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	90.563	9.437	98.779	1.221	480.31	800	0.960	bicubic	+2.211	+0.129	0
3	tf_efficientnet_l2_ns_475	90.537	9.463	98.710	1.290	480.31	475	0.936	bicubic	+2.303	+0.164	0
4	cait_m48_448	90.196	9.804	98.484	1.516	356.46	448	1.000	bicubic	+3.712	+0.730	+2
5	tf_efficientnet_b7_ns	90.100	9.900	98.614	1.386	66.35	600	0.949	bicubic	+3.260	+0.520	0
6	cait_m36_384	90.046	9.954	98.493	1.507	271.22	384	1.000	bicubic	+3.992	+0.763	+7
7	swin_large_patch4_window12_384	90.027	9.973	98.657	1.343	196.74	384	1.000	bicubic	+2.879	+0.423	-3
8	tf_efficientnetv2_l_in21ft1k	90.008	9.992	98.619	1.381	118.52	480	1.000	bicubic	+3.704	+0.641	+2
9	swin_base_patch4_window12_384	89.995	10.005	98.695	1.304	87.90	384	1.000	bicubic	+3.563	+0.637	-1
10	dm_nfnet_f6	89.901	10.099	98.529	1.471	438.36	576	0.956	bicubic	+3.605	+0.785	+1
11	cait_s36_384	89.844	10.156	98.427	1.573	68.37	384	1.000	bicubic	+4.384	+0.947	+8
12	swin_large_patch4_window7_224	89.796	10.204	98.640	1.360	196.53	224	0.900	bicubic	+3.477	+0.744	-3
13	tf_efficientnet_b6_ns	89.782	10.218	98.510	1.490	43.04	528	0.942	bicubic	+3.330	+0.628	-6
14	tf_efficientnetv2_m_in21ft1k	89.775	10.225	98.503	1.497	54.14	480	1.000	bicubic	+4.187	+0.751	+2
15	tf_efficientnet_b5_ns	89.651	10.349	98.482	1.518	30.39	456	0.934	bicubic	+3.563	+0.730	-3
16	tf_efficientnet_b8_ap	89.581	10.419	98.305	1.695	87.41	672	0.954	bicubic	+4.211	+1.011	+7
17	cait_s24_384	89.502	10.498	98.362	1.638	47.06	384	1.000	bicubic	+4.456	+1.016	+12
18	tf_efficientnet_b7_ap	89.429	10.571	98.347	1.653	66.35	600	0.949	bicubic	+4.309	+1.096	+9
19	vit_deit_base_distilled_patch16_384	89.429	10.571	98.441	1.559	87.63	384	1.000	bicubic	+4.007	+1.109	+2
20	dm_nfnet_f3	89.393	10.607	98.315	1.685	254.92	416	0.940	bicubic	+3.833	+0.909	-3
21	tf_efficientnetv2_l	89.367	10.633	98.275	1.725	118.52	480	1.000	bicubic	+3.877	+0.903	-3
22	tf_efficientnet_b8	89.355	10.645	98.303	1.697	87.41	672	0.954	bicubic	+3.985	+0.913	0
23	tf_efficientnet_b6_ap	89.342	10.658	98.281	1.719	43.04	528	0.942	bicubic	+4.554	+1.143	+15
24	tf_efficientnet_b4_ns	89.305	10.694	98.347	1.653	19.34	380	0.922	bicubic	+4.143	+0.877	+1
25	dm_nfnet_f4	89.299	10.701	98.224	1.776	316.07	512	0.951	bicubic	+3.641	+0.714	-10
26	tf_efficientnetv2_m	89.284	10.716	98.236	1.764	54.14	480	1.000	bicubic	+4.240	+0.958	+4
27	dm_nfnet_f5	89.184	10.816	98.232	1.768	377.21	544	0.954	bicubic	+3.470	+0.790	-13
28	swin_base_patch4_window7_224	89.145	10.855	98.429	1.571	87.77	224	0.900	bicubic	+3.893	+0.867	-4
29	cait_xs24_384	89.139	10.861	98.290	1.710	26.67	384	1.000	bicubic	+5.077	+1.402	+26
30	ig_resnext101_32x48d	89.120	10.880	98.130	1.870	828.41	224	0.875	bilinear	+3.692	+0.558	-10
31	ig_resnext101_32x32d	89.111	10.889	98.181	1.819	468.53	224	0.875	bilinear	+4.017	+0.743	-3
32	tf_efficientnet_b7	89.086	10.914	98.183	1.817	66.35	600	0.949	bicubic	+4.150	+0.979	+3
33	ecaresnet269d	89.069	10.931	98.234	1.766	102.09	352	1.000	bicubic	+4.093	+1.008	0
34	efficientnetv2_rw_m	88.987	11.013	98.213	1.787	53.24	416	1.000	bicubic	+4.179	+1.065	+3
35	tf_efficientnet_b5_ap	88.938	11.062	98.164	1.836	30.39	456	0.934	bicubic	+4.686	+1.190	+14
36	tf_efficientnetv2_s_in21ft1k	88.904	11.096	98.277	1.723	21.46	384	1.000	bicubic	+4.602	+1.025	+10
37	dm_nfnet_f2	88.889	11.111	98.117	1.883	193.78	352	0.920	bicubic	+3.899	+0.973	-5
38	dm_nfnet_f1	88.853	11.147	98.093	1.907	132.63	320	0.910	bicubic	+4.249	+1.025	+2
39	resnetrs420	88.840	11.160	98.034	1.966	191.89	416	1.000	bicubic	+3.832	+0.910	-8
40	ig_resnext101_32x16d	88.834	11.166	98.049	1.951	194.03	224	0.875	bilinear	+4.664	+0.853	+11
41	resnetrs270	88.834	11.166	98.136	1.864	129.86	352	1.000	bicubic	+4.400	+1.166	+2
42	vit_base_r50_s16_384	88.808	11.192	98.232	1.768	98.95	384	1.000	bicubic	+3.836	+0.944	-8
43	seresnet152d	88.795	11.205	98.172	1.828	66.84	320	1.000	bicubic	+4.433	+1.132	+2
44	swsl_resnext101_32x8d	88.770	11.230	98.147	1.853	88.79	224	0.875	bilinear	+4.486	+0.971	+3
45	tf_efficientnet_b6	88.761	11.239	98.064	1.937	43.04	528	0.942	bicubic	+4.651	+1.178	+8
46	resnetrs350	88.759	11.241	98.029	1.971	163.96	384	1.000	bicubic	+4.039	+1.041	-7
47	vit_base_patch16_224_miil	88.737	11.262	98.027	1.973	86.54	224	0.875	bilinear	+4.469	+1.225	+1
48	resnetv2_152x2_bitm	88.699	11.301	98.337	1.663	236.34	480	1.000	bilinear	+4.259	+0.891	-6
49	regnety_160	88.697	11.303	98.068	1.932	83.59	288	1.000	bicubic	+5.011	+1.292	+16
50	pit_b_distilled_224	88.676	11.324	98.093	1.907	74.79	224	0.900	bicubic	+4.532	+1.237	+2
51	resnetrs200	88.605	11.395	98.034	1.966	93.21	320	1.000	bicubic	+4.539	+1.160	+3
52	eca_nfnet_l1	88.575	11.425	98.130	1.870	41.41	320	1.000	bicubic	+4.567	+1.102	+5
53	resnetv2_152x4_bitm	88.565	11.435	98.185	1.815	936.53	480	1.000	bilinear	+3.633	+0.749	-17
54	resnet200d	88.543	11.457	97.959	2.041	64.69	320	1.000	bicubic	+4.581	+1.135	+4
55	resnest269e	88.522	11.478	98.027	1.973	110.93	416	0.928	bicubic	+4.004	+1.041	-14
56	resnetv2_101x3_bitm	88.492	11.508	98.162	1.838	387.93	480	1.000	bilinear	+4.098	+0.800	-12
57	efficientnetv2_rw_s	88.473	11.527	97.974	2.026	23.94	384	1.000	bicubic	+4.665	+1.250	+5
58	cait_s24_224	88.447	11.553	97.957	2.043	46.92	224	1.000	bicubic	+4.995	+1.393	+10
59	resnest200e	88.432	11.568	98.042	1.958	70.20	320	0.909	bicubic	+4.600	+1.148	+1
60	tf_efficientnet_b3_ns	88.426	11.574	98.029	1.971	12.23	300	0.904	bicubic	+4.378	+1.119	-4
61	vit_large_patch16_384	88.407	11.593	98.187	1.813	304.72	384	1.000	bicubic	+3.249	+0.831	-35
62	tf_efficientnetv2_s	88.402	11.598	97.927	2.073	21.46	384	1.000	bicubic	+4.508	+1.229	-3
63	vit_base_patch16_384	88.389	11.611	98.155	1.845	86.86	384	1.000	bicubic	+4.180	+0.937	-13
64	efficientnet_b4	88.372	11.628	97.961	2.039	19.34	384	1.000	bicubic	+4.944	+1.365	+5
65	resnet152d	88.355	11.645	97.935	2.065	60.21	320	1.000	bicubic	+4.675	+1.197	+1
66	resnetv2_50x3_bitm	88.349	11.651	98.108	1.892	217.32	480	1.000	bilinear	+4.565	+1.002	-3
67	tf_efficientnet_b4_ap	88.349	11.651	97.893	2.107	19.34	380	0.922	bicubic	+5.101	+1.501	+6
68	tf_efficientnet_b5	88.321	11.679	97.912	2.088	30.39	456	0.934	bicubic	+4.509	+1.164	-7
69	resnetrs152	88.251	11.749	97.737	2.263	86.62	320	1.000	bicubic	+4.539	+1.123	-5
70	vit_deit_base_distilled_patch16_224	88.214	11.786	97.914	2.086	87.34	224	0.900	bicubic	+4.826	+1.426	0
71	ig_resnext101_32x8d	88.146	11.854	97.856	2.144	88.79	224	0.875	bilinear	+5.458	+1.220	+18
72	cait_xxs36_384	88.140	11.860	97.908	2.092	17.37	384	1.000	bicubic	+5.946	+1.760	+32
73	dm_nfnet_f0	88.112	11.888	97.837	2.163	71.49	256	0.900	bicubic	+4.770	+1.277	-1
74	swsl_resnext101_32x4d	88.099	11.901	97.967	2.033	44.18	224	0.875	bilinear	+4.869	+1.207	0
75	tf_efficientnet_b4	87.963	12.037	97.739	2.261	19.34	380	0.922	bicubic	+4.941	+1.439	+8
76	nfnet_l0	87.948	12.052	97.850	2.150	35.07	288	1.000	bicubic	+5.188	+1.352	+10
77	eca_nfnet_l0	87.943	12.057	97.861	2.139	24.14	288	1.000	bicubic	+5.355	+1.387	+14
78	resnet101d	87.941	12.059	97.908	2.092	44.57	320	1.000	bicubic	+4.919	+1.462	+4
79	regnety_032	87.937	12.063	97.891	2.109	19.44	288	1.000	bicubic	+5.213	+1.467	+8
80	twins_svt_large	87.901	12.099	97.581	2.419	99.27	224	0.900	bicubic	+4.223	+0.987	-13
81	twins_pcpvt_large	87.877	12.123	97.856	2.144	60.99	224	0.900	bicubic	+4.737	+1.258	-5
82	vit_deit_base_patch16_384	87.845	12.155	97.510	2.490	86.86	384	1.000	bicubic	+4.739	+1.138	-4
83	tresnet_xl_448	87.796	12.204	97.459	2.541	78.44	448	0.875	bilinear	+4.746	+1.285	-2
84	tresnet_m	87.736	12.264	97.523	2.477	31.39	224	0.875	bilinear	+4.656	+1.405	-5
85	twins_pcpvt_base	87.736	12.264	97.726	2.274	43.83	224	0.900	bicubic	+5.028	+1.380	+3
86	swin_small_patch4_window7_224	87.664	12.336	97.566	2.434	49.61	224	0.900	bicubic	+4.452	+1.244	-11
87	twins_svt_base	87.638	12.362	97.523	2.477	56.07	224	0.900	bicubic	+4.502	+1.105	-11
88	resnetv2_101x1_bitm	87.638	12.362	97.955	2.045	44.54	480	1.000	bilinear	+5.426	+1.483	+16
89	pnasnet5large	87.636	12.364	97.485	2.515	86.06	331	0.911	bicubic	+4.854	+1.445	-4
90	swsl_resnext101_32x16d	87.615	12.386	97.820	2.180	194.03	224	0.875	bilinear	+4.269	+0.974	-19
91	swsl_resnext50_32x4d	87.600	12.400	97.651	2.349	25.03	224	0.875	bilinear	+5.418	+1.421	+14
92	tf_efficientnet_b2_ns	87.557	12.443	97.628	2.372	9.11	260	0.890	bicubic	+5.177	+1.380	+2
93	levit_384	87.553	12.447	97.545	2.455	39.13	224	0.900	bicubic	+4.967	+1.529	-1
94	ecaresnet50t	87.538	12.462	97.643	2.357	25.57	320	0.950	bicubic	+5.192	+1.505	+2
95	efficientnet_b3	87.435	12.565	97.681	2.319	12.23	320	1.000	bicubic	+5.193	+1.567	+7
96	cait_xxs24_384	87.416	12.584	97.619	2.381	12.03	384	1.000	bicubic	+6.450	+1.973	+48
97	resnet51q	87.395	12.605	97.587	2.413	35.70	288	1.000	bilinear	+5.035	+1.407	-2
98	coat_lite_small	87.380	12.620	97.365	2.635	19.84	224	0.900	bicubic	+5.072	+1.515	-1
99	tresnet_l_448	87.377	12.623	97.485	2.515	55.99	448	0.875	bilinear	+5.109	+1.509	+2
100	nasnetalarge	87.350	12.650	97.417	2.583	88.75	331	0.911	bicubic	+4.730	+1.371	-10
101	ecaresnet101d	87.288	12.712	97.562	2.438	44.57	224	0.875	bicubic	+5.116	+1.516	+5
102	resnest101e	87.284	12.716	97.560	2.440	48.28	256	0.875	bilinear	+4.394	+1.240	-18
103	pit_s_distilled_224	87.277	12.723	97.500	2.500	24.04	224	0.900	bicubic	+5.281	+1.702	+7
104	resnetrs101	87.247	12.753	97.457	2.543	63.62	288	0.940	bicubic	+4.959	+1.449	-4
105	mixer_b16_224_miil	87.226	12.774	97.410	2.590	59.88	224	0.875	bilinear	+4.918	+1.694	-7
106	tresnet_xl	87.224	12.776	97.400	2.600	78.44	224	0.875	bilinear	+5.170	+1.463	+2
107	convit_base	87.200	12.800	97.286	2.714	86.54	224	0.875	bicubic	+4.910	+1.348	-8
108	tf_efficientnet_b3_ap	87.192	12.808	97.380	2.620	12.23	300	0.904	bicubic	+5.370	+1.756	+5
109	visformer_small	87.181	12.819	97.323	2.677	40.22	224	0.900	bicubic	+5.075	+1.451	-2
110	convit_small	87.053	12.947	97.350	2.650	27.78	224	0.875	bicubic	+5.627	+1.606	+17
111	tf_efficientnetv2_b3	87.032	12.968	97.303	2.697	14.36	300	0.904	bicubic	+5.062	+1.521	0
112	vit_base_patch32_384	87.019	12.981	97.654	2.346	88.30	384	1.000	bicubic	+5.367	+1.526	+5
113	vit_large_patch16_224	87.006	12.994	97.690	2.310	304.33	224	0.900	bicubic	+3.944	+1.252	-33
114	vit_deit_small_distilled_patch16_224	86.993	13.007	97.316	2.684	22.44	224	0.900	bicubic	+5.793	+1.938	+22
115	tnt_s_patch16_224	86.903	13.097	97.368	2.632	23.76	224	0.900	bicubic	+5.385	+1.620	+7
116	ssl_resnext101_32x16d	86.856	13.143	97.517	2.483	194.03	224	0.875	bilinear	+5.013	+1.421	-4
117	rexnet_200	86.846	13.154	97.276	2.724	16.37	224	0.875	bicubic	+5.214	+1.608	+2
118	tf_efficientnet_b3	86.835	13.165	97.297	2.703	12.23	300	0.904	bicubic	+5.199	+1.579	0
119	vit_deit_base_patch16_224	86.829	13.171	97.049	2.951	86.57	224	0.900	bicubic	+4.831	+1.315	-10
120	tresnet_m_448	86.820	13.180	97.212	2.788	31.39	448	0.875	bilinear	+5.106	+1.640	-5
121	ssl_resnext101_32x8d	86.807	13.193	97.466	2.534	88.79	224	0.875	bilinear	+5.191	+1.428	-1
122	swsl_resnet50	86.807	13.193	97.498	2.502	25.56	224	0.875	bilinear	+5.641	+1.526	+15
123	tf_efficientnet_lite4	86.803	13.197	97.263	2.737	13.01	380	0.920	bilinear	+5.267	+1.595	-2
124	coat_mini	86.793	13.207	97.162	2.837	10.34	224	0.900	bicubic	+5.525	+1.770	+9
125	vit_base_patch16_224	86.778	13.223	97.438	2.562	86.57	224	0.900	bicubic	+4.992	+1.316	-11
126	tresnet_l	86.767	13.233	97.271	2.729	55.99	224	0.875	bilinear	+5.277	+1.647	-1
127	twins_svt_small	86.756	13.244	97.175	2.825	24.06	224	0.900	bicubic	+5.074	+1.505	-11
128	levit_256	86.728	13.272	97.259	2.741	18.89	224	0.900	bicubic	+5.218	+1.769	-5
129	seresnext50_32x4d	86.699	13.301	97.214	2.786	27.56	224	0.875	bicubic	+5.433	+1.594	+5
130	pit_b_224	86.686	13.314	96.898	3.102	73.76	224	0.900	bicubic	+4.240	+1.188	-37
131	tf_efficientnet_b1_ns	86.669	13.331	97.378	2.622	7.79	240	0.882	bicubic	+5.281	+1.640	-3
132	swin_tiny_patch4_window7_224	86.664	13.336	97.197	2.803	28.29	224	0.900	bicubic	+5.286	+1.657	-3
133	gernet_l	86.654	13.346	97.186	2.814	31.08	256	0.875	bilinear	+5.300	+1.650	-3
134	wide_resnet50_2	86.647	13.353	97.214	2.786	68.88	224	0.875	bicubic	+5.191	+1.682	-8
135	efficientnet_el	86.635	13.366	97.175	2.825	10.59	300	0.904	bicubic	+5.319	+1.649	-4
136	twins_pcpvt_small	86.620	13.380	97.340	2.660	24.11	224	0.900	bicubic	+5.532	+1.698	+4
137	nf_resnet50	86.617	13.383	97.282	2.718	25.56	288	0.940	bicubic	+5.923	+1.926	+15
138	resnest50d_4s2x40d	86.592	13.408	97.269	2.731	30.42	224	0.875	bicubic	+5.484	+1.711	0
139	efficientnet_b3_pruned	86.581	13.419	97.190	2.810	9.86	300	0.904	bicubic	+5.723	+1.948	+9
140	repvgg_b3	86.566	13.434	97.139	2.861	123.09	224	0.875	bilinear	+6.074	+1.879	+17
141	ssl_resnext101_32x4d	86.479	13.521	97.468	2.532	44.18	224	0.875	bilinear	+5.555	+1.740	+4
142	ecaresnet50d	86.470	13.530	97.186	2.814	25.58	224	0.875	bicubic	+5.878	+1.866	+13
143	gluon_resnet152_v1s	86.468	13.532	97.109	2.891	60.32	224	0.875	bicubic	+5.452	+1.697	-2
144	resnest50d_1s4x24d	86.447	13.553	97.148	2.852	25.68	224	0.875	bicubic	+5.459	+1.826	-2
145	repvgg_b3g4	86.361	13.639	97.054	2.946	83.83	224	0.875	bilinear	+6.147	+1.944	+29
146	legacy_senet154	86.342	13.658	96.928	3.072	115.09	224	0.875	bilinear	+5.032	+1.432	-14
147	cait_xxs36_224	86.340	13.660	97.111	2.889	17.30	224	1.000	bicubic	+6.590	+2.245	+51
148	gernet_m	86.319	13.681	97.096	2.904	21.14	224	0.875	bilinear	+5.587	+1.912	+3
149	pit_s_224	86.316	13.684	97.045	2.955	23.46	224	0.900	bicubic	+5.222	+1.713	-10
150	efficientnet_b2	86.304	13.696	96.990	3.010	9.11	288	1.000	bicubic	+5.692	+1.672	+3
151	gluon_senet154	86.278	13.722	96.949	3.051	115.09	224	0.875	bicubic	+5.044	+1.601	-16
152	resnest50d	86.240	13.761	97.073	2.927	27.48	224	0.875	bilinear	+5.266	+1.695	-9
153	ecaresnet101d_pruned	86.207	13.793	97.335	2.665	24.88	224	0.875	bicubic	+5.389	+1.707	-4
154	efficientnet_el_pruned	86.192	13.807	97.026	2.974	10.59	300	0.904	bicubic	+5.892	+1.808	+14
155	cspdarknet53	86.182	13.818	97.013	2.987	27.64	256	0.887	bilinear	+6.124	+1.929	+26
156	inception_v4	86.169	13.831	96.919	3.081	42.68	299	0.875	bicubic	+6.001	+1.951	+21
157	resnetv2_50x1_bitm	86.154	13.846	97.560	2.440	25.55	480	1.000	bilinear	+5.982	+1.934	+19
158	rexnet_150	86.154	13.846	97.058	2.942	9.73	224	0.875	bicubic	+5.844	+1.892	+8
159	inception_resnet_v2	86.133	13.867	97.043	2.957	55.84	299	0.897	bicubic	+5.675	+1.737	+2
160	ssl_resnext50_32x4d	86.086	13.914	97.212	2.788	25.03	224	0.875	bilinear	+5.768	+1.806	+5
161	tf_efficientnet_el	86.084	13.916	96.964	3.036	10.59	300	0.904	bicubic	+5.834	+1.836	+10
162	gluon_resnet101_v1s	86.054	13.946	97.022	2.978	44.67	224	0.875	bicubic	+5.752	+1.862	+5
163	ecaresnetlight	86.052	13.948	97.069	2.931	30.16	224	0.875	bicubic	+5.590	+1.819	-3
164	gluon_seresnext101_32x4d	86.032	13.968	96.977	3.023	48.96	224	0.875	bicubic	+5.128	+1.683	-18
165	resnet50d	86.009	13.991	96.979	3.021	25.58	224	0.875	bicubic	+5.479	+1.819	-9
166	ecaresnet26t	85.983	14.017	97.041	2.959	16.01	320	0.950	bicubic	+6.129	+1.957	+27
167	tf_efficientnet_b2_ap	85.975	14.025	96.810	3.190	9.11	260	0.890	bicubic	+5.675	+1.782	+2
168	gluon_seresnext101_64x4d	85.960	14.040	96.979	3.021	88.23	224	0.875	bicubic	+5.066	+1.671	-21
169	gluon_resnet152_v1d	85.917	14.083	96.812	3.188	60.21	224	0.875	bicubic	+5.443	+1.606	-10
170	vit_large_patch32_384	85.909	14.091	97.368	2.632	306.63	384	1.000	bicubic	+4.403	+1.276	-46
171	tf_efficientnet_b2	85.902	14.098	96.862	3.139	9.11	260	0.890	bicubic	+5.816	+1.954	+9
172	tf_efficientnetv2_b2	85.900	14.100	96.889	3.111	10.10	260	0.890	bicubic	+5.692	+1.847	+3
173	seresnet50	85.857	14.143	97.004	2.995	28.09	224	0.875	bicubic	+5.583	+1.934	-3
174	repvgg_b2g4	85.855	14.145	96.812	3.188	61.76	224	0.875	bilinear	+6.489	+2.124	+39
175	gluon_resnet101_v1d	85.849	14.151	96.663	3.337	44.57	224	0.875	bicubic	+5.435	+1.649	-13
176	resnet50	85.804	14.196	96.712	3.288	25.56	224	0.875	bicubic	+6.766	+2.322	+60
177	mixnet_xl	85.798	14.202	96.712	3.288	11.90	224	0.875	bicubic	+5.322	+1.776	-19
178	ens_adv_inception_resnet_v2	85.781	14.220	96.759	3.241	55.84	299	0.897	bicubic	+5.799	+1.823	+6
179	tf_efficientnet_lite3	85.755	14.245	96.887	3.113	8.20	300	0.904	bilinear	+5.935	+1.973	+17
180	ese_vovnet39b	85.751	14.249	96.891	3.109	24.57	224	0.875	bicubic	+6.431	+2.179	+35
181	gluon_resnext101_32x4d	85.746	14.254	96.635	3.365	44.18	224	0.875	bicubic	+5.412	+1.709	-17
182	legacy_seresnext101_32x4d	85.746	14.254	96.757	3.243	48.96	224	0.875	bilinear	+5.518	+1.739	-9
183	cspresnext50	85.740	14.260	96.840	3.160	20.57	224	0.875	bilinear	+5.700	+1.896	-1
184	regnety_320	85.727	14.273	96.725	3.275	145.05	224	0.875	bicubic	+4.915	+1.481	-34
185	cspresnet50	85.721	14.279	96.795	3.205	21.62	256	0.887	bilinear	+6.147	+2.083	+21
186	xception71	85.697	14.303	96.776	3.224	42.34	299	0.903	bicubic	+5.823	+1.854	+4
187	gluon_resnext101_64x4d	85.693	14.307	96.644	3.356	83.46	224	0.875	bicubic	+5.089	+1.656	-33
188	efficientnet_em	85.684	14.316	96.938	3.062	6.90	240	0.882	bicubic	+6.432	+2.144	+36
189	vit_deit_small_patch16_224	85.678	14.322	96.906	3.094	22.05	224	0.900	bicubic	+5.822	+1.854	+3
190	pit_xs_distilled_224	85.657	14.343	96.667	3.333	11.00	224	0.900	bicubic	+6.351	+2.303	+30
191	efficientnet_b2_pruned	85.642	14.358	96.746	3.254	8.31	260	0.890	bicubic	+5.726	+1.890	-5
192	dpn107	85.640	14.360	96.729	3.271	86.92	224	0.875	bicubic	+5.484	+1.819	-14
193	ecaresnet50d_pruned	85.580	14.420	96.936	3.064	19.94	224	0.875	bicubic	+5.864	+2.056	+7
194	gluon_resnet152_v1c	85.580	14.420	96.646	3.354	60.21	224	0.875	bicubic	+5.670	+1.806	-7
195	levit_192	85.580	14.420	96.740	3.260	10.95	224	0.900	bicubic	+5.738	+1.954	-1
196	resnext50d_32x4d	85.569	14.431	96.748	3.252	25.05	224	0.875	bicubic	+5.893	+1.882	+7
197	tf_efficientnetv2_b1	85.561	14.439	96.727	3.273	8.14	240	0.882	bicubic	+6.099	+2.005	+14
198	regnety_120	85.543	14.457	96.785	3.215	51.82	224	0.875	bicubic	+5.177	+1.659	-35
199	regnetx_320	85.524	14.476	96.669	3.331	107.81	224	0.875	bicubic	+5.278	+1.643	-27
200	nf_regnet_b1	85.499	14.501	96.799	3.200	10.22	288	0.900	bicubic	+6.193	+2.051	+19
201	dpn92	85.494	14.506	96.635	3.365	37.67	224	0.875	bicubic	+5.486	+1.799	-18
202	gluon_resnet152_v1b	85.475	14.525	96.550	3.450	60.19	224	0.875	bicubic	+5.789	+1.814	0
203	rexnet_130	85.473	14.527	96.684	3.316	7.56	224	0.875	bicubic	+5.973	+2.002	+6
204	resnetrs50	85.462	14.538	96.736	3.264	35.69	224	0.910	bicubic	+5.570	+1.767	-16
205	dpn131	85.398	14.602	96.639	3.361	79.25	224	0.875	bicubic	+5.576	+1.929	-10
206	regnetx_160	85.390	14.610	96.637	3.363	54.28	224	0.875	bicubic	+5.534	+1.807	-15
207	dla102x2	85.366	14.634	96.629	3.371	41.28	224	0.875	bilinear	+5.918	+1.989	+5
208	gluon_seresnext50_32x4d	85.336	14.664	96.667	3.333	27.56	224	0.875	bicubic	+5.418	+1.845	-23
209	xception65	85.315	14.685	96.637	3.363	39.92	299	0.903	bicubic	+5.763	+1.983	-2
210	skresnext50_32x4d	85.313	14.687	96.390	3.610	27.48	224	0.875	bicubic	+5.157	+1.748	-31
211	dpn98	85.311	14.689	96.469	3.531	61.57	224	0.875	bicubic	+5.669	+1.871	-7
212	gluon_resnet101_v1c	85.304	14.696	96.405	3.595	44.57	224	0.875	bicubic	+5.770	+1.827	-4
213	dpn68b	85.291	14.709	96.464	3.536	12.61	224	0.875	bicubic	+6.076	+2.050	+14
214	regnety_064	85.283	14.717	96.639	3.361	30.58	224	0.875	bicubic	+5.561	+1.871	-15
215	resnetblur50	85.283	14.717	96.531	3.470	25.56	224	0.875	bicubic	+5.997	+1.892	+7
216	coat_lite_mini	85.251	14.749	96.680	3.320	11.01	224	0.900	bicubic	+6.163	+2.076	+15
217	regnety_080	85.245	14.755	96.633	3.367	39.18	224	0.875	bicubic	+5.369	+1.803	-28
218	cait_xxs24_224	85.228	14.773	96.712	3.288	11.96	224	1.000	bicubic	+6.842	+2.402	+43
219	resnext50_32x4d	85.221	14.779	96.526	3.474	25.03	224	0.875	bicubic	+5.453	+1.928	-22
220	resnext101_32x8d	85.187	14.813	96.445	3.555	88.79	224	0.875	bilinear	+5.879	+1.927	-4
221	gluon_inception_v3	85.183	14.817	96.526	3.474	23.83	299	0.875	bicubic	+6.377	+2.156	+21
222	hrnet_w48	85.151	14.849	96.492	3.508	77.47	224	0.875	bilinear	+5.851	+1.980	-1
223	gluon_xception65	85.148	14.851	96.597	3.403	39.92	299	0.903	bicubic	+5.433	+1.737	-22
224	gluon_resnet101_v1b	85.142	14.858	96.366	3.634	44.55	224	0.875	bicubic	+5.836	+1.842	-6
225	regnetx_120	85.131	14.869	96.477	3.523	46.11	224	0.875	bicubic	+5.535	+1.739	-20
226	xception	85.129	14.871	96.471	3.529	22.86	299	0.897	bicubic	+6.077	+2.079	+9
227	tf_efficientnet_b1_ap	85.127	14.873	96.405	3.595	7.79	240	0.882	bicubic	+5.847	+2.099	-4
228	hrnet_w64	85.119	14.881	96.744	3.256	128.06	224	0.875	bilinear	+5.645	+2.092	-18
229	ssl_resnet50	85.097	14.903	96.866	3.134	25.56	224	0.875	bilinear	+5.875	+2.034	-4
230	res2net101_26w_4s	85.093	14.907	96.381	3.619	45.21	224	0.875	bilinear	+5.895	+1.949	-1
231	tf_efficientnet_cc_b1_8e	85.063	14.937	96.422	3.578	39.72	240	0.882	bicubic	+5.755	+2.052	-14
232	res2net50_26w_8s	85.029	14.971	96.419	3.580	48.40	224	0.875	bilinear	+5.831	+2.052	-4
233	resnest26d	85.008	14.992	96.637	3.363	17.07	224	0.875	bilinear	+6.530	+2.339	+22
234	gluon_resnext50_32x4d	84.995	15.005	96.426	3.574	25.03	224	0.875	bicubic	+5.641	+2.000	-20
235	tf_efficientnet_b0_ns	84.984	15.016	96.503	3.497	5.29	224	0.875	bicubic	+6.326	+2.127	+14
236	coat_tiny	84.976	15.024	96.409	3.591	5.50	224	0.900	bicubic	+6.542	+2.371	+23
237	regnety_040	84.948	15.052	96.612	3.388	20.65	224	0.875	bicubic	+5.728	+1.956	-11
238	dla169	84.920	15.080	96.535	3.465	53.39	224	0.875	bilinear	+6.232	+2.199	+9
239	tf_efficientnet_b1	84.918	15.082	96.364	3.636	7.79	240	0.882	bicubic	+6.092	+2.166	+2
240	legacy_seresnext50_32x4d	84.901	15.099	96.434	3.566	27.56	224	0.875	bilinear	+5.823	+1.998	-8
241	hrnet_w44	84.884	15.116	96.434	3.566	67.06	224	0.875	bilinear	+5.988	+2.066	-2
242	regnetx_080	84.862	15.138	96.434	3.566	39.57	224	0.875	bicubic	+5.668	+1.874	-12
243	gluon_resnet50_v1s	84.860	15.140	96.443	3.557	25.68	224	0.875	bicubic	+6.150	+2.205	+3
244	levit_128	84.843	15.157	96.360	3.640	9.21	224	0.900	bicubic	+6.357	+2.350	+9
245	gluon_resnet50_v1d	84.832	15.168	96.398	3.602	25.58	224	0.875	bicubic	+5.758	+1.928	-12
246	dla60_res2next	84.830	15.170	96.411	3.589	17.03	224	0.875	bilinear	+6.390	+2.259	+12
247	mixnet_l	84.822	15.178	96.328	3.672	7.33	224	0.875	bicubic	+5.846	+2.146	-10
248	tv_resnet152	84.815	15.185	96.225	3.775	60.19	224	0.875	bilinear	+6.503	+2.187	+17
249	dla102x	84.813	15.187	96.552	3.448	26.31	224	0.875	bilinear	+6.303	+2.324	+2
250	dla60_res2net	84.813	15.187	96.481	3.519	20.85	224	0.875	bilinear	+6.349	+2.275	+7
251	pit_xs_224	84.792	15.208	96.492	3.508	10.62	224	0.900	bicubic	+6.610	+2.324	+19
252	xception41	84.792	15.208	96.413	3.587	26.97	299	0.903	bicubic	+6.276	+2.135	-1
253	regnetx_064	84.781	15.219	96.490	3.510	26.21	224	0.875	bicubic	+5.709	+2.032	-19
254	hrnet_w40	84.743	15.257	96.554	3.446	57.56	224	0.875	bilinear	+5.823	+2.084	-16
255	res2net50_26w_6s	84.726	15.274	96.281	3.719	37.05	224	0.875	bilinear	+6.156	+2.157	-5
256	repvgg_b2	84.724	15.276	96.469	3.531	89.02	224	0.875	bilinear	+5.932	+2.055	-12
257	legacy_seresnet152	84.704	15.296	96.417	3.583	66.82	224	0.875	bilinear	+6.044	+2.047	-9
258	selecsls60b	84.657	15.343	96.300	3.700	32.77	224	0.875	bicubic	+6.245	+2.126	+2
259	hrnet_w32	84.651	15.349	96.407	3.593	41.23	224	0.875	bilinear	+6.201	+2.221	-2
260	tf_efficientnetv2_b0	84.625	15.375	96.274	3.726	7.14	224	0.875	bicubic	+6.269	+2.250	+4
261	efficientnet_b1	84.608	15.392	96.332	3.668	7.79	256	1.000	bicubic	+5.814	+1.990	-18
262	regnetx_040	84.600	15.400	96.383	3.617	22.12	224	0.875	bicubic	+6.118	+2.139	-8
263	efficientnet_es	84.591	15.409	96.311	3.689	5.44	224	0.875	bicubic	+6.525	+2.385	+12
264	hrnet_w30	84.572	15.428	96.388	3.612	37.71	224	0.875	bilinear	+6.366	+2.166	+5
265	tf_mixnet_l	84.564	15.437	96.244	3.756	7.33	224	0.875	bicubic	+5.790	+2.246	-20
266	wide_resnet101_2	84.557	15.443	96.349	3.651	126.89	224	0.875	bilinear	+5.701	+2.067	-26
267	dla60x	84.523	15.477	96.285	3.715	17.35	224	0.875	bilinear	+6.277	+2.267	-1
268	legacy_seresnet101	84.504	15.496	96.330	3.670	49.33	224	0.875	bilinear	+6.122	+2.066	-6
269	coat_lite_tiny	84.450	15.550	96.368	3.632	5.72	224	0.900	bicubic	+6.938	+2.452	+27
270	tf_efficientnet_em	84.450	15.550	96.180	3.820	6.90	240	0.882	bicubic	+6.320	+2.136	+3
271	repvgg_b1	84.416	15.584	96.221	3.779	57.42	224	0.875	bilinear	+6.050	+2.123	-8
272	efficientnet_b1_pruned	84.393	15.607	96.140	3.860	6.33	240	0.882	bicubic	+6.157	+2.306	-4
273	res2net50_26w_4s	84.365	15.635	96.082	3.918	25.70	224	0.875	bilinear	+6.401	+2.228	+7
274	hardcorenas_f	84.326	15.674	96.025	3.975	8.20	224	0.875	bilinear	+6.222	+2.222	0
275	res2net50_14w_8s	84.309	15.691	96.072	3.929	25.06	224	0.875	bilinear	+6.159	+2.224	-3
276	selecsls60	84.288	15.712	96.095	3.905	30.67	224	0.875	bicubic	+6.306	+2.267	+3
277	regnetx_032	84.237	15.763	96.247	3.753	15.30	224	0.875	bicubic	+6.065	+2.159	-6
278	res2next50	84.226	15.774	95.997	4.003	24.67	224	0.875	bilinear	+5.980	+2.105	-11
279	gluon_resnet50_v1c	84.207	15.793	96.161	3.839	25.58	224	0.875	bicubic	+6.195	+2.173	-2
280	dla102	84.190	15.810	96.206	3.794	33.27	224	0.875	bilinear	+6.158	+2.260	-4
281	rexnet_100	84.162	15.838	96.255	3.745	4.80	224	0.875	bicubic	+6.304	+2.839	+5
282	tf_inception_v3	84.134	15.866	95.920	4.080	23.83	299	0.875	bicubic	+6.276	+2.050	+2
283	res2net50_48w_2s	84.126	15.874	95.965	4.035	25.29	224	0.875	bilinear	+6.604	+2.411	+12
284	resnet34d	84.098	15.902	95.978	4.022	21.82	224	0.875	bicubic	+6.982	+2.596	+23
285	tf_efficientnet_lite2	84.094	15.906	96.069	3.931	6.09	260	0.890	bicubic	+6.626	+2.315	+12
286	efficientnet_b0	84.038	15.962	95.956	4.044	5.29	224	0.875	bicubic	+6.340	+2.424	+2
287	hardcorenas_e	83.968	16.032	95.898	4.101	8.07	224	0.875	bilinear	+6.174	+2.204	0
288	tf_efficientnet_cc_b0_8e	83.966	16.034	96.065	3.935	24.01	224	0.875	bicubic	+6.058	+2.411	-6
289	tv_resnext50_32x4d	83.959	16.041	95.960	4.040	25.03	224	0.875	bilinear	+6.339	+2.264	+1
290	regnety_016	83.955	16.045	96.005	3.995	11.20	224	0.875	bicubic	+6.093	+2.285	-7
291	gluon_resnet50_v1b	83.940	16.060	96.012	3.988	25.56	224	0.875	bicubic	+6.360	+2.296	+3
292	densenet161	83.906	16.094	96.010	3.990	28.68	224	0.875	bicubic	+6.548	+2.372	+9
293	adv_inception_v3	83.902	16.098	95.935	4.065	23.83	299	0.875	bicubic	+6.320	+2.199	0
294	mobilenetv2_120d	83.893	16.107	95.909	4.091	5.83	224	0.875	bicubic	+6.609	+2.417	+10
295	seresnext26t_32x4d	83.878	16.122	95.931	4.069	16.81	224	0.875	bicubic	+5.892	+2.185	-17
296	tv_resnet101	83.848	16.152	95.892	4.108	44.55	224	0.875	bilinear	+6.474	+2.352	+4
297	inception_v3	83.761	16.239	95.879	4.121	23.83	299	0.875	bicubic	+6.323	+2.403	+1
298	hardcorenas_d	83.759	16.241	95.734	4.266	7.50	224	0.875	bilinear	+6.327	+2.250	+1
299	seresnext26d_32x4d	83.754	16.246	95.849	4.151	16.81	224	0.875	bicubic	+6.152	+2.241	-8
300	vit_small_patch16_224	83.735	16.265	95.758	4.242	48.75	224	0.900	bicubic	+5.877	+2.118	-15
301	dla60	83.729	16.271	95.933	4.067	22.04	224	0.875	bilinear	+6.697	+2.615	+10
302	repvgg_b1g4	83.699	16.301	96.020	3.980	39.97	224	0.875	bilinear	+6.105	+2.194	-10
303	legacy_seresnet50	83.662	16.337	95.973	4.027	28.09	224	0.875	bilinear	+6.032	+2.225	-14
304	tf_efficientnet_b0_ap	83.650	16.350	95.779	4.221	5.29	224	0.875	bicubic	+6.564	+2.523	+5
305	skresnet34	83.641	16.359	95.933	4.067	22.28	224	0.875	bicubic	+6.729	+2.611	+10
306	tf_efficientnet_cc_b0_4e	83.639	16.361	95.740	4.260	13.31	224	0.875	bicubic	+6.333	+2.406	-4
307	densenet201	83.556	16.444	95.811	4.189	20.01	224	0.875	bicubic	+6.270	+2.333	-4
308	mobilenetv3_large_100_miil	83.556	16.444	95.452	4.548	5.48	224	0.875	bilinear	+5.640	+2.542	-27
309	gernet_s	83.522	16.478	95.794	4.206	8.17	224	0.875	bilinear	+6.606	+2.662	+5
310	legacy_seresnext26_32x4d	83.517	16.483	95.719	4.281	16.79	224	0.875	bicubic	+6.413	+2.403	-2
311	tf_efficientnet_b0	83.515	16.485	95.719	4.281	5.29	224	0.875	bicubic	+6.667	+2.491	+4
312	mixnet_m	83.515	16.485	95.689	4.311	5.01	224	0.875	bicubic	+6.255	+2.265	-6
313	hrnet_w18	83.500	16.500	95.907	4.093	21.30	224	0.875	bilinear	+6.742	+2.463	+5
314	densenetblur121d	83.472	16.527	95.822	4.178	8.00	224	0.875	bicubic	+6.885	+2.630	+9
315	selecsls42b	83.457	16.543	95.745	4.255	32.46	224	0.875	bicubic	+6.283	+2.355	-9
316	tf_efficientnet_lite1	83.344	16.656	95.642	4.358	5.42	240	0.882	bicubic	+6.702	+2.416	+4
317	hardcorenas_c	83.342	16.658	95.706	4.294	5.52	224	0.875	bilinear	+6.288	+2.548	-7
318	regnetx_016	83.195	16.805	95.740	4.260	9.19	224	0.875	bicubic	+6.245	+2.320	-6
319	mobilenetv2_140	83.182	16.818	95.689	4.311	6.11	224	0.875	bicubic	+6.666	+2.693	+7
320	dpn68	83.178	16.822	95.597	4.402	12.61	224	0.875	bicubic	+6.860	+2.620	+8
321	tf_efficientnet_es	83.178	16.822	95.585	4.415	5.44	224	0.875	bicubic	+6.584	+2.383	+1
322	tf_mixnet_m	83.176	16.824	95.461	4.539	5.01	224	0.875	bicubic	+6.234	+2.309	-9
323	ese_vovnet19b_dw	83.109	16.890	95.779	4.221	6.54	224	0.875	bicubic	+6.311	+2.511	-6
324	levit_128s	83.069	16.931	95.531	4.469	7.78	224	0.900	bicubic	+6.539	+2.665	+1
325	resnet26d	83.050	16.950	95.604	4.396	16.01	224	0.875	bicubic	+6.354	+2.454	-6
326	repvgg_a2	83.001	16.999	95.589	4.411	28.21	224	0.875	bilinear	+6.541	+2.585	+1
327	tv_resnet50	82.958	17.042	95.467	4.533	25.56	224	0.875	bilinear	+6.820	+2.603	+3
328	hardcorenas_b	82.873	17.128	95.392	4.607	5.18	224	0.875	bilinear	+6.335	+2.638	-4
329	densenet121	82.823	17.177	95.585	4.415	7.98	224	0.875	bicubic	+7.245	+2.933	+8
330	densenet169	82.683	17.317	95.600	4.400	14.15	224	0.875	bicubic	+6.776	+2.574	+3
331	mixnet_s	82.525	17.476	95.356	4.644	4.13	224	0.875	bicubic	+6.532	+2.560	0
332	regnety_008	82.493	17.508	95.487	4.513	6.26	224	0.875	bicubic	+6.177	+2.421	-3
333	efficientnet_lite0	82.382	17.619	95.279	4.721	4.65	224	0.875	bicubic	+6.898	+2.769	+7
334	resnest14d	82.352	17.648	95.339	4.661	10.61	224	0.875	bilinear	+6.846	+2.821	+5
335	hardcorenas_a	82.313	17.687	95.294	4.706	5.26	224	0.875	bilinear	+6.397	+2.780	-3
336	efficientnet_es_pruned	82.296	17.704	95.303	4.697	5.44	224	0.875	bicubic	+7.296	+2.855	+14
337	mobilenetv3_rw	82.275	17.725	95.234	4.766	5.48	224	0.875	bicubic	+6.641	+2.526	-1
338	semnasnet_100	82.251	17.749	95.230	4.770	3.89	224	0.875	bicubic	+6.803	+2.626	+3
339	mobilenetv3_large_100	82.177	17.823	95.196	4.804	5.48	224	0.875	bicubic	+6.410	+2.654	-5
340	resnet34	82.138	17.862	95.130	4.870	21.80	224	0.875	bilinear	+7.028	+2.846	+7
341	mobilenetv2_110d	82.070	17.930	95.076	4.923	4.52	224	0.875	bicubic	+7.034	+2.890	+8
342	tf_mixnet_s	82.038	17.962	95.121	4.879	4.13	224	0.875	bicubic	+6.388	+2.493	-7
343	repvgg_b0	82.001	17.999	95.100	4.900	15.82	224	0.875	bilinear	+6.849	+2.682	+1
344	vit_deit_tiny_distilled_patch16_224	81.997	18.003	95.141	4.859	5.91	224	0.900	bicubic	+7.487	+3.251	+14
345	mixer_b16_224	81.978	18.022	94.449	5.551	59.88	224	0.875	bicubic	+5.376	+2.221	-24
346	pit_ti_distilled_224	81.967	18.033	95.145	4.855	5.10	224	0.900	bicubic	+7.437	+3.049	+11
347	hrnet_w18_small_v2	81.961	18.039	95.164	4.836	15.60	224	0.875	bilinear	+6.847	+2.748	-1
348	tf_efficientnet_lite0	81.952	18.048	95.168	4.832	4.65	224	0.875	bicubic	+7.122	+2.992	+3
349	resnet26	81.944	18.056	95.241	4.759	16.00	224	0.875	bicubic	+6.652	+2.671	-7
350	tf_mobilenetv3_large_100	81.848	18.152	95.070	4.930	5.48	224	0.875	bilinear	+6.330	+2.464	-12
351	tv_densenet121	81.726	18.274	95.034	4.966	7.98	224	0.875	bicubic	+6.988	+2.884	+2
352	regnety_006	81.700	18.300	95.115	4.885	6.06	224	0.875	bicubic	+6.454	+2.583	-9
353	dla34	81.658	18.342	94.878	5.122	15.74	224	0.875	bilinear	+7.028	+2.800	+2
354	fbnetc_100	81.559	18.441	94.970	5.030	5.57	224	0.875	bilinear	+6.436	+2.584	-9
355	legacy_seresnet34	81.534	18.466	94.899	5.101	21.96	224	0.875	bilinear	+6.726	+2.775	-3
356	gluon_resnet34_v1b	81.500	18.500	94.810	5.190	21.80	224	0.875	bicubic	+6.912	+2.820	0
357	regnetx_008	81.485	18.515	95.059	4.941	7.26	224	0.875	bicubic	+6.447	+2.724	-9
358	mnasnet_100	81.459	18.541	94.899	5.101	4.38	224	0.875	bicubic	+6.801	+2.785	-4
359	vgg19_bn	81.444	18.556	94.763	5.237	143.68	224	0.875	bilinear	+7.230	+2.921	0
360	convit_tiny	81.126	18.874	95.044	4.955	5.71	224	0.875	bicubic	+8.010	+3.331	+8
361	spnasnet_100	80.878	19.122	94.526	5.474	4.42	224	0.875	bilinear	+6.794	+2.708	-1
362	ghostnet_100	80.699	19.301	94.291	5.709	5.18	224	0.875	bilinear	+6.721	+2.835	0
363	regnety_004	80.659	19.341	94.686	5.314	4.34	224	0.875	bicubic	+6.624	+2.934	-2
364	skresnet18	80.637	19.363	94.378	5.622	11.96	224	0.875	bicubic	+7.599	+3.210	+5
365	regnetx_006	80.629	19.371	94.524	5.476	6.20	224	0.875	bicubic	+6.777	+2.852	-2
366	pit_ti_224	80.605	19.395	94.618	5.383	4.85	224	0.900	bicubic	+7.693	+3.216	+5
367	swsl_resnet18	80.575	19.425	94.743	5.256	11.69	224	0.875	bilinear	+7.299	+3.010	0
368	vgg16_bn	80.556	19.444	94.592	5.408	138.37	224	0.875	bilinear	+7.206	+3.086	-3
369	tv_resnet34	80.389	19.611	94.436	5.564	21.80	224	0.875	bilinear	+7.077	+3.010	-3
370	resnet18d	80.387	19.613	94.252	5.748	11.71	224	0.875	bicubic	+8.127	+3.556	+6
371	mobilenetv2_100	80.257	19.743	94.195	5.805	3.50	224	0.875	bicubic	+7.287	+3.179	-1
372	ssl_resnet18	80.101	19.899	94.590	5.410	11.69	224	0.875	bilinear	+7.491	+3.174	0
373	tf_mobilenetv3_large_075	80.093	19.907	94.184	5.816	3.99	224	0.875	bilinear	+6.655	+2.834	-9
374	vit_deit_tiny_patch16_224	80.018	19.982	94.449	5.551	5.72	224	0.900	bicubic	+7.850	+3.331	+4
375	hrnet_w18_small	79.557	20.443	93.898	6.102	13.19	224	0.875	bilinear	+7.213	+3.220	0
376	vgg19	79.480	20.520	93.870	6.130	143.67	224	0.875	bilinear	+7.112	+2.998	-2
377	regnetx_004	79.435	20.565	93.853	6.147	5.16	224	0.875	bicubic	+7.039	+3.023	-4
378	tf_mobilenetv3_large_minimal_100	79.222	20.778	93.706	6.294	3.92	224	0.875	bilinear	+6.974	+3.076	-1
379	legacy_seresnet18	79.153	20.847	93.783	6.217	11.78	224	0.875	bicubic	+7.411	+3.449	+1
380	vgg16	79.038	20.962	93.646	6.354	138.36	224	0.875	bilinear	+7.444	+3.264	+2
381	vgg13_bn	79.006	20.994	93.655	6.345	133.05	224	0.875	bilinear	+7.412	+3.279	0
382	gluon_resnet18_v1b	78.372	21.628	93.138	6.862	11.69	224	0.875	bicubic	+7.536	+3.376	+1
383	vgg11_bn	77.926	22.074	93.230	6.770	132.87	224	0.875	bilinear	+7.566	+3.428	+1
384	regnety_002	77.405	22.595	92.914	7.086	3.16	224	0.875	bicubic	+7.153	+3.374	+1
385	mixer_l16_224	77.285	22.715	90.582	9.418	208.20	224	0.875	bicubic	+5.227	+2.914	-6
386	resnet18	77.276	22.724	92.756	7.244	11.69	224	0.875	bilinear	+7.528	+3.678	+1
387	vgg13	77.230	22.770	92.689	7.311	133.05	224	0.875	bilinear	+7.303	+3.444	-1
388	vgg11	76.384	23.616	92.154	7.846	132.86	224	0.875	bilinear	+7.360	+3.526	0
389	regnetx_002	76.124	23.876	92.211	7.789	2.68	224	0.875	bicubic	+7.362	+3.655	0
390	dla60x_c	75.637	24.363	92.177	7.823	1.32	224	0.875	bilinear	+7.745	+3.751	+1
391	tf_mobilenetv3_small_100	74.717	25.283	91.257	8.743	2.54	224	0.875	bilinear	+6.795	+3.593	-1
392	dla46x_c	73.647	26.353	91.095	8.905	1.07	224	0.875	bilinear	+7.677	+4.115	0
393	tf_mobilenetv3_small_075	72.812	27.188	90.036	9.964	2.04	224	0.875	bilinear	+7.096	+3.906	0
394	dla46_c	72.601	27.399	90.499	9.501	1.30	224	0.875	bilinear	+7.737	+4.207	0
395	tf_mobilenetv3_small_minimal_100	70.111	29.889	88.505	11.495	2.04	224	0.875	bilinear	+7.205	+4.275	0