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	eva_giant_patch14_560.m30m_ft_in22k_in1k	98.820	1.180	99.900	0.100	1,014.45	560	1.000	bicubic
3	eva_giant_patch14_336.clip_ft_in1k	98.820	1.180	99.820	0.180	1,013.01	336	1.000	bicubic
4	eva_giant_patch14_336.m30m_ft_in22k_in1k	98.810	1.190	99.900	0.100	1,013.01	336	1.000	bicubic
5	eva_large_patch14_336.in22k_ft_in22k_in1k	98.740	1.260	99.810	0.190	304.53	336	1.000	bicubic
6	eva_large_patch14_336.in22k_ft_in1k	98.710	1.290	99.870	0.130	304.53	336	1.000	bicubic
7	maxvit_base_tf_512.in21k_ft_in1k	98.630	1.370	99.800	0.200	119.88	512	1.000	bicubic
8	maxvit_xlarge_tf_512.in21k_ft_in1k	98.620	1.380	99.800	0.200	475.77	512	1.000	bicubic
9	maxvit_large_tf_512.in21k_ft_in1k	98.620	1.380	99.790	0.210	212.33	512	1.000	bicubic
10	beit_large_patch16_512.in22k_ft_in22k_in1k	98.560	1.440	99.840	0.160	305.67	512	1.000	bicubic
11	tf_efficientnet_l2.ns_jft_in1k	98.550	1.450	99.820	0.180	480.31	800	0.960	bicubic
12	beitv2_large_patch16_224.in1k_ft_in22k_in1k	98.540	1.460	99.760	0.240	304.43	224	0.950	bicubic
13	beit_large_patch16_384.in22k_ft_in22k_in1k	98.520	1.480	99.820	0.180	305.00	384	1.000	bicubic
14	maxvit_base_tf_384.in21k_ft_in1k	98.520	1.480	99.750	0.250	119.65	384	1.000	bicubic
15	tf_efficientnet_l2.ns_jft_in1k_475	98.500	1.500	99.830	0.170	480.31	475	0.936	bicubic
16	maxvit_xlarge_tf_384.in21k_ft_in1k	98.500	1.500	99.780	0.220	475.32	384	1.000	bicubic
17	maxvit_large_tf_384.in21k_ft_in1k	98.490	1.510	99.750	0.250	212.03	384	1.000	bicubic
18	eva_giant_patch14_224.clip_ft_in1k	98.480	1.520	99.820	0.180	1,012.56	224	1.000	bicubic
19	deit3_large_patch16_384_in21ft1k	98.460	1.540	99.760	0.240	304.76	384	1.000	bicubic
20	vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k	98.430	1.570	99.810	0.190	632.46	336	1.000	bicubic
21	eva_large_patch14_196.in22k_ft_in22k_in1k	98.430	1.570	99.770	0.230	304.14	196	1.000	bicubic
22	convnext_xlarge.fb_in22k_ft_in1k_384	98.420	1.580	99.810	0.190	350.20	384	1.000	bicubic
23	eva_large_patch14_196.in22k_ft_in1k	98.350	1.650	99.820	0.180	304.14	196	1.000	bicubic
24	vit_large_patch14_clip_336.laion2b_ft_in12k_in1k	98.330	1.670	99.760	0.240	304.53	336	1.000	bicubic
25	vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k	98.270	1.730	99.760	0.240	632.05	224	1.000	bicubic
26	vit_large_patch14_clip_336.openai_ft_in12k_in1k	98.260	1.740	99.770	0.230	304.53	336	1.000	bicubic
27	convnext_large.fb_in22k_ft_in1k_384	98.230	1.770	99.750	0.250	197.77	384	1.000	bicubic
28	vit_large_patch16_384.augreg_in21k_ft_in1k	98.220	1.780	99.800	0.200	304.72	384	1.000	bicubic
29	vit_large_patch14_clip_224.openai_ft_in12k_in1k	98.220	1.780	99.730	0.270	304.20	224	1.000	bicubic
30	vit_large_patch14_clip_336.laion2b_ft_in1k	98.220	1.780	99.720	0.280	304.53	336	1.000	bicubic
31	vit_base_patch16_clip_384.openai_ft_in12k_in1k	98.200	1.800	99.660	0.340	86.86	384	0.950	bicubic
32	beit_large_patch16_224.in22k_ft_in22k_in1k	98.180	1.820	99.760	0.240	304.43	224	0.900	bicubic
33	deit3_large_patch16_224_in21ft1k	98.170	1.830	99.760	0.240	304.37	224	1.000	bicubic
34	deit3_huge_patch14_224_in21ft1k	98.170	1.830	99.730	0.270	632.13	224	1.000	bicubic
35	vit_large_patch14_clip_224.openai_ft_in1k	98.160	1.840	99.660	0.340	304.20	224	1.000	bicubic
36	swinv2_large_window12to24_192to384_22kft1k	98.150	1.850	99.690	0.310	196.74	384	1.000	bicubic
37	swinv2_base_window12to24_192to384_22kft1k	98.140	1.860	99.780	0.220	87.92	384	1.000	bicubic
38	convnext_xlarge.fb_in22k_ft_in1k	98.120	1.880	99.780	0.220	350.20	288	1.000	bicubic
39	convnext_large.fb_in22k_ft_in1k	98.120	1.880	99.750	0.250	197.77	288	1.000	bicubic
40	vit_large_patch14_clip_224.laion2b_ft_in12k_in1k	98.080	1.920	99.760	0.240	304.20	224	1.000	bicubic
41	convnext_base.fb_in22k_ft_in1k_384	98.070	1.930	99.650	0.350	88.59	384	1.000	bicubic
42	swin_large_patch4_window12_384	98.040	1.960	99.690	0.310	196.74	384	1.000	bicubic
43	vit_huge_patch14_clip_224.laion2b_ft_in1k	98.020	1.980	99.720	0.280	632.05	224	1.000	bicubic
44	vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	98.010	1.990	99.660	0.340	86.86	384	1.000	bicubic
45	tf_efficientnet_b7.ns_jft_in1k	97.910	2.090	99.720	0.280	66.35	600	0.949	bicubic
46	tf_efficientnetv2_xl.in21k_ft_in1k	97.910	2.090	99.570	0.430	208.12	512	1.000	bicubic
47	vit_large_patch14_clip_224.laion2b_ft_in1k	97.900	2.100	99.650	0.350	304.20	224	1.000	bicubic
48	swin_base_patch4_window12_384	97.890	2.110	99.710	0.290	87.90	384	1.000	bicubic
49	convnext_base.fb_in22k_ft_in1k	97.860	2.140	99.680	0.320	88.59	288	1.000	bicubic
50	vit_large_r50_s32_384.augreg_in21k_ft_in1k	97.860	2.140	99.670	0.330	329.09	384	1.000	bicubic
51	swinv2_large_window12to16_192to256_22kft1k	97.860	2.140	99.650	0.350	196.74	256	0.900	bicubic
52	deit3_base_patch16_384_in21ft1k	97.840	2.160	99.680	0.320	86.88	384	1.000	bicubic
53	vit_base_patch16_384.augreg_in21k_ft_in1k	97.840	2.160	99.670	0.330	86.86	384	1.000	bicubic
54	maxvit_large_tf_512.in1k	97.830	2.170	99.560	0.440	212.33	512	1.000	bicubic
55	beit_base_patch16_384.in22k_ft_in22k_in1k	97.820	2.180	99.700	0.300	86.74	384	1.000	bicubic
56	tf_efficientnetv2_m.in21k_ft_in1k	97.820	2.180	99.600	0.400	54.14	480	1.000	bicubic
57	tf_efficientnetv2_l.in21k_ft_in1k	97.800	2.200	99.770	0.230	118.52	480	1.000	bicubic
58	volo_d5_512	97.770	2.230	99.670	0.330	296.09	512	1.150	bicubic
59	volo_d5_448	97.760	2.240	99.620	0.380	295.91	448	1.150	bicubic
60	maxvit_small_tf_512.in1k	97.750	2.250	99.550	0.450	69.13	512	1.000	bicubic
61	maxvit_base_tf_512.in1k	97.740	2.260	99.610	0.390	119.88	512	1.000	bicubic
62	vit_base_patch16_clip_384.laion2b_ft_in1k	97.730	2.270	99.630	0.370	86.86	384	1.000	bicubic
63	vit_base_patch8_224.augreg2_in21k_ft_in1k	97.710	2.290	99.650	0.350	86.58	224	0.900	bicubic
64	beitv2_base_patch16_224.in1k_ft_in22k_in1k	97.690	2.310	99.680	0.320	86.53	224	0.900	bicubic
65	volo_d4_448	97.670	2.330	99.610	0.390	193.41	448	1.150	bicubic
66	swinv2_base_window12to16_192to256_22kft1k	97.650	2.350	99.720	0.280	87.92	256	0.900	bicubic
67	swin_large_patch4_window7_224	97.650	2.350	99.580	0.420	196.53	224	0.900	bicubic
68	vit_large_patch16_224.augreg_in21k_ft_in1k	97.640	2.360	99.590	0.410	304.33	224	0.900	bicubic
69	tf_efficientnet_b6.ns_jft_in1k	97.630	2.370	99.580	0.420	43.04	528	0.942	bicubic
70	ig_resnext101_32x48d	97.620	2.380	99.700	0.300	828.41	224	0.875	bilinear
71	convnext_small.fb_in22k_ft_in1k_384	97.600	2.400	99.600	0.400	50.22	384	1.000	bicubic
72	dm_nfnet_f6	97.600	2.400	99.550	0.450	438.36	576	0.956	bicubic
73	vit_base_patch8_224.augreg_in21k_ft_in1k	97.580	2.420	99.670	0.330	86.58	224	0.900	bicubic
74	dm_nfnet_f4	97.580	2.420	99.510	0.490	316.07	512	0.951	bicubic
75	maxvit_base_tf_384.in1k	97.570	2.430	99.590	0.410	119.65	384	1.000	bicubic
76	maxvit_tiny_tf_512.in1k	97.570	2.430	99.560	0.440	31.05	512	1.000	bicubic
77	maxvit_large_tf_384.in1k	97.570	2.430	99.530	0.470	212.03	384	1.000	bicubic
78	vit_base_patch16_clip_384.openai_ft_in1k	97.550	2.450	99.660	0.340	86.86	384	1.000	bicubic
79	volo_d3_448	97.550	2.450	99.550	0.450	86.63	448	1.000	bicubic
80	dm_nfnet_f5	97.540	2.460	99.570	0.430	377.21	544	0.954	bicubic
81	xcit_large_24_p8_384_dist	97.520	2.480	99.540	0.460	188.93	384	1.000	bicubic
82	vit_base_patch16_clip_224.openai_ft_in12k_in1k	97.520	2.480	99.500	0.500	86.57	224	0.950	bicubic
83	xcit_large_24_p16_384_dist	97.520	2.480	99.480	0.520	189.10	384	1.000	bicubic
84	tf_efficientnet_b5.ns_jft_in1k	97.500	2.500	99.630	0.370	30.39	456	0.934	bicubic
85	resnetv2_152x4_bitm	97.490	2.510	99.610	0.390	936.53	480	1.000	bilinear
86	deit3_base_patch16_224_in21ft1k	97.480	2.520	99.600	0.400	86.59	224	1.000	bicubic
87	cait_m48_448	97.480	2.520	99.550	0.450	356.46	448	1.000	bicubic
88	tf_efficientnetv2_l.in1k	97.470	2.530	99.530	0.470	118.52	480	1.000	bicubic
89	vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	97.450	2.550	99.540	0.460	86.57	224	0.950	bicubic
90	vit_medium_patch16_gap_384.in12k_ft_in1k	97.440	2.560	99.640	0.360	39.03	384	0.950	bicubic
91	deit3_large_patch16_384	97.420	2.580	99.620	0.380	304.76	384	1.000	bicubic
92	maxvit_small_tf_384.in1k	97.420	2.580	99.510	0.490	69.02	384	1.000	bicubic
93	flexivit_large.1200ep_in1k	97.410	2.590	99.600	0.400	304.36	240	0.950	bicubic
94	efficientnet_b5.in12k_ft_in1k	97.410	2.590	99.540	0.460	30.39	448	1.000	bicubic
95	cait_m36_384	97.400	2.600	99.510	0.490	271.22	384	1.000	bicubic
96	volo_d5_224	97.380	2.620	99.570	0.430	295.46	224	0.960	bicubic
97	ig_resnext101_32x32d	97.360	2.640	99.680	0.320	468.53	224	0.875	bilinear
98	convnext_small.fb_in22k_ft_in1k	97.360	2.640	99.530	0.470	50.22	288	1.000	bicubic
99	vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	97.360	2.640	99.520	0.480	88.30	384	1.000	bicubic
100	dm_nfnet_f3	97.350	2.650	99.560	0.440	254.92	416	0.940	bicubic
101	cait_s36_384	97.330	2.670	99.530	0.470	68.37	384	1.000	bicubic
102	volo_d2_384	97.320	2.680	99.600	0.400	58.87	384	1.000	bicubic
103	vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	97.320	2.680	99.480	0.520	88.34	448	1.000	bicubic
104	volo_d4_224	97.300	2.700	99.520	0.480	192.96	224	0.960	bicubic
105	maxvit_tiny_tf_384.in1k	97.300	2.700	99.500	0.500	30.98	384	1.000	bicubic
106	xcit_medium_24_p8_384_dist	97.290	2.710	99.510	0.490	84.32	384	1.000	bicubic
107	flexivit_large.600ep_in1k	97.280	2.720	99.590	0.410	304.36	240	0.950	bicubic
108	xcit_medium_24_p16_384_dist	97.270	2.730	99.460	0.540	84.40	384	1.000	bicubic
109	swin_base_patch4_window7_224	97.250	2.750	99.530	0.470	87.77	224	0.900	bicubic
110	flexivit_large.300ep_in1k	97.250	2.750	99.490	0.510	304.36	240	0.950	bicubic
111	xcit_small_24_p8_384_dist	97.240	2.760	99.600	0.400	47.63	384	1.000	bicubic
112	xcit_small_12_p8_384_dist	97.230	2.770	99.480	0.520	26.21	384	1.000	bicubic
113	tf_efficientnetv2_m.in1k	97.210	2.790	99.530	0.470	54.14	480	1.000	bicubic
114	swsl_resnext101_32x8d	97.200	2.800	99.570	0.430	88.79	224	0.875	bilinear
115	tf_efficientnet_b7.ap_in1k	97.200	2.800	99.540	0.460	66.35	600	0.949	bicubic
116	regnetz_e8	97.200	2.800	99.500	0.500	57.70	320	1.000	bicubic
117	tf_efficientnet_b8.ra_in1k	97.200	2.800	99.500	0.500	87.41	672	0.954	bicubic
118	vit_base_r50_s16_384.orig_in21k_ft_in1k	97.180	2.820	99.560	0.440	98.95	384	1.000	bicubic
119	vit_base_patch16_224.augreg2_in21k_ft_in1k	97.150	2.850	99.540	0.460	86.57	224	0.900	bicubic
120	deit3_small_patch16_384_in21ft1k	97.130	2.870	99.500	0.500	22.21	384	1.000	bicubic
121	vit_base_patch16_clip_224.laion2b_ft_in1k	97.130	2.870	99.460	0.540	86.57	224	1.000	bicubic
122	xcit_small_24_p16_384_dist	97.120	2.880	99.460	0.540	47.67	384	1.000	bicubic
123	tf_efficientnet_b8.ap_in1k	97.110	2.890	99.660	0.340	87.41	672	0.954	bicubic
124	vit_base_patch32_clip_384.openai_ft_in12k_in1k	97.110	2.890	99.500	0.500	88.30	384	0.950	bicubic
125	convnext_large.fb_in1k	97.100	2.900	99.450	0.550	197.77	288	1.000	bicubic
126	beit_base_patch16_224.in22k_ft_in22k_in1k	97.090	2.910	99.610	0.390	86.53	224	0.900	bicubic
127	eca_nfnet_l2	97.090	2.910	99.510	0.490	56.72	384	1.000	bicubic
128	volo_d3_224	97.090	2.910	99.470	0.530	86.33	224	0.960	bicubic
129	tf_efficientnet_b6.ap_in1k	97.080	2.920	99.620	0.380	43.04	528	0.942	bicubic
130	convnext_tiny.fb_in22k_ft_in1k_384	97.080	2.920	99.510	0.490	28.59	384	1.000	bicubic
131	vit_base_patch16_clip_224.openai_ft_in1k	97.080	2.920	99.490	0.510	86.57	224	0.900	bicubic
132	ecaresnet269d	97.080	2.920	99.470	0.530	102.09	352	1.000	bicubic
133	cait_s24_384	97.070	2.930	99.430	0.570	47.06	384	1.000	bicubic
134	xcit_large_24_p8_224_dist	97.060	2.940	99.420	0.580	188.93	224	1.000	bicubic
135	dm_nfnet_f2	97.020	2.980	99.440	0.560	193.78	352	0.920	bicubic
136	deit3_base_patch16_384	97.020	2.980	99.390	0.610	86.88	384	1.000	bicubic
137	resnetv2_152x2_bitm	97.010	2.990	99.590	0.410	236.34	448	1.000	bilinear
138	tf_efficientnet_b7.ra_in1k	97.010	2.990	99.520	0.480	66.35	600	0.949	bicubic
139	resnetv2_101x3_bitm	96.990	3.010	99.490	0.510	387.93	448	1.000	bilinear
140	volo_d2_224	96.990	3.010	99.390	0.610	58.68	224	0.960	bicubic
141	efficientnetv2_rw_m.agc_in1k	96.980	3.020	99.540	0.460	53.24	416	1.000	bicubic
142	deit3_medium_patch16_224_in21ft1k	96.970	3.030	99.430	0.570	38.85	224	1.000	bicubic
143	deit_base_distilled_patch16_384	96.960	3.040	99.480	0.520	87.63	384	1.000	bicubic
144	maxvit_large_tf_224.in1k	96.960	3.040	99.250	0.750	211.79	224	0.950	bicubic
145	tf_efficientnet_b4.ns_jft_in1k	96.950	3.050	99.580	0.420	19.34	380	0.922	bicubic
146	mvitv2_large	96.950	3.050	99.400	0.600	217.99	224	0.900	bicubic
147	seresnextaa101d_32x8d	96.950	3.050	99.390	0.610	93.59	288	1.000	bicubic
148	maxvit_base_tf_224.in1k	96.950	3.050	99.260	0.740	119.47	224	0.950	bicubic
149	deit3_large_patch16_224	96.940	3.060	99.340	0.660	304.37	224	0.900	bicubic
150	xcit_small_12_p16_384_dist	96.930	3.070	99.400	0.600	26.25	384	1.000	bicubic
151	volo_d1_384	96.920	3.080	99.520	0.480	26.78	384	1.000	bicubic
152	dm_nfnet_f1	96.920	3.080	99.410	0.590	132.63	320	0.910	bicubic
153	xcit_medium_24_p8_224_dist	96.920	3.080	99.390	0.610	84.32	224	1.000	bicubic
154	resnetrs420	96.910	3.090	99.460	0.540	191.89	416	1.000	bicubic
155	vit_base_patch16_224.augreg_in21k_ft_in1k	96.880	3.120	99.530	0.470	86.57	224	0.900	bicubic
156	deit3_huge_patch14_224	96.880	3.120	99.480	0.520	632.13	224	0.900	bicubic
157	xcit_small_24_p8_224_dist	96.870	3.130	99.480	0.520	47.63	224	1.000	bicubic
158	resnetv2_152x2_bit_teacher_384	96.830	3.170	99.450	0.550	236.34	384	1.000	bicubic
159	ig_resnext101_32x16d	96.820	3.180	99.590	0.410	194.03	224	0.875	bilinear
160	convnext_base.fb_in1k	96.820	3.180	99.410	0.590	88.59	288	1.000	bicubic
161	maxxvit_rmlp_small_rw_256	96.810	3.190	99.380	0.620	66.01	256	0.950	bicubic
162	xcit_large_24_p16_224_dist	96.800	3.200	99.350	0.650	189.10	224	1.000	bicubic
163	vit_large_r50_s32_224.augreg_in21k_ft_in1k	96.790	3.210	99.350	0.650	328.99	224	0.900	bicubic
164	seresnet152d	96.770	3.230	99.450	0.550	66.84	320	1.000	bicubic
165	mvitv2_base	96.770	3.230	99.270	0.730	51.47	224	0.900	bicubic
166	resnetrs350	96.760	3.240	99.370	0.630	163.96	384	1.000	bicubic
167	flexivit_base.1200ep_in1k	96.760	3.240	99.360	0.640	86.59	240	0.950	bicubic
168	seresnext101_32x8d	96.760	3.240	99.340	0.660	93.57	288	1.000	bicubic
169	swinv2_base_window16_256	96.750	3.250	99.350	0.650	87.92	256	0.900	bicubic
170	tf_efficientnetv2_s.in21k_ft_in1k	96.730	3.270	99.420	0.580	21.46	384	1.000	bicubic
171	seresnext101d_32x8d	96.730	3.270	99.360	0.640	93.59	288	1.000	bicubic
172	resnet200d	96.720	3.280	99.330	0.670	64.69	320	1.000	bicubic
173	resnetv2_50x3_bitm	96.710	3.290	99.550	0.450	217.32	448	1.000	bilinear
174	regnetz_040h	96.710	3.290	99.500	0.500	28.94	320	1.000	bicubic
175	regnetz_040	96.710	3.290	99.470	0.530	27.12	320	1.000	bicubic
176	vit_base_patch16_384.orig_in21k_ft_in1k	96.700	3.300	99.510	0.490	86.86	384	1.000	bicubic
177	vit_small_patch16_384.augreg_in21k_ft_in1k	96.700	3.300	99.480	0.520	22.20	384	1.000	bicubic
178	edgenext_base	96.700	3.300	99.430	0.570	18.51	320	1.000	bicubic
179	resnetrs200	96.700	3.300	99.370	0.630	93.21	320	1.000	bicubic
180	eca_nfnet_l1	96.700	3.300	99.290	0.710	41.41	320	1.000	bicubic
181	xcit_small_12_p8_224_dist	96.690	3.310	99.390	0.610	26.21	224	1.000	bicubic
182	maxvit_small_tf_224.in1k	96.690	3.310	99.370	0.630	68.93	224	0.950	bicubic
183	resnetrs270	96.690	3.310	99.350	0.650	129.86	352	1.000	bicubic
184	vit_small_r26_s32_384.augreg_in21k_ft_in1k	96.680	3.320	99.570	0.430	36.47	384	1.000	bicubic
185	tf_efficientnet_b5.ap_in1k	96.680	3.320	99.460	0.540	30.39	456	0.934	bicubic
186	pit_b_distilled_224	96.680	3.320	99.350	0.650	74.79	224	0.900	bicubic
187	tf_efficientnet_b6.aa_in1k	96.670	3.330	99.370	0.630	43.04	528	0.942	bicubic
188	vit_medium_patch16_gap_256.in12k_ft_in1k	96.660	3.340	99.510	0.490	38.86	256	0.950	bicubic
189	deit3_small_patch16_224_in21ft1k	96.660	3.340	99.330	0.670	22.06	224	1.000	bicubic
190	flexivit_base.600ep_in1k	96.630	3.370	99.330	0.670	86.59	240	0.950	bicubic
191	resmlp_big_24_224_in22ft1k	96.620	3.380	99.510	0.490	129.14	224	0.875	bicubic
192	regnetz_d8	96.620	3.380	99.450	0.550	23.37	320	1.000	bicubic
193	flexivit_base.300ep_in1k	96.620	3.380	99.270	0.730	86.59	240	0.950	bicubic
194	regnetz_d8_evos	96.610	3.390	99.450	0.550	23.46	320	0.950	bicubic
195	resnest200e	96.610	3.390	99.350	0.650	70.20	320	0.909	bicubic
196	swsl_resnext101_32x16d	96.600	3.400	99.520	0.480	194.03	224	0.875	bilinear
197	regnetz_d32	96.600	3.400	99.380	0.620	27.58	320	0.950	bicubic
198	xcit_medium_24_p16_224_dist	96.590	3.410	99.270	0.730	84.40	224	1.000	bicubic
199	maxvit_rmlp_small_rw_224	96.590	3.410	99.110	0.890	64.90	224	0.900	bicubic
200	resnetrs152	96.580	3.420	99.240	0.760	86.62	320	1.000	bicubic
201	gcvit_base	96.570	3.430	99.230	0.770	90.32	224	0.875	bicubic
202	convnext_small.fb_in1k	96.560	3.440	99.340	0.660	50.22	288	1.000	bicubic
203	cait_xs24_384	96.550	3.450	99.420	0.580	26.67	384	1.000	bicubic
204	xcit_tiny_24_p8_384_dist	96.550	3.450	99.320	0.680	12.11	384	1.000	bicubic
205	efficientnetv2_rw_s.ra2_in1k	96.540	3.460	99.360	0.640	23.94	384	1.000	bicubic
206	swinv2_base_window8_256	96.540	3.460	99.270	0.730	87.92	256	0.900	bicubic
207	coatnet_rmlp_2_rw_224	96.540	3.460	99.100	0.900	73.88	224	0.950	bicubic
208	regnety_080	96.530	3.470	99.320	0.680	39.18	288	1.000	bicubic
209	crossvit_18_dagger_408	96.530	3.470	99.260	0.740	44.61	408	1.000	bicubic
210	resnest269e	96.520	3.480	99.350	0.650	110.93	416	0.928	bicubic
211	vit_base_patch32_384.augreg_in21k_ft_in1k	96.490	3.510	99.410	0.590	88.30	384	1.000	bicubic
212	swinv2_small_window16_256	96.470	3.530	99.200	0.800	49.73	256	0.900	bicubic
213	vit_base_patch16_224_miil.in21k_ft_in1k	96.460	3.540	99.300	0.700	86.54	224	0.875	bilinear
214	resmlp_big_24_distilled_224	96.450	3.550	99.310	0.690	129.14	224	0.875	bicubic
215	cs3se_edgenet_x	96.440	3.560	99.400	0.600	50.72	320	1.000	bicubic
216	swsl_resnext101_32x4d	96.420	3.580	99.470	0.530	44.18	224	0.875	bilinear
217	maxvit_rmlp_tiny_rw_256	96.410	3.590	99.390	0.610	29.15	256	0.950	bicubic
218	regnetv_064	96.410	3.590	99.360	0.640	30.58	288	1.000	bicubic
219	xcit_large_24_p8_224	96.410	3.590	98.980	1.020	188.93	224	1.000	bicubic
220	xcit_small_24_p8_224	96.400	3.600	99.150	0.850	47.63	224	1.000	bicubic
221	tf_efficientnet_b3.ns_jft_in1k	96.390	3.610	99.350	0.650	12.23	300	0.904	bicubic
222	crossvit_15_dagger_408	96.390	3.610	99.160	0.840	28.50	408	1.000	bicubic
223	cait_s24_224	96.380	3.620	99.150	0.850	46.92	224	1.000	bicubic
224	resnet152d	96.360	3.640	99.390	0.610	60.21	320	1.000	bicubic
225	regnety_064	96.360	3.640	99.230	0.770	30.58	288	1.000	bicubic
226	mvitv2_small	96.360	3.640	99.200	0.800	34.87	224	0.900	bicubic
227	pvt_v2_b5	96.360	3.640	99.170	0.830	81.96	224	0.900	bicubic
228	regnety_160	96.350	3.650	99.330	0.670	83.59	288	1.000	bicubic
229	tf_efficientnet_b5.ra_in1k	96.350	3.650	99.310	0.690	30.39	456	0.934	bicubic
230	xception65	96.350	3.650	99.240	0.760	39.92	299	0.940	bicubic
231	tf_efficientnetv2_s.in1k	96.340	3.660	99.200	0.800	21.46	384	1.000	bicubic
232	volo_d1_224	96.330	3.670	99.310	0.690	26.63	224	0.960	bicubic
233	pvt_v2_b4	96.330	3.670	99.180	0.820	62.56	224	0.900	bicubic
234	ig_resnext101_32x8d	96.320	3.680	99.430	0.570	88.79	224	0.875	bilinear
235	deit3_base_patch16_224	96.300	3.700	99.180	0.820	86.59	224	0.900	bicubic
236	gcvit_small	96.300	3.700	99.140	0.860	51.09	224	0.875	bicubic
237	resnet101d	96.290	3.710	99.230	0.770	44.57	320	1.000	bicubic
238	swinv2_small_window8_256	96.270	3.730	99.210	0.790	49.73	256	0.900	bicubic
239	twins_svt_large	96.270	3.730	99.170	0.830	99.27	224	0.900	bicubic
240	jx_nest_base	96.250	3.750	99.210	0.790	67.72	224	0.875	bicubic
241	swin_s3_base_224	96.250	3.750	99.140	0.860	71.13	224	0.900	bicubic
242	maxvit_tiny_rw_224	96.240	3.760	99.120	0.880	29.06	224	0.950	bicubic
243	tf_efficientnetv2_b3.in21k_ft_in1k	96.220	3.780	99.230	0.770	14.36	300	0.900	bicubic
244	swin_s3_small_224	96.220	3.780	99.080	0.920	49.74	224	0.900	bicubic
245	xcit_small_24_p16_224_dist	96.210	3.790	99.210	0.790	47.67	224	1.000	bicubic
246	xception65p	96.210	3.790	99.180	0.820	39.82	299	0.940	bicubic
247	deit3_small_patch16_384	96.200	3.800	99.290	0.710	22.21	384	1.000	bicubic
248	regnetv_040	96.180	3.820	99.330	0.670	20.64	288	1.000	bicubic
249	swinv2_cr_small_ns_224	96.180	3.820	99.140	0.860	49.70	224	0.900	bicubic
250	mobilevitv2_175_384_in22ft1k	96.180	3.820	99.130	0.870	14.25	384	1.000	bicubic
251	gcvit_tiny	96.170	3.830	99.240	0.760	28.22	224	0.875	bicubic
252	tf_efficientnet_b4.ap_in1k	96.160	3.840	99.280	0.720	19.34	380	0.922	bicubic
253	tresnet_v2_l	96.160	3.840	99.240	0.760	46.17	224	0.875	bilinear
254	twins_svt_base	96.160	3.840	99.060	0.940	56.07	224	0.900	bicubic
255	dm_nfnet_f0	96.150	3.850	99.250	0.750	71.49	256	0.900	bicubic
256	efficientnet_b4.ra2_in1k	96.150	3.850	99.200	0.800	19.34	384	1.000	bicubic
257	twins_pcpvt_large	96.150	3.850	99.180	0.820	60.99	224	0.900	bicubic
258	deit_base_patch16_384	96.150	3.850	99.140	0.860	86.86	384	1.000	bicubic
259	vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	96.140	3.860	99.210	0.790	88.22	224	0.900	bicubic
260	sequencer2d_l	96.140	3.860	99.160	0.840	54.30	224	0.875	bicubic
261	resnetv2_50x1_bit_distilled	96.130	3.870	99.280	0.720	25.55	224	0.875	bicubic
262	regnetz_c16_evos	96.120	3.880	99.360	0.640	13.49	320	0.950	bicubic
263	nfnet_l0	96.120	3.880	99.240	0.760	35.07	288	1.000	bicubic
264	efficientformer_l7	96.110	3.890	99.270	0.730	82.23	224	0.950	bicubic
265	xcit_small_12_p8_224	96.110	3.890	99.160	0.840	26.21	224	1.000	bicubic
266	xcit_medium_24_p8_224	96.110	3.890	98.890	1.110	84.32	224	1.000	bicubic
267	resnetv2_101x1_bitm	96.100	3.900	99.280	0.720	44.54	448	1.000	bilinear
268	resnetv2_152x2_bit_teacher	96.100	3.900	99.280	0.720	236.34	224	0.875	bicubic
269	maxvit_tiny_tf_224.in1k	96.100	3.900	99.250	0.750	30.92	224	0.950	bicubic
270	deit_base_distilled_patch16_224	96.090	3.910	99.190	0.810	87.34	224	0.900	bicubic
271	resnext101_64x4d	96.080	3.920	99.240	0.760	83.46	288	1.000	bicubic
272	xcit_tiny_12_p8_384_dist	96.080	3.920	99.140	0.860	6.71	384	1.000	bicubic
273	deit3_medium_patch16_224	96.070	3.930	99.200	0.800	38.85	224	0.900	bicubic
274	swinv2_cr_small_224	96.070	3.930	98.870	1.130	49.70	224	0.900	bicubic
275	mobilevitv2_200_384_in22ft1k	96.040	3.960	99.080	0.920	18.45	384	1.000	bicubic
276	maxxvit_rmlp_nano_rw_256	96.030	3.970	99.260	0.740	16.78	256	0.950	bicubic
277	xcit_small_12_p16_224_dist	96.030	3.970	99.150	0.850	26.25	224	1.000	bicubic
278	cs3edgenet_x	96.030	3.970	99.140	0.860	47.82	288	1.000	bicubic
279	cs3sedarknet_x	96.030	3.970	99.110	0.890	35.40	288	1.000	bicubic
280	coatnet_1_rw_224	96.030	3.970	99.050	0.950	41.72	224	0.950	bicubic
281	regnety_040	96.020	3.980	99.190	0.810	20.65	288	1.000	bicubic
282	convnext_tiny_hnf.a2h_in1k	96.020	3.980	99.070	0.930	28.59	288	1.000	bicubic
283	pvt_v2_b3	95.990	4.010	99.190	0.810	45.24	224	0.900	bicubic
284	sequencer2d_s	95.990	4.010	99.050	0.950	27.65	224	0.875	bicubic
285	convnext_nano.in12k_ft_in1k	95.980	4.020	99.320	0.680	15.59	288	1.000	bicubic
286	maxvit_rmlp_nano_rw_256	95.980	4.020	98.970	1.030	15.50	256	0.950	bicubic
287	regnety_032	95.970	4.030	99.190	0.810	19.44	288	1.000	bicubic
288	tresnet_xl_448	95.970	4.030	99.130	0.870	78.44	448	0.875	bilinear
289	jx_nest_small	95.960	4.040	99.030	0.970	38.35	224	0.875	bicubic
290	xcit_tiny_24_p16_384_dist	95.950	4.050	99.220	0.780	12.12	384	1.000	bicubic
291	eca_nfnet_l0	95.950	4.050	99.210	0.790	24.14	288	1.000	bicubic
292	coatnet_rmlp_1_rw_224	95.950	4.050	99.160	0.840	41.69	224	0.950	bicubic
293	swinv2_tiny_window16_256	95.930	4.070	99.140	0.860	28.35	256	0.900	bicubic
294	maxvit_nano_rw_256	95.930	4.070	99.000	1.000	15.45	256	0.950	bicubic
295	swin_small_patch4_window7_224	95.910	4.090	99.020	0.980	49.61	224	0.900	bicubic
296	tf_efficientnet_b4.aa_in1k	95.900	4.100	99.170	0.830	19.34	380	0.922	bicubic
297	resnet152	95.880	4.120	99.070	0.930	60.19	224	0.950	bicubic
298	swsl_resnext50_32x4d	95.870	4.130	99.250	0.750	25.03	224	0.875	bilinear
299	mvitv2_tiny	95.870	4.130	99.070	0.930	24.17	224	0.900	bicubic
300	resnest101e	95.860	4.140	99.210	0.790	48.28	256	0.875	bilinear
301	cs3darknet_x	95.860	4.140	99.180	0.820	35.05	288	1.000	bicubic
302	resnet51q	95.860	4.140	99.120	0.880	35.70	288	1.000	bilinear
303	tresnet_l_448	95.860	4.140	99.120	0.880	55.99	448	0.875	bilinear
304	cait_xxs36_384	95.850	4.150	99.090	0.910	17.37	384	1.000	bicubic
305	vit_large_patch32_384.orig_in21k_ft_in1k	95.830	4.170	99.150	0.850	306.63	384	1.000	bicubic
306	xcit_tiny_24_p8_224_dist	95.810	4.190	99.210	0.790	12.11	224	1.000	bicubic
307	sequencer2d_m	95.810	4.190	99.110	0.890	38.31	224	0.875	bicubic
308	ssl_resnext101_32x16d	95.800	4.200	99.180	0.820	194.03	224	0.875	bilinear
309	regnetz_c16	95.800	4.200	99.100	0.900	13.46	320	0.940	bicubic
310	convnext_tiny.fb_in1k	95.790	4.210	99.160	0.840	28.59	288	1.000	bicubic
311	twins_pcpvt_base	95.790	4.210	99.130	0.870	43.83	224	0.900	bicubic
312	tf_efficientnet_b2.ns_jft_in1k	95.770	4.230	99.120	0.880	9.11	260	0.890	bicubic
313	resnet61q	95.770	4.230	98.990	1.010	36.85	288	1.000	bicubic
314	vit_relpos_base_patch16_clsgap_224.sw_in1k	95.760	4.240	99.040	0.960	86.43	224	0.900	bicubic
315	gc_efficientnetv2_rw_t.agc_in1k	95.740	4.260	99.020	0.980	13.68	288	1.000	bicubic
316	tresnet_m	95.720	4.280	99.030	0.970	31.39	224	0.875	bilinear
317	efficientnet_b3.ra2_in1k	95.710	4.290	99.040	0.960	12.23	320	1.000	bicubic
318	pnasnet5large	95.710	4.290	98.920	1.080	86.06	331	0.911	bicubic
319	mobilevitv2_150_384_in22ft1k	95.700	4.300	99.140	0.860	10.59	384	1.000	bicubic
320	coatnet_bn_0_rw_224	95.700	4.300	99.050	0.950	27.44	224	0.950	bicubic
321	crossvit_15_dagger_240	95.690	4.310	98.830	1.170	28.21	240	0.875	bicubic
322	flexivit_small.600ep_in1k	95.680	4.320	99.050	0.950	22.06	240	0.950	bicubic
323	nasnetalarge	95.680	4.320	98.930	1.070	88.75	331	0.911	bicubic
324	xcit_tiny_24_p8_224	95.670	4.330	99.050	0.950	12.11	224	1.000	bicubic
325	resnetv2_101	95.640	4.360	98.990	1.010	44.54	224	0.950	bicubic
326	poolformer_m48	95.640	4.360	98.940	1.060	73.47	224	0.950	bicubic
327	pit_b_224	95.640	4.360	98.660	1.340	73.76	224	0.900	bicubic
328	vit_small_r26_s32_224.augreg_in21k_ft_in1k	95.630	4.370	99.190	0.810	36.43	224	0.900	bicubic
329	efficientnetv2_rw_t.ra2_in1k	95.610	4.390	99.070	0.930	13.65	288	1.000	bicubic
330	resnetv2_50d_evos	95.610	4.390	99.030	0.970	25.59	288	0.950	bicubic
331	efficientformer_l3	95.600	4.400	99.160	0.840	31.41	224	0.950	bicubic
332	gcvit_xtiny	95.580	4.420	99.040	0.960	19.98	224	0.875	bicubic
333	crossvit_18_dagger_240	95.570	4.430	99.060	0.940	44.27	240	0.875	bicubic
334	flexivit_small.1200ep_in1k	95.560	4.440	99.120	0.880	22.06	240	0.950	bicubic
335	vit_relpos_base_patch16_224.sw_in1k	95.560	4.440	99.030	0.970	86.43	224	0.900	bicubic
336	pvt_v2_b2_li	95.550	4.450	98.990	1.010	22.55	224	0.900	bicubic
337	convit_base	95.550	4.450	98.870	1.130	86.54	224	0.875	bicubic
338	coat_lite_small	95.540	4.460	98.860	1.140	19.84	224	0.900	bicubic
339	ecaresnet101d	95.530	4.470	99.130	0.870	44.57	224	0.875	bicubic
340	levit_384	95.530	4.470	99.050	0.950	39.13	224	0.900	bicubic
341	vit_base_patch32_clip_224.laion2b_ft_in1k	95.530	4.470	98.860	1.140	88.22	224	0.900	bicubic
342	crossvit_base_240	95.530	4.470	98.820	1.180	105.03	240	0.875	bicubic
343	xcit_small_24_p16_224	95.530	4.470	98.770	1.230	47.67	224	1.000	bicubic
344	xcit_medium_24_p16_224	95.530	4.470	98.740	1.260	84.40	224	1.000	bicubic
345	fbnetv3_g.ra2_in1k	95.520	4.480	98.990	1.010	16.62	288	0.950	bilinear
346	xception41p	95.520	4.480	98.920	1.080	26.91	299	0.940	bicubic
347	ecaresnet50t	95.510	4.490	99.120	0.880	25.57	320	0.950	bicubic
348	vit_relpos_medium_patch16_rpn_224.sw_in1k	95.510	4.490	99.080	0.920	38.73	224	0.900	bicubic
349	swinv2_tiny_window8_256	95.500	4.500	99.120	0.880	28.35	256	0.900	bicubic
350	pvt_v2_b2	95.500	4.500	99.000	1.000	25.36	224	0.900	bicubic
351	flexivit_small.300ep_in1k	95.500	4.500	98.960	1.040	22.06	240	0.950	bicubic
352	visformer_small	95.490	4.510	98.900	1.100	40.22	224	0.900	bicubic
353	vit_relpos_medium_patch16_cls_224.sw_in1k	95.480	4.520	98.950	1.050	38.76	224	0.900	bicubic
354	ssl_resnext101_32x8d	95.470	4.530	99.110	0.890	88.79	224	0.875	bilinear
355	vit_relpos_medium_patch16_224.sw_in1k	95.460	4.540	98.960	1.040	38.75	224	0.900	bicubic
356	ssl_resnext101_32x4d	95.440	4.560	99.130	0.870	44.18	224	0.875	bilinear
357	tresnet_xl	95.440	4.560	99.050	0.950	78.44	224	0.875	bilinear
358	deit_base_patch16_224	95.440	4.560	98.840	1.160	86.57	224	0.900	bicubic
359	crossvit_18_240	95.440	4.560	98.790	1.210	43.27	240	0.875	bicubic
360	resnetv2_50d_gn	95.430	4.570	99.040	0.960	25.57	288	0.950	bicubic
361	resnetrs101	95.430	4.570	99.030	0.970	63.62	288	0.940	bicubic
362	coatnext_nano_rw_224	95.430	4.570	99.000	1.000	14.70	224	0.900	bicubic
363	coatnet_rmlp_nano_rw_224	95.430	4.570	98.990	1.010	15.15	224	0.900	bicubic
364	coatnet_0_rw_224	95.430	4.570	98.720	1.280	27.44	224	0.950	bicubic
365	xcit_small_12_p16_224	95.420	4.580	98.840	1.160	26.25	224	1.000	bicubic
366	xcit_large_24_p16_224	95.420	4.580	98.610	1.390	189.10	224	1.000	bicubic
367	swsl_resnet50	95.410	4.590	99.290	0.710	25.56	224	0.875	bilinear
368	edgenext_small	95.400	4.600	99.100	0.900	5.59	320	1.000	bicubic
369	halo2botnet50ts_256	95.390	4.610	99.010	0.990	22.64	256	0.950	bicubic
370	vit_base_patch16_rpn_224.in1k	95.380	4.620	98.930	1.070	86.54	224	0.900	bicubic
371	poolformer_m36	95.380	4.620	98.850	1.150	56.17	224	0.950	bicubic
372	vit_small_patch16_224.augreg_in21k_ft_in1k	95.370	4.630	99.150	0.850	22.05	224	0.900	bicubic
373	swinv2_cr_tiny_ns_224	95.370	4.630	98.930	1.070	28.33	224	0.900	bicubic
374	convnext_nano.d1h_in1k	95.350	4.650	98.860	1.140	15.59	288	1.000	bicubic
375	resnet101	95.350	4.650	98.860	1.140	44.55	224	0.950	bicubic
376	vit_base_patch16_224.orig_in21k_ft_in1k	95.330	4.670	99.000	1.000	86.57	224	0.900	bicubic
377	tf_efficientnet_b3.ap_in1k	95.320	4.680	98.900	1.100	12.23	300	0.904	bicubic
378	cs3sedarknet_l	95.310	4.690	99.120	0.880	21.91	288	0.950	bicubic
379	mixer_b16_224_miil	95.300	4.700	98.880	1.120	59.88	224	0.875	bilinear
380	vit_small_patch16_384.augreg_in1k	95.290	4.710	99.000	1.000	22.20	384	1.000	bicubic
381	tresnet_l	95.280	4.720	99.010	0.990	55.99	224	0.875	bilinear
382	cait_xxs24_384	95.260	4.740	98.960	1.040	12.03	384	1.000	bicubic
383	jx_nest_tiny	95.250	4.750	98.980	1.020	17.06	224	0.875	bicubic
384	coatnet_nano_rw_224	95.250	4.750	98.870	1.130	15.14	224	0.900	bicubic
385	pit_s_distilled_224	95.240	4.760	99.050	0.950	24.04	224	0.900	bicubic
386	vit_srelpos_medium_patch16_224.sw_in1k	95.230	4.770	98.990	1.010	38.74	224	0.900	bicubic
387	mobilevitv2_175_in22ft1k	95.230	4.770	98.790	1.210	14.25	256	0.888	bicubic
388	resnetaa50	95.210	4.790	98.930	1.070	25.56	288	1.000	bicubic
389	twins_pcpvt_small	95.210	4.790	98.880	1.120	24.11	224	0.900	bicubic
390	convit_small	95.200	4.800	98.900	1.100	27.78	224	0.875	bicubic
391	twins_svt_small	95.200	4.800	98.880	1.120	24.06	224	0.900	bicubic
392	tf_efficientnet_b1.ns_jft_in1k	95.170	4.830	99.110	0.890	7.79	240	0.882	bicubic
393	cs3darknet_focus_l	95.170	4.830	98.960	1.040	21.15	288	0.950	bicubic
394	vit_relpos_small_patch16_224.sw_in1k	95.160	4.840	98.950	1.050	21.98	224	0.900	bicubic
395	swin_s3_tiny_224	95.160	4.840	98.940	1.060	28.33	224	0.900	bicubic
396	mobilevitv2_200_in22ft1k	95.160	4.840	98.930	1.070	18.45	256	0.888	bicubic
397	lamhalobotnet50ts_256	95.160	4.840	98.880	1.120	22.57	256	0.950	bicubic
398	tf_efficientnetv2_b3.in1k	95.160	4.840	98.820	1.180	14.36	300	0.904	bicubic
399	crossvit_15_240	95.150	4.850	98.930	1.070	27.53	240	0.875	bicubic
400	mobilevitv2_150_in22ft1k	95.140	4.860	98.860	1.140	10.59	256	0.888	bicubic
401	swin_tiny_patch4_window7_224	95.140	4.860	98.850	1.150	28.29	224	0.900	bicubic
402	xcit_tiny_12_p16_384_dist	95.130	4.870	99.020	0.980	6.72	384	1.000	bicubic
403	convnext_nano_ols.d1h_in1k	95.130	4.870	98.720	1.280	15.65	288	1.000	bicubic
404	efficientnet_el.ra_in1k	95.120	4.880	98.990	1.010	10.59	300	0.904	bicubic
405	cs3darknet_l	95.120	4.880	98.980	1.020	21.16	288	0.950	bicubic
406	vit_base_patch32_clip_224.openai_ft_in1k	95.120	4.880	98.980	1.020	88.22	224	0.900	bicubic
407	halonet50ts	95.100	4.900	98.780	1.220	22.73	256	0.940	bicubic
408	poolformer_s36	95.090	4.910	98.910	1.090	30.86	224	0.900	bicubic
409	gernet_l	95.090	4.910	98.900	1.100	31.08	256	0.875	bilinear
410	ecaresnet101d_pruned	95.080	4.920	98.980	1.020	24.88	224	0.875	bicubic
411	wide_resnet50_2	95.080	4.920	98.970	1.030	68.88	224	0.875	bicubic
412	xcit_tiny_12_p8_224_dist	95.080	4.920	98.910	1.090	6.71	224	1.000	bicubic
413	regnetz_b16	95.070	4.930	99.050	0.950	9.72	288	0.940	bicubic
414	legacy_senet154	95.070	4.930	98.830	1.170	115.09	224	0.875	bilinear
415	convmixer_1536_20	95.060	4.940	99.030	0.970	51.63	224	0.960	bicubic
416	vit_small_patch32_384.augreg_in21k_ft_in1k	95.050	4.950	98.990	1.010	22.92	384	1.000	bicubic
417	vit_srelpos_small_patch16_224.sw_in1k	95.040	4.960	98.960	1.040	21.97	224	0.900	bicubic
418	gluon_resnet152_v1s	95.040	4.960	98.930	1.070	60.32	224	0.875	bicubic
419	seresnext50_32x4d	95.040	4.960	98.880	1.120	27.56	224	0.875	bicubic
420	tnt_s_patch16_224	95.040	4.960	98.830	1.170	23.76	224	0.900	bicubic
421	resnetv2_50x1_bitm	95.010	4.990	99.060	0.940	25.55	448	1.000	bilinear
422	tf_efficientnet_b3.aa_in1k	95.010	4.990	98.910	1.090	12.23	300	0.904	bicubic
423	levit_256	95.010	4.990	98.890	1.110	18.89	224	0.900	bicubic
424	vit_base_patch32_224.augreg_in21k_ft_in1k	95.000	5.000	99.030	0.970	88.22	224	0.900	bicubic
425	deit3_small_patch16_224	95.000	5.000	98.460	1.540	22.06	224	0.900	bicubic
426	tresnet_m_448	94.990	5.010	98.980	1.020	31.39	448	0.875	bilinear
427	coat_mini	94.970	5.030	98.780	1.220	10.34	224	0.900	bicubic
428	resnest50d_4s2x40d	94.960	5.040	99.070	0.930	30.42	224	0.875	bicubic
429	rexnet_200	94.940	5.060	99.010	0.990	16.37	224	0.875	bicubic
430	vit_base_patch16_384.augreg_in1k	94.940	5.060	98.890	1.110	86.86	384	1.000	bicubic
431	gluon_seresnext101_64x4d	94.930	5.070	98.830	1.170	88.23	224	0.875	bicubic
432	gluon_seresnext101_32x4d	94.920	5.080	98.810	1.190	48.96	224	0.875	bicubic
433	gluon_senet154	94.920	5.080	98.760	1.240	115.09	224	0.875	bicubic
434	mobilevitv2_175	94.900	5.100	98.870	1.130	14.25	256	0.888	bicubic
435	tf_efficientnet_lite4.in1k	94.890	5.110	99.020	0.980	13.01	380	0.920	bilinear
436	resmlp_36_distilled_224	94.890	5.110	98.850	1.150	44.69	224	0.875	bicubic
437	ssl_resnext50_32x4d	94.870	5.130	98.880	1.120	25.03	224	0.875	bilinear
438	seresnet33ts	94.860	5.140	98.790	1.210	19.78	256	0.900	bicubic
439	convnext_tiny.fb_in22k_ft_in1k	94.860	5.140	98.530	1.470	28.59	288	1.000	bicubic
440	gcresnet50t	94.850	5.150	98.790	1.210	25.90	256	0.900	bicubic
441	cspresnext50	94.840	5.160	98.770	1.230	20.57	256	0.887	bilinear
442	crossvit_small_240	94.830	5.170	99.020	0.980	26.86	240	0.875	bicubic
443	resnest50d	94.830	5.170	98.880	1.120	27.48	224	0.875	bilinear
444	mobilevitv2_200	94.830	5.170	98.710	1.290	18.45	256	0.888	bicubic
445	ecaresnetlight	94.770	5.230	98.800	1.200	30.16	224	0.875	bicubic
446	sehalonet33ts	94.770	5.230	98.570	1.430	13.69	256	0.940	bicubic
447	lambda_resnet50ts	94.770	5.230	98.470	1.530	21.54	256	0.950	bicubic
448	resnest50d_1s4x24d	94.750	5.250	98.980	1.020	25.68	224	0.875	bicubic
449	gluon_resnet152_v1d	94.740	5.260	98.740	1.260	60.21	224	0.875	bicubic
450	convnext_pico.d1_in1k	94.740	5.260	98.700	1.300	9.05	288	0.950	bicubic
451	gluon_resnet101_v1s	94.720	5.280	98.820	1.180	44.67	224	0.875	bicubic
452	deit_small_distilled_patch16_224	94.710	5.290	99.030	0.970	22.44	224	0.900	bicubic
453	haloregnetz_b	94.700	5.300	98.660	1.340	11.68	224	0.940	bicubic
454	xcit_tiny_12_p8_224	94.680	5.320	98.830	1.170	6.71	224	1.000	bicubic
455	gluon_resnext101_64x4d	94.670	5.330	98.650	1.350	83.46	224	0.875	bicubic
456	cspdarknet53	94.660	5.340	98.800	1.200	27.64	256	0.887	bilinear
457	edgenext_small_rw	94.660	5.340	98.790	1.210	7.83	320	1.000	bicubic
458	resmlp_big_24_224	94.660	5.340	98.480	1.520	129.14	224	0.875	bicubic
459	darknet53	94.630	5.370	98.890	1.110	41.61	288	1.000	bicubic
460	ecaresnet50d	94.630	5.370	98.890	1.110	25.58	224	0.875	bicubic
461	maxvit_rmlp_pico_rw_256	94.630	5.370	98.820	1.180	7.52	256	0.950	bicubic
462	efficientnet_b3_pruned.in1k	94.630	5.370	98.760	1.240	9.86	300	0.904	bicubic
463	gernet_m	94.620	5.380	98.860	1.140	21.14	224	0.875	bilinear
464	convnext_pico_ols.d1_in1k	94.620	5.380	98.770	1.230	9.06	288	1.000	bicubic
465	efficientnet_b2.ra_in1k	94.610	5.390	98.710	1.290	9.11	288	1.000	bicubic
466	pit_s_224	94.590	5.410	98.710	1.290	23.46	224	0.900	bicubic
467	sebotnet33ts_256	94.590	5.410	98.500	1.500	13.70	256	0.940	bicubic
468	repvgg_b3	94.570	5.430	98.780	1.220	123.09	224	0.875	bilinear
469	poolformer_s24	94.560	5.440	98.880	1.120	21.39	224	0.900	bicubic
470	nf_resnet50	94.560	5.440	98.790	1.210	25.56	288	0.940	bicubic
471	resnext50_32x4d	94.560	5.440	98.610	1.390	25.03	224	0.950	bicubic
472	seresnet50	94.550	5.450	98.750	1.250	28.09	224	0.875	bicubic
473	mobilevitv2_150	94.550	5.450	98.710	1.290	10.59	256	0.888	bicubic
474	regnety_320	94.540	5.460	98.850	1.150	145.05	224	0.875	bicubic
475	inception_resnet_v2	94.540	5.460	98.790	1.210	55.84	299	0.897	bicubic
476	xcit_tiny_24_p16_224_dist	94.530	5.470	98.780	1.220	12.12	224	1.000	bicubic
477	gluon_resnext101_32x4d	94.530	5.470	98.630	1.370	44.18	224	0.875	bicubic
478	repvgg_b3g4	94.520	5.480	98.970	1.030	83.83	224	0.875	bilinear
479	convmixer_768_32	94.500	5.500	98.850	1.150	21.11	224	0.960	bicubic
480	efficientformer_l1	94.490	5.510	98.830	1.170	12.29	224	0.950	bicubic
481	gcresnext50ts	94.490	5.510	98.670	1.330	15.67	256	0.900	bicubic
482	tf_efficientnet_b2.ap_in1k	94.490	5.510	98.620	1.380	9.11	260	0.890	bicubic
483	regnety_120	94.480	5.520	98.810	1.190	51.82	224	0.875	bicubic
484	rexnet_150	94.480	5.520	98.790	1.210	9.73	224	0.875	bicubic
485	darknetaa53	94.470	5.530	98.770	1.230	36.02	288	1.000	bilinear
486	gcresnet33ts	94.470	5.530	98.770	1.230	19.88	256	0.900	bicubic
487	resmlp_24_distilled_224	94.460	5.540	98.770	1.230	30.02	224	0.875	bicubic
488	regnetx_320	94.460	5.540	98.740	1.260	107.81	224	0.875	bicubic
489	ssl_resnet50	94.450	5.550	98.920	1.080	25.56	224	0.875	bilinear
490	resnetv2_50	94.440	5.560	98.740	1.260	25.55	224	0.950	bicubic
491	tf_efficientnetv2_b2.in1k	94.420	5.580	98.570	1.430	10.10	260	0.890	bicubic
492	tf_efficientnet_el.in1k	94.410	5.590	98.710	1.290	10.59	300	0.904	bicubic
493	gcvit_xxtiny	94.400	5.600	98.900	1.100	12.00	224	0.875	bicubic
494	efficientnet_el_pruned.in1k	94.400	5.600	98.740	1.260	10.59	300	0.904	bicubic
495	deit_small_patch16_224	94.400	5.600	98.690	1.310	22.05	224	0.900	bicubic
496	inception_v4	94.380	5.620	98.580	1.420	42.68	299	0.875	bicubic
497	legacy_seresnext101_32x4d	94.370	5.630	98.650	1.350	48.96	224	0.875	bilinear
498	tf_efficientnet_b2.aa_in1k	94.360	5.640	98.610	1.390	9.11	260	0.890	bicubic
499	resnet50_gn	94.350	5.650	98.710	1.290	25.56	224	0.940	bicubic
500	gluon_seresnext50_32x4d	94.340	5.660	98.610	1.390	27.56	224	0.875	bicubic
501	resnet50	94.320	5.680	98.440	1.560	25.56	224	0.950	bicubic
502	ecaresnet26t	94.310	5.690	98.720	1.280	16.01	320	0.950	bicubic
503	resnetrs50	94.310	5.690	98.640	1.360	35.69	224	0.910	bicubic
504	dpn107	94.310	5.690	98.480	1.520	86.92	224	0.875	bicubic
505	xception71	94.280	5.720	98.640	1.360	42.34	299	0.903	bicubic
506	cait_xxs36_224	94.260	5.740	98.720	1.280	17.30	224	1.000	bicubic
507	resnet50d	94.260	5.740	98.720	1.280	25.58	224	0.875	bicubic
508	gluon_xception65	94.260	5.740	98.570	1.430	39.92	299	0.903	bicubic
509	skresnext50_32x4d	94.260	5.740	98.460	1.540	27.48	224	0.875	bicubic
510	regnetx_120	94.240	5.760	98.650	1.350	46.11	224	0.875	bicubic
511	dpn92	94.230	5.770	98.730	1.270	37.67	224	0.875	bicubic
512	ecaresnet50d_pruned	94.220	5.780	98.730	1.270	19.94	224	0.875	bicubic
513	gluon_resnet101_v1d	94.220	5.780	98.550	1.450	44.57	224	0.875	bicubic
514	tf_efficientnet_lite3.in1k	94.200	5.800	98.640	1.360	8.20	300	0.904	bilinear
515	eca_resnet33ts	94.190	5.810	98.760	1.240	19.68	256	0.900	bicubic
516	resmlp_36_224	94.190	5.810	98.660	1.340	44.69	224	0.875	bicubic
517	mixnet_xl.ra_in1k	94.190	5.810	98.340	1.660	11.90	224	0.875	bicubic
518	resnext50d_32x4d	94.180	5.820	98.570	1.430	25.05	224	0.875	bicubic
519	levit_192	94.170	5.830	98.540	1.460	10.95	224	0.900	bicubic
520	gluon_resnet152_v1c	94.160	5.840	98.640	1.360	60.21	224	0.875	bicubic
521	ens_adv_inception_resnet_v2	94.160	5.840	98.600	1.400	55.84	299	0.897	bicubic
522	gmlp_s16_224	94.160	5.840	98.500	1.500	19.42	224	0.875	bicubic
523	vit_base_patch16_224.sam	94.140	5.860	98.670	1.330	86.57	224	0.900	bicubic
524	efficientnet_b2_pruned.in1k	94.140	5.860	98.530	1.470	8.31	260	0.890	bicubic
525	dpn98	94.130	5.870	98.570	1.430	61.57	224	0.875	bicubic
526	regnetx_160	94.120	5.880	98.740	1.260	54.28	224	0.875	bicubic
527	nf_regnet_b1	94.120	5.880	98.630	1.370	10.22	288	0.900	bicubic
528	ese_vovnet39b	94.090	5.910	98.660	1.340	24.57	224	0.875	bicubic
529	xcit_tiny_24_p16_224	94.080	5.920	98.520	1.480	12.12	224	1.000	bicubic
530	gluon_resnet152_v1b	94.080	5.920	98.450	1.550	60.19	224	0.875	bicubic
531	coat_lite_mini	94.060	5.940	98.560	1.440	11.01	224	0.900	bicubic
532	eca_halonext26ts	94.040	5.960	98.490	1.510	10.76	256	0.940	bicubic
533	resmlp_24_224	94.020	5.980	98.330	1.670	30.02	224	0.875	bicubic
534	dpn131	94.010	5.990	98.720	1.280	79.25	224	0.875	bicubic
535	hrnet_w64	94.010	5.990	98.610	1.390	128.06	224	0.875	bilinear
536	halonet26t	93.980	6.020	98.500	1.500	12.48	256	0.950	bicubic
537	fbnetv3_b.ra2_in1k	93.960	6.040	98.630	1.370	8.60	256	0.950	bilinear
538	resnetblur50	93.960	6.040	98.590	1.410	25.56	224	0.875	bicubic
539	mobilevitv2_125	93.960	6.040	98.560	1.440	7.48	256	0.888	bicubic
540	dla102x2	93.950	6.050	98.490	1.510	41.28	224	0.875	bilinear
541	tf_efficientnetv2_b1.in1k	93.940	6.060	98.620	1.380	8.14	240	0.882	bicubic
542	fbnetv3_d.ra2_in1k	93.930	6.070	98.740	1.260	10.31	256	0.950	bilinear
543	convnext_femto_ols.d1_in1k	93.920	6.080	98.610	1.390	5.23	288	0.950	bicubic
544	hrnet_w48	93.920	6.080	98.610	1.390	77.47	224	0.875	bilinear
545	convnext_femto.d1_in1k	93.920	6.080	98.520	1.480	5.22	288	0.950	bicubic
546	rexnet_130	93.900	6.100	98.400	1.600	7.56	224	0.875	bicubic
547	tf_efficientnet_cc_b1_8e.in1k	93.900	6.100	98.260	1.740	39.72	240	0.882	bicubic
548	regnetx_064	93.890	6.110	98.630	1.370	26.21	224	0.875	bicubic
549	vit_small_patch16_224.augreg_in1k	93.890	6.110	98.440	1.560	22.05	224	0.900	bicubic
550	regnetx_080	93.870	6.130	98.520	1.480	39.57	224	0.875	bicubic
551	repvgg_b2g4	93.860	6.140	98.590	1.410	61.76	224	0.875	bilinear
552	efficientnet_em.ra2_in1k	93.840	6.160	98.810	1.190	6.90	240	0.882	bicubic
553	lambda_resnet26t	93.840	6.160	98.640	1.360	10.96	256	0.940	bicubic
554	resnext101_32x8d	93.830	6.170	98.580	1.420	88.79	224	0.875	bilinear
555	pvt_v2_b1	93.820	6.180	98.660	1.340	14.01	224	0.900	bicubic
556	pit_xs_distilled_224	93.810	6.190	98.670	1.330	11.00	224	0.900	bicubic
557	gluon_resnext50_32x4d	93.810	6.190	98.410	1.590	25.03	224	0.875	bicubic
558	eca_botnext26ts_256	93.790	6.210	98.500	1.500	10.59	256	0.950	bicubic
559	gluon_resnet50_v1d	93.770	6.230	98.390	1.610	25.58	224	0.875	bicubic
560	gluon_resnet101_v1b	93.750	6.250	98.380	1.620	44.55	224	0.875	bicubic
561	res2net101_26w_4s	93.750	6.250	98.310	1.690	45.21	224	0.875	bilinear
562	cspresnet50	93.740	6.260	98.640	1.360	21.62	256	0.887	bilinear
563	legacy_seresnext50_32x4d	93.730	6.270	98.580	1.420	27.56	224	0.875	bilinear
564	wide_resnet101_2	93.720	6.280	98.540	1.460	126.89	224	0.875	bilinear
565	vit_relpos_base_patch32_plus_rpn_256.sw_in1k	93.720	6.280	98.070	1.930	119.42	256	0.900	bicubic
566	lambda_resnet26rpt_256	93.710	6.290	98.510	1.490	10.99	256	0.940	bicubic
567	dpn68b	93.690	6.310	98.510	1.490	12.61	224	0.875	bicubic
568	tf_efficientnet_b1.ap_in1k	93.690	6.310	98.360	1.640	7.79	240	0.882	bicubic
569	gluon_resnet101_v1c	93.670	6.330	98.420	1.580	44.57	224	0.875	bicubic
570	vit_tiny_patch16_384.augreg_in21k_ft_in1k	93.650	6.350	98.600	1.400	5.79	384	1.000	bicubic
571	vit_base_patch32_384.augreg_in1k	93.640	6.360	98.400	1.600	88.30	384	1.000	bicubic
572	tf_efficientnet_b0.ns_jft_in1k	93.630	6.370	98.640	1.360	5.29	224	0.875	bicubic
573	vit_base_patch16_224.augreg_in1k	93.630	6.370	98.240	1.760	86.57	224	0.900	bicubic
574	gluon_resnet50_v1s	93.620	6.380	98.460	1.540	25.68	224	0.875	bicubic
575	resnet33ts	93.600	6.400	98.540	1.460	19.68	256	0.900	bicubic
576	cait_xxs24_224	93.600	6.400	98.440	1.560	11.96	224	1.000	bicubic
577	coat_tiny	93.590	6.410	98.430	1.570	5.50	224	0.900	bicubic
578	regnetx_040	93.560	6.440	98.540	1.460	22.12	224	0.875	bicubic
579	hrnet_w44	93.550	6.450	98.700	1.300	67.06	224	0.875	bilinear
580	res2net50_26w_8s	93.540	6.460	98.260	1.740	48.40	224	0.875	bilinear
581	hrnet_w32	93.530	6.470	98.450	1.550	41.23	224	0.875	bilinear
582	dla102x	93.520	6.480	98.510	1.490	26.31	224	0.875	bilinear
583	botnet26t_256	93.520	6.480	98.300	1.700	12.49	256	0.950	bicubic
584	repvgg_b2	93.500	6.500	98.730	1.270	89.02	224	0.875	bilinear
585	xcit_nano_12_p8_384_dist	93.500	6.500	98.530	1.470	3.05	384	1.000	bicubic
586	tf_efficientnet_b1.aa_in1k	93.500	6.500	98.360	1.640	7.79	240	0.882	bicubic
587	hrnet_w40	93.490	6.510	98.580	1.420	57.56	224	0.875	bilinear
588	gluon_inception_v3	93.460	6.540	98.570	1.430	23.83	299	0.875	bicubic
589	xception	93.460	6.540	98.530	1.470	22.86	299	0.897	bicubic
590	resnet32ts	93.460	6.540	98.490	1.510	17.96	256	0.900	bicubic
591	mixnet_l.ft_in1k	93.450	6.550	98.220	1.780	7.33	224	0.875	bicubic
592	xception41	93.430	6.570	98.430	1.570	26.97	299	0.903	bicubic
593	res2net50_26w_6s	93.410	6.590	98.280	1.720	37.05	224	0.875	bilinear
594	legacy_seresnet152	93.400	6.600	98.350	1.650	66.82	224	0.875	bilinear
595	xcit_tiny_12_p16_224_dist	93.390	6.610	98.500	1.500	6.72	224	1.000	bicubic
596	cs3darknet_m	93.350	6.650	98.600	1.400	9.31	288	0.950	bicubic
597	dla169	93.340	6.660	98.600	1.400	53.39	224	0.875	bilinear
598	levit_128	93.340	6.660	98.380	1.620	9.21	224	0.900	bicubic
599	resnest26d	93.330	6.670	98.630	1.370	17.07	224	0.875	bilinear
600	repvgg_b1	93.330	6.670	98.510	1.490	57.42	224	0.875	bilinear
601	bat_resnext26ts	93.330	6.670	98.350	1.650	10.73	256	0.900	bicubic
602	tf_inception_v3	93.320	6.680	98.030	1.970	23.83	299	0.875	bicubic
603	tf_mixnet_l.in1k	93.310	6.690	98.030	1.970	7.33	224	0.875	bicubic
604	tv_resnet152	93.300	6.700	98.390	1.610	60.19	224	0.875	bilinear
605	selecsls60b	93.300	6.700	98.280	1.720	32.77	224	0.875	bicubic
606	legacy_seresnet101	93.280	6.720	98.510	1.490	49.33	224	0.875	bilinear
607	mobilevitv2_100	93.270	6.730	98.280	1.720	4.90	256	0.888	bicubic
608	efficientnet_b1.ft_in1k	93.250	6.750	98.290	1.710	7.79	256	1.000	bicubic
609	coat_lite_tiny	93.240	6.760	98.260	1.740	5.72	224	0.900	bicubic
610	hrnet_w30	93.200	6.800	98.410	1.590	37.71	224	0.875	bilinear
611	mobilevit_s	93.180	6.820	98.430	1.570	5.58	256	0.900	bicubic
612	dla60_res2net	93.180	6.820	98.420	1.580	20.85	224	0.875	bilinear
613	dla60_res2next	93.180	6.820	98.410	1.590	17.03	224	0.875	bilinear
614	efficientnet_es.ra_in1k	93.140	6.860	98.420	1.580	5.44	224	0.875	bicubic
615	dla60x	93.120	6.880	98.510	1.490	17.35	224	0.875	bilinear
616	regnetx_032	93.120	6.880	98.390	1.610	15.30	224	0.875	bicubic
617	tf_efficientnetv2_b0.in1k	93.110	6.890	98.390	1.610	7.14	224	0.875	bicubic
618	pit_xs_224	93.110	6.890	98.310	1.690	10.62	224	0.900	bicubic
619	convnext_atto_ols.a2_in1k	93.080	6.920	98.470	1.530	3.70	288	0.950	bicubic
620	dla102	93.060	6.940	98.540	1.460	33.27	224	0.875	bilinear
621	gluon_resnet50_v1c	93.030	6.970	98.390	1.610	25.58	224	0.875	bicubic
622	regnety_016	93.030	6.970	98.360	1.640	11.20	224	0.875	bicubic
623	selecsls60	93.030	6.970	98.300	1.700	30.67	224	0.875	bicubic
624	rexnet_100	93.030	6.970	98.190	1.810	4.80	224	0.875	bicubic
625	repvgg_b1g4	92.980	7.020	98.430	1.570	39.97	224	0.875	bilinear
626	legacy_seresnet50	92.960	7.040	98.190	1.810	28.09	224	0.875	bilinear
627	cs3darknet_focus_m	92.950	7.050	98.390	1.610	9.30	288	0.950	bicubic
628	hardcorenas_f	92.950	7.050	98.160	1.840	8.20	224	0.875	bilinear
629	tf_efficientnet_em.in1k	92.930	7.070	98.190	1.810	6.90	240	0.882	bicubic
630	crossvit_9_dagger_240	92.900	7.100	98.240	1.760	8.78	240	0.875	bicubic
631	adv_inception_v3	92.880	7.120	98.140	1.860	23.83	299	0.875	bicubic
632	res2next50	92.840	7.160	98.180	1.820	24.67	224	0.875	bilinear
633	tf_efficientnet_cc_b0_8e.in1k	92.830	7.170	98.180	1.820	24.01	224	0.875	bicubic
634	resmlp_12_distilled_224	92.830	7.170	98.140	1.860	15.35	224	0.875	bicubic
635	gmixer_24_224	92.830	7.170	97.880	2.120	24.72	224	0.875	bicubic
636	seresnext26t_32x4d	92.820	7.180	98.370	1.630	16.81	224	0.875	bicubic
637	tv_resnet101	92.810	7.190	98.250	1.750	44.55	224	0.875	bilinear
638	convnext_atto.d2_in1k	92.790	7.210	98.060	1.940	3.70	288	0.950	bicubic
639	gcresnext26ts	92.770	7.230	98.260	1.740	10.48	256	0.900	bicubic
640	efficientnet_b1_pruned.in1k	92.770	7.230	98.040	1.960	6.33	240	0.882	bicubic
641	densenet201	92.750	7.250	98.230	1.770	20.01	224	0.875	bicubic
642	resnet26t	92.750	7.250	98.210	1.790	16.01	256	0.940	bicubic
643	tv_resnext50_32x4d	92.740	7.260	98.270	1.730	25.03	224	0.875	bilinear
644	res2net50_14w_8s	92.740	7.260	98.180	1.820	25.06	224	0.875	bilinear
645	inception_v3	92.720	7.280	97.970	2.030	23.83	299	0.875	bicubic
646	seresnext26d_32x4d	92.700	7.300	98.150	1.850	16.81	224	0.875	bicubic
647	seresnext26ts	92.690	7.310	98.290	1.710	10.39	256	0.900	bicubic
648	efficientnet_b0.ra_in1k	92.690	7.310	98.070	1.930	5.29	224	0.875	bicubic
649	resnet34d	92.680	7.320	98.310	1.690	21.82	224	0.875	bicubic
650	tf_efficientnet_lite2.in1k	92.650	7.350	98.230	1.770	6.09	260	0.890	bicubic
651	legacy_seresnext26_32x4d	92.640	7.360	98.130	1.870	16.79	224	0.875	bicubic
652	poolformer_s12	92.620	7.380	98.200	1.800	11.92	224	0.900	bicubic
653	tf_efficientnet_lite1.in1k	92.620	7.380	98.080	1.920	5.42	240	0.882	bicubic
654	eca_resnext26ts	92.610	7.390	98.260	1.740	10.30	256	0.900	bicubic
655	tf_efficientnet_cc_b0_4e.in1k	92.590	7.410	98.080	1.920	13.31	224	0.875	bicubic
656	hardcorenas_e	92.570	7.430	98.110	1.890	8.07	224	0.875	bilinear
657	res2net50_48w_2s	92.550	7.450	98.080	1.920	25.29	224	0.875	bilinear
658	gluon_resnet50_v1b	92.540	7.460	98.170	1.830	25.56	224	0.875	bicubic
659	densenet161	92.500	7.500	98.290	1.710	28.68	224	0.875	bicubic
660	xcit_tiny_12_p16_224	92.500	7.500	98.240	1.760	6.72	224	1.000	bicubic
661	res2net50_26w_4s	92.500	7.500	98.060	1.940	25.70	224	0.875	bilinear
662	tinynet_a.in1k	92.440	7.560	98.080	1.920	6.19	192	0.875	bicubic
663	convmixer_1024_20_ks9_p14	92.430	7.570	98.270	1.730	24.38	224	0.960	bicubic
664	mixnet_m.ft_in1k	92.430	7.570	97.870	2.130	5.01	224	0.875	bicubic
665	hardcorenas_d	92.400	7.600	98.070	1.930	7.50	224	0.875	bilinear
666	mobilenetv2_120d.ra_in1k	92.400	7.600	98.050	1.950	5.83	224	0.875	bicubic
667	skresnet34	92.390	7.610	98.150	1.850	22.28	224	0.875	bicubic
668	tf_mixnet_m.in1k	92.330	7.670	97.890	2.110	5.01	224	0.875	bicubic
669	hrnet_w18	92.320	7.680	98.240	1.760	21.30	224	0.875	bilinear
670	ese_vovnet19b_dw	92.290	7.710	98.090	1.910	6.54	224	0.875	bicubic
671	selecsls42b	92.280	7.720	98.150	1.850	32.46	224	0.875	bicubic
672	mobilenetv3_large_100.miil_in21k_ft_in1k	92.260	7.740	97.640	2.360	5.48	224	0.875	bilinear
673	tf_efficientnet_b0.aa_in1k	92.250	7.750	98.000	2.000	5.29	224	0.875	bicubic
674	dla60	92.230	7.770	98.110	1.890	22.04	224	0.875	bilinear
675	resmlp_12_224	92.210	7.790	98.160	1.840	15.35	224	0.875	bicubic
676	tf_efficientnet_b0.ap_in1k	92.200	7.800	98.020	1.980	5.29	224	0.875	bicubic
677	regnetx_016	92.170	7.830	98.210	1.790	9.19	224	0.875	bicubic
678	gernet_s	92.140	7.860	98.190	1.810	8.17	224	0.875	bilinear
679	xcit_nano_12_p8_224_dist	92.090	7.910	98.160	1.840	3.05	224	1.000	bicubic
680	resnet26d	92.070	7.930	97.960	2.040	16.01	224	0.875	bicubic
681	vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	92.040	7.960	98.290	1.710	6.36	384	1.000	bicubic
682	vit_small_patch32_224.augreg_in21k_ft_in1k	92.040	7.960	98.230	1.770	22.88	224	0.900	bicubic
683	hardcorenas_c	92.020	7.980	97.840	2.160	5.52	224	0.875	bilinear
684	dpn68	92.010	7.990	98.050	1.950	12.61	224	0.875	bicubic
685	tf_efficientnet_es.in1k	91.980	8.020	97.860	2.140	5.44	224	0.875	bicubic
686	levit_128s	91.970	8.030	98.060	1.940	7.78	224	0.900	bicubic
687	repvgg_a2	91.940	8.060	98.150	1.850	28.21	224	0.875	bilinear
688	densenet169	91.930	8.070	98.100	1.900	14.15	224	0.875	bicubic
689	densenetblur121d	91.910	8.090	98.070	1.930	8.00	224	0.875	bicubic
690	tv_resnet50	91.880	8.120	98.040	1.960	25.56	224	0.875	bilinear
691	resnext26ts	91.870	8.130	97.920	2.080	10.30	256	0.900	bicubic
692	mixer_b16_224	91.870	8.130	97.250	2.750	59.88	224	0.875	bicubic
693	mobilenetv2_140.ra_in1k	91.830	8.170	97.860	2.140	6.11	224	0.875	bicubic
694	mixnet_s.ft_in1k	91.830	8.170	97.690	2.310	4.13	224	0.875	bicubic
695	xcit_nano_12_p16_384_dist	91.820	8.180	98.020	1.980	3.05	384	1.000	bicubic
696	hardcorenas_b	91.770	8.230	97.780	2.220	5.18	224	0.875	bilinear
697	vit_tiny_patch16_224.augreg_in21k_ft_in1k	91.760	8.240	98.040	1.960	5.72	224	0.900	bicubic
698	mobilevitv2_075	91.760	8.240	97.860	2.140	2.87	256	0.888	bicubic
699	regnety_008	91.750	8.250	98.180	1.820	6.26	224	0.875	bicubic
700	resnest14d	91.720	8.280	97.870	2.130	10.61	224	0.875	bilinear
701	edgenext_x_small	91.720	8.280	97.610	2.390	2.34	288	1.000	bicubic
702	densenet121	91.570	8.430	98.030	1.970	7.98	224	0.875	bicubic
703	tf_mixnet_s.in1k	91.510	8.490	97.620	2.380	4.13	224	0.875	bicubic
704	repvgg_b0	91.430	8.570	97.990	2.010	15.82	224	0.875	bilinear
705	regnety_006	91.370	8.630	97.710	2.290	6.06	224	0.875	bicubic
706	hardcorenas_a	91.350	8.650	97.860	2.140	5.26	224	0.875	bilinear
707	mobilenetv3_large_100.ra_in1k	91.320	8.680	97.710	2.290	5.48	224	0.875	bicubic
708	semnasnet_100.rmsp_in1k	91.280	8.720	97.560	2.440	3.89	224	0.875	bicubic
709	tf_mobilenetv3_large_100.in1k	91.240	8.760	97.660	2.340	5.48	224	0.875	bilinear
710	mobilenetv3_rw.rmsp_in1k	91.210	8.790	97.660	2.340	5.48	224	0.875	bicubic
711	hrnet_w18_small_v2	91.190	8.810	97.900	2.100	15.60	224	0.875	bilinear
712	vit_base_patch32_224.augreg_in1k	91.190	8.810	97.380	2.620	88.22	224	0.900	bicubic
713	efficientnet_es_pruned.in1k	91.180	8.820	97.750	2.250	5.44	224	0.875	bicubic
714	efficientnet_lite0.ra_in1k	91.140	8.860	97.630	2.370	4.65	224	0.875	bicubic
715	resnet34	91.130	8.870	97.620	2.380	21.80	224	0.875	bilinear
716	resnet26	91.110	8.890	97.740	2.260	16.00	224	0.875	bicubic
717	regnetx_008	91.050	8.950	97.710	2.290	7.26	224	0.875	bicubic
718	tf_efficientnet_lite0.in1k	91.040	8.960	97.590	2.410	4.65	224	0.875	bicubic
719	xcit_nano_12_p8_224	91.020	8.980	97.800	2.200	3.05	224	1.000	bicubic
720	gluon_resnet34_v1b	90.960	9.040	97.630	2.370	21.80	224	0.875	bicubic
721	mobilenetv2_110d.ra_in1k	90.950	9.050	97.550	2.450	4.52	224	0.875	bicubic
722	tinynet_b.in1k	90.920	9.080	97.670	2.330	3.73	188	0.875	bicubic
723	pit_ti_distilled_224	90.900	9.100	97.700	2.300	5.10	224	0.900	bicubic
724	tv_densenet121	90.890	9.110	97.710	2.290	7.98	224	0.875	bicubic
725	legacy_seresnet34	90.890	9.110	97.580	2.420	21.96	224	0.875	bilinear
726	mobilevit_xs	90.830	9.170	97.920	2.080	2.32	256	0.900	bicubic
727	dla34	90.760	9.240	97.660	2.340	15.74	224	0.875	bilinear
728	deit_tiny_distilled_patch16_224	90.700	9.300	97.570	2.430	5.91	224	0.900	bicubic
729	fbnetc_100.rmsp_in1k	90.700	9.300	97.210	2.790	5.57	224	0.875	bilinear
730	swsl_resnet18	90.690	9.310	97.700	2.300	11.69	224	0.875	bilinear
731	crossvit_9_240	90.640	9.360	97.740	2.260	8.55	240	0.875	bicubic
732	convit_tiny	90.630	9.370	97.740	2.260	5.71	224	0.875	bicubic
733	mnasnet_100.rmsp_in1k	90.510	9.490	97.470	2.530	4.38	224	0.875	bicubic
734	regnety_004	90.500	9.500	97.540	2.460	4.34	224	0.875	bicubic
735	regnetx_006	90.350	9.650	97.430	2.570	6.20	224	0.875	bicubic
736	spnasnet_100.rmsp_in1k	90.350	9.650	97.190	2.810	4.42	224	0.875	bilinear
737	crossvit_tiny_240	90.250	9.750	97.590	2.410	7.01	240	0.875	bicubic
738	ssl_resnet18	90.220	9.780	97.550	2.450	11.69	224	0.875	bilinear
739	vgg16_bn	90.090	9.910	97.370	2.630	138.37	224	0.875	bilinear
740	vgg19_bn	90.080	9.920	97.580	2.420	143.68	224	0.875	bilinear
741	semnasnet_075.rmsp_in1k	90.070	9.930	97.430	2.570	2.91	224	0.875	bicubic
742	ghostnet_100	90.020	9.980	97.370	2.630	5.18	224	0.875	bilinear
743	pit_ti_224	89.940	10.060	97.450	2.550	4.85	224	0.900	bicubic
744	tv_resnet34	89.940	10.060	97.340	2.660	21.80	224	0.875	bilinear
745	vit_base_patch32_224.sam	89.750	10.250	97.000	3.000	88.22	224	0.900	bicubic
746	tf_mobilenetv3_large_075.in1k	89.680	10.320	97.210	2.790	3.99	224	0.875	bilinear
747	xcit_nano_12_p16_224_dist	89.680	10.320	97.090	2.910	3.05	224	1.000	bicubic
748	deit_tiny_patch16_224	89.670	10.330	97.450	2.550	5.72	224	0.900	bicubic
749	skresnet18	89.660	10.340	97.230	2.770	11.96	224	0.875	bicubic
750	mobilenetv2_100.ra_in1k	89.600	10.400	97.140	2.860	3.50	224	0.875	bicubic
751	resnet18d	89.280	10.720	97.150	2.850	11.71	224	0.875	bicubic
752	vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	89.170	10.830	97.230	2.770	6.34	224	0.900	bicubic
753	hrnet_w18_small	89.050	10.950	97.110	2.890	13.19	224	0.875	bilinear
754	resnet14t	89.050	10.950	96.620	3.380	10.08	224	0.950	bilinear
755	vgg19	89.040	10.960	96.870	3.130	143.67	224	0.875	bilinear
756	tf_mobilenetv3_large_minimal_100.in1k	88.970	11.030	96.860	3.140	3.92	224	0.875	bilinear
757	regnetx_004	88.900	11.100	97.120	2.880	5.16	224	0.875	bicubic
758	legacy_seresnet18	88.880	11.120	96.980	3.020	11.78	224	0.875	bicubic
759	edgenext_xx_small	88.880	11.120	96.690	3.310	1.33	288	1.000	bicubic
760	pvt_v2_b0	88.790	11.210	96.860	3.140	3.67	224	0.900	bicubic
761	lcnet_100.ra2_in1k	88.790	11.210	96.730	3.270	2.95	224	0.875	bicubic
762	vgg13_bn	88.760	11.240	96.970	3.030	133.05	224	0.875	bilinear
763	xcit_nano_12_p16_224	88.610	11.390	96.790	3.210	3.05	224	1.000	bicubic
764	vgg16	88.550	11.450	96.790	3.210	138.36	224	0.875	bilinear
765	gluon_resnet18_v1b	88.400	11.600	96.680	3.320	11.69	224	0.875	bicubic
766	mobilevitv2_050	88.230	11.770	96.990	3.010	1.37	256	0.888	bicubic
767	tinynet_c.in1k	87.770	12.230	96.370	3.630	2.46	184	0.875	bicubic
768	vgg11_bn	87.500	12.500	96.820	3.180	132.87	224	0.875	bilinear
769	resnet18	87.390	12.610	96.290	3.710	11.69	224	0.875	bilinear
770	regnety_002	87.380	12.620	96.590	3.410	3.16	224	0.875	bicubic
771	mobilevit_xxs	87.170	12.830	96.100	3.900	1.27	256	0.900	bicubic
772	mixer_l16_224	87.150	12.850	93.520	6.480	208.20	224	0.875	bicubic
773	vgg13	87.050	12.950	96.320	3.680	133.05	224	0.875	bilinear
774	vgg11	86.550	13.450	96.280	3.720	132.86	224	0.875	bilinear
775	dla60x_c	86.290	13.710	96.160	3.840	1.32	224	0.875	bilinear
776	resnet10t	86.200	13.800	95.650	4.350	5.44	224	0.950	bilinear
777	regnetx_002	86.190	13.810	95.980	4.020	2.68	224	0.875	bicubic
778	lcnet_075.ra2_in1k	85.990	14.010	95.680	4.320	2.36	224	0.875	bicubic
779	mobilenetv3_small_100.lamb_in1k	85.220	14.780	95.620	4.380	2.54	224	0.875	bicubic
780	tf_mobilenetv3_small_100.in1k	85.190	14.810	95.770	4.230	2.54	224	0.875	bilinear
781	tinynet_d.in1k	84.750	15.250	95.180	4.820	2.34	152	0.875	bicubic
782	mnasnet_small.lamb_in1k	84.440	15.560	95.180	4.820	2.03	224	0.875	bicubic
783	dla46x_c	84.250	15.750	95.270	4.730	1.07	224	0.875	bilinear
784	mobilenetv2_050.lamb_in1k	83.890	16.110	94.720	5.280	1.97	224	0.875	bicubic
785	dla46_c	83.650	16.350	94.920	5.080	1.30	224	0.875	bilinear
786	tf_mobilenetv3_small_075.in1k	83.520	16.480	94.790	5.210	2.04	224	0.875	bilinear
787	mobilenetv3_small_075.lamb_in1k	83.040	16.960	94.100	5.900	2.04	224	0.875	bicubic
788	lcnet_050.ra2_in1k	81.780	18.220	93.710	6.290	1.88	224	0.875	bicubic
789	tf_mobilenetv3_small_minimal_100.in1k	81.380	18.620	93.670	6.330	2.04	224	0.875	bilinear
790	tinynet_e.in1k	78.900	21.100	92.560	7.440	2.04	106	0.875	bicubic
791	mobilenetv3_small_050.lamb_in1k	76.990	23.010	91.300	8.700	1.59	224	0.875	bicubic