pytorch-image-models/results/results-imagenet-real.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	90.555	9.445	98.770	1.230	480.31	800	0.960	bicubic	+2.219	+0.106	0
3	tf_efficientnet_l2_ns_475	90.505	9.495	98.715	1.285	480.31	475	0.936	bicubic	+2.275	+0.169	0
4	tf_efficientnet_b7_ns	90.102	9.898	98.608	1.392	66.35	600	0.949	bicubic	+3.272	+0.516	0
5	dm_nfnet_f6	89.891	10.110	98.529	1.471	438.36	576	0.956	bicubic	+3.585	+0.787	+1
6	tf_efficientnet_b6_ns	89.792	10.208	98.503	1.497	43.04	528	0.942	bicubic	+3.330	+0.625	-1
7	tf_efficientnet_b5_ns	89.668	10.332	98.488	1.512	30.39	456	0.934	bicubic	+3.596	+0.740	0
8	tf_efficientnet_b8_ap	89.585	10.415	98.320	1.680	87.41	672	0.954	bicubic	+4.201	+1.022	+6
9	vit_deit_base_distilled_patch16_384	89.431	10.569	98.450	1.550	87.63	384	1.000	bicubic	+4.009	+1.116	+3
10	tf_efficientnet_b7_ap	89.425	10.575	98.343	1.657	66.35	600	0.949	bicubic	+4.301	+1.087	+8
11	dm_nfnet_f3	89.387	10.613	98.328	1.672	254.92	416	0.940	bicubic	+3.805	+0.938	-1
12	dm_nfnet_f4	89.359	10.641	98.232	1.768	316.07	512	0.951	bicubic	+3.633	+0.714	-4
13	tf_efficientnet_b8	89.352	10.648	98.307	1.693	87.41	672	0.954	bicubic	+3.968	+0.907	0
14	tf_efficientnet_b6_ap	89.342	10.658	98.283	1.717	43.04	528	0.942	bicubic	+4.552	+1.147	+10
15	tf_efficientnet_b4_ns	89.333	10.667	98.350	1.650	19.34	380	0.922	bicubic	+4.139	+0.850	0
16	dm_nfnet_f5	89.188	10.812	98.241	1.759	377.21	544	0.954	bicubic	+3.468	+0.805	-7
17	ig_resnext101_32x48d	89.160	10.840	98.108	1.892	828.41	224	0.875	bilinear	+3.658	+0.560	-6
18	ig_resnext101_32x32d	89.143	10.857	98.187	1.813	468.53	224	0.875	bilinear	+3.997	+0.731	-1
19	tf_efficientnet_b7	89.083	10.917	98.185	1.815	66.35	600	0.949	bicubic	+4.147	+0.977	+2
20	ecaresnet269d	89.056	10.944	98.241	1.759	102.09	352	1.000	bicubic	+4.130	+1.005	+2
21	tf_efficientnet_b5_ap	88.940	11.060	98.160	1.840	30.39	456	0.934	bicubic	+4.680	+1.186	+10
22	dm_nfnet_f2	88.874	11.126	98.100	1.900	193.78	352	0.920	bicubic	+3.906	+0.976	-2
23	dm_nfnet_f1	88.864	11.136	98.104	1.896	132.63	320	0.910	bicubic	+4.270	+1.024	+2
24	ig_resnext101_32x16d	88.851	11.149	98.064	1.937	194.03	224	0.875	bilinear	+4.683	+0.868	+9
25	vit_base_resnet50_384	88.817	11.184	98.234	1.766	98.95	384	1.000	bicubic	+3.823	+0.940	-6
26	swsl_resnext101_32x8d	88.802	11.198	98.125	1.875	88.79	224	0.875	bilinear	+4.470	+0.971	+4
27	seresnet152d	88.799	11.200	98.170	1.830	66.84	320	1.000	bicubic	+4.450	+1.128	+2
28	tf_efficientnet_b6	88.755	11.245	98.076	1.924	43.04	528	0.942	bicubic	+4.633	+1.186	+6
29	resnetv2_152x2_bitm	88.678	11.322	98.341	1.659	236.34	480	1.000	bilinear	+4.250	+0.889	-2
30	resnetv2_152x4_bitm	88.582	11.418	98.192	1.808	936.53	480	1.000	bilinear	+3.666	+0.748	-7
31	resnet200d	88.573	11.427	97.976	2.024	64.69	320	1.000	bicubic	+4.573	+1.152	+5
32	resnest269e	88.528	11.472	98.021	1.979	110.93	416	0.928	bicubic	+4.010	+1.019	-6
33	resnetv2_101x3_bitm	88.479	11.521	98.149	1.851	387.93	480	1.000	bilinear	+4.087	+0.791	-5
34	tf_efficientnet_b3_ns	88.439	11.561	98.066	1.934	12.23	300	0.904	bicubic	+4.427	+1.156	+1
35	resnest200e	88.428	11.572	98.023	1.977	70.20	320	0.909	bicubic	+4.588	+1.165	+2
36	vit_large_patch16_384	88.428	11.572	98.211	1.789	304.72	384	1.000	bicubic	+3.258	+0.867	-20
37	vit_base_patch16_384	88.383	11.617	98.160	1.840	86.86	384	1.000	bicubic	+4.171	+0.944	-5
38	resnet152d	88.358	11.643	97.923	2.077	60.21	320	1.000	bicubic	+4.694	+1.197	+2
39	resnetv2_50x3_bitm	88.340	11.660	98.117	1.883	217.32	480	1.000	bilinear	+4.540	+1.007	0
40	tf_efficientnet_b4_ap	88.319	11.681	97.908	2.092	19.34	380	0.922	bicubic	+5.095	+1.542	+5
41	tf_efficientnet_b5	88.306	11.694	97.908	2.092	30.39	456	0.934	bicubic	+4.486	+1.148	-3
42	vit_deit_base_distilled_patch16_224	88.210	11.790	97.916	2.084	87.34	224	0.900	bicubic	+4.838	+1.412	0
43	ig_resnext101_32x8d	88.106	11.894	97.848	2.152	88.79	224	0.875	bilinear	+5.446	+1.164	+10
44	dm_nfnet_f0	88.103	11.897	97.831	2.169	71.49	256	0.900	bicubic	+4.733	+1.273	-1
45	swsl_resnext101_32x4d	88.054	11.946	97.920	2.080	44.18	224	0.875	bilinear	+4.802	+1.152	-1
46	tf_efficientnet_b4	87.950	12.050	97.722	2.278	19.34	380	0.922	bicubic	+4.976	+1.430	+4
47	resnet101d	87.922	12.078	97.893	2.107	44.57	320	1.000	bicubic	+4.922	+1.433	+2
48	vit_deit_base_patch16_384	87.860	12.140	97.498	2.502	86.86	384	1.000	bicubic	+4.768	+1.146	-2
49	tresnet_xl_448	87.796	12.204	97.463	2.537	78.44	448	0.875	bilinear	+4.754	+1.281	-1
50	swsl_resnext101_32x16d	87.683	12.317	97.861	2.139	194.03	224	0.875	bilinear	+4.219	+0.995	-9
51	resnetv2_101x1_bitm	87.647	12.354	97.950	2.050	44.54	480	1.000	bilinear	+5.439	+1.490	+8
52	pnasnet5large	87.615	12.386	97.502	2.498	86.06	331	0.911	bicubic	+4.829	+1.426	0
53	ecaresnet50t	87.578	12.422	97.666	2.334	25.57	320	0.950	bicubic	+5.230	+1.522	+3
54	swsl_resnext50_32x4d	87.563	12.437	97.615	2.385	25.03	224	0.875	bilinear	+5.377	+1.351	+6
55	tf_efficientnet_b2_ns	87.535	12.464	97.639	2.361	9.11	260	0.890	bicubic	+5.169	+1.379	0
56	efficientnet_b3a	87.431	12.569	97.681	2.319	12.23	320	1.000	bicubic	+5.199	+1.555	+2
57	tresnet_l_448	87.403	12.597	97.481	2.519	55.99	448	0.875	bilinear	+5.113	+1.503	0
58	nasnetalarge	87.350	12.650	97.436	2.564	88.75	331	0.911	bicubic	+4.710	+1.384	-4
59	efficientnet_b3	87.290	12.710	97.590	2.410	12.23	300	0.904	bicubic	+5.258	+1.553	+4
60	tresnet_xl	87.266	12.733	97.412	2.588	78.44	224	0.875	bilinear	+5.100	+1.478	+1
61	resnest101e	87.264	12.736	97.540	2.460	48.28	256	0.875	bilinear	+4.440	+1.230	-10
62	regnety_032	87.249	12.751	97.540	2.460	19.44	224	0.875	bicubic	+5.233	+1.608	+2
63	tf_efficientnet_b3_ap	87.177	12.823	97.410	2.590	12.23	300	0.904	bicubic	+5.375	+1.810	+4
64	ecaresnet101d	87.175	12.825	97.590	2.410	44.57	224	0.875	bicubic	+5.057	+1.549	-2
65	vit_base_patch32_384	87.012	12.988	97.660	2.340	88.30	384	1.000	bicubic	+5.348	+1.532	+6
66	vit_deit_small_distilled_patch16_224	87.004	12.996	97.325	2.675	22.44	224	0.900	bicubic	+5.754	+1.929	+16
67	vit_large_patch16_224	86.993	13.007	97.679	2.321	304.33	224	0.900	bicubic	+3.933	+1.255	-20
68	rexnet_200	86.861	13.139	97.244	2.756	16.37	224	0.875	bicubic	+5.173	+1.554	+2
69	tf_efficientnet_lite4	86.852	13.148	97.244	2.756	13.01	380	0.920	bilinear	+5.336	+1.620	+5
70	vit_deit_base_patch16_224	86.835	13.165	97.054	2.946	86.57	224	0.900	bicubic	+4.841	+1.316	-5
71	swsl_resnet50	86.825	13.175	97.528	2.472	25.56	224	0.875	bilinear	+5.701	+1.540	+14
72	tf_efficientnet_b3	86.818	13.182	97.305	2.695	12.23	300	0.904	bicubic	+5.192	+1.599	0
73	tresnet_m_448	86.807	13.193	97.199	2.801	31.39	448	0.875	bilinear	+5.115	+1.639	-4
74	ssl_resnext101_32x8d	86.803	13.197	97.427	2.573	88.79	224	0.875	bilinear	+5.203	+1.405	-1
75	vit_base_patch16_224	86.790	13.210	97.423	2.577	86.57	224	0.900	bicubic	+5.010	+1.311	-7
76	ssl_resnext101_32x16d	86.775	13.225	97.538	2.462	194.03	224	0.875	bilinear	+4.929	+1.406	-10
77	tresnet_l	86.763	13.237	97.229	2.771	55.99	224	0.875	bilinear	+5.273	+1.645	-1
78	seresnext50_32x4d	86.699	13.301	97.246	2.754	27.56	224	0.875	bicubic	+5.429	+1.590	+3
79	tf_efficientnet_b1_ns	86.666	13.334	97.361	2.639	7.79	240	0.882	bicubic	+5.269	+1.631	-2
80	repvgg_b3	86.628	13.372	97.135	2.865	123.09	224	0.875	bilinear	+6.188	+1.941	+25
81	resnest50d_4s2x40d	86.615	13.385	97.288	2.712	30.42	224	0.875	bicubic	+5.467	+1.736	+3
82	gernet_l	86.611	13.389	97.162	2.837	31.08	256	0.875	bilinear	+5.267	+1.622	-4
83	nf_resnet50	86.594	13.406	97.291	2.709	25.56	288	0.940	bicubic	+5.928	+1.933	+14
84	efficientnet_b3_pruned	86.592	13.408	97.177	2.823	9.86	300	0.904	bicubic	+5.772	+1.953	+9
85	ssl_resnext101_32x4d	86.562	13.438	97.447	2.554	44.18	224	0.875	bilinear	+5.538	+1.698	+1
86	wide_resnet50_2	86.521	13.479	97.216	2.784	68.88	224	0.875	bicubic	+5.215	+1.628	-6
87	resnest50d_1s4x24d	86.491	13.509	97.109	2.891	25.68	224	0.875	bicubic	+5.553	+1.791	+2
88	gluon_resnet152_v1s	86.464	13.536	97.120	2.880	60.32	224	0.875	bicubic	+5.444	+1.694	-1
89	ecaresnet50d	86.438	13.562	97.214	2.786	25.58	224	0.875	bicubic	+5.824	+1.900	+10
90	repvgg_b3g4	86.412	13.588	97.062	2.938	83.83	224	0.875	bilinear	+6.174	+1.994	+29
91	gernet_m	86.355	13.645	97.141	2.859	21.14	224	0.875	bilinear	+5.625	+1.929	+4
92	legacy_senet154	86.336	13.664	96.970	3.030	115.09	224	0.875	bilinear	+5.014	+1.516	-13
93	efficientnet_b2a	86.291	13.709	96.975	3.025	9.11	288	1.000	bicubic	+5.683	+1.677	+7
94	ecaresnet101d_pruned	86.287	13.713	97.248	2.752	24.88	224	0.875	bicubic	+5.401	+1.676	-4
95	gluon_senet154	86.278	13.722	96.960	3.040	115.09	224	0.875	bicubic	+5.062	+1.640	-12
96	resnest50d	86.276	13.724	97.056	2.944	27.48	224	0.875	bilinear	+5.306	+1.706	-8
97	cspdarknet53	86.180	13.820	96.990	3.010	27.64	256	0.887	bilinear	+6.130	+1.914	+28
98	resnetv2_50x1_bitm	86.160	13.839	97.551	2.449	25.55	480	1.000	bilinear	+6.008	+1.907	+26
99	inception_v4	86.150	13.850	96.941	3.059	42.68	299	0.875	bicubic	+5.996	+1.978	+23
100	rexnet_150	86.133	13.867	97.049	2.951	9.73	224	0.875	bicubic	+5.783	+1.847	+10
101	inception_resnet_v2	86.129	13.871	97.030	2.970	55.84	299	0.897	bicubic	+5.681	+1.738	+3
102	tresnet_m	86.126	13.874	96.639	3.361	31.39	224	0.875	bilinear	+5.406	+1.783	-6
103	ssl_resnext50_32x4d	86.103	13.897	97.190	2.810	25.03	224	0.875	bilinear	+5.771	+1.808	+8
104	tf_efficientnet_el	86.092	13.908	96.977	3.023	10.59	300	0.904	bicubic	+5.800	+1.857	+12
105	gluon_resnet101_v1s	86.067	13.933	97.101	2.899	44.67	224	0.875	bicubic	+5.771	+1.925	+9
106	gluon_seresnext101_32x4d	86.056	13.944	96.966	3.034	48.96	224	0.875	bicubic	+5.178	+1.692	-15
107	ecaresnetlight	86.049	13.950	97.086	2.914	30.16	224	0.875	bicubic	+5.590	+1.884	-4
108	ecaresnet26t	86.030	13.970	97.039	2.961	16.01	320	0.950	bicubic	+6.146	+1.967	+23
109	efficientnet_b2	86.024	13.976	96.872	3.128	9.11	260	0.875	bicubic	+5.710	+1.760	+3
110	gluon_seresnext101_64x4d	85.983	14.017	96.981	3.019	88.23	224	0.875	bicubic	+5.131	+1.645	-18
111	resnet50d	85.962	14.038	96.970	3.030	25.58	224	0.875	bicubic	+5.470	+1.842	-10
112	tf_efficientnet_b2_ap	85.936	14.064	96.778	3.222	9.11	260	0.890	bicubic	+5.696	+1.794	+6
113	seresnet50	85.902	14.098	96.985	3.015	28.09	224	0.875	bicubic	+5.610	+1.937	+2
114	gluon_resnet152_v1d	85.898	14.102	96.849	3.151	60.21	224	0.875	bicubic	+5.418	+1.587	-12
115	vit_large_patch32_384	85.896	14.104	97.391	2.609	306.63	384	1.000	bicubic	+4.390	+1.283	-40
116	tf_efficientnet_b2	85.872	14.128	96.891	3.109	9.11	260	0.890	bicubic	+5.848	+1.947	+11
117	repvgg_b2g4	85.859	14.140	96.817	3.183	61.76	224	0.875	bilinear	+6.456	+2.111	+37
118	mixnet_xl	85.806	14.194	96.674	3.326	11.90	224	0.875	bicubic	+5.382	+1.786	-11
119	ens_adv_inception_resnet_v2	85.787	14.213	96.770	3.230	55.84	299	0.897	bicubic	+5.857	+1.820	+11
120	resnet50	85.783	14.217	96.740	3.260	25.56	224	0.875	bicubic	+6.779	+2.348	+55
121	tf_efficientnet_lite3	85.763	14.237	96.864	3.136	8.20	300	0.904	bilinear	+6.005	+2.000	+18
122	cspresnext50	85.738	14.262	96.827	3.173	20.57	224	0.875	bilinear	+5.732	+1.895	+6
123	gluon_resnext101_64x4d	85.721	14.279	96.674	3.326	83.46	224	0.875	bicubic	+5.085	+1.684	-25
124	legacy_seresnext101_32x4d	85.721	14.279	96.736	3.264	48.96	224	0.875	bilinear	+5.439	+1.712	-7
125	regnety_320	85.721	14.279	96.757	3.243	145.05	224	0.875	bicubic	+4.939	+1.495	-31
126	cspresnet50	85.716	14.284	96.793	3.207	21.62	256	0.887	bilinear	+6.134	+2.081	+22
127	efficientnet_em	85.701	14.299	96.951	3.049	6.90	240	0.882	bicubic	+6.471	+2.159	+36
128	vit_deit_small_patch16_224	85.699	14.301	96.925	3.075	22.05	224	0.900	bicubic	+5.831	+1.883	+5
129	gluon_resnet101_v1d	85.686	14.313	96.689	3.312	44.57	224	0.875	bicubic	+5.256	+1.675	-23
130	xception71	85.667	14.333	96.791	3.209	42.34	299	0.903	bicubic	+5.821	+1.855	+6
131	gluon_resnext101_32x4d	85.661	14.339	96.629	3.371	44.18	224	0.875	bicubic	+5.443	+1.721	-11
132	ese_vovnet39b	85.650	14.350	96.862	3.139	24.57	224	0.875	bicubic	+6.444	+2.134	+34
133	dpn107	85.640	14.360	96.710	3.290	86.92	224	0.875	bicubic	+5.460	+1.804	-12
134	ecaresnet50d_pruned	85.603	14.397	96.943	3.057	19.94	224	0.875	bicubic	+5.927	+2.021	+11
135	resnext50d_32x4d	85.588	14.412	96.744	3.256	25.05	224	0.875	bicubic	+5.900	+1.900	+9
136	efficientnet_b2_pruned	85.576	14.425	96.770	3.230	8.31	260	0.890	bicubic	+5.744	+1.964	+2
137	regnety_120	85.571	14.429	96.761	3.239	51.82	224	0.875	bicubic	+5.197	+1.653	-28
138	regnetx_320	85.556	14.444	96.676	3.324	107.81	224	0.875	bicubic	+5.242	+1.608	-25
139	regnety_160	85.535	14.465	96.680	3.320	83.59	224	0.875	bicubic	+5.121	+1.700	-31
140	gluon_resnet152_v1c	85.524	14.476	96.650	3.350	60.21	224	0.875	bicubic	+5.674	+1.760	-5
141	rexnet_130	85.524	14.476	96.663	3.337	7.56	224	0.875	bicubic	+6.008	+2.003	+10
142	gluon_resnet152_v1b	85.520	14.480	96.554	3.446	60.19	224	0.875	bicubic	+5.886	+1.796	+4
143	nf_regnet_b1	85.488	14.512	96.799	3.200	10.22	288	0.900	bicubic	+6.164	+2.027	+13
144	dpn92	85.471	14.529	96.629	3.371	37.67	224	0.875	bicubic	+5.437	+1.811	-18
145	dpn131	85.441	14.559	96.590	3.410	79.25	224	0.875	bicubic	+5.575	+1.864	-11
146	regnetx_160	85.426	14.574	96.665	3.335	54.28	224	0.875	bicubic	+5.542	+1.839	-14
147	dla102x2	85.383	14.617	96.599	3.401	41.28	224	0.875	bilinear	+5.955	+1.971	+6
148	xception65	85.353	14.646	96.629	3.371	39.92	299	0.903	bicubic	+5.761	+1.971	-1
149	gluon_seresnext50_32x4d	85.317	14.683	96.723	3.277	27.56	224	0.875	bicubic	+5.369	+1.887	-20
150	dpn98	85.315	14.685	96.501	3.499	61.57	224	0.875	bicubic	+5.627	+1.857	-7
151	regnety_080	85.315	14.685	96.663	3.337	39.18	224	0.875	bicubic	+5.475	+1.815	-14
152	skresnext50_32x4d	85.311	14.689	96.362	3.638	27.48	224	0.875	bicubic	+5.157	+1.660	-29
153	regnety_064	85.291	14.709	96.650	3.350	30.58	224	0.875	bicubic	+5.555	+1.892	-12
154	dpn68b	85.262	14.738	96.449	3.551	12.61	224	0.875	bicubic	+6.122	+2.025	+14
155	resnetblur50	85.247	14.753	96.565	3.435	25.56	224	0.875	bicubic	+5.985	+1.943	+5
156	gluon_resnet101_v1c	85.230	14.770	96.481	3.519	44.57	224	0.875	bicubic	+5.680	+1.839	-6
157	gluon_inception_v3	85.228	14.773	96.533	3.467	23.83	299	0.875	bicubic	+6.398	+2.135	+25
158	resnext101_32x8d	85.223	14.777	96.492	3.508	88.79	224	0.875	bilinear	+6.013	+1.936	+7
159	resnext50_32x4d	85.200	14.800	96.505	3.495	25.03	224	0.875	bicubic	+5.478	+1.899	-17
160	hrnet_w64	85.191	14.809	96.721	3.280	128.06	224	0.875	bilinear	+5.703	+2.082	-8
161	gluon_xception65	85.170	14.830	96.595	3.405	39.92	299	0.903	bicubic	+5.414	+1.743	-21
162	ssl_resnet50	85.161	14.839	96.868	3.132	25.56	224	0.875	bilinear	+5.921	+1.954	-1
163	gluon_resnet101_v1b	85.155	14.845	96.379	3.621	44.55	224	0.875	bicubic	+5.795	+1.871	-8
164	hrnet_w48	85.153	14.847	96.477	3.523	77.47	224	0.875	bilinear	+5.917	+1.955	-2
165	xception	85.146	14.854	96.496	3.504	22.86	299	0.897	bicubic	+6.118	+2.126	+9
166	tf_efficientnet_b1_ap	85.140	14.860	96.411	3.589	7.79	240	0.882	bicubic	+5.850	+2.085	-8
167	regnetx_120	85.104	14.896	96.473	3.527	46.11	224	0.875	bicubic	+5.530	+1.781	-18
168	res2net101_26w_4s	85.095	14.905	96.326	3.674	45.21	224	0.875	bilinear	+5.975	+1.894	+2
169	tf_efficientnet_cc_b1_8e	85.065	14.935	96.417	3.583	39.72	240	0.882	bicubic	+5.777	+2.059	-10
170	gluon_resnext50_32x4d	85.050	14.950	96.462	3.538	25.03	224	0.875	bicubic	+5.730	+1.962	-13
171	res2net50_26w_8s	85.010	14.990	96.471	3.529	48.40	224	0.875	bilinear	+5.880	+2.067	-2
172	hrnet_w44	84.988	15.012	96.479	3.521	67.06	224	0.875	bilinear	+6.102	+2.069	+7
173	tf_efficientnet_b0_ns	84.980	15.020	96.535	3.465	5.29	224	0.875	bicubic	+6.380	+2.147	+16
174	dla169	84.961	15.039	96.494	3.506	53.39	224	0.875	bilinear	+6.229	+2.160	+11
175	regnety_040	84.952	15.048	96.633	3.367	20.65	224	0.875	bicubic	+5.736	+1.971	-11
176	tf_efficientnet_b1	84.948	15.052	96.351	3.649	7.79	240	0.882	bicubic	+6.116	+2.145	+5
177	resnest26d	84.939	15.061	96.588	3.412	17.07	224	0.875	bilinear	+6.499	+2.292	+19
178	legacy_seresnext50_32x4d	84.937	15.063	96.484	3.517	27.56	224	0.875	bilinear	+5.829	+2.006	-7
179	gluon_resnet50_v1s	84.903	15.097	96.486	3.514	25.68	224	0.875	bicubic	+6.115	+2.246	+5
180	dla60_res2net	84.865	15.136	96.430	3.570	20.85	224	0.875	bilinear	+6.343	+2.178	+11
181	dla102x	84.845	15.155	96.539	3.461	26.31	224	0.875	bilinear	+6.317	+2.333	+9
182	mixnet_l	84.832	15.168	96.306	3.694	7.33	224	0.875	bicubic	+5.900	+2.122	-6
183	gluon_resnet50_v1d	84.824	15.176	96.439	3.561	25.58	224	0.875	bicubic	+5.752	+1.961	-10
184	regnetx_080	84.822	15.178	96.473	3.527	39.57	224	0.875	bicubic	+5.648	+1.917	-17
185	regnetx_064	84.813	15.187	96.526	3.474	26.21	224	0.875	bicubic	+5.735	+2.066	-13
186	xception41	84.805	15.195	96.415	3.585	26.97	299	0.903	bicubic	+6.309	+2.159	+7
187	repvgg_b2	84.777	15.223	96.411	3.589	89.02	224	0.875	bilinear	+5.895	+2.065	-7
188	tv_resnet152	84.775	15.225	96.174	3.826	60.19	224	0.875	bilinear	+6.525	+2.192	+13
189	dla60_res2next	84.766	15.234	96.426	3.574	17.03	224	0.875	bilinear	+6.444	+2.236	+10
190	hrnet_w40	84.764	15.236	96.552	3.448	57.56	224	0.875	bilinear	+5.858	+2.118	-12
191	res2net50_26w_6s	84.758	15.242	96.330	3.670	37.05	224	0.875	bilinear	+6.154	+2.166	-3
192	selecsls60b	84.698	15.302	96.345	3.655	32.77	224	0.875	bicubic	+6.202	+2.153	0
193	legacy_seresnet152	84.681	15.319	96.377	3.623	66.82	224	0.875	bilinear	+6.037	+1.987	-7
194	tf_mixnet_l	84.649	15.351	96.217	3.783	7.33	224	0.875	bicubic	+5.847	+2.163	-11
195	regnetx_040	84.634	15.366	96.432	3.568	22.12	224	0.875	bicubic	+6.140	+2.162	-1
196	wide_resnet101_2	84.604	15.396	96.373	3.627	126.89	224	0.875	bilinear	+5.694	+2.029	-19
197	hrnet_w32	84.596	15.405	96.434	3.566	41.23	224	0.875	bilinear	+6.171	+2.232	0
198	efficientnet_es	84.576	15.424	96.298	3.702	5.44	224	0.875	bicubic	+6.544	+2.398	+11
199	efficientnet_b1	84.546	15.454	96.148	3.852	7.79	240	0.875	bicubic	+5.942	+2.054	-12
200	dla60x	84.544	15.456	96.244	3.756	17.35	224	0.875	bilinear	+6.318	+2.256	+2
201	hrnet_w30	84.531	15.469	96.432	3.568	37.71	224	0.875	bilinear	+6.397	+2.240	+4
202	legacy_seresnet101	84.521	15.479	96.330	3.670	49.33	224	0.875	bilinear	+6.101	+2.156	-4
203	repvgg_b1	84.467	15.533	96.296	3.704	57.42	224	0.875	bilinear	+6.025	+2.138	-8
204	tf_efficientnet_em	84.467	15.533	96.185	3.815	6.90	240	0.882	bicubic	+6.307	+2.139	-1
205	efficientnet_b1_pruned	84.420	15.580	96.123	3.877	6.33	240	0.882	bicubic	+6.146	+2.315	-5
206	res2net50_26w_4s	84.369	15.631	96.097	3.903	25.70	224	0.875	bilinear	+6.403	+2.267	+4
207	res2net50_14w_8s	84.322	15.678	96.080	3.920	25.06	224	0.875	bilinear	+6.204	+2.244	-1
208	regnetx_032	84.314	15.686	96.249	3.751	15.30	224	0.875	bicubic	+6.166	+2.183	-4
209	dla102	84.271	15.729	96.165	3.835	33.27	224	0.875	bilinear	+6.217	+2.247	-1
210	rexnet_100	84.192	15.808	96.212	3.788	4.80	224	0.875	bicubic	+6.306	+2.354	+4
211	res2next50	84.160	15.840	96.031	3.969	24.67	224	0.875	bilinear	+6.080	+2.079	-4
212	res2net50_48w_2s	84.154	15.846	95.978	4.022	25.29	224	0.875	bilinear	+6.636	+2.396	+13
213	gluon_resnet50_v1c	84.132	15.868	96.198	3.803	25.58	224	0.875	bicubic	+6.206	+2.192	-2
214	selecsls60	84.128	15.872	96.106	3.894	30.67	224	0.875	bicubic	+6.214	+2.284	-1
215	resnet34d	84.107	15.893	95.980	4.020	21.82	224	0.875	bicubic	+7.011	+2.556	+22
216	tf_inception_v3	84.077	15.923	95.922	4.078	23.83	299	0.875	bicubic	+6.273	+2.198	+1
217	gluon_resnet50_v1b	84.047	15.953	95.995	4.005	25.56	224	0.875	bicubic	+6.383	+2.321	+2
218	tf_efficientnet_lite2	84.045	15.955	96.118	3.881	6.09	260	0.890	bicubic	+6.605	+2.356	+9
219	efficientnet_b0	84.019	15.981	95.909	4.091	5.29	224	0.875	bicubic	+6.409	+2.345	+3
220	tv_resnext50_32x4d	84.019	15.981	95.982	4.018	25.03	224	0.875	bilinear	+6.391	+2.302	0
221	tf_efficientnet_cc_b0_8e	83.957	16.043	96.025	3.975	24.01	224	0.875	bicubic	+6.031	+2.427	-9
222	mobilenetv2_120d	83.908	16.092	95.913	4.087	5.83	224	0.875	bicubic	+6.580	+2.436	+8
223	densenet161	83.891	16.109	95.995	4.005	28.68	224	0.875	bicubic	+6.553	+2.307	+6
224	adv_inception_v3	83.880	16.120	95.926	4.074	23.83	299	0.875	bicubic	+6.318	+2.240	-1
225	regnety_016	83.863	16.137	96.033	3.967	11.20	224	0.875	bicubic	+6.059	+2.383	-7
226	tv_resnet101	83.861	16.139	95.860	4.140	44.55	224	0.875	bilinear	+6.547	+2.304	+6
227	seresnext26t_32x4d	83.825	16.175	95.922	4.078	16.81	224	0.875	bicubic	+5.995	+2.194	-11
228	seresnext26d_32x4d	83.742	16.259	95.867	4.133	16.81	224	0.875	bicubic	+6.224	+2.261	-2
229	vit_small_patch16_224	83.735	16.265	95.762	4.238	48.75	224	0.900	bicubic	+5.863	+2.370	-14
230	inception_v3	83.705	16.295	95.884	4.116	23.83	299	0.875	bicubic	+6.295	+2.410	-2
231	dla60	83.697	16.303	95.967	4.033	22.04	224	0.875	bilinear	+6.773	+2.677	+9
232	repvgg_b1g4	83.697	16.303	96.029	3.971	39.97	224	0.875	bilinear	+6.157	+2.235	-8
233	tf_efficientnet_b0_ap	83.645	16.355	95.762	4.238	5.29	224	0.875	bicubic	+6.573	+2.500	+5
234	skresnet34	83.639	16.361	95.903	4.097	22.28	224	0.875	bicubic	+6.729	+2.631	+8
235	densenet201	83.615	16.384	95.835	4.165	20.01	224	0.875	bicubic	+6.296	+2.353	-4
236	tf_efficientnet_cc_b0_4e	83.609	16.391	95.775	4.225	13.31	224	0.875	bicubic	+6.313	+2.415	-3
237	hrnet_w18	83.584	16.416	95.926	4.074	21.30	224	0.875	bilinear	+6.752	+2.522	+7
238	legacy_seresnet50	83.579	16.421	96.093	3.907	28.09	224	0.875	bilinear	+5.967	+2.297	-17
239	legacy_seresnext26_32x4d	83.509	16.491	95.745	4.255	16.79	224	0.875	bicubic	+6.393	+2.387	-4
240	tf_efficientnet_b0	83.500	16.500	95.709	4.292	5.29	224	0.875	bicubic	+6.670	+2.436	+5
241	gernet_s	83.492	16.508	95.787	4.213	8.17	224	0.875	bilinear	+6.618	+2.659	+2
242	selecsls42b	83.492	16.508	95.779	4.221	32.46	224	0.875	bicubic	+6.396	+2.387	-6
243	mixnet_m	83.485	16.515	95.696	4.304	5.01	224	0.875	bicubic	+6.309	+2.270	-9
244	densenetblur121d	83.394	16.607	95.798	4.202	8.00	224	0.875	bicubic	+6.919	+2.702	+8
245	tf_efficientnet_lite1	83.347	16.654	95.664	4.336	5.42	240	0.882	bicubic	+6.719	+2.416	+2
246	ese_vovnet19b_dw	83.246	16.754	95.790	4.210	6.54	224	0.875	bicubic	+6.474	+2.514	0
247	regnetx_016	83.206	16.794	95.745	4.255	9.19	224	0.875	bicubic	+6.292	+2.373	-6
248	mobilenetv2_140	83.191	16.809	95.638	4.362	6.11	224	0.875	bicubic	+6.653	+2.694	+2
249	dpn68	83.189	16.811	95.632	4.368	12.61	224	0.875	bicubic	+6.811	+2.654	+4
250	tf_mixnet_m	83.189	16.811	95.491	4.509	5.01	224	0.875	bicubic	+6.225	+2.279	-11
251	tf_efficientnet_es	83.178	16.822	95.595	4.405	5.44	224	0.875	bicubic	+6.616	+2.411	-2
252	repvgg_a2	83.097	16.903	95.583	4.417	28.21	224	0.875	bilinear	+6.609	+2.561	-1
253	resnet26d	82.977	17.023	95.647	4.353	16.01	224	0.875	bicubic	+6.377	+2.459	-5
254	tv_resnet50	82.945	17.055	95.523	4.477	25.56	224	0.875	bilinear	+6.933	+2.589	+2
255	densenet121	82.866	17.134	95.521	4.479	7.98	224	0.875	bicubic	+7.336	+2.905	+7
256	densenet169	82.719	17.281	95.568	4.432	14.15	224	0.875	bicubic	+6.769	+2.574	+1
257	mixnet_s	82.561	17.439	95.365	4.635	4.13	224	0.875	bicubic	+6.499	+2.539	-2
258	regnety_008	82.548	17.452	95.501	4.499	6.26	224	0.875	bicubic	+6.224	+2.401	-4
259	efficientnet_lite0	82.367	17.634	95.294	4.706	4.65	224	0.875	bicubic	+6.922	+2.750	+5
260	resnest14d	82.345	17.655	95.309	4.691	10.61	224	0.875	bilinear	+6.757	+2.821	0
261	mobilenetv3_rw	82.296	17.704	95.222	4.778	5.48	224	0.875	bicubic	+6.754	+2.546	0
262	semnasnet_100	82.234	17.766	95.243	4.757	3.89	224	0.875	bicubic	+6.808	+2.695	+3
263	mobilenetv3_large_100	82.151	17.849	95.160	4.840	5.48	224	0.875	bicubic	+6.441	+2.664	-5
264	resnet34	82.119	17.881	95.115	4.885	21.80	224	0.875	bilinear	+7.023	+2.869	+6
265	mobilenetv2_110d	82.080	17.920	95.068	4.932	4.52	224	0.875	bicubic	+7.032	+2.936	+7
266	resnet26	82.055	17.945	95.277	4.723	16.00	224	0.875	bicubic	+6.661	+2.693	0
267	tf_mixnet_s	82.023	17.977	95.145	4.855	4.13	224	0.875	bicubic	+6.365	+2.527	-8
268	repvgg_b0	82.012	17.988	95.128	4.872	15.82	224	0.875	bilinear	+6.798	+2.674	-1
269	vit_deit_tiny_distilled_patch16_224	81.993	18.007	95.141	4.859	5.91	224	0.900	bicubic	+7.499	+3.257	+11
270	hrnet_w18_small_v2	81.989	18.011	95.158	4.842	15.60	224	0.875	bilinear	+6.825	+2.728	-1
271	tf_efficientnet_lite0	81.884	18.116	95.126	4.874	4.65	224	0.875	bicubic	+7.016	+2.996	+4
272	tf_mobilenetv3_large_100	81.848	18.152	95.057	4.943	5.48	224	0.875	bilinear	+6.328	+2.507	-9
273	tv_densenet121	81.758	18.242	94.993	5.007	7.98	224	0.875	bicubic	+7.012	+2.863	+3
274	dla34	81.668	18.332	94.908	5.092	15.74	224	0.875	bilinear	+7.032	+2.786	+4
275	regnety_006	81.641	18.359	95.119	4.881	6.06	224	0.875	bicubic	+6.435	+2.559	-7
276	legacy_seresnet34	81.626	18.374	94.938	5.062	21.96	224	0.875	bilinear	+6.714	+2.774	-2
277	fbnetc_100	81.544	18.456	94.953	5.047	5.57	224	0.875	bilinear	+6.463	+2.599	-6
278	mnasnet_100	81.453	18.547	94.946	5.054	4.38	224	0.875	bicubic	+6.761	+2.806	-1
279	gluon_resnet34_v1b	81.433	18.567	94.799	5.201	21.80	224	0.875	bicubic	+6.938	+2.791	0
280	vgg19_bn	81.429	18.571	94.782	5.218	143.68	224	0.875	bilinear	+7.213	+2.934	+1
281	regnetx_008	81.425	18.575	95.032	4.968	7.26	224	0.875	bicubic	+6.399	+2.700	-8
282	spnasnet_100	80.893	19.107	94.570	5.429	4.42	224	0.875	bilinear	+6.773	+2.688	0
283	vgg16_bn	80.722	19.277	94.607	5.393	138.37	224	0.875	bilinear	+7.246	+3.071	+2
284	regnetx_006	80.659	19.341	94.579	5.421	6.20	224	0.875	bicubic	+6.697	+2.895	-1
285	swsl_resnet18	80.586	19.414	94.831	5.169	11.69	224	0.875	bilinear	+7.268	+3.079	+2
286	regnety_004	80.573	19.427	94.697	5.303	4.34	224	0.875	bicubic	+6.631	+2.942	-2
287	skresnet18	80.573	19.427	94.342	5.658	11.96	224	0.875	bicubic	+7.573	+3.186	+2
288	resnet18d	80.426	19.574	94.306	5.694	11.71	224	0.875	bicubic	+8.046	+3.596	+5
289	tv_resnet34	80.345	19.655	94.445	5.555	21.80	224	0.875	bilinear	+7.079	+3.015	-1
290	mobilenetv2_100	80.266	19.734	94.246	5.754	3.50	224	0.875	bicubic	+7.310	+3.204	0
291	vit_deit_tiny_patch16_224	80.065	19.935	94.445	5.555	5.72	224	0.900	bicubic	+7.869	+3.353	+6
292	tf_mobilenetv3_large_075	80.044	19.956	94.227	5.773	3.99	224	0.875	bilinear	+6.672	+2.823	-6
293	ssl_resnet18	80.037	19.963	94.588	5.412	11.69	224	0.875	bilinear	+7.545	+3.146	-1
294	hrnet_w18_small	79.550	20.450	93.902	6.098	13.19	224	0.875	bilinear	+7.274	+3.316	+1
295	regnetx_004	79.508	20.492	93.939	6.061	5.16	224	0.875	bicubic	+6.972	+3.097	-4
296	vgg19	79.501	20.499	93.906	6.093	143.67	224	0.875	bilinear	+7.141	+3.056	-2
297	legacy_seresnet18	79.160	20.840	93.781	6.219	11.78	224	0.875	bicubic	+7.408	+3.473	+1
298	tf_mobilenetv3_large_minimal_100	79.123	20.877	93.723	6.277	3.92	224	0.875	bilinear	+6.895	+3.041	-2
299	vgg16	79.031	20.968	93.635	6.365	138.36	224	0.875	bilinear	+7.403	+3.267	0
300	vgg13_bn	79.017	20.983	93.616	6.384	133.05	224	0.875	bilinear	+7.399	+3.256	0
301	gluon_resnet18_v1b	78.479	21.521	93.155	6.845	11.69	224	0.875	bicubic	+7.557	+3.385	0
302	vgg11_bn	77.998	22.002	93.144	6.856	132.87	224	0.875	bilinear	+7.590	+3.420	0
303	regnety_002	77.441	22.559	92.933	7.067	3.16	224	0.875	bicubic	+7.115	+3.377	0
304	vgg13	77.215	22.785	92.709	7.291	133.05	224	0.875	bilinear	+7.231	+3.403	0
305	resnet18	77.104	22.896	92.664	7.336	11.69	224	0.875	bilinear	+7.460	+3.682	0
306	vgg11	76.305	23.695	92.181	7.819	132.86	224	0.875	bilinear	+7.433	+3.523	0
307	regnetx_002	76.196	23.804	92.183	7.816	2.68	224	0.875	bicubic	+7.366	+3.673	0
308	dla60x_c	75.743	24.256	92.100	7.900	1.32	224	0.875	bilinear	+7.791	+3.662	0
309	tf_mobilenetv3_small_100	74.668	25.332	91.268	8.732	2.54	224	0.875	bilinear	+6.791	+3.586	0
310	dla46x_c	73.609	26.392	91.114	8.886	1.07	224	0.875	bilinear	+7.678	+4.110	0
311	tf_mobilenetv3_small_075	72.838	27.162	90.106	9.894	2.04	224	0.875	bilinear	+7.106	+3.938	0
312	dla46_c	72.624	27.376	90.552	9.448	1.30	224	0.875	bilinear	+7.694	+4.244	0
313	tf_mobilenetv3_small_minimal_100	69.934	30.066	88.571	11.429	2.04	224	0.875	bilinear	+7.190	+4.191	0