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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation	top1_diff	top5_diff	rank_diff
2	tf_efficientnet_l2_ns	84.760	15.240	96.147	3.853	480.31	800	0.960	bicubic	-13.790	-3.673	0
3	tf_efficientnet_l2_ns_475	83.373	16.627	95.453	4.547	480.31	475	0.936	bicubic	-15.127	-4.377	0
4	swin_large_patch4_window12_384	69.627	30.373	89.560	10.440	196.74	384	1.000	bicubic	-28.413	-10.130	0
5	tf_efficientnet_b7_ns	67.040	32.960	88.667	11.333	66.35	600	0.949	bicubic	-30.870	-11.053	0
6	swin_base_patch4_window12_384	64.480	35.520	87.493	12.507	87.90	384	1.000	bicubic	-33.410	-12.217	0
7	cait_m48_448	62.373	37.627	86.453	13.547	356.46	448	1.000	bicubic	-35.107	-13.097	+8
8	tf_efficientnet_b6_ns	62.267	37.733	85.173	14.827	43.04	528	0.942	bicubic	-35.363	-14.407	+1
9	dm_nfnet_f6	62.253	37.747	84.667	15.333	438.36	576	0.956	bicubic	-35.477	-14.913	-2
10	dm_nfnet_f5	61.587	38.413	84.027	15.973	377.21	544	0.954	bicubic	-36.013	-15.523	+1
11	ig_resnext101_32x48d	61.013	38.987	83.347	16.653	828.41	224	0.875	bilinear	-36.607	-16.353	-1
12	swin_large_patch4_window7_224	60.893	39.107	85.840	14.160	196.53	224	0.900	bicubic	-36.757	-13.740	-4
13	resnetv2_152x4_bitm	60.733	39.267	83.600	16.400	936.53	480	1.000	bilinear	-36.757	-16.000	+1
14	dm_nfnet_f4	60.720	39.280	83.427	16.573	316.07	512	0.951	bicubic	-36.850	-16.093	-2
15	tf_efficientnet_b5_ns	60.320	39.680	84.493	15.507	30.39	456	0.934	bicubic	-37.180	-15.137	-2
16	dm_nfnet_f3	58.373	41.627	82.360	17.640	254.92	416	0.940	bicubic	-38.987	-17.220	+1
17	ig_resnext101_32x32d	58.093	41.907	80.653	19.347	468.53	224	0.875	bilinear	-39.267	-19.027	+1
18	cait_m36_384	57.840	42.160	84.813	15.187	271.22	384	1.000	bicubic	-39.560	-14.697	-2
19	resnetv2_152x2_bitm	54.973	45.027	82.813	17.187	236.34	480	1.000	bilinear	-42.177	-16.777	+6
20	vit_base_r50_s16_384	54.627	45.373	81.213	18.787	98.95	384	1.000	bicubic	-42.553	-18.347	+4
21	cait_s36_384	54.413	45.587	81.360	18.640	68.37	384	1.000	bicubic	-42.917	-18.170	-2
22	vit_large_patch16_384	53.867	46.133	80.320	19.680	304.72	384	1.000	bicubic	-43.243	-19.320	+5
23	resnetv2_101x3_bitm	53.813	46.187	81.093	18.907	387.93	480	1.000	bilinear	-43.237	-18.427	+8
24	ig_resnext101_32x16d	53.067	46.933	76.907	23.093	194.03	224	0.875	bilinear	-43.753	-22.683	+14
25	swin_base_patch4_window7_224	51.453	48.547	79.973	20.027	87.77	224	0.900	bicubic	-45.797	-19.557	-5
26	tf_efficientnet_b4_ns	51.213	48.787	79.187	20.813	19.34	380	0.922	bicubic	-45.737	-20.393	+9
27	swsl_resnext101_32x8d	51.187	48.813	78.240	21.760	88.79	224	0.875	bilinear	-46.013	-21.330	-6
28	dm_nfnet_f2	50.773	49.227	78.013	21.987	193.78	352	0.920	bicubic	-46.187	-21.437	+5
29	vit_base_patch16_384	50.613	49.387	78.200	21.800	86.86	384	1.000	bicubic	-46.087	-21.310	+15
30	cait_s24_384	49.733	50.267	78.733	21.267	47.06	384	1.000	bicubic	-47.337	-20.697	0
31	vit_deit_base_distilled_patch16_384	49.333	50.667	79.253	20.747	87.63	384	1.000	bicubic	-47.627	-20.227	+3
32	tf_efficientnet_b8	48.947	51.053	77.240	22.760	87.41	672	0.954	bicubic	-48.253	-22.260	-9
33	resnest269e	48.187	51.813	74.333	25.667	110.93	416	0.928	bicubic	-48.333	-25.017	+22
34	resnetv2_50x3_bitm	47.787	52.213	77.627	22.373	217.32	480	1.000	bilinear	-48.983	-21.803	+5
35	tf_efficientnet_b8_ap	46.893	53.107	76.507	23.493	87.41	672	0.954	bicubic	-50.217	-23.153	-9
36	dm_nfnet_f1	46.600	53.400	74.773	25.227	132.63	320	0.910	bicubic	-50.320	-24.617	0
37	swsl_resnext101_32x16d	46.200	53.800	72.200	27.800	194.03	224	0.875	bilinear	-50.400	-27.320	+13
38	ecaresnet269d	45.893	54.107	75.133	24.867	102.09	352	1.000	bicubic	-51.187	-24.337	-10
39	tf_efficientnet_b7_ap	45.373	54.627	74.213	25.787	66.35	600	0.949	bicubic	-51.827	-25.327	-17
40	ig_resnext101_32x8d	45.320	54.680	70.867	29.133	88.79	224	0.875	bilinear	-51.000	-28.563	+23
41	resnest200e	44.147	55.853	73.467	26.533	70.20	320	0.909	bicubic	-52.463	-25.883	+8
42	cait_xs24_384	43.947	56.053	75.187	24.813	26.67	384	1.000	bicubic	-52.603	-24.233	+10
43	tresnet_xl_448	43.480	56.520	72.453	27.547	78.44	448	0.875	bilinear	-52.490	-26.677	+30
44	resnetrs420	43.147	56.853	70.453	29.547	191.89	416	1.000	bicubic	-53.763	-29.007	-7
45	tf_efficientnet_b7	42.960	57.040	73.133	26.867	66.35	600	0.949	bicubic	-54.050	-26.387	-13
46	swsl_resnext101_32x4d	41.560	58.440	71.760	28.240	44.18	224	0.875	bilinear	-54.860	-27.710	+11
47	tf_efficientnet_b6_ap	40.800	59.200	71.627	28.373	43.04	528	0.942	bicubic	-56.280	-27.993	-18
48	tresnet_l_448	40.200	59.800	69.893	30.107	55.99	448	0.875	bilinear	-55.660	-29.227	+32
49	vit_deit_base_patch16_384	40.173	59.827	70.760	29.240	86.86	384	1.000	bicubic	-55.977	-28.380	+18
50	resnetrs350	39.960	60.040	68.907	31.093	163.96	384	1.000	bicubic	-56.800	-30.463	-9
51	resnetv2_101x1_bitm	39.307	60.693	71.493	28.507	44.54	480	1.000	bilinear	-56.783	-27.697	+20
52	vit_large_patch32_384	38.933	61.067	68.920	31.080	306.63	384	1.000	bicubic	-56.897	-30.230	+30
53	resnet200d	38.147	61.853	68.613	31.387	64.69	320	1.000	bicubic	-58.573	-30.717	-11
54	eca_nfnet_l1	38.107	61.893	71.293	28.707	41.41	320	1.000	bicubic	-58.593	-27.977	-11
55	seresnet152d	37.640	62.360	69.480	30.520	66.84	320	1.000	bicubic	-59.130	-29.970	-15
56	efficientnet_v2s	36.787	63.213	68.320	31.680	23.94	384	1.000	bicubic	-59.753	-31.040	-3
57	regnety_160	36.747	63.253	69.107	30.893	83.59	288	1.000	bicubic	-59.603	-30.223	+4
58	cait_xxs36_384	36.227	63.773	67.800	32.200	17.37	384	1.000	bicubic	-59.623	-31.290	+23
59	pit_b_distilled_224	35.627	64.373	69.120	30.880	74.79	224	0.900	bicubic	-61.053	-30.340	-12
60	tf_efficientnet_b3_ns	35.520	64.480	67.773	32.227	12.23	300	0.904	bicubic	-60.870	-31.577	-2
61	vit_large_patch16_224	35.493	64.507	64.427	35.573	304.33	224	0.900	bicubic	-60.457	-34.813	+13
62	tf_efficientnet_b6	35.213	64.787	67.720	32.280	43.04	528	0.942	bicubic	-61.457	-31.650	-14
63	resnetrs270	35.013	64.987	65.480	34.520	129.86	352	1.000	bicubic	-61.677	-33.870	-18
64	tf_efficientnet_b5_ap	34.787	65.213	67.493	32.507	30.39	456	0.934	bicubic	-61.893	-31.857	-18
65	vit_base_patch16_224_miil	34.507	65.493	65.000	35.000	86.54	224	0.875	bilinear	-61.953	-34.300	-9
66	resnet152d	34.320	65.680	65.907	34.093	60.21	320	1.000	bicubic	-62.040	-33.483	-6
67	tresnet_m_448	34.107	65.893	64.493	35.507	31.39	448	0.875	bilinear	-60.883	-34.487	+49
68	vit_base_patch32_384	33.613	66.387	65.240	34.760	88.30	384	1.000	bicubic	-62.197	-33.910	+15
69	pit_b_224	33.173	66.827	62.320	37.680	73.76	224	0.900	bicubic	-62.467	-36.340	+21
70	swsl_resnext50_32x4d	33.013	66.987	65.067	34.933	25.03	224	0.875	bilinear	-62.857	-34.183	+8
71	ssl_resnext101_32x16d	32.600	67.400	64.000	36.000	194.03	224	0.875	bilinear	-63.200	-35.180	+13
72	swin_small_patch4_window7_224	32.600	67.400	65.440	34.560	49.61	224	0.900	bicubic	-63.310	-33.580	+4
73	vit_base_patch16_224	32.053	67.947	61.573	38.427	86.57	224	0.900	bicubic	-63.277	-37.427	+26
74	tf_efficientnet_b5	31.840	68.160	65.293	34.707	30.39	456	0.934	bicubic	-64.510	-34.017	-12
75	resnest101e	31.413	68.587	64.360	35.640	48.28	256	0.875	bilinear	-64.447	-34.850	+4
76	dm_nfnet_f0	31.280	68.720	63.347	36.653	71.49	256	0.900	bicubic	-64.860	-35.893	-8
77	cait_s24_224	31.200	68.800	64.560	35.440	46.92	224	1.000	bicubic	-65.180	-34.590	-18
78	efficientnet_b4	30.867	69.133	64.600	35.400	19.34	384	1.000	bicubic	-65.283	-34.600	-12
79	resnetrs200	30.773	69.227	63.320	36.680	93.21	320	1.000	bicubic	-65.757	-36.030	-25
80	cait_xxs24_384	30.027	69.973	63.933	36.067	12.03	384	1.000	bicubic	-65.233	-35.027	+22
81	swsl_resnet50	29.867	70.133	63.853	36.147	25.56	224	0.875	bilinear	-65.543	-35.437	+17
82	vit_deit_base_distilled_patch16_224	29.600	70.400	64.453	35.547	87.34	224	0.900	bicubic	-66.490	-34.807	-13
83	ssl_resnext101_32x8d	29.040	70.960	60.973	39.027	88.79	224	0.875	bilinear	-66.430	-38.137	+10
84	resnet101d	28.987	71.013	62.053	37.947	44.57	320	1.000	bicubic	-67.303	-37.177	-20
85	resnetrs152	28.920	71.080	60.520	39.480	86.62	320	1.000	bicubic	-67.660	-38.720	-34
86	vit_deit_base_patch16_224	27.440	72.560	58.893	41.107	86.57	224	0.900	bicubic	-68.000	-39.947	+10
87	resnetv2_50x1_bitm	27.347	72.653	63.547	36.453	25.55	480	1.000	bilinear	-67.703	-35.613	+24
88	nfnet_l0	26.493	73.507	61.987	38.013	35.07	288	1.000	bicubic	-69.597	-37.313	-18
89	tf_efficientnet_b4	26.293	73.707	60.107	39.893	19.34	380	0.922	bicubic	-69.607	-39.063	-12
90	tf_efficientnet_b4_ap	26.240	73.760	60.227	39.773	19.34	380	0.922	bicubic	-69.920	-39.053	-25
91	regnety_032	26.213	73.787	60.987	39.013	19.44	288	1.000	bicubic	-69.757	-38.203	-19
92	ecaresnet50t	26.133	73.867	60.027	39.973	25.57	320	0.950	bicubic	-69.377	-39.093	0
93	ecaresnet101d	26.027	73.973	58.987	41.013	44.57	224	0.875	bicubic	-69.503	-40.143	-2
94	eca_nfnet_l0	25.013	74.987	60.360	39.640	24.14	288	1.000	bicubic	-70.917	-38.850	-19
95	tnt_s_patch16_224	24.733	75.267	58.187	41.813	23.76	224	0.900	bicubic	-70.307	-40.643	+19
96	ssl_resnext101_32x4d	24.173	75.827	57.413	42.587	44.18	224	0.875	bilinear	-71.267	-41.717	-2
97	tf_efficientnet_b2_ns	24.013	75.987	57.293	42.707	9.11	260	0.890	bicubic	-71.757	-41.827	-12
98	nasnetalarge	23.493	76.507	55.027	44.973	88.75	331	0.911	bicubic	-72.187	-43.903	-9
99	pnasnet5large	23.333	76.667	53.640	46.360	86.06	331	0.911	bicubic	-72.377	-45.280	-11
100	efficientnet_b3	23.213	76.787	55.960	44.040	12.23	320	1.000	bicubic	-72.497	-43.080	-13
101	pit_s_distilled_224	22.360	77.640	57.120	42.880	24.04	224	0.900	bicubic	-72.880	-41.930	+2
102	tresnet_m	21.680	78.320	53.840	46.160	31.39	224	0.875	bilinear	-74.040	-45.190	-16
103	swin_tiny_patch4_window7_224	21.173	78.827	55.973	44.027	28.29	224	0.900	bicubic	-73.967	-42.877	+2
104	pit_s_224	21.080	78.920	53.573	46.427	23.46	224	0.900	bicubic	-73.510	-45.137	+33
105	resnetrs101	20.893	79.107	52.813	47.187	63.62	288	0.940	bicubic	-74.537	-46.217	-8
106	vit_deit_small_distilled_patch16_224	20.707	79.293	55.133	44.867	22.44	224	0.900	bicubic	-74.003	-43.897	+23
107	resnest50d_4s2x40d	20.387	79.613	52.800	47.200	30.42	224	0.875	bicubic	-74.573	-46.270	+10
108	ssl_resnext50_32x4d	20.000	80.000	53.613	46.387	25.03	224	0.875	bilinear	-74.870	-45.267	+15
109	tresnet_xl	19.640	80.360	53.133	46.867	78.44	224	0.875	bilinear	-75.800	-45.917	-14
110	gluon_senet154	19.307	80.693	47.533	52.467	115.09	224	0.875	bicubic	-75.613	-51.227	+10
111	rexnet_200	19.227	80.773	52.720	47.280	16.37	224	0.875	bicubic	-75.713	-46.290	+7
112	repvgg_b3	19.107	80.893	50.253	49.747	123.09	224	0.875	bilinear	-75.463	-48.527	+26
113	legacy_senet154	19.053	80.947	47.947	52.053	115.09	224	0.875	bilinear	-76.017	-50.883	-3
114	vit_deit_small_patch16_224	18.907	81.093	51.413	48.587	22.05	224	0.900	bicubic	-75.493	-47.327	+36
115	gluon_seresnext101_64x4d	18.907	81.093	49.187	50.813	88.23	224	0.875	bicubic	-76.023	-49.643	+5
116	tf_efficientnet_b1_ns	18.693	81.307	51.667	48.333	7.79	240	0.882	bicubic	-76.477	-47.443	-12
117	seresnext50_32x4d	18.360	81.640	50.973	49.027	27.56	224	0.875	bicubic	-76.680	-47.907	-4
118	cait_xxs36_224	18.253	81.747	49.427	50.573	17.30	224	1.000	bicubic	-76.007	-49.293	+45
119	ecaresnet50d	18.227	81.773	51.880	48.120	25.58	224	0.875	bicubic	-76.403	-47.010	+13
120	tf_efficientnet_lite4	18.133	81.867	50.707	49.293	13.01	380	0.920	bilinear	-76.757	-48.313	+2
121	resnest50d_1s4x24d	17.693	82.307	49.800	50.200	25.68	224	0.875	bicubic	-77.057	-49.180	+5
122	gluon_seresnext101_32x4d	17.373	82.627	46.373	53.627	48.96	224	0.875	bicubic	-77.547	-52.437	-1
123	resnest50d	17.373	82.627	50.707	49.293	27.48	224	0.875	bilinear	-77.457	-48.173	+1
124	efficientnet_el	17.347	82.653	49.987	50.013	10.59	300	0.904	bicubic	-77.773	-49.003	-18
125	inception_v4	17.267	82.733	45.920	54.080	42.68	299	0.875	bicubic	-77.113	-52.660	+28
126	tf_efficientnet_b3_ap	17.187	82.813	49.680	50.320	12.23	300	0.904	bicubic	-78.133	-49.220	-26
127	tf_efficientnet_b3	17.000	83.000	49.267	50.733	12.23	300	0.904	bicubic	-78.010	-49.643	-12
128	xception71	17.000	83.000	45.520	54.480	42.34	299	0.903	bicubic	-77.280	-53.120	+32
129	gluon_resnext101_64x4d	16.853	83.147	44.213	55.787	83.46	224	0.875	bicubic	-77.817	-54.437	+1
130	tresnet_l	16.600	83.400	49.920	50.080	55.99	224	0.875	bilinear	-78.690	-49.090	-29
131	gluon_resnet152_v1d	16.573	83.427	44.280	55.720	60.21	224	0.875	bicubic	-78.167	-54.460	-4
132	gluon_resnet152_v1s	16.573	83.427	44.533	55.467	60.32	224	0.875	bicubic	-78.467	-54.397	-20
133	inception_resnet_v2	16.573	83.427	44.960	55.040	55.84	299	0.897	bicubic	-77.967	-53.890	+8
134	gluon_xception65	16.440	83.560	46.027	53.973	39.92	299	0.903	bicubic	-77.820	-52.433	+30
135	gernet_l	16.373	83.627	47.213	52.787	31.08	256	0.875	bilinear	-78.717	-51.687	-28
136	wide_resnet50_2	16.280	83.720	48.347	51.653	68.88	224	0.875	bicubic	-78.800	-50.623	-27
137	ens_adv_inception_resnet_v2	16.240	83.760	43.640	56.360	55.84	299	0.897	bicubic	-77.920	-55.000	+37
138	repvgg_b3g4	16.213	83.787	47.653	52.347	83.83	224	0.875	bilinear	-78.307	-51.317	+5
139	xception65	16.027	83.973	43.773	56.227	39.92	299	0.903	bicubic	-77.733	-54.597	+62
140	ssl_resnet50	15.960	84.040	49.467	50.533	25.56	224	0.875	bilinear	-78.490	-49.453	+9
141	regnety_320	15.627	84.373	44.827	55.173	145.05	224	0.875	bicubic	-78.913	-53.963	-1
142	ecaresnet101d_pruned	15.600	84.400	48.027	51.973	24.88	224	0.875	bicubic	-79.480	-50.953	-34
143	ecaresnet26t	15.467	84.533	47.920	52.080	16.01	320	0.950	bicubic	-78.843	-50.800	+15
144	skresnext50_32x4d	15.373	84.627	44.493	55.507	27.48	224	0.875	bicubic	-78.887	-54.077	+18
145	cait_xxs24_224	15.160	84.840	44.960	55.040	11.96	224	1.000	bicubic	-78.440	-53.480	+67
146	ecaresnetlight	15.160	84.840	45.827	54.173	30.16	224	0.875	bicubic	-79.610	-52.973	-21
147	rexnet_150	14.720	85.280	46.907	53.093	9.73	224	0.875	bicubic	-79.760	-51.883	0
148	coat_lite_mini	14.507	85.493	44.507	55.493	11.01	224	0.900	bicubic	-79.553	-54.053	+35
149	efficientnet_el_pruned	14.480	85.520	46.120	53.880	10.59	300	0.904	bicubic	-79.920	-52.570	+3
150	efficientnet_b2	14.440	85.560	46.080	53.920	9.11	288	1.000	bicubic	-80.170	-52.630	-15
151	legacy_seresnext101_32x4d	14.147	85.853	42.973	57.027	48.96	224	0.875	bilinear	-80.223	-55.677	+3
152	seresnet50	14.147	85.853	45.467	54.533	28.09	224	0.875	bicubic	-80.403	-53.283	-13
153	gernet_m	14.013	85.987	46.067	53.933	21.14	224	0.875	bilinear	-80.607	-52.793	-19
154	gluon_resnext101_32x4d	13.867	86.133	41.653	58.347	44.18	224	0.875	bicubic	-80.663	-56.977	-12
155	gluon_seresnext50_32x4d	13.600	86.400	43.760	56.240	27.56	224	0.875	bicubic	-80.740	-54.850	+1
156	repvgg_b2g4	13.440	86.560	43.787	56.213	61.76	224	0.875	bilinear	-80.420	-54.803	+38
157	ese_vovnet39b	13.320	86.680	43.813	56.187	24.57	224	0.875	bicubic	-80.770	-54.847	+24
158	regnetx_320	13.307	86.693	40.720	59.280	107.81	224	0.875	bicubic	-81.153	-58.020	-10
159	pit_xs_distilled_224	13.240	86.760	44.573	55.427	11.00	224	0.900	bicubic	-80.570	-54.097	+39
160	efficientnet_b3_pruned	13.173	86.827	45.213	54.787	9.86	300	0.904	bicubic	-81.457	-53.547	-27
161	gluon_resnet101_v1d	13.160	86.840	41.493	58.507	44.57	224	0.875	bicubic	-81.060	-57.057	+7
162	mixnet_xl	13.120	86.880	43.253	56.747	11.90	224	0.875	bicubic	-81.070	-55.087	+8
163	nf_regnet_b1	13.027	86.973	44.413	55.587	10.22	288	0.900	bicubic	-81.103	-54.217	+15
164	pit_xs_224	12.813	87.187	42.840	57.160	10.62	224	0.900	bicubic	-80.297	-55.470	+79
165	gluon_inception_v3	12.640	87.360	40.493	59.507	23.83	299	0.875	bicubic	-80.820	-58.077	+56
166	coat_lite_tiny	12.520	87.480	41.160	58.840	5.72	224	0.900	bicubic	-80.720	-57.100	+70
167	regnety_120	12.427	87.573	42.200	57.800	51.82	224	0.875	bicubic	-82.053	-56.610	-21
168	efficientnet_em	12.360	87.640	43.880	56.120	6.90	240	0.882	bicubic	-81.480	-54.930	+27
169	nf_resnet50	12.320	87.680	46.760	53.240	25.56	288	0.940	bicubic	-82.270	-52.050	-33
170	vit_small_patch16_224	12.147	87.853	40.320	59.680	48.75	224	0.900	bicubic	-80.613	-57.610	+89
171	hrnet_w64	12.027	87.973	40.787	59.213	128.06	224	0.875	bilinear	-81.983	-57.823	+14
172	cspdarknet53	12.013	87.987	43.253	56.747	27.64	256	0.887	bilinear	-82.647	-55.547	-41
173	gluon_resnet101_v1s	11.880	88.120	40.973	59.027	44.67	224	0.875	bicubic	-82.840	-57.847	-45
174	resnet50d	11.693	88.307	42.453	57.547	25.58	224	0.875	bicubic	-82.567	-56.267	-13
175	dpn92	11.627	88.373	40.267	59.733	37.67	224	0.875	bicubic	-82.603	-58.463	-9
176	xception41	11.600	88.400	39.133	60.867	26.97	299	0.903	bicubic	-81.830	-59.297	+48
177	dla102x2	11.573	88.427	41.293	58.707	41.28	224	0.875	bilinear	-82.377	-57.197	+10
178	regnety_080	11.413	88.587	40.613	59.387	39.18	224	0.875	bicubic	-82.757	-58.067	-6
179	efficientnet_b2_pruned	11.360	88.640	42.027	57.973	8.31	260	0.890	bicubic	-82.780	-56.503	-3
180	tf_efficientnet_el	11.333	88.667	42.040	57.960	10.59	300	0.904	bicubic	-83.077	-56.670	-30
181	gluon_resnet152_v1c	11.093	88.907	37.120	62.880	60.21	224	0.875	bicubic	-83.067	-61.480	-8
182	hrnet_w48	11.080	88.920	40.320	59.680	77.47	224	0.875	bilinear	-82.840	-58.290	+5
183	dpn107	11.080	88.920	38.693	61.307	86.92	224	0.875	bicubic	-83.230	-59.787	-25
184	ecaresnet50d_pruned	11.027	88.973	41.947	58.053	19.94	224	0.875	bicubic	-83.193	-56.783	-17
185	adv_inception_v3	11.013	88.987	36.720	63.280	23.83	299	0.875	bicubic	-81.867	-61.420	+68
186	tf_efficientnet_b0_ns	10.933	89.067	40.067	59.933	5.29	224	0.875	bicubic	-82.697	-58.573	+24
187	tf_inception_v3	10.840	89.160	36.853	63.147	23.83	299	0.875	bicubic	-82.480	-61.177	+43
188	resnext50_32x4d	10.800	89.200	40.307	59.693	25.03	224	0.875	bicubic	-83.300	-58.043	-8
189	dpn131	10.787	89.213	37.200	62.800	79.25	224	0.875	bicubic	-83.223	-61.520	-5
190	tf_efficientnet_b2_ap	10.533	89.467	40.107	59.893	9.11	260	0.890	bicubic	-83.957	-58.513	-46
191	resnext50d_32x4d	10.413	89.587	39.733	60.267	25.05	224	0.875	bicubic	-83.767	-58.837	-20
192	rexnet_130	10.400	89.600	41.547	58.453	7.56	224	0.875	bicubic	-83.500	-56.853	-3
193	hrnet_w44	10.320	89.680	39.507	60.493	67.06	224	0.875	bilinear	-83.230	-59.193	+21
194	resnext101_32x8d	10.187	89.813	37.827	62.173	88.79	224	0.875	bilinear	-83.643	-60.753	+2
195	regnetx_160	10.147	89.853	38.000	62.000	54.28	224	0.875	bicubic	-83.973	-60.750	-16
196	dpn98	10.133	89.867	36.587	63.413	61.57	224	0.875	bicubic	-83.997	-61.983	-19
197	cspresnext50	10.120	89.880	40.373	59.627	20.57	224	0.875	bilinear	-84.360	-58.307	-52
198	legacy_seresnext50_32x4d	10.107	89.893	39.200	60.800	27.56	224	0.875	bilinear	-83.623	-59.380	+7
199	resnetrs50	10.093	89.907	37.507	62.493	35.69	224	0.910	bicubic	-84.217	-61.133	-40
200	inception_v3	10.027	89.973	35.227	64.773	23.83	299	0.875	bicubic	-82.693	-62.743	+63
201	efficientnet_b1	10.013	89.987	37.547	62.453	7.79	256	1.000	bicubic	-83.237	-60.743	+34
202	xception	9.987	90.013	38.027	61.973	22.86	299	0.897	bicubic	-83.473	-60.503	+20
203	regnety_064	9.947	90.053	39.067	60.933	30.58	224	0.875	bicubic	-84.203	-59.663	-28
204	dpn68b	9.787	90.213	38.053	61.947	12.61	224	0.875	bicubic	-83.903	-60.307	+4
205	gluon_resnet152_v1b	9.747	90.253	36.067	63.933	60.19	224	0.875	bicubic	-84.333	-62.383	-23
206	tf_efficientnet_lite3	9.667	90.333	39.000	61.000	8.20	300	0.904	bilinear	-84.533	-59.640	-37
207	tf_efficientnet_b2	9.653	90.347	38.880	61.120	9.11	260	0.890	bicubic	-84.707	-59.730	-52
208	tf_efficientnet_cc_b1_8e	9.573	90.427	36.773	63.227	39.72	240	0.882	bicubic	-84.327	-61.487	-18
209	res2net101_26w_4s	9.520	90.480	35.027	64.973	45.21	224	0.875	bilinear	-84.230	-63.283	-6
210	legacy_seresnet152	9.347	90.653	37.413	62.587	66.82	224	0.875	bilinear	-84.053	-60.937	+16
211	cspresnet50	9.253	90.747	39.640	60.360	21.62	256	0.887	bilinear	-84.487	-59.000	-7
212	hrnet_w40	9.227	90.773	36.893	63.107	57.56	224	0.875	bilinear	-84.263	-61.687	+8
213	regnetx_120	9.187	90.813	37.200	62.800	46.11	224	0.875	bicubic	-85.053	-61.450	-48
214	seresnext26d_32x4d	9.147	90.853	36.840	63.160	16.81	224	0.875	bicubic	-83.553	-61.310	+50
215	resnest26d	9.080	90.920	37.853	62.147	17.07	224	0.875	bilinear	-84.250	-60.657	+13
216	regnety_040	9.000	91.000	37.053	62.947	20.65	224	0.875	bicubic	-84.860	-61.597	-23
217	gluon_resnext50_32x4d	8.947	91.053	36.333	63.667	25.03	224	0.875	bicubic	-84.863	-62.057	-18
218	rexnet_100	8.893	91.107	36.373	63.627	4.80	224	0.875	bicubic	-84.137	-61.817	+29
219	seresnext26t_32x4d	8.893	91.107	36.907	63.093	16.81	224	0.875	bicubic	-83.927	-61.463	+37
220	mixnet_l	8.853	91.147	36.187	63.813	7.33	224	0.875	bicubic	-84.597	-62.033	+3
221	mobilenetv3_large_100_miil	8.840	91.160	32.973	67.027	5.48	224	0.875	bilinear	-83.420	-64.667	+63
222	dla169	8.640	91.360	36.040	63.960	53.39	224	0.875	bilinear	-84.700	-62.560	+5
223	hrnet_w30	8.613	91.387	37.040	62.960	37.71	224	0.875	bilinear	-84.587	-61.370	+14
224	mixer_b16_224	8.600	91.400	29.413	70.587	59.88	224	0.875	bicubic	-83.270	-67.837	+74
225	legacy_seresnet101	8.533	91.467	36.013	63.987	49.33	224	0.875	bilinear	-84.747	-62.497	+9
226	tf_efficientnet_b1_ap	8.453	91.547	35.253	64.747	7.79	240	0.882	bicubic	-85.237	-63.257	-19
227	repvgg_b2	8.427	91.573	36.467	63.533	89.02	224	0.875	bilinear	-85.073	-61.893	-8
228	resnetblur50	8.240	91.760	37.400	62.600	25.56	224	0.875	bicubic	-85.720	-61.190	-42
229	dla102x	8.200	91.800	37.013	62.987	26.31	224	0.875	bilinear	-85.320	-61.497	-12
230	hrnet_w32	8.040	91.960	37.507	62.493	41.23	224	0.875	bilinear	-85.490	-60.943	-14
231	res2net50_26w_8s	8.000	92.000	33.853	66.147	48.40	224	0.875	bilinear	-85.540	-64.407	-16
232	gluon_resnet101_v1c	7.987	92.013	33.360	66.640	44.57	224	0.875	bicubic	-85.683	-65.060	-23
233	gluon_resnet50_v1d	7.920	92.080	35.000	65.000	25.58	224	0.875	bicubic	-85.850	-63.390	-33
234	dla60_res2next	7.787	92.213	34.987	65.013	17.03	224	0.875	bilinear	-85.393	-63.423	+5
235	densenetblur121d	7.720	92.280	34.733	65.267	8.00	224	0.875	bicubic	-84.190	-63.337	+61
236	vit_deit_tiny_distilled_patch16_224	7.707	92.293	33.560	66.440	5.91	224	0.900	bicubic	-82.993	-64.010	+91
237	dla60_res2net	7.560	92.440	34.627	65.373	20.85	224	0.875	bilinear	-85.620	-63.793	+1
238	efficientnet_b1_pruned	7.440	92.560	34.533	65.467	6.33	240	0.882	bicubic	-85.330	-63.507	+20
239	wide_resnet101_2	7.360	92.640	34.147	65.853	126.89	224	0.875	bilinear	-86.360	-64.393	-33
240	regnetx_064	7.333	92.667	34.373	65.627	26.21	224	0.875	bicubic	-86.557	-64.257	-49
241	vit_deit_tiny_patch16_224	7.307	92.693	30.707	69.293	5.72	224	0.900	bicubic	-82.363	-66.743	+99
242	hardcorenas_e	7.240	92.760	33.293	66.707	8.07	224	0.875	bilinear	-85.330	-64.817	+29
243	gluon_resnet101_v1b	7.227	92.773	32.773	67.227	44.55	224	0.875	bicubic	-86.523	-65.607	-41
244	efficientnet_b0	7.213	92.787	34.013	65.987	5.29	224	0.875	bicubic	-85.477	-64.057	+21
245	gluon_resnet50_v1s	7.213	92.787	33.507	66.493	25.68	224	0.875	bicubic	-86.407	-64.953	-34
246	tf_mixnet_l	7.147	92.853	31.613	68.387	7.33	224	0.875	bicubic	-86.163	-66.417	-15
247	tf_efficientnet_b1	7.133	92.867	33.040	66.960	7.79	240	0.882	bicubic	-86.367	-65.690	-29
248	tf_efficientnet_cc_b0_8e	7.120	92.880	31.787	68.213	24.01	224	0.875	bicubic	-85.710	-66.393	+7
249	hardcorenas_f	6.827	93.173	34.093	65.907	8.20	224	0.875	bilinear	-86.123	-64.067	+2
250	selecsls60b	6.733	93.267	33.267	66.733	32.77	224	0.875	bicubic	-86.567	-65.013	-19
251	ese_vovnet19b_dw	6.733	93.267	33.413	66.587	6.54	224	0.875	bicubic	-85.557	-64.677	+32
252	efficientnet_es	6.707	93.293	33.840	66.160	5.44	224	0.875	bicubic	-86.433	-64.580	-12
253	res2net50_26w_6s	6.693	93.307	31.653	68.347	37.05	224	0.875	bilinear	-86.717	-66.627	-28
254	legacy_seresnext26_32x4d	6.627	93.373	33.253	66.747	16.79	224	0.875	bicubic	-86.013	-64.877	+14
255	mixnet_m	6.627	93.373	32.053	67.947	5.01	224	0.875	bicubic	-85.803	-65.817	+21
256	pit_ti_distilled_224	6.627	93.373	30.760	69.240	5.10	224	0.900	bicubic	-84.273	-66.940	+66
257	skresnet34	6.480	93.520	31.547	68.453	22.28	224	0.875	bicubic	-85.910	-66.603	+22
258	repvgg_b1	6.467	93.533	33.827	66.173	57.42	224	0.875	bilinear	-86.863	-64.803	-29
259	hardcorenas_d	6.440	93.560	32.213	67.787	7.50	224	0.875	bilinear	-85.960	-65.857	+18
260	dla60x	6.427	93.573	34.080	65.920	17.35	224	0.875	bilinear	-86.693	-64.430	-19
261	resnet34d	6.400	93.600	31.493	68.507	21.82	224	0.875	bicubic	-86.280	-66.817	+5
262	regnetx_080	6.307	93.693	32.320	67.680	39.57	224	0.875	bicubic	-87.563	-66.200	-70
263	swsl_resnet18	6.240	93.760	31.600	68.400	11.69	224	0.875	bilinear	-84.450	-66.100	+65
264	legacy_seresnet50	6.187	93.813	32.653	67.347	28.09	224	0.875	bilinear	-86.773	-65.537	-14
265	pit_ti_224	6.120	93.880	30.227	69.773	4.85	224	0.900	bicubic	-83.820	-67.223	+72
266	tv_resnet152	6.040	93.960	32.053	67.947	60.19	224	0.875	bilinear	-87.260	-66.337	-33
267	regnetx_040	5.973	94.027	31.547	68.453	22.12	224	0.875	bicubic	-87.587	-66.993	-54
268	tf_efficientnet_cc_b0_4e	5.973	94.027	29.600	70.400	13.31	224	0.875	bicubic	-86.617	-68.480	+2
269	resnet50	5.933	94.067	29.093	70.907	25.56	224	0.875	bicubic	-87.877	-69.317	-72
270	dla102	5.880	94.120	32.707	67.293	33.27	224	0.875	bilinear	-87.180	-65.833	-26
271	mixer_l16_224	5.867	94.133	18.533	81.467	208.20	224	0.875	bicubic	-81.283	-74.987	+84
272	regnety_016	5.680	94.320	30.413	69.587	11.20	224	0.875	bicubic	-87.350	-67.947	-26
273	selecsls60	5.653	94.347	32.507	67.493	30.67	224	0.875	bicubic	-87.377	-65.793	-25
274	hardcorenas_c	5.640	94.360	30.400	69.600	5.52	224	0.875	bilinear	-86.380	-67.440	+17
275	res2next50	5.627	94.373	30.867	69.133	24.67	224	0.875	bilinear	-87.213	-67.313	-21
276	hrnet_w18	5.493	94.507	30.960	69.040	21.30	224	0.875	bilinear	-86.827	-67.280	+5
277	resnest14d	5.480	94.520	28.547	71.453	10.61	224	0.875	bilinear	-86.240	-69.323	+26
278	tf_efficientnet_lite2	5.360	94.640	30.907	69.093	6.09	260	0.890	bicubic	-87.290	-67.323	-11
279	tf_efficientnet_em	5.347	94.653	31.107	68.893	6.90	240	0.882	bicubic	-87.583	-67.083	-27
280	gernet_s	5.307	94.693	30.133	69.867	8.17	224	0.875	bilinear	-86.833	-68.057	+9
281	tf_efficientnet_b0_ap	5.307	94.693	28.813	71.187	5.29	224	0.875	bicubic	-86.893	-69.207	+6
282	densenet121	5.293	94.707	29.907	70.093	7.98	224	0.875	bicubic	-86.277	-68.123	+22
283	repvgg_b1g4	5.293	94.707	30.813	69.187	39.97	224	0.875	bilinear	-87.687	-67.617	-34
284	res2net50_26w_4s	5.160	94.840	29.360	70.640	25.70	224	0.875	bilinear	-87.340	-68.930	-10
285	tf_mixnet_m	5.080	94.920	28.147	71.853	5.01	224	0.875	bicubic	-87.250	-69.743	-5
286	tf_efficientnet_b0	5.067	94.933	28.800	71.200	5.29	224	0.875	bicubic	-87.183	-69.200	-2
287	mobilenetv3_large_100	5.067	94.933	28.187	71.813	5.48	224	0.875	bicubic	-86.253	-69.523	+23
288	res2net50_14w_8s	5.040	94.960	28.773	71.227	25.06	224	0.875	bilinear	-87.700	-69.407	-27
289	hardcorenas_b	4.947	95.053	28.120	71.880	5.18	224	0.875	bilinear	-86.823	-69.660	+12
290	mixnet_s	4.907	95.093	28.573	71.427	4.13	224	0.875	bicubic	-86.923	-69.117	+9
291	mobilenetv3_rw	4.907	95.093	29.853	70.147	5.48	224	0.875	bicubic	-86.303	-67.807	+21
292	gluon_resnet50_v1c	4.893	95.107	28.147	71.853	25.58	224	0.875	bicubic	-88.137	-70.243	-47
293	hardcorenas_a	4.867	95.133	28.093	71.907	5.26	224	0.875	bilinear	-86.483	-69.767	+15
294	regnetx_032	4.853	95.147	30.280	69.720	15.30	224	0.875	bicubic	-88.267	-68.110	-52
295	tv_resnext50_32x4d	4.840	95.160	30.307	69.693	25.03	224	0.875	bilinear	-87.900	-67.963	-33
296	tv_resnet101	4.707	95.293	29.333	70.667	44.55	224	0.875	bilinear	-88.103	-68.917	-39
297	densenet161	4.693	95.307	29.547	70.453	28.68	224	0.875	bicubic	-87.807	-68.513	-22
298	selecsls42b	4.667	95.333	28.587	71.413	32.46	224	0.875	bicubic	-87.613	-69.563	-15
299	tf_efficientnet_lite1	4.613	95.387	28.387	71.613	5.42	240	0.882	bicubic	-88.007	-69.693	-30
300	mobilenetv2_120d	4.533	95.467	29.280	70.720	5.83	224	0.875	bicubic	-87.867	-68.770	-22
301	efficientnet_es_pruned	4.187	95.813	26.520	73.480	5.44	224	0.875	bicubic	-86.993	-71.230	+13
302	fbnetc_100	4.133	95.867	25.933	74.067	5.57	224	0.875	bilinear	-86.567	-71.277	+24
303	densenet201	4.120	95.880	27.547	72.453	20.01	224	0.875	bicubic	-88.630	-70.683	-43
304	gluon_resnet50_v1b	4.120	95.880	26.933	73.067	25.56	224	0.875	bicubic	-88.420	-71.237	-31
305	resnet26d	4.040	95.960	28.520	71.480	16.01	224	0.875	bicubic	-88.030	-69.440	-15
306	semnasnet_100	3.960	96.040	26.947	73.053	3.89	224	0.875	bicubic	-87.320	-70.613	+4
307	repvgg_a2	3.947	96.053	27.267	72.733	28.21	224	0.875	bilinear	-87.993	-70.883	-13
308	tf_mixnet_s	3.880	96.120	25.253	74.747	4.13	224	0.875	bicubic	-87.630	-72.367	-3
309	dpn68	3.867	96.133	26.080	73.920	12.61	224	0.875	bicubic	-88.143	-71.970	-17
310	tf_efficientnet_es	3.827	96.173	26.107	73.893	5.44	224	0.875	bicubic	-88.153	-71.753	-17
311	regnety_008	3.813	96.187	27.133	72.867	6.26	224	0.875	bicubic	-87.937	-71.047	-9
312	dla60	3.773	96.227	27.933	72.067	22.04	224	0.875	bilinear	-88.457	-70.177	-26
313	ssl_resnet18	3.747	96.253	25.427	74.573	11.69	224	0.875	bilinear	-86.473	-72.123	+20
314	mobilenetv2_140	3.720	96.280	26.747	73.253	6.11	224	0.875	bicubic	-88.110	-71.113	-14
315	densenet169	3.707	96.293	25.613	74.387	14.15	224	0.875	bicubic	-88.223	-72.487	-20
316	regnetx_016	3.627	96.373	26.293	73.707	9.19	224	0.875	bicubic	-88.543	-71.917	-28
317	res2net50_48w_2s	3.587	96.413	26.613	73.387	25.29	224	0.875	bilinear	-88.963	-71.467	-45
318	spnasnet_100	3.547	96.453	24.293	75.707	4.42	224	0.875	bilinear	-86.803	-73.137	+13
319	tf_mobilenetv3_large_100	3.547	96.453	25.053	74.947	5.48	224	0.875	bilinear	-87.693	-72.607	-8
320	regnety_006	3.467	96.533	24.893	75.107	6.06	224	0.875	bicubic	-87.903	-72.817	-13
321	legacy_seresnet34	3.333	96.667	23.800	76.200	21.96	224	0.875	bilinear	-87.557	-73.780	+2
322	efficientnet_lite0	3.253	96.747	25.867	74.133	4.65	224	0.875	bicubic	-87.887	-71.763	-7
323	dla34	3.227	96.773	23.573	76.427	15.74	224	0.875	bilinear	-87.533	-74.087	+2
324	ghostnet_100	3.227	96.773	24.853	75.147	5.18	224	0.875	bilinear	-86.793	-72.517	+12
325	regnety_004	3.200	96.800	22.653	77.347	4.34	224	0.875	bicubic	-87.300	-74.887	+5
326	mobilenetv2_110d	3.173	96.827	24.587	75.413	4.52	224	0.875	bicubic	-87.777	-72.963	-5
327	mnasnet_100	3.120	96.880	24.227	75.773	4.38	224	0.875	bicubic	-87.390	-73.243	+2
328	tf_efficientnet_lite0	3.080	96.920	22.907	77.093	4.65	224	0.875	bicubic	-87.960	-74.683	-9
329	skresnet18	3.013	96.987	22.800	77.200	11.96	224	0.875	bicubic	-86.647	-74.430	+12
330	vgg19_bn	2.947	97.053	23.480	76.520	143.68	224	0.875	bilinear	-87.133	-74.100	+5
331	resnet34	2.920	97.080	23.680	76.320	21.80	224	0.875	bilinear	-88.210	-73.940	-15
332	tf_mobilenetv3_large_075	2.867	97.133	21.573	78.427	3.99	224	0.875	bilinear	-86.813	-75.637	+7
333	hrnet_w18_small_v2	2.720	97.280	23.693	76.307	15.60	224	0.875	bilinear	-88.470	-74.207	-20
334	gluon_resnet34_v1b	2.667	97.333	21.680	78.320	21.80	224	0.875	bicubic	-88.293	-75.950	-14
335	regnetx_008	2.653	97.347	22.453	77.547	7.26	224	0.875	bicubic	-88.397	-75.257	-17
336	vgg16_bn	2.653	97.347	23.773	76.227	138.37	224	0.875	bilinear	-87.437	-73.597	-2
337	vgg16	2.640	97.360	20.427	79.573	138.36	224	0.875	bilinear	-85.910	-76.363	+13
338	resnet18d	2.600	97.400	21.613	78.387	11.71	224	0.875	bicubic	-86.680	-75.537	+5
339	tv_densenet121	2.560	97.440	22.667	77.333	7.98	224	0.875	bicubic	-88.330	-75.043	-15
340	repvgg_b0	2.547	97.453	24.013	75.987	15.82	224	0.875	bilinear	-88.883	-73.977	-34
341	regnetx_006	2.507	97.493	20.653	79.347	6.20	224	0.875	bicubic	-87.843	-76.537	-9
342	legacy_seresnet18	2.493	97.507	20.080	79.920	11.78	224	0.875	bicubic	-86.387	-76.900	+6
343	resnet26	2.480	97.520	22.987	77.013	16.00	224	0.875	bicubic	-88.630	-74.753	-26
344	mobilenetv2_100	2.147	97.853	19.907	80.093	3.50	224	0.875	bicubic	-87.453	-77.233	-2
345	regnety_002	2.147	97.853	18.880	81.120	3.16	224	0.875	bicubic	-85.233	-77.710	+9
346	vgg19	2.107	97.893	20.733	79.267	143.67	224	0.875	bilinear	-86.933	-76.137	-1
347	vgg13_bn	2.093	97.907	20.307	79.693	133.05	224	0.875	bilinear	-86.667	-76.663	+2
348	tf_mobilenetv3_small_100	2.013	97.987	15.867	84.133	2.54	224	0.875	bilinear	-83.177	-79.903	+12
349	tf_mobilenetv3_small_075	2.000	98.000	14.813	85.187	2.04	224	0.875	bilinear	-81.520	-79.977	+14
350	regnetx_004	1.960	98.040	19.173	80.827	5.16	224	0.875	bicubic	-86.940	-77.947	-3
351	tv_resnet34	1.867	98.133	20.000	80.000	21.80	224	0.875	bilinear	-88.073	-77.340	-13
352	vgg13	1.867	98.133	17.960	82.040	133.05	224	0.875	bilinear	-85.183	-78.360	+4
353	dla46x_c	1.760	98.240	16.480	83.520	1.07	224	0.875	bilinear	-82.490	-78.790	+8
354	vgg11_bn	1.720	98.280	18.093	81.907	132.87	224	0.875	bilinear	-85.780	-78.727	-2
355	tf_mobilenetv3_large_minimal_100	1.627	98.373	17.120	82.880	3.92	224	0.875	bilinear	-87.343	-79.740	-9
356	dla60x_c	1.613	98.387	18.040	81.960	1.32	224	0.875	bilinear	-84.677	-78.120	+2
357	vgg11	1.560	98.440	16.227	83.773	132.86	224	0.875	bilinear	-84.990	-80.053	0
358	gluon_resnet18_v1b	1.547	98.453	16.613	83.387	11.69	224	0.875	bicubic	-86.853	-80.067	-7
359	hrnet_w18_small	1.533	98.467	18.120	81.880	13.19	224	0.875	bilinear	-87.517	-78.990	-15
360	dla46_c	1.520	98.480	15.267	84.733	1.30	224	0.875	bilinear	-82.130	-79.653	+2
361	regnetx_002	1.373	98.627	15.027	84.973	2.68	224	0.875	bicubic	-84.817	-80.953	-2
362	resnet18	1.160	98.840	16.213	83.787	11.69	224	0.875	bilinear	-86.230	-80.077	-9
363	tf_mobilenetv3_small_minimal_100	1.013	98.987	11.493	88.507	2.04	224	0.875	bilinear	-80.367	-82.177	+1
364	tv_resnet50	0.000	100.000	14.453	85.547	25.56	224	0.875	bilinear	-91.880	-83.587	-67