32x4d	92.900	7.100	98.720	1.280	25.03	224	0.875	bilinear
635	inception_v3	92.900	7.100	98.330	1.670	23.83	299	0.875	bicubic
636	tv_resnet101	92.880	7.120	98.660	1.340	44.55	224	0.875	bilinear
637	resmlp_12_distilled_224	92.870	7.130	98.630	1.370	15.35	224	0.875	bicubic
638	tf_efficientnet_cc_b0_8e.in1k	92.870	7.130	98.460	1.540	24.01	224	0.875	bicubic
639	coat_lite_tiny	92.850	7.150	98.640	1.360	5.72	224	0.900	bicubic
640	rexnet_100	92.850	7.150	98.620	1.380	4.80	224	0.875	bicubic
641	tf_efficientnet_cc_b0_4e.in1k	92.840	7.160	98.440	1.560	13.31	224	0.875	bicubic
642	seresnext26ts	92.830	7.170	98.600	1.400	10.39	256	0.900	bicubic
643	seresnext26t_32x4d	92.820	7.180	98.560	1.440	16.81	224	0.875	bicubic
644	tinynet_a.in1k	92.800	7.200	98.560	1.440	6.19	192	0.875	bicubic
645	res2net50_48w_2s	92.790	7.210	98.470	1.530	25.29	224	0.875	bilinear
646	hrnet_w18	92.760	7.240	98.660	1.340	21.30	224	0.875	bilinear
647	convnext_atto.d2_in1k	92.760	7.240	98.610	1.390	3.70	288	0.950	bicubic
648	crossvit_9_dagger_240	92.760	7.240	98.510	1.490	8.78	240	0.875	bicubic
649	densenet201	92.690	7.310	98.650	1.350	20.01	224	0.875	bicubic
650	resnet26t	92.680	7.320	98.580	1.420	16.01	256	0.940	bicubic
651	repvgg_a2	92.680	7.320	98.520	1.480	28.21	224	0.875	bilinear
652	gmixer_24_224	92.680	7.320	98.280	1.720	24.72	224	0.875	bicubic
653	legacy_seresnet50	92.670	7.330	98.650	1.350	28.09	224	0.875	bilinear
654	dla60	92.670	7.330	98.630	1.370	22.04	224	0.875	bilinear
655	resnet34d	92.640	7.360	98.420	1.580	21.82	224	0.875	bicubic
656	mobilenetv2_120d.ra_in1k	92.610	7.390	98.510	1.490	5.83	224	0.875	bicubic
657	tf_efficientnet_b0.ap_in1k	92.610	7.390	98.370	1.630	5.29	224	0.875	bicubic
658	hardcorenas_d	92.600	7.400	98.430	1.570	7.50	224	0.875	bilinear
659	tf_efficientnet_lite2.in1k	92.590	7.410	98.550	1.450	6.09	260	0.890	bicubic
660	skresnet34	92.570	7.430	98.520	1.480	22.28	224	0.875	bicubic
661	legacy_seresnext26_32x4d	92.570	7.430	98.420	1.580	16.79	224	0.875	bicubic
662	gluon_resnet50_v1b	92.560	7.440	98.550	1.450	25.56	224	0.875	bicubic
663	regnetx_016	92.540	7.460	98.550	1.450	9.19	224	0.875	bicubic
664	efficientnet_b0.ra_in1k	92.480	7.520	98.680	1.320	5.29	224	0.875	bicubic
665	selecsls42b	92.480	7.520	98.440	1.560	32.46	224	0.875	bicubic
666	poolformer_s12	92.470	7.530	98.350	1.650	11.92	224	0.900	bicubic
667	xcit_tiny_12_p16_224	92.460	7.540	98.630	1.370	6.72	224	1.000	bicubic
668	gcresnext26ts	92.460	7.540	98.490	1.510	10.48	256	0.900	bicubic
669	seresnext26d_32x4d	92.440	7.560	98.540	1.460	16.81	224	0.875	bicubic
670	gernet_s	92.440	7.560	98.500	1.500	8.17	224	0.875	bilinear
671	xcit_nano_12_p8_224_dist	92.430	7.570	98.530	1.470	3.05	224	1.000	bicubic
672	eca_resnext26ts	92.420	7.580	98.620	1.380	10.30	256	0.900	bicubic
673	tf_efficientnet_b0.aa_in1k	92.400	7.600	98.470	1.530	5.29	224	0.875	bicubic
674	densenetblur121d	92.400	7.600	98.410	1.590	8.00	224	0.875	bicubic
675	convmixer_1024_20_ks9_p14	92.340	7.660	98.430	1.570	24.38	224	0.960	bicubic
676	hardcorenas_c	92.330	7.670	98.340	1.660	5.52	224	0.875	bilinear
677	tf_efficientnet_lite1.in1k	92.310	7.690	98.490	1.510	5.42	240	0.882	bicubic
678	densenet169	92.300	7.700	98.590	1.410	14.15	224	0.875	bicubic
679	mixnet_m.ft_in1k	92.270	7.730	98.350	1.650	5.01	224	0.875	bicubic
680	mobilenetv3_large_100.miil_in21k_ft_in1k	92.250	7.750	98.250	1.750	5.48	224	0.875	bilinear
681	dpn68	92.240	7.760	98.610	1.390	12.61	224	0.875	bicubic
682	resnet26d	92.230	7.770	98.450	1.550	16.01	224	0.875	bicubic
683	resnext26ts	92.210	7.790	98.250	1.750	10.30	256	0.900	bicubic
684	tf_mixnet_m.in1k	92.200	7.800	98.420	1.580	5.01	224	0.875	bicubic
685	vit_small_patch32_224.augreg_in21k_ft_in1k	92.150	7.850	98.510	1.490	22.88	224	0.900	bicubic
686	tv_resnet50	92.140	7.860	98.420	1.580	25.56	224	0.875	bilinear
687	resmlp_12_224	92.120	7.880	98.570	1.430	15.35	224	0.875	bicubic
688	xcit_nano_12_p16_384_dist	92.110	7.890	98.520	1.480	3.05	384	1.000	bicubic
689	tf_efficientnet_es.in1k	92.100	7.900	98.440	1.560	5.44	224	0.875	bicubic
690	mobilenetv2_140.ra_in1k	92.030	7.970	98.250	1.750	6.11	224	0.875	bicubic
691	ese_vovnet19b_dw	92.010	7.990	98.510	1.490	6.54	224	0.875	bicubic
692	mobilevitv2_075	91.980	8.020	98.300	1.700	2.87	256	0.888	bicubic
693	hardcorenas_b	91.940	8.060	98.400	1.600	5.18	224	0.875	bilinear
694	densenet121	91.940	8.060	98.280	1.720	7.98	224	0.875	bicubic
695	vit_tiny_patch16_224.augreg_in21k_ft_in1k	91.930	8.070	98.340	1.660	5.72	224	0.900	bicubic
696	regnety_008	91.900	8.100	98.420	1.580	6.26	224	0.875	bicubic
697	mixnet_s.ft_in1k	91.780	8.220	98.300	1.700	4.13	224	0.875	bicubic
698	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	91.730	8.270	98.430	1.570	6.36	384	1.000	bicubic
699	efficientnet_es_pruned.in1k	91.700	8.300	98.420	1.580	5.44	224	0.875	bicubic
700	repvgg_b0	91.680	8.320	98.450	1.550	15.82	224	0.875	bilinear
701	tf_mixnet_s.in1k	91.680	8.320	98.240	1.760	4.13	224	0.875	bicubic
702	semnasnet_100.rmsp_in1k	91.660	8.340	98.270	1.730	3.89	224	0.875	bicubic
703	hardcorenas_a	91.620	8.380	98.170	1.830	5.26	224	0.875	bilinear
704	regnety_006	91.570	8.430	98.430	1.570	6.06	224	0.875	bicubic
705	edgenext_x_small	91.570	8.430	98.180	1.820	2.34	288	1.000	bicubic
706	mobilenetv3_rw.rmsp_in1k	91.550	8.450	98.270	1.730	5.48	224	0.875	bicubic
707	levit_128s	91.500	8.500	98.400	1.600	7.78	224	0.900	bicubic
708	mobilenetv3_large_100.ra_in1k	91.480	8.520	98.320	1.680	5.48	224	0.875	bicubic
709	legacy_seresnet34	91.480	8.520	98.200	1.800	21.96	224	0.875	bilinear
710	resnet26	91.440	8.560	98.280	1.720	16.00	224	0.875	bicubic
711	tf_mobilenetv3_large_100.in1k	91.420	8.580	98.260	1.740	5.48	224	0.875	bilinear
712	tv_densenet121	91.400	8.600	98.250	1.750	7.98	224	0.875	bicubic
713	mobilenetv2_110d.ra_in1k	91.350	8.650	98.190	1.810	4.52	224	0.875	bicubic
714	tf_efficientnet_lite0.in1k	91.300	8.700	98.090	1.910	4.65	224	0.875	bicubic
715	fbnetc_100.rmsp_in1k	91.270	8.730	97.830	2.170	5.57	224	0.875	bilinear
716	efficientnet_lite0.ra_in1k	91.260	8.740	98.250	1.750	4.65	224	0.875	bicubic
717	dla34	91.240	8.760	98.180	1.820	15.74	224	0.875	bilinear
718	resnet34	91.200	8.800	98.240	1.760	21.80	224	0.875	bilinear
719	mnasnet_100.rmsp_in1k	91.200	8.800	98.050	1.950	4.38	224	0.875	bicubic
720	mobilevit_xs	91.190	8.810	98.220	1.780	2.32	256	0.900	bicubic
721	regnetx_008	91.180	8.820	98.380	1.620	7.26	224	0.875	bicubic
722	hrnet_w18_small_v2	91.170	8.830	98.340	1.660	15.60	224	0.875	bilinear
723	mixer_b16_224	91.140	8.860	97.400	2.600	59.88	224	0.875	bicubic
724	resnest14d	91.130	8.870	98.330	1.670	10.61	224	0.875	bilinear
725	xcit_nano_12_p8_224	91.120	8.880	98.240	1.760	3.05	224	1.000	bicubic
726	tinynet_b.in1k	91.120	8.880	98.070	1.930	3.73	188	0.875	bicubic
727	deit_tiny_distilled_patch16_224	91.100	8.900	98.270	1.730	5.91	224	0.900	bicubic
728	gluon_resnet34_v1b	91.100	8.900	98.180	1.820	21.80	224	0.875	bicubic
729	swsl_resnet18	91.090	8.910	98.210	1.790	11.69	224	0.875	bilinear
730	crossvit_9_240	91.050	8.950	98.310	1.690	8.55	240	0.875	bicubic
731	vgg19_bn	90.990	9.010	98.110	1.890	143.68	224	0.875	bilinear
732	pit_ti_distilled_224	90.900	9.100	98.220	1.780	5.10	224	0.900	bicubic
733	regnety_004	90.780	9.220	98.080	1.920	4.34	224	0.875	bicubic
734	regnetx_006	90.760	9.240	98.100	1.900	6.20	224	0.875	bicubic
735	ssl_resnet18	90.700	9.300	98.020	1.980	11.69	224	0.875	bilinear
736	spnasnet_100.rmsp_in1k	90.610	9.390	97.950	2.050	4.42	224	0.875	bilinear
737	vit_base_patch32_224.augreg_in1k	90.590	9.410	97.720	2.280	88.22	224	0.900	bicubic
738	vgg16_bn	90.540	9.460	97.990	2.010	138.37	224	0.875	bilinear
739	crossvit_tiny_240	90.540	9.460	97.940	2.060	7.01	240	0.875	bicubic
740	convit_tiny	90.530	9.470	98.210	1.790	5.71	224	0.875	bicubic
741	ghostnet_100	90.440	9.560	97.830	2.170	5.18	224	0.875	bilinear
742	pit_ti_224	90.420	9.580	98.010	1.990	4.85	224	0.900	bicubic
743	tf_mobilenetv3_large_075.in1k	90.320	9.680	97.870	2.130	3.99	224	0.875	bilinear
744	tv_resnet34	90.290	9.710	97.980	2.020	21.80	224	0.875	bilinear
745	semnasnet_075.rmsp_in1k	90.200	9.800	97.970	2.030	2.91	224	0.875	bicubic
746	skresnet18	90.160	9.840	97.780	2.220	11.96	224	0.875	bicubic
747	xcit_nano_12_p16_224_dist	90.150	9.850	97.760	2.240	3.05	224	1.000	bicubic
748	resnet18d	89.990	10.010	97.830	2.170	11.71	224	0.875	bicubic
749	hrnet_w18_small	89.880	10.120	97.900	2.100	13.19	224	0.875	bilinear
750	vit_base_patch32_224.sam	89.860	10.140	97.600	2.400	88.22	224	0.900	bicubic
751	mobilenetv2_100.ra_in1k	89.830	10.170	97.830	2.170	3.50	224	0.875	bicubic
752	edgenext_xx_small	89.780	10.220	97.520	2.480	1.33	288	1.000	bicubic
753	vgg19	89.680	10.320	97.550	2.450	143.67	224	0.875	bilinear
754	deit_tiny_patch16_224	89.620	10.380	97.960	2.040	5.72	224	0.900	bicubic
755	regnetx_004	89.460	10.540	97.770	2.230	5.16	224	0.875	bicubic
756	vgg16	89.360	10.640	97.520	2.480	138.36	224	0.875	bilinear
757	vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	89.340	10.660	97.700	2.300	6.34	224	0.900	bicubic
758	legacy_seresnet18	89.270	10.730	97.680	2.320	11.78	224	0.875	bicubic
759	vgg13_bn	89.200	10.800	97.530	2.470	133.05	224	0.875	bilinear
760	tf_mobilenetv3_large_minimal_100.in1k	89.180	10.820	97.320	2.680	3.92	224	0.875	bilinear
761	resnet14t	89.110	10.890	97.370	2.630	10.08	224	0.950	bilinear
762	mobilevitv2_050	89.030	10.970	97.590	2.410	1.37	256	0.888	bicubic
763	pvt_v2_b0	88.980	11.020	97.690	2.310	3.67	224	0.900	bicubic
764	xcit_nano_12_p16_224	88.960	11.040	97.390	2.610	3.05	224	1.000	bicubic
765	lcnet_100.ra2_in1k	88.960	11.040	97.360	2.640	2.95	224	0.875	bicubic
766	gluon_resnet18_v1b	88.660	11.340	97.100	2.900	11.69	224	0.875	bicubic
767	tinynet_c.in1k	88.420	11.580	97.270	2.730	2.46	184	0.875	bicubic
768	vgg11_bn	88.390	11.610	97.270	2.730	132.87	224	0.875	bilinear
769	regnety_002	88.200	11.800	97.430	2.570	3.16	224	0.875	bicubic
770	resnet18	88.150	11.850	97.120	2.880	11.69	224	0.875	bilinear
771	mobilevit_xxs	87.950	12.050	97.180	2.820	1.27	256	0.900	bicubic
772	vgg13	87.570	12.430	97.120	2.880	133.05	224	0.875	bilinear
773	regnetx_002	87.380	12.620	96.990	3.010	2.68	224	0.875	bicubic
774	vgg11	87.340	12.660	97.110	2.890	132.86	224	0.875	bilinear
775	dla60x_c	87.110	12.890	97.140	2.860	1.32	224	0.875	bilinear
776	mixer_l16_224	86.970	13.030	94.060	5.940	208.20	224	0.875	bicubic
777	lcnet_075.ra2_in1k	86.940	13.060	96.530	3.470	2.36	224	0.875	bicubic
778	resnet10t	86.690	13.310	96.670	3.330	5.44	224	0.950	bilinear
779	mobilenetv3_small_100.lamb_in1k	86.170	13.830	96.470	3.530	2.54	224	0.875	bicubic
780	tf_mobilenetv3_small_100.in1k	85.960	14.040	96.400	3.600	2.54	224	0.875	bilinear
781	mnasnet_small.lamb_in1k	85.510	14.490	95.980	4.020	2.03	224	0.875	bicubic
782	dla46x_c	85.480	14.520	96.440	3.560	1.07	224	0.875	bilinear
783	tinynet_d.in1k	85.430	14.570	96.010	3.990	2.34	152	0.875	bicubic
784	mobilenetv2_050.lamb_in1k	84.990	15.010	95.620	4.380	1.97	224	0.875	bicubic
785	dla46_c	84.660	15.340	96.200	3.800	1.30	224	0.875	bilinear
786	tf_mobilenetv3_small_075.in1k	84.530	15.470	95.890	4.110	2.04	224	0.875	bilinear
787	mobilenetv3_small_075.lamb_in1k	84.120	15.880	95.500	4.500	2.04	224	0.875	bicubic
788	lcnet_050.ra2_in1k	83.000	17.000	95.010	4.990	1.88	224	0.875	bicubic
789	tf_mobilenetv3_small_minimal_100.in1k	82.670	17.330	95.000	5.000	2.04	224	0.875	bilinear
790	tinynet_e.in1k	79.810	20.190	93.980	6.020	2.04	106	0.875	bicubic
791	mobilenetv3_small_050.lamb_in1k	78.100	21.900	93.010	6.990	1.59	224	0.875	bicubic