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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation	top1_diff	top5_diff	rank_diff
2	ig_resnext101_32x48d	79.650	20.350	89.393	10.607	828.41	224	0.875	bilinear	-17.320	-10.277	+7
3	ig_resnext101_32x32d	79.457	20.543	89.183	10.817	468.53	224	0.875	bilinear	-17.323	-10.347	+13
4	ig_resnext101_32x16d	78.837	21.163	88.480	11.520	194.03	224	0.875	bilinear	-17.603	-11.060	+27
5	tf_efficientnet_l2_ns_475	76.480	23.520	88.653	11.347	480.31	475	0.936	bicubic	-21.270	-11.167	-2
6	swsl_resnext101_32x16d	76.303	23.697	87.733	12.267	194.03	224	0.875	bilinear	-19.967	-11.767	+34
7	ig_resnext101_32x8d	75.813	24.187	86.200	13.800	88.79	224	0.875	bilinear	-20.117	-13.300	+51
8	swsl_resnext101_32x8d	75.590	24.410	86.937	13.063	88.79	224	0.875	bilinear	-20.650	-12.653	+34
9	tf_efficientnet_l2_ns	74.650	25.350	87.543	12.457	480.31	800	0.960	bicubic	-23.130	-12.347	-7
10	swsl_resnext101_32x4d	72.660	27.340	85.157	14.843	44.18	224	0.875	bilinear	-23.390	-14.373	+42
11	swsl_resnext50_32x4d	68.977	31.023	82.810	17.190	25.03	224	0.875	bilinear	-26.643	-16.630	+58
12	swsl_resnet50	68.297	31.703	83.313	16.687	25.56	224	0.875	bilinear	-26.903	-16.077	+79
13	tf_efficientnet_b7_ns	67.510	32.490	81.383	18.617	66.35	600	0.949	bicubic	-29.690	-18.317	-9
14	swin_large_patch4_window12_384	66.283	33.717	79.783	20.217	196.74	384	1.000	bicubic	-30.887	-19.897	-9
15	tf_efficientnet_b6_ns	65.587	34.413	79.553	20.447	43.04	528	0.942	bicubic	-31.433	-20.157	-8
16	swin_large_patch4_window7_224	63.870	36.130	78.180	21.820	196.53	224	0.900	bicubic	-33.080	-21.480	-6
17	swin_base_patch4_window12_384	63.470	36.530	78.063	21.937	87.90	384	1.000	bicubic	-33.650	-21.717	-11
18	tf_efficientnet_b5_ns	63.047	36.953	77.777	22.223	30.39	456	0.934	bicubic	-33.823	-21.863	-5
19	tf_efficientnet_b4_ns	61.230	38.770	76.173	23.827	19.34	380	0.922	bicubic	-35.480	-23.467	-1
20	swin_base_patch4_window7_224	59.537	40.463	74.247	25.753	87.77	224	0.900	bicubic	-37.143	-25.413	0
21	tf_efficientnet_b8_ap	57.830	42.170	72.957	27.043	87.41	672	0.954	bicubic	-38.720	-26.583	+4
22	cait_m48_448	57.470	42.530	71.860	28.140	356.46	448	1.000	bicubic	-39.410	-27.760	-11
23	cait_m36_384	57.467	42.533	72.313	27.687	271.22	384	1.000	bicubic	-39.363	-27.347	-9
24	tf_efficientnet_b3_ns	57.417	42.583	72.387	27.613	12.23	300	0.904	bicubic	-38.683	-27.093	+23
25	vit_large_patch16_384	54.750	45.250	70.007	29.993	304.72	384	1.000	bicubic	-41.610	-29.623	+11
26	vit_base_r50_s16_384	54.400	45.600	69.560	30.440	98.95	384	1.000	bicubic	-42.050	-30.100	+4
27	resnetv2_152x4_bitm	54.263	45.737	70.137	29.863	936.53	480	1.000	bilinear	-42.617	-29.523	-15
28	dm_nfnet_f6	54.073	45.927	69.110	30.890	438.36	576	0.956	bicubic	-42.917	-30.630	-20
29	tf_efficientnet_b5_ap	53.870	46.130	69.160	30.840	30.39	456	0.934	bicubic	-42.210	-30.380	+19
30	dm_nfnet_f5	53.773	46.227	68.500	31.500	377.21	544	0.954	bicubic	-42.937	-31.180	-13
31	tf_efficientnet_b2_ns	53.600	46.400	70.270	29.730	9.11	260	0.890	bicubic	-41.920	-29.070	+42
32	tf_efficientnet_b6_ap	53.560	46.440	68.550	31.450	43.04	528	0.942	bicubic	-42.810	-31.000	+2
33	cait_s36_384	53.550	46.450	68.000	32.000	68.37	384	1.000	bicubic	-43.080	-31.600	-12
34	tf_efficientnet_b8	53.410	46.590	69.090	30.910	87.41	672	0.954	bicubic	-43.290	-30.440	-15
35	tf_efficientnet_b7_ap	53.260	46.740	68.873	31.127	66.35	600	0.949	bicubic	-43.090	-30.717	+2
36	dm_nfnet_f3	53.190	46.810	68.083	31.917	254.92	416	0.940	bicubic	-43.440	-31.557	-14
37	tf_efficientnet_b4_ap	53.090	46.910	68.210	31.790	19.34	380	0.922	bicubic	-42.400	-31.180	+39
38	tf_efficientnet_b7	52.393	47.607	68.233	31.767	66.35	600	0.949	bicubic	-44.187	-31.277	-15
39	swsl_resnet18	52.327	47.673	70.480	29.520	11.69	224	0.875	bilinear	-38.763	-27.730	+289
40	dm_nfnet_f4	52.260	47.740	67.120	32.880	316.07	512	0.951	bicubic	-44.560	-32.480	-25
41	vit_deit_base_distilled_patch16_384	52.257	47.743	67.733	32.267	87.63	384	1.000	bicubic	-44.253	-31.857	-15
42	cait_s24_384	51.783	48.217	66.313	33.687	47.06	384	1.000	bicubic	-44.787	-33.237	-18
43	ecaresnet269d	51.670	48.330	66.047	33.953	102.09	352	1.000	bicubic	-44.790	-33.563	-14
44	vit_base_patch16_224_miil	51.557	48.443	65.207	34.793	86.54	224	0.875	bilinear	-44.473	-34.143	+9
45	pit_b_distilled_224	51.153	48.847	66.770	33.230	74.79	224	0.900	bicubic	-44.917	-32.610	+4
46	resnetv2_152x2_bitm	51.040	48.960	68.527	31.473	236.34	480	1.000	bilinear	-45.460	-31.093	-18
47	vit_base_patch16_384	50.883	49.117	65.270	34.730	86.86	384	1.000	bicubic	-45.307	-34.260	-5
48	tf_efficientnet_b1_ns	50.883	49.117	67.910	32.090	7.79	240	0.882	bicubic	-43.977	-31.340	+58
49	vit_large_patch16_224	50.877	49.123	66.227	33.773	304.33	224	0.900	bicubic	-44.413	-33.083	+36
50	efficientnet_b4	50.510	49.490	65.703	34.297	19.34	384	1.000	bicubic	-45.010	-33.687	+22
51	ssl_resnext101_32x16d	50.257	49.743	66.033	33.967	194.03	224	0.875	bilinear	-45.153	-33.377	+28
52	cait_s24_224	50.243	49.757	65.027	34.973	46.92	224	1.000	bicubic	-45.407	-34.363	+14
53	resnest269e	50.153	49.847	64.670	35.330	110.93	416	0.928	bicubic	-45.967	-34.850	-8
54	vit_deit_base_distilled_patch16_224	50.063	49.937	66.227	33.773	87.34	224	0.900	bicubic	-45.687	-33.053	+9
55	tf_efficientnet_b3_ap	50.057	49.943	65.210	34.790	12.23	300	0.904	bicubic	-44.913	-33.900	+44
56	resnest200e	49.873	50.127	64.743	35.257	70.20	320	0.909	bicubic	-46.197	-34.737	-6
57	resnetv2_101x3_bitm	49.823	50.177	66.917	33.083	387.93	480	1.000	bilinear	-46.537	-32.683	-22
58	cait_xs24_384	49.527	50.473	64.900	35.100	26.67	384	1.000	bicubic	-46.483	-34.530	-4
59	tf_efficientnet_b5	49.510	50.490	65.657	34.343	30.39	456	0.934	bicubic	-46.470	-33.793	-3
60	resnet200d	49.470	50.530	64.330	35.670	64.69	320	1.000	bicubic	-46.640	-35.130	-14
61	resnest101e	49.367	50.633	65.587	34.413	48.28	256	0.875	bilinear	-46.203	-33.683	+10
62	resnet152d	49.253	50.747	64.413	35.587	60.21	320	1.000	bicubic	-46.617	-35.017	-1
63	seresnet152d	49.247	50.753	64.170	35.830	66.84	320	1.000	bicubic	-47.063	-35.340	-25
64	ssl_resnext101_32x8d	49.067	50.933	65.480	34.520	88.79	224	0.875	bilinear	-46.273	-33.840	+20
65	repvgg_b3	48.917	51.083	64.887	35.113	123.09	224	0.875	bilinear	-45.633	-34.023	+61
66	resnetrs420	48.857	51.143	63.427	36.573	191.89	416	1.000	bicubic	-47.543	-36.113	-34
67	dm_nfnet_f2	48.623	51.377	63.537	36.463	193.78	352	0.920	bicubic	-47.877	-36.033	-40
68	efficientnet_v2s	48.603	51.397	63.840	36.160	23.94	384	1.000	bicubic	-47.107	-35.540	-3
69	efficientnet_b3	48.563	51.437	64.250	35.750	12.23	320	1.000	bicubic	-46.577	-34.960	+26
70	ecaresnet101d	48.527	51.473	64.100	35.900	44.57	224	0.875	bicubic	-46.633	-35.200	+23
71	repvgg_b3g4	48.310	51.690	64.800	35.200	83.83	224	0.875	bilinear	-46.180	-34.220	+58
72	vit_large_patch32_384	48.250	51.750	61.830	38.170	306.63	384	1.000	bicubic	-46.990	-37.490	+16
73	resnetrs350	48.050	51.950	62.653	37.347	163.96	384	1.000	bicubic	-48.190	-36.817	-32
74	repvgg_b2g4	47.787	52.213	64.390	35.610	61.76	224	0.875	bilinear	-46.033	-34.610	+109
75	eca_nfnet_l1	47.663	52.337	62.767	37.233	41.41	320	1.000	bicubic	-48.267	-36.613	-16
76	pit_s_distilled_224	47.543	52.457	63.493	36.507	24.04	224	0.900	bicubic	-47.187	-35.697	+33
77	resnest50d_4s2x40d	47.483	52.517	63.807	36.193	30.42	224	0.875	bicubic	-47.227	-35.323	+35
78	efficientnet_b3_pruned	47.447	52.553	62.793	37.207	9.86	300	0.904	bicubic	-47.133	-36.277	+45
79	vit_base_patch16_224	47.340	52.660	61.607	38.393	86.57	224	0.900	bicubic	-47.870	-37.623	+11
80	tresnet_m	47.230	52.770	61.993	38.007	31.39	224	0.875	bilinear	-48.150	-37.157	+2
81	tf_efficientnet_b6	47.213	52.787	63.110	36.890	43.04	528	0.942	bicubic	-49.077	-36.410	-42
82	ssl_resnext101_32x4d	47.177	52.823	63.367	36.633	44.18	224	0.875	bilinear	-47.983	-35.863	+10
83	resnetrs270	47.107	52.893	62.010	37.990	129.86	352	1.000	bicubic	-48.953	-37.480	-32
84	tf_efficientnet_b4	47.083	52.917	62.867	37.133	19.34	380	0.922	bicubic	-48.507	-36.463	-14
85	resnet101d	46.893	53.107	62.317	37.683	44.57	320	1.000	bicubic	-48.857	-37.123	-23
86	resnetrs200	46.837	53.163	62.487	37.513	93.21	320	1.000	bicubic	-49.153	-36.953	-31
87	resnetv2_50x3_bitm	46.827	53.173	64.873	35.127	217.32	480	1.000	bilinear	-49.313	-34.747	-43
88	dm_nfnet_f1	46.693	53.307	61.560	38.440	132.63	320	0.910	bicubic	-49.677	-37.910	-55
89	gluon_seresnext101_64x4d	46.677	53.323	61.303	38.697	88.23	224	0.875	bicubic	-47.973	-37.677	+29
90	tresnet_xl	46.283	53.717	61.943	38.057	78.44	224	0.875	bilinear	-48.777	-37.317	+7
91	vit_deit_small_distilled_patch16_224	46.160	53.840	62.417	37.583	22.44	224	0.900	bicubic	-48.430	-36.683	+31
92	regnety_160	46.153	53.847	61.837	38.163	83.59	288	1.000	bicubic	-49.727	-37.723	-32
93	gernet_m	46.150	53.850	62.700	37.300	21.14	224	0.875	bilinear	-48.400	-36.550	+34
94	resnest50d_1s4x24d	46.083	53.917	62.377	37.623	25.68	224	0.875	bicubic	-48.307	-36.693	+40
95	tf_efficientnet_b0_ns	46.047	53.953	63.253	36.747	5.29	224	0.875	bicubic	-47.693	-35.727	+100
96	resnest50d	45.937	54.063	62.623	37.377	27.48	224	0.875	bilinear	-48.683	-36.407	+23
97	regnety_032	45.893	54.107	61.537	38.463	19.44	288	1.000	bicubic	-49.577	-37.783	-19
98	gluon_seresnext101_32x4d	45.590	54.410	61.143	38.857	48.96	224	0.875	bicubic	-48.860	-37.947	+33
99	gluon_resnet152_v1d	45.430	54.570	60.077	39.923	60.21	224	0.875	bicubic	-49.010	-38.933	+33
100	dm_nfnet_f0	45.420	54.580	60.990	39.010	71.49	256	0.900	bicubic	-50.210	-38.310	-32
101	ssl_resnext50_32x4d	45.407	54.593	62.047	37.953	25.03	224	0.875	bilinear	-49.293	-37.193	+12
102	nfnet_l0	45.390	54.610	62.057	37.943	35.07	288	1.000	bicubic	-50.000	-37.363	-21
103	tresnet_xl_448	45.223	54.777	61.437	38.563	78.44	448	0.875	bilinear	-50.287	-37.903	-28
104	nasnetalarge	45.210	54.790	57.883	42.117	88.75	331	0.911	bicubic	-49.940	-41.247	-10
105	swin_small_patch4_window7_224	45.163	54.837	60.330	39.670	49.61	224	0.900	bicubic	-50.557	-38.960	-41
106	tf_efficientnet_b3	45.107	54.893	60.650	39.350	12.23	300	0.904	bicubic	-49.803	-38.460	-4
107	rexnet_200	45.047	54.953	62.317	37.683	16.37	224	0.875	bicubic	-49.613	-36.773	+9
108	resnetrs152	44.943	55.057	59.713	40.287	86.62	320	1.000	bicubic	-51.017	-39.667	-51
109	ecaresnetlight	44.890	55.110	60.770	39.230	30.16	224	0.875	bicubic	-49.250	-38.180	+43
110	vit_deit_base_patch16_224	44.870	55.130	59.177	40.823	86.57	224	0.900	bicubic	-50.140	-39.803	-12
111	vit_deit_base_patch16_384	44.777	55.223	59.617	40.383	86.86	384	1.000	bicubic	-50.873	-39.623	-44
112	cait_xxs36_384	44.773	55.227	59.380	40.620	17.37	384	1.000	bicubic	-50.447	-39.940	-23
113	gernet_l	44.740	55.260	58.943	41.057	31.08	256	0.875	bilinear	-50.190	-40.257	-13
114	tf_efficientnet_b2_ap	44.700	55.300	60.680	39.320	9.11	260	0.890	bicubic	-49.570	-38.270	+29
115	vit_base_patch32_384	44.693	55.307	58.530	41.470	88.30	384	1.000	bicubic	-50.567	-40.650	-29
116	ens_adv_inception_resnet_v2	44.393	55.607	58.117	41.883	55.84	299	0.897	bicubic	-49.737	-40.673	+38
117	tresnet_l	44.363	55.637	59.953	40.047	55.99	224	0.875	bilinear	-50.537	-39.077	-14
118	gluon_resnext101_32x4d	44.290	55.710	59.090	40.910	44.18	224	0.875	bicubic	-49.830	-39.840	+39
119	wide_resnet50_2	44.177	55.823	59.727	40.273	68.88	224	0.875	bicubic	-50.493	-39.403	-5
120	cspresnext50	44.147	55.853	60.533	39.467	20.57	224	0.875	bilinear	-49.613	-38.307	+70
121	seresnext50_32x4d	44.127	55.873	59.490	40.510	27.56	224	0.875	bicubic	-50.693	-39.640	-15
122	gluon_resnet152_v1s	44.073	55.927	58.703	41.297	60.32	224	0.875	bicubic	-50.647	-40.357	-12
123	pit_b_224	44.070	55.930	58.017	41.983	73.76	224	0.900	bicubic	-50.720	-40.803	-16
124	ssl_resnet50	44.010	55.990	61.887	38.113	25.56	224	0.875	bilinear	-50.300	-37.263	+16
125	inception_resnet_v2	44.003	55.997	57.907	42.093	55.84	299	0.897	bicubic	-50.337	-40.893	+14
126	pnasnet5large	43.950	56.050	56.730	43.270	86.06	331	0.911	bicubic	-51.410	-42.400	-43
127	pit_s_224	43.890	56.110	58.627	41.373	23.46	224	0.900	bicubic	-50.700	-40.303	-6
128	gluon_resnext101_64x4d	43.877	56.123	58.710	41.290	83.46	224	0.875	bicubic	-50.473	-40.170	+10
129	tnt_s_patch16_224	43.773	56.227	59.197	40.803	23.76	224	0.900	bicubic	-50.807	-39.983	-5
130	cait_xxs36_224	43.760	56.240	58.720	41.280	17.30	224	1.000	bicubic	-50.180	-40.200	+43
131	ecaresnet50d	43.750	56.250	60.387	39.613	25.58	224	0.875	bicubic	-50.440	-38.633	+17
132	ecaresnet101d_pruned	43.737	56.263	59.607	40.393	24.88	224	0.875	bicubic	-50.713	-39.493	-2
133	rexnet_150	43.690	56.310	60.897	39.103	9.73	224	0.875	bicubic	-50.580	-38.183	+9
134	pit_xs_distilled_224	43.663	56.337	60.703	39.297	11.00	224	0.900	bicubic	-49.577	-38.117	+100
135	gluon_resnet101_v1d	43.440	56.560	58.613	41.387	44.57	224	0.875	bicubic	-50.730	-40.297	+16
136	ecaresnet50t	43.407	56.593	59.300	40.700	25.57	320	0.950	bicubic	-51.663	-39.990	-40
137	gluon_resnet101_v1s	43.363	56.637	58.503	41.497	44.67	224	0.875	bicubic	-50.807	-40.507	+13
138	cspdarknet53	43.357	56.643	59.430	40.570	27.64	256	0.887	bilinear	-50.733	-39.550	+20
139	dpn68b	43.287	56.713	58.673	41.327	12.61	224	0.875	bicubic	-50.333	-40.287	+69
140	eca_nfnet_l0	43.230	56.770	59.913	40.087	24.14	288	1.000	bicubic	-52.240	-39.467	-63
141	resnest26d	43.140	56.860	60.623	39.377	17.07	224	0.875	bilinear	-50.100	-38.227	+94
142	resnetv2_101x1_bitm	43.113	56.887	60.950	39.050	44.54	480	1.000	bilinear	-52.397	-38.560	-68
143	dpn131	43.047	56.953	57.440	42.560	79.25	224	0.875	bicubic	-50.713	-41.360	+48
144	cspresnet50	43.030	56.970	59.153	40.847	21.62	256	0.887	bilinear	-50.830	-39.717	+35
145	tf_efficientnet_lite4	42.967	57.033	57.620	42.380	13.01	380	0.920	bilinear	-51.903	-41.470	-41
146	gluon_resnet152_v1b	42.903	57.097	57.750	42.250	60.19	224	0.875	bicubic	-51.127	-40.990	+16
147	dpn107	42.857	57.143	57.367	42.633	86.92	224	0.875	bicubic	-51.103	-41.473	+22
148	tf_efficientnet_b1_ap	42.803	57.197	58.813	41.187	7.79	240	0.882	bicubic	-50.827	-39.987	+58
149	gluon_resnet152_v1c	42.800	57.200	57.737	42.263	60.21	224	0.875	bicubic	-51.080	-41.063	+28
150	gluon_xception65	42.793	57.207	58.820	41.180	39.92	299	0.903	bicubic	-51.217	-40.200	+15
151	tresnet_l_448	42.753	57.247	58.947	41.053	55.99	448	0.875	bilinear	-52.657	-40.353	-71
152	resnet50d	42.703	57.297	58.697	41.303	25.58	224	0.875	bicubic	-51.367	-40.223	+9
153	gluon_seresnext50_32x4d	42.683	57.317	58.710	41.290	27.56	224	0.875	bicubic	-51.487	-40.230	-4
154	resnext101_32x8d	42.557	57.443	58.317	41.683	88.79	224	0.875	bilinear	-51.213	-40.633	+35
155	seresnet50	42.510	57.490	58.667	41.333	28.09	224	0.875	bicubic	-51.570	-40.303	+5
156	resnetrs101	42.437	57.563	57.300	42.700	63.62	288	0.940	bicubic	-52.813	-41.910	-69
157	nf_resnet50	42.400	57.600	59.540	40.460	25.56	288	0.940	bicubic	-52.010	-39.560	-24
158	dpn98	42.280	57.720	56.880	43.120	61.57	224	0.875	bicubic	-51.660	-42.010	+13
159	vit_deit_small_patch16_224	42.263	57.737	58.020	41.980	22.05	224	0.900	bicubic	-51.737	-40.940	+9
160	tf_efficientnet_cc_b1_8e	42.233	57.767	58.420	41.580	39.72	240	0.882	bicubic	-51.337	-40.270	+54
161	legacy_senet154	42.207	57.793	56.597	43.403	115.09	224	0.875	bilinear	-52.523	-42.503	-53
162	cait_xxs24_384	42.187	57.813	57.460	42.540	12.03	384	1.000	bicubic	-52.733	-41.680	-61
163	tf_efficientnet_b2	42.120	57.880	58.197	41.803	9.11	260	0.890	bicubic	-52.090	-40.833	-17
164	gluon_resnext50_32x4d	42.043	57.957	57.667	42.333	25.03	224	0.875	bicubic	-51.607	-41.023	+39
165	resnet50	42.013	57.987	56.000	44.000	25.56	224	0.875	bicubic	-51.447	-42.600	+57
166	ecaresnet50d_pruned	41.953	58.047	58.217	41.783	19.94	224	0.875	bicubic	-51.867	-40.713	+18
167	efficientnet_b2	41.933	58.067	58.300	41.700	9.11	288	1.000	bicubic	-52.437	-40.750	-31
168	dla102x2	41.647	58.353	57.967	42.033	41.28	224	0.875	bilinear	-52.353	-41.063	-1
169	hrnet_w64	41.637	58.363	57.130	42.870	128.06	224	0.875	bilinear	-52.193	-41.800	+13
170	gluon_senet154	41.627	58.373	56.373	43.627	115.09	224	0.875	bicubic	-53.083	-42.597	-59
171	inception_v4	41.577	58.423	55.383	44.617	42.68	299	0.875	bicubic	-52.803	-43.437	-36
172	efficientnet_el	41.497	58.503	58.303	41.697	10.59	300	0.904	bicubic	-53.173	-40.747	-57
173	efficientnet_em	41.493	58.507	58.877	41.123	6.90	240	0.882	bicubic	-52.247	-40.053	+21
174	tf_efficientnet_cc_b0_8e	41.487	58.513	57.377	42.623	24.01	224	0.875	bicubic	-51.383	-41.083	+86
175	swin_tiny_patch4_window7_224	41.457	58.543	57.303	42.697	28.29	224	0.900	bicubic	-53.163	-41.817	-55
176	resnext50_32x4d	41.443	58.557	56.997	43.003	25.03	224	0.875	bicubic	-52.397	-41.833	+5
177	cait_xxs24_224	41.383	58.617	57.527	42.473	11.96	224	1.000	bicubic	-52.107	-41.243	+43
178	tv_resnet152	41.330	58.670	57.520	42.480	60.19	224	0.875	bilinear	-51.910	-41.230	+58
179	xception71	41.270	58.730	55.873	44.127	42.34	299	0.903	bicubic	-52.620	-43.077	-3
180	dpn92	41.267	58.733	56.333	43.667	37.67	224	0.875	bicubic	-52.923	-42.597	-33
181	adv_inception_v3	41.263	58.737	56.317	43.683	23.83	299	0.875	bicubic	-51.747	-42.173	+65
182	gernet_s	41.247	58.753	58.830	41.170	8.17	224	0.875	bilinear	-51.193	-39.670	+101
183	resnetblur50	41.053	58.947	57.077	42.923	25.56	224	0.875	bicubic	-52.657	-41.723	+16
184	nf_regnet_b1	41.010	58.990	58.117	41.883	10.22	288	0.900	bicubic	-52.880	-40.633	-10
185	gluon_resnet50_v1d	40.970	59.030	57.137	42.863	25.58	224	0.875	bicubic	-52.560	-41.573	+32
186	gluon_inception_v3	40.907	59.093	55.617	44.383	23.83	299	0.875	bicubic	-52.633	-43.213	+29
187	ese_vovnet39b	40.867	59.133	56.950	43.050	24.57	224	0.875	bicubic	-52.983	-41.950	-7
188	regnety_320	40.813	59.187	56.117	43.883	145.05	224	0.875	bicubic	-53.707	-43.053	-60
189	resnet34d	40.810	59.190	56.530	43.470	21.82	224	0.875	bicubic	-51.830	-41.890	+82
190	xception	40.763	59.237	56.387	43.613	22.86	299	0.897	bicubic	-52.877	-42.383	+14
191	skresnext50_32x4d	40.700	59.300	56.023	43.977	27.48	224	0.875	bicubic	-53.250	-42.797	-21
192	gluon_resnet101_v1b	40.683	59.317	56.117	43.883	44.55	224	0.875	bicubic	-53.077	-42.583	0
193	hrnet_w40	40.660	59.340	56.757	43.243	57.56	224	0.875	bilinear	-53.050	-42.043	+4
194	repvgg_b1	40.593	59.407	57.837	42.163	57.42	224	0.875	bilinear	-52.817	-40.953	+33
195	tf_efficientnet_lite3	40.563	59.437	56.477	43.523	8.20	300	0.904	bilinear	-53.567	-42.483	-39
196	tresnet_m_448	40.530	59.470	56.700	43.300	31.39	448	0.875	bilinear	-54.130	-42.450	-79
197	pit_xs_224	40.497	59.503	56.530	43.470	10.62	224	0.900	bicubic	-52.413	-42.250	+58
198	dla169	40.493	59.507	57.263	42.737	53.39	224	0.875	bilinear	-53.307	-41.647	-11
199	repvgg_b2	40.467	59.533	57.780	42.220	89.02	224	0.875	bilinear	-53.123	-41.290	+12
200	regnetx_320	40.443	59.557	55.660	44.340	107.81	224	0.875	bicubic	-53.767	-43.390	-55
201	skresnet34	40.397	59.603	56.737	43.263	22.28	224	0.875	bicubic	-52.173	-41.783	+77
202	efficientnet_el_pruned	40.390	59.610	56.903	43.097	10.59	300	0.904	bicubic	-53.700	-42.107	-43
203	efficientnet_b2_pruned	40.383	59.617	56.537	43.463	8.31	260	0.890	bicubic	-53.417	-42.303	-17
204	legacy_seresnext101_32x4d	40.360	59.640	54.817	45.183	48.96	224	0.875	bilinear	-53.770	-44.153	-50
205	wide_resnet101_2	40.360	59.640	55.780	44.220	126.89	224	0.875	bilinear	-53.370	-43.030	-10
206	coat_lite_mini	40.360	59.640	55.717	44.283	11.01	224	0.900	bicubic	-53.090	-43.063	+19
207	tf_efficientnet_b0_ap	40.337	59.663	56.787	43.213	5.29	224	0.875	bicubic	-52.273	-41.583	+66
208	xception65	40.273	59.727	55.283	44.717	39.92	299	0.903	bicubic	-53.487	-43.577	-15
209	regnetx_160	40.270	59.730	56.050	43.950	54.28	224	0.875	bicubic	-53.610	-43.040	-31
210	densenet201	40.267	59.733	56.710	43.290	20.01	224	0.875	bicubic	-52.423	-41.940	+57
211	resnext50d_32x4d	40.170	59.830	55.487	44.513	25.05	224	0.875	bicubic	-53.640	-43.253	-26
212	vit_small_patch16_224	40.130	59.870	56.543	43.457	48.75	224	0.900	bicubic	-52.470	-41.887	+62
213	hrnet_w48	40.093	59.907	56.640	43.360	77.47	224	0.875	bilinear	-53.937	-42.400	-50
214	legacy_seresnet152	40.043	59.957	55.820	44.180	66.82	224	0.875	bilinear	-53.397	-43.030	+11
215	hrnet_w30	40.030	59.970	57.093	42.907	37.71	224	0.875	bilinear	-53.340	-41.737	+14
216	regnetx_080	40.000	60.000	55.977	44.023	39.57	224	0.875	bicubic	-53.790	-42.933	-28
217	tf_efficientnet_b1	39.977	60.023	56.137	43.863	7.79	240	0.882	bicubic	-53.733	-42.673	-19
218	gluon_resnet101_v1c	39.953	60.047	55.300	44.700	44.57	224	0.875	bicubic	-53.737	-43.460	-18
219	res2net101_26w_4s	39.717	60.283	54.550	45.450	45.21	224	0.875	bilinear	-53.803	-44.050	-1
220	regnetx_120	39.687	60.313	55.633	44.367	46.11	224	0.875	bicubic	-54.583	-43.557	-79
221	hrnet_w44	39.677	60.323	55.333	44.667	67.06	224	0.875	bilinear	-53.943	-43.617	-12
222	densenet161	39.620	60.380	56.133	43.867	28.68	224	0.875	bicubic	-53.280	-42.677	+34
223	mixnet_xl	39.617	60.383	55.887	44.113	11.90	224	0.875	bicubic	-54.613	-42.933	-79
224	xception41	39.610	60.390	55.037	44.963	26.97	299	0.903	bicubic	-53.870	-43.713	-3
225	res2net50_26w_8s	39.603	60.397	54.550	45.450	48.40	224	0.875	bilinear	-53.847	-44.150	-1
226	dla102x	39.553	60.447	56.323	43.677	26.31	224	0.875	bilinear	-53.977	-42.527	-10
227	rexnet_130	39.487	60.513	56.640	43.360	7.56	224	0.875	bicubic	-54.183	-42.070	-25
228	hrnet_w32	39.463	60.537	56.123	43.877	41.23	224	0.875	bilinear	-53.487	-42.447	+23
229	regnety_064	39.403	60.597	55.773	44.227	30.58	224	0.875	bicubic	-54.737	-43.257	-76
230	densenetblur121d	39.380	60.620	56.640	43.360	8.00	224	0.875	bicubic	-53.020	-41.770	+55
231	regnety_120	39.347	60.653	55.277	44.723	51.82	224	0.875	bicubic	-54.663	-43.753	-65
232	tv_resnet101	39.307	60.693	55.803	44.197	44.55	224	0.875	bilinear	-53.573	-42.857	+27
233	tf_efficientnet_el	39.303	60.697	55.387	44.613	10.59	300	0.904	bicubic	-55.057	-43.713	-96
234	tf_inception_v3	39.237	60.763	54.300	45.700	23.83	299	0.875	bicubic	-53.963	-44.180	+3
235	gluon_resnet50_v1s	39.233	60.767	55.010	44.990	25.68	224	0.875	bicubic	-54.357	-43.830	-25
236	densenet169	39.167	60.833	55.843	44.157	14.15	224	0.875	bicubic	-53.133	-42.747	+53
237	legacy_seresnet101	39.037	60.963	55.003	44.997	49.33	224	0.875	bilinear	-54.223	-43.737	-6
238	efficientnet_b1_pruned	39.010	60.990	55.647	44.353	6.33	240	0.882	bicubic	-53.970	-42.883	+11
239	repvgg_b1g4	38.990	61.010	56.350	43.650	39.97	224	0.875	bilinear	-54.040	-42.470	+5
240	inception_v3	38.960	61.040	53.853	46.147	23.83	299	0.875	bicubic	-53.940	-44.477	+17
241	dpn68	38.933	61.067	54.933	45.067	12.61	224	0.875	bicubic	-53.307	-43.677	+51
242	regnety_080	38.917	61.083	55.213	44.787	39.18	224	0.875	bicubic	-54.973	-43.787	-67
243	legacy_seresnext50_32x4d	38.877	61.123	54.593	45.407	27.56	224	0.875	bilinear	-54.553	-44.207	-17
244	dla102	38.833	61.167	55.323	44.677	33.27	224	0.875	bilinear	-54.427	-43.457	-14
245	regnety_040	38.820	61.180	55.557	44.443	20.65	224	0.875	bicubic	-54.800	-43.143	-38
246	densenet121	38.783	61.217	56.273	43.727	7.98	224	0.875	bicubic	-53.157	-42.007	+53
247	res2net50_14w_8s	38.710	61.290	54.077	45.923	25.06	224	0.875	bilinear	-54.320	-44.623	-2
248	regnetx_040	38.703	61.297	55.340	44.660	22.12	224	0.875	bicubic	-54.977	-43.600	-47
249	res2net50_26w_6s	38.687	61.313	53.743	46.257	37.05	224	0.875	bilinear	-54.903	-45.007	-37
250	regnetx_032	38.680	61.320	55.157	44.843	15.30	224	0.875	bicubic	-54.570	-43.573	-17
251	selecsls60	38.623	61.377	55.630	44.370	30.67	224	0.875	bicubic	-54.387	-43.200	-4
252	dla60x	38.617	61.383	55.383	44.617	17.35	224	0.875	bilinear	-54.573	-43.327	-14
253	tf_efficientnet_b0	38.600	61.400	55.957	44.043	5.29	224	0.875	bicubic	-53.800	-42.513	+33
254	dla60_res2net	38.590	61.410	54.560	45.440	20.85	224	0.875	bilinear	-54.790	-44.300	-26
255	selecsls60b	38.573	61.427	55.307	44.693	32.77	224	0.875	bicubic	-54.927	-43.533	-36
256	repvgg_a2	38.563	61.437	55.770	44.230	28.21	224	0.875	bilinear	-54.117	-42.750	+12
257	hardcorenas_f	38.500	61.500	55.657	44.343	8.20	224	0.875	bilinear	-54.480	-42.963	-7
258	dla60_res2next	38.450	61.550	54.950	45.050	17.03	224	0.875	bilinear	-55.120	-43.850	-45
259	regnetx_064	38.430	61.570	54.990	45.010	26.21	224	0.875	bicubic	-55.200	-44.060	-54
260	tf_efficientnet_cc_b0_4e	38.413	61.587	55.150	44.850	13.31	224	0.875	bicubic	-54.427	-43.290	+3
261	gluon_resnet50_v1b	38.407	61.593	54.833	45.167	25.56	224	0.875	bicubic	-54.153	-43.717	+18
262	resnetv2_50x1_bitm	38.287	61.713	56.967	43.033	25.55	480	1.000	bilinear	-56.263	-41.963	-137
263	hrnet_w18	38.277	61.723	55.643	44.357	21.30	224	0.875	bilinear	-54.483	-43.017	+3
264	mixnet_l	38.160	61.840	54.757	45.243	7.33	224	0.875	bicubic	-55.100	-43.943	-32
265	hardcorenas_e	38.137	61.863	55.173	44.827	8.07	224	0.875	bilinear	-54.813	-43.667	-13
266	efficientnet_b1	38.087	61.913	54.010	45.990	7.79	256	1.000	bicubic	-54.943	-44.700	-23
267	coat_lite_tiny	38.070	61.930	53.453	46.547	5.72	224	0.900	bicubic	-54.780	-45.187	-6
268	resnetrs50	37.957	62.043	53.310	46.690	35.69	224	0.910	bicubic	-56.063	-45.540	-104
269	hardcorenas_c	37.883	62.117	55.717	44.283	5.52	224	0.875	bilinear	-54.447	-42.623	+18
270	gluon_resnet50_v1c	37.843	62.157	54.123	45.877	25.58	224	0.875	bicubic	-55.067	-44.587	-16
271	res2net50_26w_4s	37.827	62.173	53.073	46.927	25.70	224	0.875	bilinear	-55.353	-45.597	-32
272	efficientnet_es	37.770	62.230	54.967	45.033	5.44	224	0.875	bicubic	-55.140	-43.723	-19
273	resnest14d	37.767	62.233	56.470	43.530	10.61	224	0.875	bilinear	-53.363	-41.860	+52
274	tv_resnext50_32x4d	37.750	62.250	54.113	45.887	25.03	224	0.875	bilinear	-55.150	-44.607	-16
275	ecaresnet26t	37.650	62.350	54.350	45.650	16.01	320	0.950	bicubic	-56.290	-44.570	-103
276	hardcorenas_d	37.550	62.450	54.723	45.277	7.50	224	0.875	bilinear	-55.050	-43.667	-1
277	res2next50	37.477	62.523	52.853	47.147	24.67	224	0.875	bilinear	-55.673	-45.807	-36
278	resnet34	37.443	62.557	54.297	45.703	21.80	224	0.875	bilinear	-53.757	-43.753	+42
279	pit_ti_distilled_224	37.337	62.663	55.137	44.863	5.10	224	0.900	bicubic	-53.563	-43.083	+51
280	hardcorenas_b	37.243	62.757	55.073	44.927	5.18	224	0.875	bilinear	-54.697	-43.327	+20
281	mobilenetv3_large_100_miil	37.210	62.790	53.513	46.487	5.48	224	0.875	bilinear	-55.040	-44.737	+10
282	res2net50_48w_2s	37.117	62.883	53.333	46.667	25.29	224	0.875	bilinear	-55.673	-45.137	-17
283	dla60	37.073	62.927	54.200	45.800	22.04	224	0.875	bilinear	-55.597	-44.430	-14
284	rexnet_100	37.063	62.937	54.020	45.980	4.80	224	0.875	bicubic	-55.787	-44.600	-22
285	regnety_016	37.017	62.983	54.093	45.907	11.20	224	0.875	bicubic	-55.983	-44.587	-37
286	tf_mixnet_l	36.987	63.013	52.583	47.417	7.33	224	0.875	bicubic	-56.053	-45.957	-44
287	legacy_seresnet50	36.873	63.127	53.487	46.513	28.09	224	0.875	bilinear	-55.797	-45.163	-17
288	tv_densenet121	36.810	63.190	54.033	45.967	7.98	224	0.875	bicubic	-54.590	-44.217	+26
289	tf_efficientnet_lite2	36.807	63.193	53.320	46.680	6.09	260	0.890	bicubic	-55.783	-45.230	-13
290	mobilenetv2_120d	36.780	63.220	54.047	45.953	5.83	224	0.875	bicubic	-55.830	-44.463	-18
291	tf_efficientnet_lite1	36.737	63.263	53.590	46.410	5.42	240	0.882	bicubic	-55.573	-44.900	-3
292	regnetx_016	36.683	63.317	53.297	46.703	9.19	224	0.875	bicubic	-55.857	-45.253	-12
293	hardcorenas_a	36.640	63.360	54.910	45.090	5.26	224	0.875	bilinear	-54.980	-43.260	+14
294	efficientnet_b0	36.600	63.400	53.497	46.503	5.29	224	0.875	bicubic	-55.880	-45.183	-13
295	tf_efficientnet_em	36.380	63.620	52.840	47.160	6.90	240	0.882	bicubic	-56.790	-45.830	-55
296	skresnet18	36.320	63.680	54.197	45.803	11.96	224	0.875	bicubic	-53.840	-43.583	+44
297	repvgg_b0	36.287	63.713	54.057	45.943	15.82	224	0.875	bilinear	-55.393	-44.393	+7
298	tv_resnet50	36.177	63.823	52.803	47.197	25.56	224	0.875	bilinear	-55.963	-45.617	-3
299	legacy_seresnet34	36.143	63.857	52.553	47.447	21.96	224	0.875	bilinear	-55.337	-45.767	+12
300	tv_resnet34	36.087	63.913	53.533	46.467	21.80	224	0.875	bilinear	-54.203	-44.447	+39
301	vit_deit_tiny_distilled_patch16_224	36.023	63.977	54.240	45.760	5.91	224	0.900	bicubic	-55.077	-44.030	+26
302	mobilenetv2_140	36.000	64.000	53.943	46.057	6.11	224	0.875	bicubic	-56.030	-44.307	-5
303	tf_efficientnet_lite0	35.930	64.070	53.480	46.520	4.65	224	0.875	bicubic	-55.370	-44.610	+13
304	selecsls42b	35.813	64.187	52.487	47.513	32.46	224	0.875	bicubic	-56.667	-45.953	-22
305	gluon_resnet34_v1b	35.760	64.240	52.187	47.813	21.80	224	0.875	bicubic	-55.340	-45.993	+21
306	dla34	35.643	64.357	52.783	47.217	15.74	224	0.875	bilinear	-55.597	-45.397	+13
307	mixnet_m	35.640	64.360	52.430	47.570	5.01	224	0.875	bicubic	-56.630	-45.920	-17
308	efficientnet_lite0	35.620	64.380	53.657	46.343	4.65	224	0.875	bicubic	-55.640	-44.593	+10
309	ssl_resnet18	35.597	64.403	53.740	46.260	11.69	224	0.875	bilinear	-55.103	-44.280	+24
310	mobilenetv3_rw	35.547	64.453	53.713	46.287	5.48	224	0.875	bicubic	-56.003	-44.557	-1
311	efficientnet_es_pruned	35.390	64.610	52.850	47.150	5.44	224	0.875	bicubic	-56.310	-45.570	-8
312	mobilenetv2_110d	35.293	64.707	52.830	47.170	4.52	224	0.875	bicubic	-56.057	-45.360	+3
313	tf_mixnet_m	35.180	64.820	50.987	49.013	5.01	224	0.875	bicubic	-57.020	-47.433	-19
314	hrnet_w18_small_v2	35.173	64.827	52.440	47.560	15.60	224	0.875	bilinear	-55.997	-45.900	+9
315	resnet18d	35.127	64.873	52.890	47.110	11.71	224	0.875	bicubic	-54.863	-44.940	+26
316	ese_vovnet19b_dw	34.840	65.160	52.030	47.970	6.54	224	0.875	bicubic	-57.170	-46.480	-18
317	regnety_008	34.807	65.193	51.743	48.257	6.26	224	0.875	bicubic	-57.093	-46.677	-16
318	pit_ti_224	34.670	65.330	52.170	47.830	4.85	224	0.900	bicubic	-55.750	-45.840	+19
319	mobilenetv3_large_100	34.603	65.397	52.860	47.140	5.48	224	0.875	bicubic	-56.877	-45.340	-9
320	seresnext26d_32x4d	34.543	65.457	51.543	48.457	16.81	224	0.875	bicubic	-57.897	-46.997	-36
321	seresnext26t_32x4d	34.540	65.460	51.377	48.623	16.81	224	0.875	bicubic	-58.280	-47.183	-57
322	mixer_b16_224	34.423	65.577	48.093	51.907	59.88	224	0.875	bicubic	-56.717	-49.307	+2
323	resnet26d	34.273	65.727	51.687	48.313	16.01	224	0.875	bicubic	-57.957	-46.763	-30
324	tf_efficientnet_es	34.263	65.737	51.350	48.650	5.44	224	0.875	bicubic	-57.837	-47.090	-28
325	fbnetc_100	34.253	65.747	51.180	48.820	5.57	224	0.875	bilinear	-57.017	-46.650	-8
326	regnety_006	34.150	65.850	51.277	48.723	6.06	224	0.875	bicubic	-57.420	-47.153	-18
327	tf_mobilenetv3_large_100	33.950	66.050	51.490	48.510	5.48	224	0.875	bilinear	-57.470	-46.770	-14
328	regnetx_008	33.770	66.230	50.547	49.453	7.26	224	0.875	bicubic	-57.410	-47.833	-6
329	mnasnet_100	33.763	66.237	51.170	48.830	4.38	224	0.875	bicubic	-57.437	-47.070	-8
330	semnasnet_100	33.520	66.480	50.787	49.213	3.89	224	0.875	bicubic	-58.140	-47.483	-24
331	resnet26	33.500	66.500	50.927	49.073	16.00	224	0.875	bicubic	-57.940	-47.353	-19
332	mixnet_s	33.480	66.520	50.997	49.003	4.13	224	0.875	bicubic	-58.300	-47.303	-30
333	spnasnet_100	33.477	66.523	51.267	48.733	4.42	224	0.875	bilinear	-57.133	-46.683	+1
334	vgg19_bn	33.230	66.770	50.803	49.197	143.68	224	0.875	bilinear	-57.760	-47.307	-5
335	ghostnet_100	33.207	66.793	51.163	48.837	5.18	224	0.875	bilinear	-57.233	-46.667	+1
336	regnetx_006	33.157	66.843	50.250	49.750	6.20	224	0.875	bicubic	-57.603	-47.850	-4
337	resnet18	33.067	66.933	51.170	48.830	11.69	224	0.875	bilinear	-55.083	-45.950	+17
338	legacy_seresnext26_32x4d	32.757	67.243	49.237	50.763	16.79	224	0.875	bicubic	-59.813	-49.183	-61
339	hrnet_w18_small	32.667	67.333	50.587	49.413	13.19	224	0.875	bilinear	-57.213	-47.313	+3
340	vit_deit_tiny_patch16_224	32.667	67.333	50.273	49.727	5.72	224	0.900	bicubic	-56.953	-47.687	+5
341	legacy_seresnet18	32.600	67.400	50.340	49.660	11.78	224	0.875	bicubic	-56.670	-47.340	+7
342	mobilenetv2_100	32.523	67.477	50.800	49.200	3.50	224	0.875	bicubic	-57.307	-47.030	+1
343	regnetx_004	32.517	67.483	49.343	50.657	5.16	224	0.875	bicubic	-56.943	-48.427	+3
344	gluon_resnet18_v1b	32.407	67.593	49.727	50.273	11.69	224	0.875	bicubic	-56.253	-47.373	+7
345	regnety_004	32.333	67.667	49.453	50.547	4.34	224	0.875	bicubic	-58.447	-48.627	-14
346	tf_mixnet_s	32.183	67.817	48.493	51.507	4.13	224	0.875	bicubic	-59.497	-49.747	-41
347	tf_mobilenetv3_large_075	31.867	68.133	49.110	50.890	3.99	224	0.875	bilinear	-58.453	-48.760	-9
348	tf_mobilenetv3_large_minimal_100	31.597	68.403	49.337	50.663	3.92	224	0.875	bilinear	-57.583	-47.983	+2
349	vgg16_bn	30.357	69.643	47.260	52.740	138.37	224	0.875	bilinear	-60.183	-50.730	-14
350	regnety_002	29.687	70.313	46.787	53.213	3.16	224	0.875	bicubic	-58.513	-50.643	+3
351	vgg13_bn	28.883	71.117	46.737	53.263	133.05	224	0.875	bilinear	-60.317	-50.793	-2
352	regnetx_002	28.860	71.140	45.420	54.580	2.68	224	0.875	bicubic	-58.520	-51.570	+4
353	vgg19	28.580	71.420	45.170	54.830	143.67	224	0.875	bilinear	-61.100	-52.380	-9
354	dla60x_c	28.447	71.553	46.193	53.807	1.32	224	0.875	bilinear	-58.663	-50.947	+4
355	vgg11_bn	28.423	71.577	46.453	53.547	132.87	224	0.875	bilinear	-59.967	-50.817	-3
356	vgg16	27.877	72.123	44.673	55.327	138.36	224	0.875	bilinear	-61.483	-52.847	-9
357	tf_mobilenetv3_small_100	27.297	72.703	44.420	55.580	2.54	224	0.875	bilinear	-58.663	-51.980	+3
358	mixer_l16_224	26.853	73.147	37.923	62.077	208.20	224	0.875	bicubic	-60.117	-56.137	+1
359	vgg11	26.533	73.467	43.460	56.540	132.86	224	0.875	bilinear	-60.807	-53.650	-2
360	vgg13	26.267	73.733	43.370	56.630	133.05	224	0.875	bilinear	-61.303	-53.750	-5
361	dla46x_c	26.217	73.783	43.780	56.220	1.07	224	0.875	bilinear	-59.263	-52.660	0
362	tf_mobilenetv3_small_075	26.200	73.800	43.637	56.363	2.04	224	0.875	bilinear	-58.330	-52.253	+1
363	dla46_c	25.490	74.510	43.800	56.200	1.30	224	0.875	bilinear	-59.170	-52.400	-1
364	tf_mobilenetv3_small_minimal_100	25.087	74.913	42.930	57.070	2.04	224	0.875	bilinear	-57.583	-52.070	0