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	84.733	15.267	96.107	3.893	480.31	800	0.960	bicubic	-13.797	-3.713	0
3	tf_efficientnet_l2_ns_475	83.520	16.480	95.453	4.547	480.31	475	0.936	bicubic	-15.010	-4.387	0
4	tf_efficientnet_b7_ns	67.093	32.907	88.640	11.360	66.35	600	0.949	bicubic	-30.827	-11.080	0
5	tf_efficientnet_b6_ns	62.293	37.707	85.160	14.840	43.04	528	0.942	bicubic	-35.337	-14.430	+1
6	dm_nfnet_f6	62.253	37.747	84.653	15.347	438.36	576	0.956	bicubic	-35.487	-14.927	-1
7	dm_nfnet_f5	61.653	38.347	84.027	15.973	377.21	544	0.954	bicubic	-35.927	-15.523	+1
8	ig_resnext101_32x48d	60.853	39.147	83.240	16.760	828.41	224	0.875	bilinear	-36.727	-16.450	+1
9	resnetv2_152x4_bitm	60.640	39.360	83.533	16.467	936.53	480	1.000	bilinear	-36.830	-16.067	+2
10	dm_nfnet_f4	60.600	39.400	83.453	16.547	316.07	512	0.951	bicubic	-36.980	-16.077	-3
11	tf_efficientnet_b5_ns	60.280	39.720	84.533	15.467	30.39	456	0.934	bicubic	-37.220	-15.117	-1
12	dm_nfnet_f3	58.213	41.787	82.373	17.627	254.92	416	0.940	bicubic	-39.187	-17.217	0
13	ig_resnext101_32x32d	57.960	42.040	80.920	19.080	468.53	224	0.875	bilinear	-39.360	-18.740	0
14	resnetv2_152x2_bitm	54.867	45.133	82.800	17.200	236.34	480	1.000	bilinear	-42.293	-16.780	+4
15	vit_base_resnet50_384	54.627	45.373	81.307	18.693	98.95	384	1.000	bicubic	-42.563	-18.253	+2
16	resnetv2_101x3_bitm	53.813	46.187	81.107	18.893	387.93	480	1.000	bilinear	-43.227	-18.413	+7
17	vit_large_patch16_384	53.760	46.240	80.347	19.653	304.72	384	1.000	bicubic	-43.370	-19.293	+3
18	ig_resnext101_32x16d	53.520	46.480	77.347	22.653	194.03	224	0.875	bilinear	-43.300	-22.263	+11
19	swsl_resnext101_32x8d	51.373	48.627	78.347	21.653	88.79	224	0.875	bilinear	-45.827	-21.193	-3
20	tf_efficientnet_b4_ns	51.067	48.933	79.360	20.640	19.34	380	0.922	bicubic	-45.893	-20.240	+5
21	dm_nfnet_f2	50.680	49.320	78.000	22.000	193.78	352	0.920	bicubic	-46.210	-21.450	+7
22	vit_base_patch16_384	50.533	49.467	78.240	21.760	86.86	384	1.000	bicubic	-46.207	-21.240	+10
23	vit_deit_base_distilled_patch16_384	49.280	50.720	79.240	20.760	87.63	384	1.000	bicubic	-47.680	-20.250	+3
24	tf_efficientnet_b8	48.853	51.147	77.213	22.787	87.41	672	0.954	bicubic	-48.377	-22.287	-10
25	resnest269e	47.987	52.013	74.480	25.520	110.93	416	0.928	bicubic	-48.563	-24.870	+13
26	resnetv2_50x3_bitm	47.880	52.120	77.573	22.427	217.32	480	1.000	bilinear	-48.890	-21.857	+5
27	tf_efficientnet_b8_ap	46.880	53.120	76.560	23.440	87.41	672	0.954	bicubic	-50.220	-23.100	-5
28	dm_nfnet_f1	46.707	53.293	74.840	25.160	132.63	320	0.910	bicubic	-50.223	-24.540	-1
29	swsl_resnext101_32x16d	46.147	53.853	72.013	27.987	194.03	224	0.875	bilinear	-50.463	-27.507	+7
30	ecaresnet269d	45.920	54.080	75.253	24.747	102.09	352	1.000	bicubic	-51.220	-24.207	-11
31	tf_efficientnet_b7_ap	45.347	54.653	74.187	25.813	66.35	600	0.949	bicubic	-51.863	-25.363	-16
32	ig_resnext101_32x8d	45.173	54.827	71.240	28.760	88.79	224	0.875	bilinear	-51.097	-28.170	+12
33	resnest200e	44.107	55.893	73.693	26.307	70.20	320	0.909	bicubic	-52.443	-25.627	+4
34	tresnet_xl_448	43.533	56.467	72.427	27.573	78.44	448	0.875	bilinear	-52.397	-26.733	+17
35	tf_efficientnet_b7	43.013	56.987	73.200	26.800	66.35	600	0.949	bicubic	-53.997	-26.320	-11
36	swsl_resnext101_32x4d	41.347	58.653	71.480	28.520	44.18	224	0.875	bilinear	-55.053	-27.970	+3
37	tf_efficientnet_b6_ap	40.840	59.160	71.653	28.347	43.04	528	0.942	bicubic	-56.270	-27.957	-16
38	vit_deit_base_patch16_384	40.187	59.813	70.787	29.213	86.86	384	1.000	bicubic	-55.983	-28.353	+7
39	tresnet_l_448	40.160	59.840	69.987	30.013	55.99	448	0.875	bilinear	-55.690	-29.153	+16
40	resnetv2_101x1_bitm	39.360	60.640	71.480	28.520	44.54	480	1.000	bilinear	-56.730	-27.830	+9
41	vit_large_patch32_384	38.867	61.133	68.813	31.187	306.63	384	1.000	bicubic	-56.943	-30.337	+16
42	resnet200d	38.267	61.733	68.573	31.427	64.69	320	1.000	bicubic	-58.453	-30.767	-9
43	seresnet152d	37.587	62.413	69.573	30.427	66.84	320	1.000	bicubic	-59.223	-29.877	-13
44	tf_efficientnet_b3_ns	35.653	64.347	67.853	32.147	12.23	300	0.904	bicubic	-60.727	-31.487	-4
45	vit_large_patch16_224	35.600	64.400	64.333	35.667	304.33	224	0.900	bicubic	-60.340	-34.887	+5
46	tf_efficientnet_b6	35.253	64.747	67.773	32.227	43.04	528	0.942	bicubic	-61.437	-31.597	-12
47	tf_efficientnet_b5_ap	34.800	65.200	67.467	32.533	30.39	456	0.934	bicubic	-61.870	-32.003	-12
48	resnet152d	34.320	65.680	65.960	34.040	60.21	320	1.000	bicubic	-62.030	-33.360	-6
49	tresnet_m_448	34.000	66.000	64.507	35.493	31.39	448	0.875	bilinear	-60.980	-34.483	+37
50	vit_base_patch32_384	33.640	66.360	65.173	34.827	88.30	384	1.000	bicubic	-62.180	-33.977	+6
51	swsl_resnext50_32x4d	33.467	66.533	65.227	34.773	25.03	224	0.875	bilinear	-62.433	-34.023	+2
52	ssl_resnext101_32x16d	32.320	67.680	63.720	36.280	194.03	224	0.875	bilinear	-63.320	-35.410	+10
53	vit_base_patch16_224	32.187	67.813	61.627	38.373	86.57	224	0.900	bicubic	-63.173	-37.373	+18
54	tf_efficientnet_b5	31.867	68.133	65.293	34.707	30.39	456	0.934	bicubic	-64.483	-34.077	-13
55	resnest101e	31.307	68.693	64.453	35.547	48.28	256	0.875	bilinear	-64.603	-34.727	-3
56	dm_nfnet_f0	31.133	68.867	63.373	36.627	71.49	256	0.900	bicubic	-65.007	-35.867	-9
57	swsl_resnet50	29.973	70.027	64.120	35.880	25.56	224	0.875	bilinear	-65.577	-35.140	+6
58	vit_deit_base_distilled_patch16_224	29.453	70.547	64.307	35.693	87.34	224	0.900	bicubic	-66.657	-34.873	-10
59	ssl_resnext101_32x8d	29.240	70.760	61.093	38.907	88.79	224	0.875	bilinear	-66.200	-38.047	+9
60	resnet101d	29.053	70.947	62.107	37.893	44.57	320	1.000	bicubic	-67.247	-37.133	-17
61	resnetv2_50x1_bitm	27.440	72.560	63.533	36.467	25.55	480	1.000	bilinear	-67.590	-35.637	+21
62	vit_deit_base_patch16_224	27.333	72.667	58.840	41.160	86.57	224	0.900	bicubic	-68.107	-39.980	+7
63	tf_efficientnet_b4_ap	26.333	73.667	60.067	39.933	19.34	380	0.922	bicubic	-69.817	-39.183	-17
64	tf_efficientnet_b4	26.213	73.787	60.267	39.733	19.34	380	0.922	bicubic	-69.657	-38.873	-10
65	ecaresnet50t	26.173	73.827	59.907	40.093	25.57	320	0.950	bicubic	-69.347	-39.203	-1
66	ecaresnet101d	26.053	73.947	58.893	41.107	44.57	224	0.875	bicubic	-69.437	-40.197	0
67	tf_efficientnet_b2_ns	24.147	75.853	57.000	43.000	9.11	260	0.890	bicubic	-71.603	-42.150	-9
68	ssl_resnext101_32x4d	24.053	75.947	57.387	42.613	44.18	224	0.875	bilinear	-71.457	-41.673	-3
69	pnasnet5large	23.547	76.453	53.427	46.573	86.06	331	0.911	bicubic	-72.143	-45.523	-9
70	nasnetalarge	23.480	76.520	55.053	44.947	88.75	331	0.911	bicubic	-72.210	-43.847	-9
71	efficientnet_b3	23.373	76.627	56.467	43.533	12.23	300	0.904	bicubic	-72.047	-42.633	-1
72	efficientnet_b3a	23.200	76.800	55.960	44.040	12.23	320	1.000	bicubic	-72.520	-43.090	-13
73	regnety_032	21.747	78.253	55.133	44.867	19.44	224	0.875	bicubic	-73.433	-44.007	+1
74	vit_deit_small_distilled_patch16_224	20.773	79.227	55.173	44.827	22.44	224	0.900	bicubic	-73.947	-43.857	+19
75	resnest50d_4s2x40d	20.507	79.493	52.800	47.200	30.42	224	0.875	bicubic	-74.533	-46.190	+6
76	ssl_resnext50_32x4d	20.093	79.907	53.573	46.427	25.03	224	0.875	bilinear	-74.837	-45.277	+14
77	tresnet_xl	19.613	80.387	52.813	47.187	78.44	224	0.875	bilinear	-75.857	-46.327	-10
78	rexnet_200	19.333	80.667	52.387	47.613	16.37	224	0.875	bicubic	-75.667	-46.583	+6
79	gluon_senet154	19.293	80.707	47.560	52.440	115.09	224	0.875	bicubic	-75.657	-51.180	+9
80	repvgg_b3	19.093	80.907	49.787	50.213	123.09	224	0.875	bilinear	-75.457	-48.963	+29
81	legacy_senet154	19.080	80.920	48.280	51.720	115.09	224	0.875	bilinear	-75.890	-50.590	+6
82	vit_deit_small_patch16_224	18.933	81.067	51.080	48.920	22.05	224	0.900	bicubic	-75.417	-47.590	+41
83	gluon_seresnext101_64x4d	18.893	81.107	49.107	50.893	88.23	224	0.875	bicubic	-75.987	-49.733	+8
84	tf_efficientnet_b1_ns	18.667	81.333	51.613	48.387	7.79	240	0.882	bicubic	-76.513	-47.467	-9
85	ecaresnet50d	18.653	81.347	51.893	48.107	25.58	224	0.875	bicubic	-75.957	-46.947	+19
86	seresnext50_32x4d	18.400	81.600	50.987	49.013	27.56	224	0.875	bicubic	-76.680	-47.923	-7
87	tf_efficientnet_lite4	17.973	82.027	51.240	48.760	13.01	380	0.920	bilinear	-77.007	-47.750	-2
88	resnest50d_1s4x24d	17.640	82.360	49.813	50.187	25.68	224	0.875	bicubic	-77.020	-49.187	+10
89	tf_efficientnet_b3_ap	17.187	82.813	49.867	50.133	12.23	300	0.904	bicubic	-78.123	-49.073	-17
90	resnest50d	17.173	82.827	50.600	49.400	27.48	224	0.875	bilinear	-77.497	-48.190	+6
91	gluon_resnext101_64x4d	17.133	82.867	44.400	55.600	83.46	224	0.875	bicubic	-77.417	-54.240	+17
92	gluon_seresnext101_32x4d	17.133	82.867	46.773	53.227	48.96	224	0.875	bicubic	-77.807	-51.957	-3
93	inception_v4	17.133	82.867	45.853	54.147	42.68	299	0.875	bicubic	-77.227	-52.707	+29
94	xception71	17.027	82.973	45.427	54.573	42.34	299	0.903	bicubic	-77.253	-53.193	+36
95	tf_efficientnet_b3	16.907	83.093	49.707	50.293	12.23	300	0.904	bicubic	-78.113	-49.193	-12
96	inception_resnet_v2	16.720	83.280	44.893	55.107	55.84	299	0.897	bicubic	-77.770	-54.057	+16
97	tresnet_l	16.680	83.320	50.040	49.960	55.99	224	0.875	bilinear	-78.500	-48.970	-21
98	wide_resnet50_2	16.653	83.347	48.787	51.213	68.88	224	0.875	bicubic	-78.387	-50.303	-18
99	gluon_resnet152_v1d	16.600	83.400	44.520	55.480	60.21	224	0.875	bicubic	-78.060	-54.260	-2
100	gluon_resnet152_v1s	16.587	83.413	44.693	55.307	60.32	224	0.875	bicubic	-78.523	-54.237	-23
101	gernet_l	16.360	83.640	47.333	52.667	31.08	256	0.875	bilinear	-78.830	-51.537	-28
102	gluon_xception65	16.333	83.667	46.147	53.853	39.92	299	0.903	bicubic	-77.917	-52.443	+30
103	ens_adv_inception_resnet_v2	16.133	83.867	43.627	56.373	55.84	299	0.897	bicubic	-78.027	-54.893	+39
104	xception65	16.040	83.960	43.787	56.213	39.92	299	0.903	bicubic	-77.720	-54.563	+63
105	repvgg_b3g4	15.960	84.040	48.013	51.987	83.83	224	0.875	bilinear	-78.530	-50.757	+6
106	ssl_resnet50	15.867	84.133	49.360	50.640	25.56	224	0.875	bilinear	-78.563	-49.510	+11
107	ecaresnet101d_pruned	15.507	84.493	47.813	52.187	24.88	224	0.875	bicubic	-79.573	-51.147	-29
108	ecaresnet26t	15.453	84.547	47.853	52.147	16.01	320	0.950	bicubic	-78.867	-50.857	+19
109	regnety_320	15.440	84.560	44.800	55.200	145.05	224	0.875	bicubic	-79.170	-54.070	-6
110	skresnext50_32x4d	15.107	84.893	44.747	55.253	27.48	224	0.875	bicubic	-79.093	-53.713	+26
111	ecaresnetlight	15.107	84.893	45.827	54.173	30.16	224	0.875	bicubic	-79.583	-52.973	-16
112	rexnet_150	14.800	85.200	46.693	53.307	9.73	224	0.875	bicubic	-79.600	-51.917	+9
113	efficientnet_b2a	14.400	85.600	46.107	53.893	9.11	288	1.000	bicubic	-80.220	-52.673	-11
114	seresnet50	14.360	85.640	45.613	54.387	28.09	224	0.875	bicubic	-80.140	-53.097	-4
115	legacy_seresnext101_32x4d	14.307	85.693	43.200	56.800	48.96	224	0.875	bilinear	-80.123	-55.380	0
116	gluon_resnext101_32x4d	14.080	85.920	41.893	58.107	44.18	224	0.875	bicubic	-80.550	-56.737	-16
117	gernet_m	13.827	86.173	46.067	53.933	21.14	224	0.875	bilinear	-80.843	-52.773	-22
118	efficientnet_b2	13.627	86.373	44.840	55.160	9.11	260	0.875	bicubic	-80.933	-53.880	-11
119	gluon_seresnext50_32x4d	13.507	86.493	43.773	56.227	27.56	224	0.875	bicubic	-80.803	-54.817	+9
120	ese_vovnet39b	13.360	86.640	43.760	56.240	24.57	224	0.875	bicubic	-80.800	-54.780	+24
121	repvgg_b2g4	13.360	86.640	43.667	56.333	61.76	224	0.875	bilinear	-80.560	-54.933	+36
122	mixnet_xl	13.253	86.747	43.440	56.560	11.90	224	0.875	bicubic	-80.937	-54.910	+16
123	efficientnet_b3_pruned	13.213	86.787	45.347	54.653	9.86	300	0.904	bicubic	-81.417	-53.423	-24
124	nf_regnet_b1	13.107	86.893	44.360	55.640	10.22	288	0.900	bicubic	-81.033	-54.240	+21
125	gluon_resnet101_v1d	13.093	86.907	41.573	58.427	44.57	224	0.875	bicubic	-81.177	-57.067	+6
126	regnetx_320	12.907	87.093	40.547	59.453	107.81	224	0.875	bicubic	-81.433	-58.263	-2
127	gluon_inception_v3	12.627	87.373	40.387	59.613	23.83	299	0.875	bicubic	-80.833	-58.213	+57
128	regnety_160	12.600	87.400	41.400	58.600	83.59	224	0.875	bicubic	-81.810	-57.480	-9
129	regnety_120	12.440	87.560	42.147	57.853	51.82	224	0.875	bicubic	-81.990	-56.723	-13
130	efficientnet_em	12.387	87.613	43.907	56.093	6.90	240	0.882	bicubic	-81.513	-54.633	+29
131	nf_resnet50	12.360	87.640	46.747	53.253	25.56	288	0.940	bicubic	-82.260	-51.983	-30
132	tresnet_m	12.293	87.707	42.173	57.827	31.39	224	0.875	bilinear	-82.307	-56.387	-27
133	vit_small_patch16_224	12.093	87.907	40.213	59.787	48.75	224	0.900	bicubic	-80.637	-57.707	+89
134	hrnet_w64	11.987	88.013	40.973	59.027	128.06	224	0.875	bilinear	-82.043	-57.517	+15
135	cspdarknet53	11.947	88.053	43.147	56.853	27.64	256	0.887	bilinear	-82.643	-55.633	-29
136	gluon_resnet101_v1s	11.920	88.080	40.493	59.507	44.67	224	0.875	bicubic	-82.830	-58.397	-44
137	resnet50d	11.760	88.240	42.560	57.440	25.58	224	0.875	bicubic	-82.580	-56.170	-12
138	xception41	11.653	88.347	39.107	60.893	26.97	299	0.903	bicubic	-81.807	-59.303	+47
139	dla102x2	11.547	88.453	41.080	58.920	41.28	224	0.875	bilinear	-82.393	-57.480	+14
140	regnety_080	11.453	88.547	40.880	59.120	39.18	224	0.875	bicubic	-82.707	-57.750	0
141	efficientnet_b2_pruned	11.360	88.640	41.867	58.133	8.31	260	0.890	bicubic	-82.730	-56.653	+7
142	dpn92	11.253	88.747	40.293	59.707	37.67	224	0.875	bicubic	-82.957	-58.437	-6
143	ecaresnet50d_pruned	11.253	88.747	42.160	57.840	19.94	224	0.875	bicubic	-83.027	-56.630	-14
144	tf_efficientnet_el	11.200	88.800	42.200	57.800	10.59	300	0.904	bicubic	-83.220	-56.550	-26
145	adv_inception_v3	11.040	88.960	36.840	63.160	23.83	299	0.875	bicubic	-81.850	-61.330	+68
146	dpn107	11.027	88.973	38.667	61.333	86.92	224	0.875	bicubic	-83.303	-59.863	-20
147	hrnet_w48	11.027	88.973	40.693	59.307	77.47	224	0.875	bilinear	-82.803	-57.937	+17
148	tf_inception_v3	10.920	89.080	37.027	62.973	23.83	299	0.875	bicubic	-82.350	-61.023	+50
149	tf_efficientnet_b0_ns	10.880	89.120	40.307	59.693	5.29	224	0.875	bicubic	-82.640	-58.313	+32
150	gluon_resnet152_v1c	10.800	89.200	37.067	62.933	60.21	224	0.875	bicubic	-83.380	-61.573	-11
151	resnext50_32x4d	10.787	89.213	40.667	59.333	25.03	224	0.875	bicubic	-83.223	-57.723	-1
152	rexnet_130	10.720	89.280	41.560	58.440	7.56	224	0.875	bicubic	-83.120	-56.840	+11
153	dpn131	10.640	89.360	37.440	62.560	79.25	224	0.875	bicubic	-83.240	-61.300	+7
154	hrnet_w44	10.547	89.453	39.467	60.533	67.06	224	0.875	bilinear	-83.113	-59.223	+20
155	tf_efficientnet_b2_ap	10.493	89.507	39.813	60.187	9.11	260	0.890	bicubic	-83.967	-58.827	-42
156	resnext50d_32x4d	10.480	89.520	39.907	60.093	25.05	224	0.875	bicubic	-83.680	-58.783	-15
157	legacy_seresnext50_32x4d	10.347	89.653	39.027	60.973	27.56	224	0.875	bilinear	-83.393	-59.483	+12
158	regnety_064	10.227	89.773	39.320	60.680	30.58	224	0.875	bicubic	-84.003	-59.430	-24
159	dpn98	10.147	89.853	36.587	63.413	61.57	224	0.875	bicubic	-83.953	-61.993	-12
160	xception	10.133	89.867	38.013	61.987	22.86	299	0.897	bicubic	-83.247	-60.507	+32
161	gluon_resnet152_v1b	10.120	89.880	35.853	64.147	60.19	224	0.875	bicubic	-84.040	-62.847	-18
162	resnext101_32x8d	10.027	89.973	37.720	62.280	88.79	224	0.875	bilinear	-83.833	-60.930	0
163	regnetx_160	9.973	90.027	38.120	61.880	54.28	224	0.875	bicubic	-84.247	-60.680	-28
164	cspresnext50	9.920	90.080	40.267	59.733	20.57	224	0.875	bilinear	-84.520	-58.453	-50
165	inception_v3	9.920	90.080	35.320	64.680	23.83	299	0.875	bicubic	-82.790	-62.640	+58
166	dpn68b	9.813	90.187	38.213	61.787	12.61	224	0.875	bicubic	-83.787	-60.297	+11
167	res2net101_26w_4s	9.707	90.293	35.027	64.973	45.21	224	0.875	bilinear	-83.943	-63.373	+9
168	tf_efficientnet_b2	9.667	90.333	39.000	61.000	9.11	260	0.890	bicubic	-84.733	-59.820	-48
169	tf_efficientnet_cc_b1_8e	9.573	90.427	36.880	63.120	39.72	240	0.882	bicubic	-84.387	-61.360	-17
170	legacy_seresnet152	9.507	90.493	37.400	62.600	66.82	224	0.875	bilinear	-83.823	-60.980	+24
171	tf_efficientnet_lite3	9.373	90.627	39.267	60.733	8.20	300	0.904	bilinear	-84.867	-59.363	-38
172	cspresnet50	9.213	90.787	39.747	60.253	21.62	256	0.887	bilinear	-84.537	-58.923	-4
173	gluon_resnext50_32x4d	9.173	90.827	36.613	63.387	25.03	224	0.875	bicubic	-84.547	-61.857	-3
174	seresnext26d_32x4d	9.160	90.840	37.000	63.000	16.81	224	0.875	bicubic	-83.520	-61.130	+53
175	efficientnet_b1	9.147	90.853	37.360	62.640	7.79	240	0.875	bicubic	-84.103	-60.810	+24
176	hrnet_w40	9.120	90.880	37.147	62.853	57.56	224	0.875	bilinear	-84.330	-61.423	+10
177	seresnext26t_32x4d	9.040	90.960	36.813	63.187	16.81	224	0.875	bicubic	-83.660	-61.567	+47
178	rexnet_100	9.027	90.973	36.533	63.467	4.80	224	0.875	bicubic	-84.053	-61.617	+28
179	regnetx_120	9.013	90.987	37.173	62.827	46.11	224	0.875	bicubic	-85.107	-61.567	-33
180	resnest26d	8.880	91.120	37.853	62.147	17.07	224	0.875	bilinear	-84.560	-60.847	+8
181	regnety_040	8.787	91.213	36.707	63.293	20.65	224	0.875	bicubic	-85.143	-61.983	-26
182	legacy_seresnet101	8.733	91.267	35.840	64.160	49.33	224	0.875	bilinear	-84.547	-62.630	+15
183	mixnet_l	8.693	91.307	36.333	63.667	7.33	224	0.875	bicubic	-84.747	-62.267	+6
184	hrnet_w30	8.587	91.413	37.453	62.547	37.71	224	0.875	bilinear	-84.543	-60.947	+20
185	tf_efficientnet_b1_ap	8.520	91.480	35.213	64.787	7.79	240	0.882	bicubic	-85.180	-63.157	-12
186	repvgg_b2	8.440	91.560	36.320	63.680	89.02	224	0.875	bilinear	-85.000	-61.950	+1
187	dla169	8.360	91.640	36.040	63.960	53.39	224	0.875	bilinear	-85.030	-62.510	+4
188	resnetblur50	8.200	91.800	36.920	63.080	25.56	224	0.875	bicubic	-85.780	-61.600	-37
189	dla102x	8.187	91.813	36.907	63.093	26.31	224	0.875	bilinear	-85.373	-61.653	-11
190	hrnet_w32	8.120	91.880	37.507	62.493	41.23	224	0.875	bilinear	-85.350	-60.883	-7
191	res2net50_26w_8s	8.053	91.947	34.093	65.907	48.40	224	0.875	bilinear	-85.597	-64.177	-16
192	gluon_resnet101_v1c	8.000	92.000	32.853	67.147	44.57	224	0.875	bicubic	-85.790	-65.547	-27
193	gluon_resnet50_v1d	7.947	92.053	35.093	64.907	25.58	224	0.875	bicubic	-85.763	-63.297	-22
194	vit_deit_tiny_distilled_patch16_224	7.853	92.147	33.747	66.253	5.91	224	0.900	bicubic	-82.817	-63.813	+86
195	dla60_res2next	7.827	92.173	34.773	65.227	17.03	224	0.875	bilinear	-85.343	-63.657	+7
196	densenetblur121d	7.600	92.400	34.173	65.827	8.00	224	0.875	bicubic	-84.150	-63.927	+61
197	dla60_res2net	7.573	92.427	34.733	65.267	20.85	224	0.875	bilinear	-85.617	-63.657	+4
198	wide_resnet101_2	7.560	92.440	34.493	65.507	126.89	224	0.875	bilinear	-86.320	-64.077	-37
199	efficientnet_b1_pruned	7.480	92.520	34.467	65.533	6.33	240	0.882	bicubic	-85.280	-63.573	+22
200	regnetx_064	7.427	92.573	34.120	65.880	26.21	224	0.875	bicubic	-86.513	-64.550	-46
201	gluon_resnet101_v1b	7.320	92.680	32.627	67.373	44.55	224	0.875	bicubic	-86.440	-65.843	-35
202	vit_deit_tiny_patch16_224	7.240	92.760	30.707	69.293	5.72	224	0.900	bicubic	-82.410	-66.733	+89
203	gluon_resnet50_v1s	7.147	92.853	33.267	66.733	25.68	224	0.875	bicubic	-86.553	-65.203	-31
204	tf_efficientnet_cc_b0_8e	7.133	92.867	31.800	68.200	24.01	224	0.875	bicubic	-85.687	-66.460	+12
205	tf_efficientnet_b1	7.093	92.907	33.027	66.973	7.79	240	0.882	bicubic	-86.397	-65.313	-23
206	efficientnet_b0	7.000	93.000	34.213	65.787	5.29	224	0.875	bicubic	-85.550	-63.867	+27
207	tf_mixnet_l	6.947	93.053	31.800	68.200	7.33	224	0.875	bicubic	-86.413	-66.240	-14
208	ese_vovnet19b_dw	6.827	93.173	33.093	66.907	6.54	224	0.875	bicubic	-85.473	-64.987	+33
209	res2net50_26w_6s	6.787	93.213	31.907	68.093	37.05	224	0.875	bilinear	-86.743	-66.523	-29
210	resnet34d	6.733	93.267	31.760	68.240	21.82	224	0.875	bicubic	-86.037	-66.500	+9
211	selecsls60b	6.693	93.307	33.453	66.547	32.77	224	0.875	bicubic	-86.607	-64.857	-15
212	mixnet_m	6.667	93.333	32.200	67.800	5.01	224	0.875	bicubic	-85.783	-65.670	+25
213	efficientnet_es	6.627	93.373	34.333	65.667	5.44	224	0.875	bicubic	-86.443	-64.147	-6
214	skresnet34	6.627	93.373	31.560	68.440	22.28	224	0.875	bicubic	-85.783	-66.660	+24
215	legacy_seresnext26_32x4d	6.600	93.400	33.253	66.747	16.79	224	0.875	bicubic	-85.920	-64.897	+19
216	dla60x	6.560	93.440	33.680	66.320	17.35	224	0.875	bilinear	-86.570	-64.840	-13
217	repvgg_b1	6.547	93.453	33.760	66.240	57.42	224	0.875	bilinear	-86.863	-64.770	-27
218	regnetx_080	6.347	93.653	32.253	67.747	39.57	224	0.875	bicubic	-87.553	-66.567	-60
219	tv_resnet152	6.240	93.760	32.440	67.560	60.19	224	0.875	bilinear	-87.090	-65.930	-24
220	legacy_seresnet50	6.213	93.787	32.760	67.240	28.09	224	0.875	bilinear	-86.797	-65.420	-10
221	swsl_resnet18	6.120	93.880	31.680	68.320	11.69	224	0.875	bilinear	-84.650	-66.090	+58
222	tf_efficientnet_cc_b0_4e	6.027	93.973	29.587	70.413	13.31	224	0.875	bicubic	-86.533	-68.553	+10
223	dla102	6.000	94.000	32.867	67.133	33.27	224	0.875	bilinear	-87.090	-65.623	-18
224	res2next50	5.907	94.093	30.827	69.173	24.67	224	0.875	bilinear	-86.983	-67.363	-10
225	resnet50	5.867	94.133	28.893	71.107	25.56	224	0.875	bicubic	-88.063	-69.447	-69
226	regnetx_040	5.667	94.333	31.653	68.347	22.12	224	0.875	bicubic	-87.883	-66.807	-47
227	selecsls60	5.613	94.387	32.427	67.573	30.67	224	0.875	bicubic	-87.347	-65.793	-16
228	regnety_016	5.453	94.547	30.507	69.493	11.20	224	0.875	bicubic	-87.797	-67.893	-28
229	hrnet_w18	5.440	94.560	31.160	68.840	21.30	224	0.875	bilinear	-86.880	-67.150	+11
230	resnest14d	5.400	94.600	28.747	71.253	10.61	224	0.875	bilinear	-86.130	-69.203	+29
231	tf_efficientnet_em	5.400	94.600	31.133	68.867	6.90	240	0.882	bicubic	-87.540	-67.057	-19
232	res2net50_14w_8s	5.347	94.653	28.960	71.040	25.06	224	0.875	bilinear	-87.453	-69.210	-14
233	tf_efficientnet_lite2	5.320	94.680	30.893	69.107	6.09	260	0.890	bicubic	-87.370	-67.327	-8
234	repvgg_b1g4	5.253	94.747	30.733	69.267	39.97	224	0.875	bilinear	-87.567	-67.647	-19
235	tf_efficientnet_b0_ap	5.240	94.760	28.947	71.053	5.29	224	0.875	bicubic	-86.940	-69.103	+8
236	densenet121	5.240	94.760	29.827	70.173	7.98	224	0.875	bicubic	-86.460	-68.183	+23
237	tf_mixnet_m	5.133	94.867	28.200	71.800	5.01	224	0.875	bicubic	-87.247	-69.710	+2
238	res2net50_26w_4s	5.107	94.893	29.293	70.707	25.70	224	0.875	bilinear	-87.373	-68.847	-3
239	gernet_s	5.080	94.920	30.480	69.520	8.17	224	0.875	bilinear	-86.880	-67.730	+13
240	regnetx_032	5.053	94.947	30.360	69.640	15.30	224	0.875	bicubic	-88.007	-67.980	-32
241	tf_efficientnet_b0	5.000	95.000	28.667	71.333	5.29	224	0.875	bicubic	-87.260	-69.233	+1
242	mobilenetv3_large_100	4.920	95.080	28.427	71.573	5.48	224	0.875	bicubic	-86.200	-69.273	+27
243	gluon_resnet50_v1c	4.907	95.093	28.120	71.880	25.58	224	0.875	bicubic	-88.123	-70.210	-34
244	mobilenetv3_rw	4.853	95.147	30.213	69.787	5.48	224	0.875	bicubic	-86.347	-67.437	+21
245	mixnet_s	4.840	95.160	28.533	71.467	4.13	224	0.875	bicubic	-86.990	-69.157	+10
246	densenet161	4.840	95.160	29.613	70.387	28.68	224	0.875	bicubic	-87.840	-68.737	-19
247	selecsls42b	4.827	95.173	28.893	71.107	32.46	224	0.875	bicubic	-87.413	-69.307	-4
248	tv_resnext50_32x4d	4.800	95.200	30.520	69.480	25.03	224	0.875	bilinear	-87.970	-67.680	-28
249	tv_resnet101	4.627	95.373	29.293	70.707	44.55	224	0.875	bilinear	-88.183	-68.967	-32
250	tf_efficientnet_lite1	4.547	95.453	28.320	71.680	5.42	240	0.882	bicubic	-88.053	-69.730	-20
251	mobilenetv2_120d	4.493	95.507	29.867	70.133	5.83	224	0.875	bicubic	-87.977	-68.133	-15
252	resnet26d	4.120	95.880	28.413	71.587	16.01	224	0.875	bicubic	-87.960	-69.587	-3
253	semnasnet_100	4.080	95.920	27.227	72.773	3.89	224	0.875	bicubic	-87.180	-70.333	+11
254	densenet201	4.040	95.960	27.640	72.360	20.01	224	0.875	bicubic	-88.630	-70.620	-26
255	gluon_resnet50_v1b	3.973	96.027	26.920	73.080	25.56	224	0.875	bicubic	-88.647	-71.250	-27
256	fbnetc_100	3.973	96.027	26.053	73.947	5.57	224	0.875	bilinear	-86.877	-71.187	+22
257	repvgg_a2	3.920	96.080	26.827	73.173	28.21	224	0.875	bilinear	-88.200	-71.373	-10
258	mobilenetv2_140	3.853	96.147	26.533	73.467	6.11	224	0.875	bicubic	-88.007	-71.337	-4
259	dpn68	3.840	96.160	25.987	74.013	12.61	224	0.875	bicubic	-88.220	-72.073	-9
260	tf_efficientnet_es	3.840	96.160	26.347	73.653	5.44	224	0.875	bicubic	-88.160	-71.543	-9
261	regnety_008	3.800	96.200	27.427	72.573	6.26	224	0.875	bicubic	-88.060	-70.763	-6
262	tf_mixnet_s	3.773	96.227	25.373	74.627	4.13	224	0.875	bicubic	-87.647	-72.237	-1
263	densenet169	3.760	96.240	25.720	74.280	14.15	224	0.875	bicubic	-88.320	-72.450	-15
264	res2net50_48w_2s	3.680	96.320	26.827	73.173	25.29	224	0.875	bilinear	-88.900	-71.243	-33
265	ssl_resnet18	3.653	96.347	25.307	74.693	11.69	224	0.875	bilinear	-86.597	-72.313	+19
266	dla60	3.653	96.347	27.800	72.200	22.04	224	0.875	bilinear	-88.487	-70.260	-20
267	regnetx_016	3.640	96.360	26.413	73.587	9.19	224	0.875	bicubic	-88.500	-71.867	-21
268	tf_mobilenetv3_large_100	3.587	96.413	24.907	75.093	5.48	224	0.875	bilinear	-87.523	-72.763	+2
269	spnasnet_100	3.547	96.453	24.533	75.467	4.42	224	0.875	bilinear	-86.823	-72.627	+15
270	regnety_006	3.533	96.467	25.280	74.720	6.06	224	0.875	bicubic	-87.747	-72.530	-7
271	legacy_seresnet34	3.253	96.747	23.813	76.187	21.96	224	0.875	bilinear	-87.717	-73.797	+4
272	dla34	3.227	96.773	23.853	76.147	15.74	224	0.875	bilinear	-87.563	-73.737	+6
273	efficientnet_lite0	3.200	96.800	25.773	74.227	4.65	224	0.875	bicubic	-87.870	-71.887	-2
274	mnasnet_100	3.120	96.880	24.267	75.733	4.38	224	0.875	bicubic	-87.340	-73.223	+8
275	mobilenetv2_110d	3.053	96.947	24.507	75.493	4.52	224	0.875	bicubic	-87.807	-73.103	+1
276	regnety_004	3.027	96.973	23.080	76.920	4.34	224	0.875	bicubic	-87.453	-74.430	+5
277	skresnet18	3.013	96.987	23.027	76.973	11.96	224	0.875	bicubic	-86.747	-74.293	+12
278	tf_efficientnet_lite0	3.013	96.987	23.013	76.987	4.65	224	0.875	bicubic	-88.007	-74.407	-6
279	resnet34	2.960	97.040	24.000	76.000	21.80	224	0.875	bilinear	-88.220	-73.730	-13
280	vgg19_bn	2.947	97.053	23.333	76.667	143.68	224	0.875	bilinear	-87.143	-74.277	+6
281	vgg16_bn	2.893	97.107	23.840	76.160	138.37	224	0.875	bilinear	-87.147	-73.520	+6
282	hrnet_w18_small_v2	2.880	97.120	23.680	76.320	15.60	224	0.875	bilinear	-88.460	-74.270	-20
283	tf_mobilenetv3_large_075	2.880	97.120	21.747	78.253	3.99	224	0.875	bilinear	-86.780	-75.533	+7
284	resnet18d	2.853	97.147	21.800	78.200	11.71	224	0.875	bicubic	-86.297	-75.420	+9
285	tv_densenet121	2.667	97.333	22.760	77.240	7.98	224	0.875	bicubic	-88.313	-74.980	-12
286	gluon_resnet34_v1b	2.560	97.440	21.773	78.227	21.80	224	0.875	bicubic	-88.410	-75.867	-12
287	repvgg_b0	2.560	97.440	24.120	75.880	15.82	224	0.875	bilinear	-88.860	-73.800	-27
288	vgg16	2.560	97.440	20.293	79.707	138.36	224	0.875	bilinear	-86.080	-76.487	+12
289	regnetx_008	2.547	97.453	22.333	77.667	7.26	224	0.875	bicubic	-88.633	-75.217	-21
290	resnet26	2.480	97.520	23.053	76.947	16.00	224	0.875	bicubic	-88.700	-74.747	-23
291	legacy_seresnet18	2.440	97.560	19.880	80.120	11.78	224	0.875	bicubic	-86.470	-77.110	+6
292	regnetx_006	2.307	97.693	20.760	79.240	6.20	224	0.875	bicubic	-88.073	-76.560	-9
293	mobilenetv2_100	2.240	97.760	19.707	80.293	3.50	224	0.875	bicubic	-87.220	-77.493	-1
294	vgg13_bn	2.227	97.773	20.480	79.520	133.05	224	0.875	bilinear	-86.613	-76.500	+4
295	vgg19	2.213	97.787	20.920	79.080	143.67	224	0.875	bilinear	-86.907	-75.980	-1
296	tf_mobilenetv3_small_100	2.053	97.947	15.840	84.160	2.54	224	0.875	bilinear	-83.297	-79.800	+13
297	regnety_002	2.040	97.960	18.587	81.413	3.16	224	0.875	bicubic	-85.360	-78.083	+6
298	regnetx_004	1.960	98.040	18.920	81.080	5.16	224	0.875	bicubic	-87.070	-78.170	-3
299	tf_mobilenetv3_small_075	1.907	98.093	15.040	84.960	2.04	224	0.875	bilinear	-81.563	-79.660	+13
300	tv_resnet34	1.853	98.147	20.027	79.973	21.80	224	0.875	bilinear	-88.117	-77.363	-12
301	dla60x_c	1.800	98.200	17.920	82.080	1.32	224	0.875	bilinear	-84.460	-78.180	+6
302	vgg11_bn	1.800	98.200	18.427	81.573	132.87	224	0.875	bilinear	-85.760	-78.373	0
303	vgg13	1.747	98.253	18.120	81.880	133.05	224	0.875	bilinear	-85.313	-78.120	+2
304	dla46x_c	1.640	98.360	16.360	83.640	1.07	224	0.875	bilinear	-82.790	-78.980	+6
305	tf_mobilenetv3_large_minimal_100	1.613	98.387	17.213	82.787	3.92	224	0.875	bilinear	-87.327	-79.597	-9
306	hrnet_w18_small	1.573	98.427	18.133	81.867	13.19	224	0.875	bilinear	-87.237	-78.857	-7
307	gluon_resnet18_v1b	1.533	98.467	16.773	83.227	11.69	224	0.875	bicubic	-86.747	-79.867	-6
308	vgg11	1.507	98.493	16.213	83.787	132.86	224	0.875	bilinear	-85.053	-80.007	-2
309	dla46_c	1.453	98.547	15.280	84.720	1.30	224	0.875	bilinear	-82.107	-79.610	+2
310	regnetx_002	1.320	98.680	15.267	84.733	2.68	224	0.875	bicubic	-84.830	-80.753	-2
311	tf_mobilenetv3_small_minimal_100	1.040	98.960	11.640	88.360	2.04	224	0.875	bilinear	-80.510	-82.070	+2
312	resnet18	1.000	99.000	16.253	83.747	11.69	224	0.875	bilinear	-86.400	-80.027	-8
313	tv_resnet50	0.040	99.960	14.960	85.040	25.56	224	0.875	bilinear	-91.870	-83.100	-60