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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation
2	tf_efficientnet_l2_ns	88.352	11.648	98.650	1.350	480.31	800	0.960	bicubic
3	tf_efficientnet_l2_ns_475	88.234	11.766	98.546	1.454	480.31	475	0.936	bicubic
4	swin_large_patch4_window12_384	87.148	12.852	98.234	1.766	196.74	384	1.000	bicubic
5	tf_efficientnet_b7_ns	86.840	13.160	98.094	1.906	66.35	600	0.949	bicubic
6	cait_m48_448	86.484	13.516	97.754	2.246	356.46	448	1.000	bicubic
7	tf_efficientnet_b6_ns	86.452	13.548	97.882	2.118	43.04	528	0.942	bicubic
8	swin_base_patch4_window12_384	86.432	13.568	98.058	1.942	87.90	384	1.000	bicubic
9	swin_large_patch4_window7_224	86.320	13.680	97.896	2.104	196.53	224	0.900	bicubic
10	tf_efficientnetv2_l_in21ft1k	86.304	13.696	97.978	2.022	118.52	480	1.000	bicubic
11	dm_nfnet_f6	86.296	13.704	97.744	2.256	438.36	576	0.956	bicubic
12	tf_efficientnet_b5_ns	86.088	13.912	97.752	2.248	30.39	456	0.934	bicubic
13	cait_m36_384	86.054	13.946	97.730	2.270	271.22	384	1.000	bicubic
14	dm_nfnet_f5	85.714	14.286	97.442	2.558	377.21	544	0.954	bicubic
15	dm_nfnet_f4	85.658	14.342	97.510	2.490	316.07	512	0.951	bicubic
16	tf_efficientnetv2_m_in21ft1k	85.588	14.412	97.752	2.248	54.14	480	1.000	bicubic
17	dm_nfnet_f3	85.560	14.440	97.406	2.594	254.92	416	0.940	bicubic
18	tf_efficientnetv2_l	85.490	14.510	97.372	2.628	118.52	480	1.000	bicubic
19	cait_s36_384	85.460	14.540	97.480	2.520	68.37	384	1.000	bicubic
20	ig_resnext101_32x48d	85.428	14.572	97.572	2.428	828.41	224	0.875	bilinear
21	vit_deit_base_distilled_patch16_384	85.422	14.578	97.332	2.668	87.63	384	1.000	bicubic
22	tf_efficientnet_b8	85.370	14.630	97.390	2.610	87.41	672	0.954	bicubic
23	tf_efficientnet_b8_ap	85.370	14.630	97.294	2.706	87.41	672	0.954	bicubic
24	swin_base_patch4_window7_224	85.252	14.748	97.562	2.438	87.77	224	0.900	bicubic
25	tf_efficientnet_b4_ns	85.162	14.838	97.470	2.530	19.34	380	0.922	bicubic
26	vit_large_patch16_384	85.158	14.842	97.356	2.644	304.72	384	1.000	bicubic
27	tf_efficientnet_b7_ap	85.120	14.880	97.252	2.748	66.35	600	0.949	bicubic
28	ig_resnext101_32x32d	85.094	14.906	97.438	2.562	468.53	224	0.875	bilinear
29	cait_s24_384	85.046	14.954	97.346	2.654	47.06	384	1.000	bicubic
30	tf_efficientnetv2_m	85.044	14.956	97.278	2.722	54.14	480	1.000	bicubic
31	resnetrs420	85.008	14.992	97.124	2.876	191.89	416	1.000	bicubic
32	dm_nfnet_f2	84.990	15.010	97.144	2.856	193.78	352	0.920	bicubic
33	ecaresnet269d	84.976	15.024	97.226	2.774	102.09	352	1.000	bicubic
34	vit_base_r50_s16_384	84.972	15.028	97.288	2.712	98.95	384	1.000	bicubic
35	tf_efficientnet_b7	84.936	15.064	97.204	2.796	66.35	600	0.949	bicubic
36	resnetv2_152x4_bitm	84.932	15.068	97.436	2.564	936.53	480	1.000	bilinear
37	efficientnetv2_rw_m	84.808	15.192	97.148	2.852	53.24	416	1.000	bicubic
38	tf_efficientnet_b6_ap	84.788	15.212	97.138	2.862	43.04	528	0.942	bicubic
39	resnetrs350	84.720	15.280	96.988	3.012	163.96	384	1.000	bicubic
40	dm_nfnet_f1	84.604	15.396	97.068	2.932	132.63	320	0.910	bicubic
41	resnest269e	84.518	15.482	96.986	3.014	110.93	416	0.928	bicubic
42	resnetv2_152x2_bitm	84.440	15.560	97.446	2.554	236.34	480	1.000	bilinear
43	resnetrs270	84.434	15.566	96.970	3.030	129.86	352	1.000	bicubic
44	resnetv2_101x3_bitm	84.394	15.606	97.362	2.638	387.93	480	1.000	bilinear
45	seresnet152d	84.362	15.638	97.040	2.960	66.84	320	1.000	bicubic
46	tf_efficientnetv2_s_in21ft1k	84.302	15.698	97.252	2.748	21.46	384	1.000	bicubic
47	swsl_resnext101_32x8d	84.284	15.716	97.176	2.824	88.79	224	0.875	bilinear
48	vit_base_patch16_224_miil	84.268	15.732	96.802	3.198	86.54	224	0.875	bilinear
49	tf_efficientnet_b5_ap	84.252	15.748	96.974	3.026	30.39	456	0.934	bicubic
50	vit_base_patch16_384	84.210	15.790	97.218	2.782	86.86	384	1.000	bicubic
51	ig_resnext101_32x16d	84.170	15.830	97.196	2.804	194.03	224	0.875	bilinear
52	pit_b_distilled_224	84.144	15.856	96.856	3.144	74.79	224	0.900	bicubic
53	tf_efficientnet_b6	84.110	15.890	96.886	3.114	43.04	528	0.942	bicubic
54	resnetrs200	84.066	15.934	96.874	3.126	93.21	320	1.000	bicubic
55	cait_xs24_384	84.062	15.938	96.888	3.112	26.67	384	1.000	bicubic
56	tf_efficientnet_b3_ns	84.048	15.952	96.910	3.090	12.23	300	0.904	bicubic
57	eca_nfnet_l1	84.008	15.992	97.028	2.972	41.41	320	1.000	bicubic
58	resnet200d	83.962	16.038	96.824	3.176	64.69	320	1.000	bicubic
59	tf_efficientnetv2_s	83.894	16.106	96.698	3.302	21.46	384	1.000	bicubic
60	resnest200e	83.832	16.168	96.894	3.106	70.20	320	0.909	bicubic
61	tf_efficientnet_b5	83.812	16.188	96.748	3.252	30.39	456	0.934	bicubic
62	efficientnetv2_rw_s	83.808	16.192	96.724	3.276	23.94	384	1.000	bicubic
63	resnetv2_50x3_bitm	83.784	16.216	97.106	2.894	217.32	480	1.000	bilinear
64	resnetrs152	83.712	16.288	96.614	3.386	86.62	320	1.000	bicubic
65	regnety_160	83.686	16.314	96.776	3.224	83.59	288	1.000	bicubic
66	resnet152d	83.680	16.320	96.738	3.262	60.21	320	1.000	bicubic
67	twins_svt_large	83.678	16.322	96.594	3.406	99.27	224	0.900	bicubic
68	cait_s24_224	83.452	16.548	96.564	3.436	46.92	224	1.000	bicubic
69	efficientnet_b4	83.428	16.572	96.596	3.404	19.34	384	1.000	bicubic
70	vit_deit_base_distilled_patch16_224	83.388	16.612	96.488	3.512	87.34	224	0.900	bicubic
71	swsl_resnext101_32x16d	83.346	16.654	96.846	3.154	194.03	224	0.875	bilinear
72	dm_nfnet_f0	83.342	16.658	96.560	3.440	71.49	256	0.900	bicubic
73	tf_efficientnet_b4_ap	83.248	16.752	96.392	3.608	19.34	380	0.922	bicubic
74	swsl_resnext101_32x4d	83.230	16.770	96.760	3.240	44.18	224	0.875	bilinear
75	swin_small_patch4_window7_224	83.212	16.788	96.322	3.678	49.61	224	0.900	bicubic
76	twins_pcpvt_large	83.140	16.860	96.598	3.402	60.99	224	0.900	bicubic
77	twins_svt_base	83.136	16.864	96.418	3.582	56.07	224	0.900	bicubic
78	vit_deit_base_patch16_384	83.106	16.894	96.372	3.628	86.86	384	1.000	bicubic
79	tresnet_m	83.080	16.920	96.118	3.882	31.39	224	0.875	bilinear
80	vit_large_patch16_224	83.062	16.938	96.438	3.562	304.33	224	0.900	bicubic
81	tresnet_xl_448	83.050	16.950	96.174	3.826	78.44	448	0.875	bilinear
82	resnet101d	83.022	16.978	96.446	3.554	44.57	320	1.000	bicubic
83	tf_efficientnet_b4	83.022	16.978	96.300	3.700	19.34	380	0.922	bicubic
84	resnest101e	82.890	17.110	96.320	3.680	48.28	256	0.875	bilinear
85	pnasnet5large	82.782	17.218	96.040	3.960	86.06	331	0.911	bicubic
86	nfnet_l0	82.760	17.240	96.498	3.502	35.07	288	1.000	bicubic
87	regnety_032	82.724	17.276	96.424	3.576	19.44	288	1.000	bicubic
88	twins_pcpvt_base	82.708	17.292	96.346	3.654	43.83	224	0.900	bicubic
89	ig_resnext101_32x8d	82.688	17.312	96.636	3.364	88.79	224	0.875	bilinear
90	nasnetalarge	82.620	17.380	96.046	3.954	88.75	331	0.911	bicubic
91	eca_nfnet_l0	82.588	17.412	96.474	3.526	24.14	288	1.000	bicubic
92	levit_384	82.586	17.414	96.016	3.984	39.13	224	0.900	bicubic
93	pit_b_224	82.446	17.554	95.710	4.290	73.76	224	0.900	bicubic
94	tf_efficientnet_b2_ns	82.380	17.620	96.248	3.752	9.11	260	0.890	bicubic
95	resnet51q	82.360	17.640	96.180	3.820	35.70	288	1.000	bilinear
96	ecaresnet50t	82.346	17.654	96.138	3.862	25.57	320	0.950	bicubic
97	coat_lite_small	82.308	17.692	95.850	4.150	19.84	224	0.900	bicubic
98	mixer_b16_224_miil	82.308	17.692	95.716	4.284	59.88	224	0.875	bilinear
99	convit_base	82.290	17.710	95.938	4.062	86.54	224	0.875	bicubic
100	resnetrs101	82.288	17.712	96.008	3.992	63.62	288	0.940	bicubic
101	tresnet_l_448	82.268	17.732	95.976	4.024	55.99	448	0.875	bilinear
102	efficientnet_b3	82.242	17.758	96.114	3.886	12.23	320	1.000	bicubic
103	resnetv2_101x1_bitm	82.212	17.788	96.472	3.528	44.54	480	1.000	bilinear
104	cait_xxs36_384	82.194	17.806	96.148	3.852	17.37	384	1.000	bicubic
105	swsl_resnext50_32x4d	82.182	17.818	96.230	3.770	25.03	224	0.875	bilinear
106	ecaresnet101d	82.172	17.828	96.046	3.954	44.57	224	0.875	bicubic
107	visformer_small	82.106	17.894	95.872	4.128	40.22	224	0.900	bicubic
108	tresnet_xl	82.054	17.946	95.936	4.064	78.44	224	0.875	bilinear
109	vit_deit_base_patch16_224	81.998	18.002	95.734	4.266	86.57	224	0.900	bicubic
110	pit_s_distilled_224	81.996	18.004	95.798	4.202	24.04	224	0.900	bicubic
111	tf_efficientnetv2_b3	81.970	18.030	95.782	4.218	14.36	300	0.904	bicubic
112	ssl_resnext101_32x16d	81.844	18.156	96.096	3.904	194.03	224	0.875	bilinear
113	tf_efficientnet_b3_ap	81.822	18.178	95.624	4.376	12.23	300	0.904	bicubic
114	vit_base_patch16_224	81.786	18.214	96.122	3.878	86.57	224	0.900	bicubic
115	tresnet_m_448	81.714	18.286	95.572	4.428	31.39	448	0.875	bilinear
116	twins_svt_small	81.682	18.318	95.670	4.330	24.06	224	0.900	bicubic
117	vit_base_patch32_384	81.652	18.348	96.128	3.872	88.30	384	1.000	bicubic
118	tf_efficientnet_b3	81.636	18.364	95.718	4.282	12.23	300	0.904	bicubic
119	rexnet_200	81.632	18.368	95.668	4.332	16.37	224	0.875	bicubic
120	ssl_resnext101_32x8d	81.616	18.384	96.038	3.962	88.79	224	0.875	bilinear
121	tf_efficientnet_lite4	81.536	18.464	95.668	4.332	13.01	380	0.920	bilinear
122	tnt_s_patch16_224	81.518	18.482	95.748	4.252	23.76	224	0.900	bicubic
123	levit_256	81.510	18.490	95.490	4.510	18.89	224	0.900	bicubic
124	vit_large_patch32_384	81.506	18.494	96.092	3.908	306.63	384	1.000	bicubic
125	tresnet_l	81.490	18.510	95.624	4.376	55.99	224	0.875	bilinear
126	wide_resnet50_2	81.456	18.544	95.532	4.468	68.88	224	0.875	bicubic
127	convit_small	81.426	18.574	95.744	4.256	27.78	224	0.875	bicubic
128	tf_efficientnet_b1_ns	81.388	18.612	95.738	4.262	7.79	240	0.882	bicubic
129	swin_tiny_patch4_window7_224	81.378	18.622	95.540	4.460	28.29	224	0.900	bicubic
130	gernet_l	81.354	18.646	95.536	4.464	31.08	256	0.875	bilinear
131	efficientnet_el	81.316	18.684	95.526	4.474	10.59	300	0.904	bicubic
132	legacy_senet154	81.310	18.690	95.496	4.504	115.09	224	0.875	bilinear
133	coat_mini	81.268	18.732	95.392	4.608	10.34	224	0.900	bicubic
134	seresnext50_32x4d	81.266	18.734	95.620	4.380	27.56	224	0.875	bicubic
135	gluon_senet154	81.234	18.766	95.348	4.652	115.09	224	0.875	bicubic
136	vit_deit_small_distilled_patch16_224	81.200	18.800	95.378	4.622	22.44	224	0.900	bicubic
137	swsl_resnet50	81.166	18.834	95.972	4.028	25.56	224	0.875	bilinear
138	resnest50d_4s2x40d	81.108	18.892	95.558	4.442	30.42	224	0.875	bicubic
139	pit_s_224	81.094	18.906	95.332	4.668	23.46	224	0.900	bicubic
140	twins_pcpvt_small	81.088	18.912	95.642	4.358	24.11	224	0.900	bicubic
141	gluon_resnet152_v1s	81.016	18.984	95.412	4.588	60.32	224	0.875	bicubic
142	resnest50d_1s4x24d	80.988	19.012	95.322	4.678	25.68	224	0.875	bicubic
143	resnest50d	80.974	19.026	95.378	4.622	27.48	224	0.875	bilinear
144	cait_xxs24_384	80.966	19.034	95.646	4.354	12.03	384	1.000	bicubic
145	ssl_resnext101_32x4d	80.924	19.076	95.728	4.272	44.18	224	0.875	bilinear
146	gluon_seresnext101_32x4d	80.904	19.096	95.294	4.706	48.96	224	0.875	bicubic
147	gluon_seresnext101_64x4d	80.894	19.106	95.308	4.692	88.23	224	0.875	bicubic
148	efficientnet_b3_pruned	80.858	19.142	95.242	4.758	9.86	300	0.904	bicubic
149	ecaresnet101d_pruned	80.818	19.182	95.628	4.372	24.88	224	0.875	bicubic
150	regnety_320	80.812	19.188	95.244	4.756	145.05	224	0.875	bicubic
151	gernet_m	80.732	19.268	95.184	4.816	21.14	224	0.875	bilinear
152	nf_resnet50	80.694	19.306	95.356	4.644	25.56	288	0.940	bicubic
153	efficientnet_b2	80.612	19.388	95.318	4.682	9.11	288	1.000	bicubic
154	gluon_resnext101_64x4d	80.604	19.396	94.988	5.012	83.46	224	0.875	bicubic
155	ecaresnet50d	80.592	19.408	95.320	4.680	25.58	224	0.875	bicubic
156	resnet50d	80.530	19.470	95.160	4.840	25.58	224	0.875	bicubic
157	repvgg_b3	80.492	19.508	95.260	4.740	123.09	224	0.875	bilinear
158	mixnet_xl	80.476	19.524	94.936	5.064	11.90	224	0.875	bicubic
159	gluon_resnet152_v1d	80.474	19.526	95.206	4.794	60.21	224	0.875	bicubic
160	ecaresnetlight	80.462	19.538	95.250	4.750	30.16	224	0.875	bicubic
161	inception_resnet_v2	80.458	19.542	95.306	4.694	55.84	299	0.897	bicubic
162	gluon_resnet101_v1d	80.414	19.586	95.014	4.986	44.57	224	0.875	bicubic
163	regnety_120	80.366	19.634	95.126	4.874	51.82	224	0.875	bicubic
164	gluon_resnext101_32x4d	80.334	19.666	94.926	5.074	44.18	224	0.875	bicubic
165	ssl_resnext50_32x4d	80.318	19.682	95.406	4.594	25.03	224	0.875	bilinear
166	rexnet_150	80.310	19.690	95.166	4.834	9.73	224	0.875	bicubic
167	gluon_resnet101_v1s	80.302	19.698	95.160	4.840	44.67	224	0.875	bicubic
168	efficientnet_el_pruned	80.300	19.700	95.218	4.782	10.59	300	0.904	bicubic
169	tf_efficientnet_b2_ap	80.300	19.700	95.028	4.972	9.11	260	0.890	bicubic
170	seresnet50	80.274	19.726	95.070	4.930	28.09	224	0.875	bicubic
171	tf_efficientnet_el	80.250	19.750	95.128	4.872	10.59	300	0.904	bicubic
172	regnetx_320	80.246	19.754	95.026	4.974	107.81	224	0.875	bicubic
173	legacy_seresnext101_32x4d	80.228	19.772	95.018	4.982	48.96	224	0.875	bilinear
174	repvgg_b3g4	80.214	19.786	95.110	4.890	83.83	224	0.875	bilinear
175	tf_efficientnetv2_b2	80.208	19.792	95.042	4.958	10.10	260	0.890	bicubic
176	resnetv2_50x1_bitm	80.172	19.828	95.626	4.374	25.55	480	1.000	bilinear
177	inception_v4	80.168	19.832	94.968	5.032	42.68	299	0.875	bicubic
178	dpn107	80.156	19.844	94.910	5.090	86.92	224	0.875	bicubic
179	skresnext50_32x4d	80.156	19.844	94.642	5.358	27.48	224	0.875	bicubic
180	tf_efficientnet_b2	80.086	19.914	94.908	5.092	9.11	260	0.890	bicubic
181	cspdarknet53	80.058	19.942	95.084	4.916	27.64	256	0.887	bilinear
182	cspresnext50	80.040	19.960	94.944	5.056	20.57	224	0.875	bilinear
183	dpn92	80.008	19.992	94.836	5.164	37.67	224	0.875	bicubic
184	ens_adv_inception_resnet_v2	79.982	20.018	94.936	5.064	55.84	299	0.897	bicubic
185	gluon_seresnext50_32x4d	79.918	20.082	94.822	5.178	27.56	224	0.875	bicubic
186	efficientnet_b2_pruned	79.916	20.084	94.856	5.144	8.31	260	0.890	bicubic
187	gluon_resnet152_v1c	79.910	20.090	94.840	5.160	60.21	224	0.875	bicubic
188	resnetrs50	79.892	20.108	94.968	5.032	35.69	224	0.910	bicubic
189	regnety_080	79.876	20.124	94.830	5.170	39.18	224	0.875	bicubic
190	xception71	79.874	20.126	94.922	5.078	42.34	299	0.903	bicubic
191	regnetx_160	79.856	20.144	94.830	5.170	54.28	224	0.875	bicubic
192	vit_deit_small_patch16_224	79.856	20.144	95.052	4.948	22.05	224	0.900	bicubic
193	ecaresnet26t	79.854	20.146	95.084	4.916	16.01	320	0.950	bicubic
194	levit_192	79.842	20.158	94.786	5.214	10.95	224	0.900	bicubic
195	dpn131	79.822	20.178	94.710	5.290	79.25	224	0.875	bicubic
196	tf_efficientnet_lite3	79.820	20.180	94.914	5.086	8.20	300	0.904	bilinear
197	resnext50_32x4d	79.768	20.232	94.598	5.402	25.03	224	0.875	bicubic
198	cait_xxs36_224	79.750	20.250	94.866	5.134	17.30	224	1.000	bicubic
199	regnety_064	79.722	20.278	94.768	5.232	30.58	224	0.875	bicubic
200	ecaresnet50d_pruned	79.716	20.284	94.880	5.120	19.94	224	0.875	bicubic
201	gluon_xception65	79.716	20.284	94.860	5.140	39.92	299	0.903	bicubic
202	gluon_resnet152_v1b	79.686	20.314	94.736	5.264	60.19	224	0.875	bicubic
203	resnext50d_32x4d	79.676	20.324	94.866	5.134	25.05	224	0.875	bicubic
204	dpn98	79.642	20.358	94.598	5.402	61.57	224	0.875	bicubic
205	regnetx_120	79.596	20.404	94.738	5.262	46.11	224	0.875	bicubic
206	cspresnet50	79.574	20.426	94.712	5.288	21.62	256	0.887	bilinear
207	xception65	79.552	20.448	94.654	5.346	39.92	299	0.903	bicubic
208	gluon_resnet101_v1c	79.534	20.466	94.578	5.422	44.57	224	0.875	bicubic
209	rexnet_130	79.500	20.500	94.682	5.318	7.56	224	0.875	bicubic
210	hrnet_w64	79.474	20.526	94.652	5.348	128.06	224	0.875	bilinear
211	tf_efficientnetv2_b1	79.462	20.538	94.722	5.278	8.14	240	0.882	bicubic
212	dla102x2	79.448	20.552	94.640	5.360	41.28	224	0.875	bilinear
213	repvgg_b2g4	79.366	20.634	94.688	5.312	61.76	224	0.875	bilinear
214	gluon_resnext50_32x4d	79.354	20.646	94.426	5.574	25.03	224	0.875	bicubic
215	ese_vovnet39b	79.320	20.680	94.712	5.288	24.57	224	0.875	bicubic
216	resnext101_32x8d	79.308	20.692	94.518	5.482	88.79	224	0.875	bilinear
217	tf_efficientnet_cc_b1_8e	79.308	20.692	94.370	5.630	39.72	240	0.882	bicubic
218	gluon_resnet101_v1b	79.306	20.694	94.524	5.476	44.55	224	0.875	bicubic
219	nf_regnet_b1	79.306	20.694	94.748	5.252	10.22	288	0.900	bicubic
220	pit_xs_distilled_224	79.306	20.694	94.364	5.636	11.00	224	0.900	bicubic
221	hrnet_w48	79.300	20.700	94.512	5.488	77.47	224	0.875	bilinear
222	resnetblur50	79.286	20.714	94.638	5.362	25.56	224	0.875	bicubic
223	tf_efficientnet_b1_ap	79.280	20.720	94.306	5.694	7.79	240	0.882	bicubic
224	efficientnet_em	79.252	20.748	94.794	5.206	6.90	240	0.882	bicubic
225	ssl_resnet50	79.222	20.778	94.832	5.168	25.56	224	0.875	bilinear
226	regnety_040	79.220	20.780	94.656	5.344	20.65	224	0.875	bicubic
227	dpn68b	79.216	20.784	94.414	5.586	12.61	224	0.875	bicubic
228	res2net50_26w_8s	79.198	20.802	94.368	5.632	48.40	224	0.875	bilinear
229	res2net101_26w_4s	79.198	20.802	94.432	5.568	45.21	224	0.875	bilinear
230	regnetx_080	79.194	20.806	94.560	5.440	39.57	224	0.875	bicubic
231	coat_lite_mini	79.088	20.912	94.604	5.396	11.01	224	0.900	bicubic
232	legacy_seresnext50_32x4d	79.078	20.922	94.436	5.564	27.56	224	0.875	bilinear
233	gluon_resnet50_v1d	79.074	20.926	94.470	5.530	25.58	224	0.875	bicubic
234	regnetx_064	79.072	20.928	94.458	5.542	26.21	224	0.875	bicubic
235	xception	79.052	20.948	94.392	5.608	22.86	299	0.897	bicubic
236	resnet50	79.038	20.962	94.390	5.610	25.56	224	0.875	bicubic
237	mixnet_l	78.976	21.024	94.182	5.818	7.33	224	0.875	bicubic
238	hrnet_w40	78.920	21.080	94.470	5.530	57.56	224	0.875	bilinear
239	hrnet_w44	78.896	21.104	94.368	5.632	67.06	224	0.875	bilinear
240	wide_resnet101_2	78.856	21.144	94.282	5.718	126.89	224	0.875	bilinear
241	tf_efficientnet_b1	78.826	21.174	94.198	5.802	7.79	240	0.882	bicubic
242	gluon_inception_v3	78.806	21.194	94.370	5.630	23.83	299	0.875	bicubic
243	efficientnet_b1	78.794	21.206	94.342	5.658	7.79	256	1.000	bicubic
244	repvgg_b2	78.792	21.208	94.414	5.586	89.02	224	0.875	bilinear
245	tf_mixnet_l	78.774	21.226	93.998	6.002	7.33	224	0.875	bicubic
246	gluon_resnet50_v1s	78.710	21.290	94.238	5.762	25.68	224	0.875	bicubic
247	dla169	78.688	21.312	94.336	5.664	53.39	224	0.875	bilinear
248	legacy_seresnet152	78.660	21.340	94.370	5.630	66.82	224	0.875	bilinear
249	tf_efficientnet_b0_ns	78.658	21.342	94.376	5.624	5.29	224	0.875	bicubic
250	res2net50_26w_6s	78.570	21.430	94.124	5.876	37.05	224	0.875	bilinear
251	xception41	78.516	21.484	94.278	5.722	26.97	299	0.903	bicubic
252	dla102x	78.510	21.490	94.228	5.772	26.31	224	0.875	bilinear
253	levit_128	78.486	21.514	94.010	5.990	9.21	224	0.900	bicubic
254	regnetx_040	78.482	21.518	94.244	5.756	22.12	224	0.875	bicubic
255	resnest26d	78.478	21.522	94.298	5.702	17.07	224	0.875	bilinear
256	dla60_res2net	78.464	21.536	94.206	5.794	20.85	224	0.875	bilinear
257	hrnet_w32	78.450	21.550	94.186	5.814	41.23	224	0.875	bilinear
258	dla60_res2next	78.440	21.560	94.152	5.848	17.03	224	0.875	bilinear
259	coat_tiny	78.434	21.566	94.038	5.962	5.50	224	0.900	bicubic
260	selecsls60b	78.412	21.588	94.174	5.826	32.77	224	0.875	bicubic
261	cait_xxs24_224	78.386	21.614	94.310	5.690	11.96	224	1.000	bicubic
262	legacy_seresnet101	78.382	21.618	94.264	5.736	49.33	224	0.875	bilinear
263	repvgg_b1	78.366	21.634	94.098	5.902	57.42	224	0.875	bilinear
264	tf_efficientnetv2_b0	78.356	21.644	94.024	5.976	7.14	224	0.875	bicubic
265	tv_resnet152	78.312	21.688	94.038	5.962	60.19	224	0.875	bilinear
266	dla60x	78.246	21.754	94.018	5.982	17.35	224	0.875	bilinear
267	res2next50	78.246	21.754	93.892	6.108	24.67	224	0.875	bilinear
268	efficientnet_b1_pruned	78.236	21.764	93.834	6.166	6.33	240	0.882	bicubic
269	hrnet_w30	78.206	21.794	94.222	5.778	37.71	224	0.875	bilinear
270	pit_xs_224	78.182	21.818	94.168	5.832	10.62	224	0.900	bicubic
271	regnetx_032	78.172	21.828	94.088	5.912	15.30	224	0.875	bicubic
272	res2net50_14w_8s	78.150	21.850	93.848	6.152	25.06	224	0.875	bilinear
273	tf_efficientnet_em	78.130	21.870	94.044	5.956	6.90	240	0.882	bicubic
274	hardcorenas_f	78.104	21.896	93.802	6.198	8.20	224	0.875	bilinear
275	efficientnet_es	78.066	21.934	93.926	6.074	5.44	224	0.875	bicubic
276	dla102	78.032	21.968	93.946	6.054	33.27	224	0.875	bilinear
277	gluon_resnet50_v1c	78.012	21.988	93.988	6.012	25.58	224	0.875	bicubic
278	seresnext26t_32x4d	77.986	22.014	93.746	6.254	16.81	224	0.875	bicubic
279	selecsls60	77.982	22.018	93.828	6.172	30.67	224	0.875	bicubic
280	res2net50_26w_4s	77.964	22.036	93.854	6.146	25.70	224	0.875	bilinear
281	mobilenetv3_large_100_miil	77.916	22.084	92.910	7.090	5.48	224	0.875	bilinear
282	tf_efficientnet_cc_b0_8e	77.908	22.092	93.654	6.346	24.01	224	0.875	bicubic
283	regnety_016	77.862	22.138	93.720	6.280	11.20	224	0.875	bicubic
284	tf_inception_v3	77.858	22.142	93.640	6.360	23.83	299	0.875	bicubic
285	vit_small_patch16_224	77.858	22.142	93.416	6.584	48.75	224	0.900	bicubic
286	rexnet_100	77.858	22.142	93.870	6.130	4.80	224	0.875	bicubic
287	hardcorenas_e	77.794	22.206	93.694	6.306	8.07	224	0.875	bilinear
288	efficientnet_b0	77.698	22.302	93.532	6.468	5.29	224	0.875	bicubic
289	legacy_seresnet50	77.630	22.370	93.748	6.252	28.09	224	0.875	bilinear
290	tv_resnext50_32x4d	77.620	22.380	93.696	6.304	25.03	224	0.875	bilinear
291	seresnext26d_32x4d	77.602	22.398	93.608	6.392	16.81	224	0.875	bicubic
292	repvgg_b1g4	77.594	22.406	93.826	6.174	39.97	224	0.875	bilinear
293	adv_inception_v3	77.582	22.418	93.736	6.264	23.83	299	0.875	bicubic
294	gluon_resnet50_v1b	77.580	22.420	93.716	6.284	25.56	224	0.875	bicubic
295	res2net50_48w_2s	77.522	22.478	93.554	6.446	25.29	224	0.875	bilinear
296	coat_lite_tiny	77.512	22.488	93.916	6.084	5.72	224	0.900	bicubic
297	tf_efficientnet_lite2	77.468	22.532	93.754	6.246	6.09	260	0.890	bicubic
298	inception_v3	77.438	22.562	93.476	6.524	23.83	299	0.875	bicubic
299	hardcorenas_d	77.432	22.568	93.484	6.516	7.50	224	0.875	bilinear
300	tv_resnet101	77.374	22.626	93.540	6.460	44.55	224	0.875	bilinear
301	densenet161	77.358	22.642	93.638	6.362	28.68	224	0.875	bicubic
302	tf_efficientnet_cc_b0_4e	77.306	22.694	93.334	6.666	13.31	224	0.875	bicubic
303	densenet201	77.286	22.714	93.478	6.522	20.01	224	0.875	bicubic
304	mobilenetv2_120d	77.284	22.716	93.492	6.508	5.83	224	0.875	bicubic
305	mixnet_m	77.260	22.740	93.424	6.576	5.01	224	0.875	bicubic
306	selecsls42b	77.174	22.826	93.390	6.610	32.46	224	0.875	bicubic
307	resnet34d	77.116	22.884	93.382	6.618	21.82	224	0.875	bicubic
308	legacy_seresnext26_32x4d	77.104	22.896	93.316	6.684	16.79	224	0.875	bicubic
309	tf_efficientnet_b0_ap	77.086	22.914	93.256	6.744	5.29	224	0.875	bicubic
310	hardcorenas_c	77.054	22.946	93.158	6.842	5.52	224	0.875	bilinear
311	dla60	77.032	22.968	93.318	6.682	22.04	224	0.875	bilinear
312	regnetx_016	76.950	23.050	93.420	6.580	9.19	224	0.875	bicubic
313	tf_mixnet_m	76.942	23.058	93.152	6.848	5.01	224	0.875	bicubic
314	gernet_s	76.916	23.084	93.132	6.868	8.17	224	0.875	bilinear
315	skresnet34	76.912	23.088	93.322	6.678	22.28	224	0.875	bicubic
316	tf_efficientnet_b0	76.848	23.152	93.228	6.772	5.29	224	0.875	bicubic
317	ese_vovnet19b_dw	76.798	23.202	93.268	6.732	6.54	224	0.875	bicubic
318	hrnet_w18	76.758	23.242	93.444	6.556	21.30	224	0.875	bilinear
319	resnet26d	76.696	23.304	93.150	6.850	16.01	224	0.875	bicubic
320	tf_efficientnet_lite1	76.642	23.358	93.226	6.774	5.42	240	0.882	bicubic
321	mixer_b16_224	76.602	23.398	92.228	7.772	59.88	224	0.875	bicubic
322	tf_efficientnet_es	76.594	23.406	93.202	6.798	5.44	224	0.875	bicubic
323	densenetblur121d	76.588	23.412	93.192	6.808	8.00	224	0.875	bicubic
324	hardcorenas_b	76.538	23.462	92.754	7.246	5.18	224	0.875	bilinear
325	levit_128s	76.530	23.470	92.866	7.134	7.78	224	0.900	bicubic
326	mobilenetv2_140	76.516	23.484	92.996	7.004	6.11	224	0.875	bicubic
327	repvgg_a2	76.460	23.540	93.004	6.996	28.21	224	0.875	bilinear
328	dpn68	76.318	23.682	92.978	7.022	12.61	224	0.875	bicubic
329	regnety_008	76.316	23.684	93.066	6.934	6.26	224	0.875	bicubic
330	tv_resnet50	76.138	23.862	92.864	7.136	25.56	224	0.875	bilinear
331	mixnet_s	75.992	24.008	92.796	7.204	4.13	224	0.875	bicubic
332	hardcorenas_a	75.916	24.084	92.514	7.486	5.26	224	0.875	bilinear
333	densenet169	75.906	24.094	93.026	6.974	14.15	224	0.875	bicubic
334	mobilenetv3_large_100	75.766	24.234	92.542	7.458	5.48	224	0.875	bicubic
335	tf_mixnet_s	75.650	24.350	92.628	7.372	4.13	224	0.875	bicubic
336	mobilenetv3_rw	75.634	24.366	92.708	7.292	5.48	224	0.875	bicubic
337	densenet121	75.578	24.422	92.652	7.348	7.98	224	0.875	bicubic
338	tf_mobilenetv3_large_100	75.518	24.482	92.606	7.394	5.48	224	0.875	bilinear
339	resnest14d	75.506	24.494	92.518	7.482	10.61	224	0.875	bilinear
340	efficientnet_lite0	75.484	24.516	92.510	7.490	4.65	224	0.875	bicubic
341	semnasnet_100	75.448	24.552	92.604	7.396	3.89	224	0.875	bicubic
342	resnet26	75.292	24.708	92.570	7.430	16.00	224	0.875	bicubic
343	regnety_006	75.246	24.754	92.532	7.468	6.06	224	0.875	bicubic
344	repvgg_b0	75.152	24.848	92.418	7.582	15.82	224	0.875	bilinear
345	fbnetc_100	75.124	24.876	92.386	7.614	5.57	224	0.875	bilinear
346	hrnet_w18_small_v2	75.114	24.886	92.416	7.584	15.60	224	0.875	bilinear
347	resnet34	75.110	24.890	92.284	7.716	21.80	224	0.875	bilinear
348	regnetx_008	75.038	24.962	92.336	7.664	7.26	224	0.875	bicubic
349	mobilenetv2_110d	75.036	24.964	92.186	7.814	4.52	224	0.875	bicubic
350	efficientnet_es_pruned	75.000	25.000	92.448	7.552	5.44	224	0.875	bicubic
351	tf_efficientnet_lite0	74.830	25.170	92.176	7.824	4.65	224	0.875	bicubic
352	legacy_seresnet34	74.808	25.192	92.124	7.876	21.96	224	0.875	bilinear
353	tv_densenet121	74.738	25.262	92.150	7.850	7.98	224	0.875	bicubic
354	mnasnet_100	74.658	25.342	92.114	7.886	4.38	224	0.875	bicubic
355	dla34	74.630	25.370	92.078	7.922	15.74	224	0.875	bilinear
356	gluon_resnet34_v1b	74.588	25.412	91.990	8.010	21.80	224	0.875	bicubic
357	pit_ti_distilled_224	74.530	25.470	92.096	7.904	5.10	224	0.900	bicubic
358	vit_deit_tiny_distilled_patch16_224	74.510	25.490	91.890	8.110	5.91	224	0.900	bicubic
359	vgg19_bn	74.214	25.786	91.842	8.158	143.68	224	0.875	bilinear
360	spnasnet_100	74.084	25.916	91.818	8.182	4.42	224	0.875	bilinear
361	regnety_004	74.034	25.966	91.752	8.248	4.34	224	0.875	bicubic
362	ghostnet_100	73.978	26.022	91.456	8.544	5.18	224	0.875	bilinear
363	regnetx_006	73.852	26.148	91.672	8.328	6.20	224	0.875	bicubic
364	tf_mobilenetv3_large_075	73.438	26.562	91.350	8.650	3.99	224	0.875	bilinear
365	vgg16_bn	73.350	26.650	91.506	8.494	138.37	224	0.875	bilinear
366	tv_resnet34	73.312	26.688	91.426	8.574	21.80	224	0.875	bilinear
367	swsl_resnet18	73.276	26.724	91.734	8.266	11.69	224	0.875	bilinear
368	convit_tiny	73.116	26.884	91.714	8.286	5.71	224	0.875	bicubic
369	skresnet18	73.038	26.962	91.168	8.832	11.96	224	0.875	bicubic
370	mobilenetv2_100	72.970	27.030	91.016	8.984	3.50	224	0.875	bicubic
371	pit_ti_224	72.912	27.088	91.402	8.598	4.85	224	0.900	bicubic
372	ssl_resnet18	72.610	27.390	91.416	8.584	11.69	224	0.875	bilinear
373	regnetx_004	72.396	27.604	90.830	9.170	5.16	224	0.875	bicubic
374	vgg19	72.368	27.632	90.872	9.128	143.67	224	0.875	bilinear
375	hrnet_w18_small	72.344	27.656	90.678	9.322	13.19	224	0.875	bilinear
376	resnet18d	72.260	27.740	90.696	9.304	11.71	224	0.875	bicubic
377	tf_mobilenetv3_large_minimal_100	72.248	27.752	90.630	9.370	3.92	224	0.875	bilinear
378	vit_deit_tiny_patch16_224	72.168	27.832	91.118	8.882	5.72	224	0.900	bicubic
379	mixer_l16_224	72.058	27.942	87.668	12.332	208.20	224	0.875	bicubic
380	legacy_seresnet18	71.742	28.258	90.334	9.666	11.78	224	0.875	bicubic
381	vgg13_bn	71.594	28.406	90.376	9.624	133.05	224	0.875	bilinear
382	vgg16	71.594	28.406	90.382	9.618	138.36	224	0.875	bilinear
383	gluon_resnet18_v1b	70.836	29.164	89.762	10.238	11.69	224	0.875	bicubic
384	vgg11_bn	70.360	29.640	89.802	10.198	132.87	224	0.875	bilinear
385	regnety_002	70.252	29.748	89.540	10.460	3.16	224	0.875	bicubic
386	vgg13	69.926	30.074	89.246	10.754	133.05	224	0.875	bilinear
387	resnet18	69.748	30.252	89.078	10.922	11.69	224	0.875	bilinear
388	vgg11	69.024	30.976	88.628	11.372	132.86	224	0.875	bilinear
389	regnetx_002	68.762	31.238	88.556	11.444	2.68	224	0.875	bicubic
390	tf_mobilenetv3_small_100	67.922	32.078	87.664	12.336	2.54	224	0.875	bilinear
391	dla60x_c	67.892	32.108	88.426	11.574	1.32	224	0.875	bilinear
392	dla46x_c	65.970	34.030	86.980	13.020	1.07	224	0.875	bilinear
393	tf_mobilenetv3_small_075	65.716	34.284	86.130	13.870	2.04	224	0.875	bilinear
394	dla46_c	64.864	35.136	86.292	13.708	1.30	224	0.875	bilinear
395	tf_mobilenetv3_small_minimal_100	62.906	37.094	84.230	15.770	2.04	224	0.875	bilinear