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	vit_large_patch16_384	87.080	12.920	98.300	1.700	304.72	384	1.000	bicubic
6	tf_efficientnet_b7_ns	86.840	13.160	98.094	1.906	66.35	600	0.949	bicubic
7	cait_m48_448	86.484	13.516	97.754	2.246	356.46	448	1.000	bicubic
8	tf_efficientnet_b6_ns	86.452	13.548	97.882	2.118	43.04	528	0.942	bicubic
9	swin_base_patch4_window12_384	86.432	13.568	98.058	1.942	87.90	384	1.000	bicubic
10	swin_large_patch4_window7_224	86.320	13.680	97.896	2.104	196.53	224	0.900	bicubic
11	tf_efficientnetv2_l_in21ft1k	86.304	13.696	97.978	2.022	118.52	480	1.000	bicubic
12	vit_large_r50_s32_384	86.184	13.816	97.918	2.082	329.09	384	1.000	bicubic
13	dm_nfnet_f6	86.144	13.856	97.730	2.270	438.36	576	0.956	bicubic
14	tf_efficientnet_b5_ns	86.088	13.912	97.752	2.248	30.39	456	0.934	bicubic
15	cait_m36_384	86.054	13.946	97.730	2.270	271.22	384	1.000	bicubic
16	vit_base_patch16_384	86.006	13.994	98.000	2.000	86.86	384	1.000	bicubic
17	vit_large_patch16_224	85.842	14.158	97.824	2.176	304.33	224	0.900	bicubic
18	dm_nfnet_f5	85.814	14.186	97.488	2.512	377.21	544	0.954	bicubic
19	dm_nfnet_f4	85.714	14.286	97.520	2.480	316.07	512	0.951	bicubic
20	tf_efficientnetv2_m_in21ft1k	85.588	14.412	97.752	2.248	54.14	480	1.000	bicubic
21	dm_nfnet_f3	85.522	14.478	97.462	2.538	254.92	416	0.940	bicubic
22	tf_efficientnetv2_l	85.490	14.510	97.372	2.628	118.52	480	1.000	bicubic
23	cait_s36_384	85.460	14.540	97.480	2.520	68.37	384	1.000	bicubic
24	ig_resnext101_32x48d	85.428	14.572	97.572	2.428	828.41	224	0.875	bilinear
25	deit_base_distilled_patch16_384	85.422	14.578	97.332	2.668	87.63	384	1.000	bicubic
26	tf_efficientnet_b8	85.370	14.630	97.390	2.610	87.41	672	0.954	bicubic
27	tf_efficientnet_b8_ap	85.370	14.630	97.294	2.706	87.41	672	0.954	bicubic
28	swin_base_patch4_window7_224	85.252	14.748	97.562	2.438	87.77	224	0.900	bicubic
29	tf_efficientnet_b4_ns	85.162	14.838	97.470	2.530	19.34	380	0.922	bicubic
30	tf_efficientnet_b7_ap	85.120	14.880	97.252	2.748	66.35	600	0.949	bicubic
31	ig_resnext101_32x32d	85.094	14.906	97.438	2.562	468.53	224	0.875	bilinear
32	dm_nfnet_f2	85.064	14.936	97.240	2.760	193.78	352	0.920	bicubic
33	cait_s24_384	85.046	14.954	97.346	2.654	47.06	384	1.000	bicubic
34	tf_efficientnetv2_m	85.044	14.956	97.278	2.722	54.14	480	1.000	bicubic
35	resnetrs420	85.008	14.992	97.124	2.876	191.89	416	1.000	bicubic
36	ecaresnet269d	84.976	15.024	97.226	2.774	102.09	352	1.000	bicubic
37	vit_base_r50_s16_384	84.972	15.028	97.288	2.712	98.95	384	1.000	bicubic
38	tf_efficientnet_b7	84.936	15.064	97.204	2.796	66.35	600	0.949	bicubic
39	resnetv2_152x4_bitm	84.916	15.084	97.442	2.558	936.53	480	1.000	bilinear
40	efficientnetv2_rw_m	84.808	15.192	97.148	2.852	53.24	416	1.000	bicubic
41	tf_efficientnet_b6_ap	84.788	15.212	97.138	2.862	43.04	528	0.942	bicubic
42	resnetrs350	84.720	15.280	96.988	3.012	163.96	384	1.000	bicubic
43	eca_nfnet_l2	84.698	15.302	97.264	2.736	56.72	384	1.000	bicubic
44	dm_nfnet_f1	84.626	15.374	97.100	2.900	132.63	320	0.910	bicubic
45	vit_base_patch16_224	84.532	15.468	97.294	2.706	86.57	224	0.900	bicubic
46	resnest269e	84.518	15.482	96.986	3.014	110.93	416	0.928	bicubic
47	resnetv2_152x2_bitm	84.510	15.490	97.432	2.568	236.34	448	1.000	bilinear
48	resnetv2_101x3_bitm	84.440	15.560	97.382	2.618	387.93	448	1.000	bilinear
49	resnetrs270	84.434	15.566	96.970	3.030	129.86	352	1.000	bicubic
50	vit_large_r50_s32_224	84.434	15.566	97.164	2.836	328.99	224	0.900	bicubic
51	resmlp_big_24_224_in22ft1k	84.394	15.606	97.120	2.880	129.14	224	0.875	bicubic
52	seresnet152d	84.362	15.638	97.040	2.960	66.84	320	1.000	bicubic
53	tf_efficientnetv2_s_in21ft1k	84.302	15.698	97.252	2.748	21.46	384	1.000	bicubic
54	swsl_resnext101_32x8d	84.284	15.716	97.176	2.824	88.79	224	0.875	bilinear
55	vit_base_patch16_224_miil	84.268	15.732	96.802	3.198	86.54	224	0.875	bilinear
56	tf_efficientnet_b5_ap	84.252	15.748	96.974	3.026	30.39	456	0.934	bicubic
57	ig_resnext101_32x16d	84.170	15.830	97.196	2.804	194.03	224	0.875	bilinear
58	pit_b_distilled_224	84.144	15.856	96.856	3.144	74.79	224	0.900	bicubic
59	tf_efficientnet_b6	84.110	15.890	96.886	3.114	43.04	528	0.942	bicubic
60	resnetrs200	84.066	15.934	96.874	3.126	93.21	320	1.000	bicubic
61	cait_xs24_384	84.062	15.938	96.888	3.112	26.67	384	1.000	bicubic
62	tf_efficientnet_b3_ns	84.048	15.952	96.910	3.090	12.23	300	0.904	bicubic
63	vit_small_r26_s32_384	84.046	15.954	97.328	2.672	36.47	384	1.000	bicubic
64	resnetv2_50x3_bitm	84.014	15.986	97.124	2.876	217.32	448	1.000	bilinear
65	eca_nfnet_l1	84.010	15.990	97.028	2.972	41.41	320	1.000	bicubic
66	resnet200d	83.962	16.038	96.824	3.176	64.69	320	1.000	bicubic
67	tf_efficientnetv2_s	83.894	16.106	96.698	3.302	21.46	384	1.000	bicubic
68	resnetv2_152x2_bit_teacher_384	83.844	16.156	97.118	2.882	236.34	384	1.000	bicubic
69	resnest200e	83.832	16.168	96.894	3.106	70.20	320	0.909	bicubic
70	tf_efficientnet_b5	83.812	16.188	96.748	3.252	30.39	456	0.934	bicubic
71	efficientnetv2_rw_s	83.808	16.192	96.724	3.276	23.94	384	1.000	bicubic
72	vit_small_patch16_384	83.802	16.198	97.102	2.898	22.20	384	1.000	bicubic
73	resnetrs152	83.712	16.288	96.614	3.386	86.62	320	1.000	bicubic
74	regnety_160	83.686	16.314	96.776	3.224	83.59	288	1.000	bicubic
75	resnet152d	83.680	16.320	96.738	3.262	60.21	320	1.000	bicubic
76	twins_svt_large	83.678	16.322	96.594	3.406	99.27	224	0.900	bicubic
77	resmlp_big_24_distilled_224	83.590	16.410	96.648	3.352	129.14	224	0.875	bicubic
78	cait_s24_224	83.452	16.548	96.564	3.436	46.92	224	1.000	bicubic
79	efficientnet_b4	83.428	16.572	96.596	3.404	19.34	384	1.000	bicubic
80	deit_base_distilled_patch16_224	83.388	16.612	96.488	3.512	87.34	224	0.900	bicubic
81	dm_nfnet_f0	83.386	16.614	96.572	3.428	71.49	256	0.900	bicubic
82	vit_base_patch32_384	83.350	16.650	96.836	3.164	88.30	384	1.000	bicubic
83	swsl_resnext101_32x16d	83.346	16.654	96.846	3.154	194.03	224	0.875	bilinear
84	tf_efficientnet_b4_ap	83.248	16.752	96.392	3.608	19.34	380	0.922	bicubic
85	swsl_resnext101_32x4d	83.230	16.770	96.760	3.240	44.18	224	0.875	bilinear
86	swin_small_patch4_window7_224	83.212	16.788	96.322	3.678	49.61	224	0.900	bicubic
87	twins_pcpvt_large	83.140	16.860	96.598	3.402	60.99	224	0.900	bicubic
88	twins_svt_base	83.136	16.864	96.418	3.582	56.07	224	0.900	bicubic
89	deit_base_patch16_384	83.106	16.894	96.372	3.628	86.86	384	1.000	bicubic
90	tresnet_m	83.080	16.920	96.118	3.882	31.39	224	0.875	bilinear
91	tresnet_xl_448	83.050	16.950	96.174	3.826	78.44	448	0.875	bilinear
92	resnet101d	83.022	16.978	96.446	3.554	44.57	320	1.000	bicubic
93	tf_efficientnet_b4	83.022	16.978	96.300	3.700	19.34	380	0.922	bicubic
94	resnest101e	82.890	17.110	96.320	3.680	48.28	256	0.875	bilinear
95	resnetv2_152x2_bit_teacher	82.862	17.138	96.568	3.432	236.34	224	0.875	bicubic
96	resnetv2_50x1_bit_distilled	82.818	17.182	96.522	3.478	25.55	224	0.875	bicubic
97	pnasnet5large	82.782	17.218	96.040	3.960	86.06	331	0.911	bicubic
98	nfnet_l0	82.750	17.250	96.516	3.484	35.07	288	1.000	bicubic
99	regnety_032	82.724	17.276	96.424	3.576	19.44	288	1.000	bicubic
100	twins_pcpvt_base	82.708	17.292	96.346	3.654	43.83	224	0.900	bicubic
101	ig_resnext101_32x8d	82.688	17.312	96.636	3.364	88.79	224	0.875	bilinear
102	nasnetalarge	82.620	17.380	96.046	3.954	88.75	331	0.911	bicubic
103	levit_384	82.586	17.414	96.016	3.984	39.13	224	0.900	bicubic
104	eca_nfnet_l0	82.580	17.420	96.490	3.510	24.14	288	1.000	bicubic
105	pit_b_224	82.446	17.554	95.710	4.290	73.76	224	0.900	bicubic
106	tf_efficientnet_b2_ns	82.380	17.620	96.248	3.752	9.11	260	0.890	bicubic
107	resnet51q	82.360	17.640	96.180	3.820	35.70	288	1.000	bilinear
108	ecaresnet50t	82.346	17.654	96.138	3.862	25.57	320	0.950	bicubic
109	resnetv2_101x1_bitm	82.332	17.668	96.518	3.482	44.54	448	1.000	bilinear
110	coat_lite_small	82.308	17.692	95.850	4.150	19.84	224	0.900	bicubic
111	mixer_b16_224_miil	82.308	17.692	95.716	4.284	59.88	224	0.875	bilinear
112	convit_base	82.290	17.710	95.938	4.062	86.54	224	0.875	bicubic
113	resnetrs101	82.288	17.712	96.008	3.992	63.62	288	0.940	bicubic
114	tresnet_l_448	82.268	17.732	95.976	4.024	55.99	448	0.875	bilinear
115	efficientnet_b3	82.242	17.758	96.114	3.886	12.23	320	1.000	bicubic
116	cait_xxs36_384	82.194	17.806	96.148	3.852	17.37	384	1.000	bicubic
117	swsl_resnext50_32x4d	82.182	17.818	96.230	3.770	25.03	224	0.875	bilinear
118	ecaresnet101d	82.172	17.828	96.046	3.954	44.57	224	0.875	bicubic
119	visformer_small	82.106	17.894	95.872	4.128	40.22	224	0.900	bicubic
120	tresnet_xl	82.054	17.946	95.936	4.064	78.44	224	0.875	bilinear
121	deit_base_patch16_224	81.998	18.002	95.734	4.266	86.57	224	0.900	bicubic
122	pit_s_distilled_224	81.996	18.004	95.798	4.202	24.04	224	0.900	bicubic
123	tf_efficientnetv2_b3	81.970	18.030	95.782	4.218	14.36	300	0.904	bicubic
124	vit_small_r26_s32_224	81.858	18.142	96.022	3.978	36.43	224	0.900	bicubic
125	ssl_resnext101_32x16d	81.844	18.156	96.096	3.904	194.03	224	0.875	bilinear
126	tf_efficientnet_b3_ap	81.822	18.178	95.624	4.376	12.23	300	0.904	bicubic
127	tresnet_m_448	81.714	18.286	95.572	4.428	31.39	448	0.875	bilinear
128	twins_svt_small	81.682	18.318	95.670	4.330	24.06	224	0.900	bicubic
129	tf_efficientnet_b3	81.636	18.364	95.718	4.282	12.23	300	0.904	bicubic
130	rexnet_200	81.632	18.368	95.668	4.332	16.37	224	0.875	bicubic
131	ssl_resnext101_32x8d	81.616	18.384	96.038	3.962	88.79	224	0.875	bilinear
132	tf_efficientnet_lite4	81.536	18.464	95.668	4.332	13.01	380	0.920	bilinear
133	tnt_s_patch16_224	81.518	18.482	95.748	4.252	23.76	224	0.900	bicubic
134	levit_256	81.510	18.490	95.490	4.510	18.89	224	0.900	bicubic
135	vit_large_patch32_384	81.506	18.494	96.092	3.908	306.63	384	1.000	bicubic
136	tresnet_l	81.490	18.510	95.624	4.376	55.99	224	0.875	bilinear
137	wide_resnet50_2	81.456	18.544	95.532	4.468	68.88	224	0.875	bicubic
138	convit_small	81.426	18.574	95.744	4.256	27.78	224	0.875	bicubic
139	vit_small_patch16_224	81.402	18.598	96.134	3.866	22.05	224	0.900	bicubic
140	tf_efficientnet_b1_ns	81.388	18.612	95.738	4.262	7.79	240	0.882	bicubic
141	swin_tiny_patch4_window7_224	81.378	18.622	95.540	4.460	28.29	224	0.900	bicubic
142	gernet_l	81.354	18.646	95.536	4.464	31.08	256	0.875	bilinear
143	efficientnet_el	81.316	18.684	95.526	4.474	10.59	300	0.904	bicubic
144	legacy_senet154	81.310	18.690	95.496	4.504	115.09	224	0.875	bilinear
145	coat_mini	81.268	18.732	95.392	4.608	10.34	224	0.900	bicubic
146	seresnext50_32x4d	81.266	18.734	95.620	4.380	27.56	224	0.875	bicubic
147	gluon_senet154	81.234	18.766	95.348	4.652	115.09	224	0.875	bicubic
148	deit_small_distilled_patch16_224	81.200	18.800	95.378	4.622	22.44	224	0.900	bicubic
149	swsl_resnet50	81.166	18.834	95.972	4.028	25.56	224	0.875	bilinear
150	resmlp_36_distilled_224	81.160	18.840	95.488	4.512	44.69	224	0.875	bicubic
151	resnest50d_4s2x40d	81.108	18.892	95.558	4.442	30.42	224	0.875	bicubic
152	pit_s_224	81.094	18.906	95.332	4.668	23.46	224	0.900	bicubic
153	twins_pcpvt_small	81.088	18.912	95.642	4.358	24.11	224	0.900	bicubic
154	resmlp_big_24_224	81.028	18.972	95.022	4.978	129.14	224	0.875	bicubic
155	gluon_resnet152_v1s	81.016	18.984	95.412	4.588	60.32	224	0.875	bicubic
156	resnest50d_1s4x24d	80.988	19.012	95.322	4.678	25.68	224	0.875	bicubic
157	resnest50d	80.974	19.026	95.378	4.622	27.48	224	0.875	bilinear
158	cait_xxs24_384	80.966	19.034	95.646	4.354	12.03	384	1.000	bicubic
159	ssl_resnext101_32x4d	80.924	19.076	95.728	4.272	44.18	224	0.875	bilinear
160	gluon_seresnext101_32x4d	80.904	19.096	95.294	4.706	48.96	224	0.875	bicubic
161	gluon_seresnext101_64x4d	80.894	19.106	95.308	4.692	88.23	224	0.875	bicubic
162	efficientnet_b3_pruned	80.858	19.142	95.242	4.758	9.86	300	0.904	bicubic
163	ecaresnet101d_pruned	80.818	19.182	95.628	4.372	24.88	224	0.875	bicubic
164	regnety_320	80.812	19.188	95.244	4.756	145.05	224	0.875	bicubic
165	resmlp_24_distilled_224	80.766	19.234	95.218	4.782	30.02	224	0.875	bicubic
166	gernet_m	80.732	19.268	95.184	4.816	21.14	224	0.875	bilinear
167	vit_base_patch32_224	80.724	19.276	95.568	4.432	88.22	224	0.900	bicubic
168	nf_resnet50	80.660	19.340	95.336	4.664	25.56	288	0.940	bicubic
169	efficientnet_b2	80.612	19.388	95.318	4.682	9.11	288	1.000	bicubic
170	gluon_resnext101_64x4d	80.604	19.396	94.988	5.012	83.46	224	0.875	bicubic
171	ecaresnet50d	80.592	19.408	95.320	4.680	25.58	224	0.875	bicubic
172	resnet50d	80.530	19.470	95.160	4.840	25.58	224	0.875	bicubic
173	repvgg_b3	80.492	19.508	95.260	4.740	123.09	224	0.875	bilinear
174	vit_small_patch32_384	80.480	19.520	95.598	4.402	22.92	384	1.000	bicubic
175	mixnet_xl	80.476	19.524	94.936	5.064	11.90	224	0.875	bicubic
176	gluon_resnet152_v1d	80.474	19.526	95.206	4.794	60.21	224	0.875	bicubic
177	ecaresnetlight	80.462	19.538	95.250	4.750	30.16	224	0.875	bicubic
178	inception_resnet_v2	80.458	19.542	95.306	4.694	55.84	299	0.897	bicubic
179	gluon_resnet101_v1d	80.414	19.586	95.014	4.986	44.57	224	0.875	bicubic
180	regnety_120	80.366	19.634	95.126	4.874	51.82	224	0.875	bicubic
181	resnetv2_50x1_bitm	80.342	19.658	95.684	4.316	25.55	448	1.000	bilinear
182	gluon_resnext101_32x4d	80.334	19.666	94.926	5.074	44.18	224	0.875	bicubic
183	ssl_resnext50_32x4d	80.318	19.682	95.406	4.594	25.03	224	0.875	bilinear
184	rexnet_150	80.310	19.690	95.166	4.834	9.73	224	0.875	bicubic
185	gluon_resnet101_v1s	80.302	19.698	95.160	4.840	44.67	224	0.875	bicubic
186	tf_efficientnet_b2_ap	80.300	19.700	95.028	4.972	9.11	260	0.890	bicubic
187	efficientnet_el_pruned	80.300	19.700	95.218	4.782	10.59	300	0.904	bicubic
188	seresnet50	80.274	19.726	95.070	4.930	28.09	224	0.875	bicubic
189	tf_efficientnet_el	80.250	19.750	95.128	4.872	10.59	300	0.904	bicubic
190	regnetx_320	80.246	19.754	95.026	4.974	107.81	224	0.875	bicubic
191	legacy_seresnext101_32x4d	80.228	19.772	95.018	4.982	48.96	224	0.875	bilinear
192	repvgg_b3g4	80.212	19.788	95.110	4.890	83.83	224	0.875	bilinear
193	tf_efficientnetv2_b2	80.208	19.792	95.042	4.958	10.10	260	0.890	bicubic
194	inception_v4	80.168	19.832	94.968	5.032	42.68	299	0.875	bicubic
195	dpn107	80.156	19.844	94.910	5.090	86.92	224	0.875	bicubic
196	skresnext50_32x4d	80.156	19.844	94.642	5.358	27.48	224	0.875	bicubic
197	tf_efficientnet_b2	80.086	19.914	94.908	5.092	9.11	260	0.890	bicubic
198	cspdarknet53	80.058	19.942	95.084	4.916	27.64	256	0.887	bilinear
199	cspresnext50	80.040	19.960	94.944	5.056	20.57	224	0.875	bilinear
200	dpn92	80.008	19.992	94.836	5.164	37.67	224	0.875	bicubic
201	ens_adv_inception_resnet_v2	79.982	20.018	94.938	5.062	55.84	299	0.897	bicubic
202	gluon_seresnext50_32x4d	79.918	20.082	94.822	5.178	27.56	224	0.875	bicubic
203	efficientnet_b2_pruned	79.916	20.084	94.856	5.144	8.31	260	0.890	bicubic
204	gluon_resnet152_v1c	79.910	20.090	94.840	5.160	60.21	224	0.875	bicubic
205	resnetrs50	79.892	20.108	94.968	5.032	35.69	224	0.910	bicubic
206	regnety_080	79.876	20.124	94.830	5.170	39.18	224	0.875	bicubic
207	xception71	79.874	20.126	94.922	5.078	42.34	299	0.903	bicubic
208	deit_small_patch16_224	79.856	20.144	95.052	4.948	22.05	224	0.900	bicubic
209	regnetx_160	79.856	20.144	94.830	5.170	54.28	224	0.875	bicubic
210	ecaresnet26t	79.854	20.146	95.084	4.916	16.01	320	0.950	bicubic
211	levit_192	79.842	20.158	94.786	5.214	10.95	224	0.900	bicubic
212	dpn131	79.822	20.178	94.710	5.290	79.25	224	0.875	bicubic
213	tf_efficientnet_lite3	79.820	20.180	94.914	5.086	8.20	300	0.904	bilinear
214	resmlp_36_224	79.770	20.230	94.886	5.114	44.69	224	0.875	bicubic
215	resnext50_32x4d	79.768	20.232	94.598	5.402	25.03	224	0.875	bicubic
216	cait_xxs36_224	79.750	20.250	94.866	5.134	17.30	224	1.000	bicubic
217	regnety_064	79.722	20.278	94.768	5.232	30.58	224	0.875	bicubic
218	ecaresnet50d_pruned	79.716	20.284	94.880	5.120	19.94	224	0.875	bicubic
219	gluon_xception65	79.716	20.284	94.860	5.140	39.92	299	0.903	bicubic
220	gluon_resnet152_v1b	79.686	20.314	94.736	5.264	60.19	224	0.875	bicubic
221	resnext50d_32x4d	79.676	20.324	94.866	5.134	25.05	224	0.875	bicubic
222	dpn98	79.642	20.358	94.598	5.402	61.57	224	0.875	bicubic
223	regnetx_120	79.596	20.404	94.738	5.262	46.11	224	0.875	bicubic
224	cspresnet50	79.574	20.426	94.712	5.288	21.62	256	0.887	bilinear
225	xception65	79.552	20.448	94.654	5.346	39.92	299	0.903	bicubic
226	gluon_resnet101_v1c	79.534	20.466	94.578	5.422	44.57	224	0.875	bicubic
227	rexnet_130	79.500	20.500	94.682	5.318	7.56	224	0.875	bicubic
228	hrnet_w64	79.474	20.526	94.652	5.348	128.06	224	0.875	bilinear
229	tf_efficientnetv2_b1	79.462	20.538	94.722	5.278	8.14	240	0.882	bicubic
230	dla102x2	79.448	20.552	94.640	5.360	41.28	224	0.875	bilinear
231	resmlp_24_224	79.374	20.626	94.546	5.454	30.02	224	0.875	bicubic
232	repvgg_b2g4	79.366	20.634	94.688	5.312	61.76	224	0.875	bilinear
233	gluon_resnext50_32x4d	79.354	20.646	94.426	5.574	25.03	224	0.875	bicubic
234	ese_vovnet39b	79.320	20.680	94.712	5.288	24.57	224	0.875	bicubic
235	resnext101_32x8d	79.308	20.692	94.518	5.482	88.79	224	0.875	bilinear
236	tf_efficientnet_cc_b1_8e	79.308	20.692	94.370	5.630	39.72	240	0.882	bicubic
237	gluon_resnet101_v1b	79.306	20.694	94.524	5.476	44.55	224	0.875	bicubic
238	pit_xs_distilled_224	79.306	20.694	94.364	5.636	11.00	224	0.900	bicubic
239	hrnet_w48	79.300	20.700	94.512	5.488	77.47	224	0.875	bilinear
240	nf_regnet_b1	79.292	20.708	94.748	5.252	10.22	288	0.900	bicubic
241	resnetblur50	79.286	20.714	94.638	5.362	25.56	224	0.875	bicubic
242	tf_efficientnet_b1_ap	79.280	20.720	94.306	5.694	7.79	240	0.882	bicubic
243	efficientnet_em	79.252	20.748	94.794	5.206	6.90	240	0.882	bicubic
244	ssl_resnet50	79.222	20.778	94.832	5.168	25.56	224	0.875	bilinear
245	regnety_040	79.220	20.780	94.656	5.344	20.65	224	0.875	bicubic
246	dpn68b	79.216	20.784	94.414	5.586	12.61	224	0.875	bicubic
247	res2net50_26w_8s	79.198	20.802	94.368	5.632	48.40	224	0.875	bilinear
248	res2net101_26w_4s	79.198	20.802	94.432	5.568	45.21	224	0.875	bilinear
249	regnetx_080	79.194	20.806	94.560	5.440	39.57	224	0.875	bicubic
250	coat_lite_mini	79.088	20.912	94.604	5.396	11.01	224	0.900	bicubic
251	legacy_seresnext50_32x4d	79.078	20.922	94.436	5.564	27.56	224	0.875	bilinear
252	gluon_resnet50_v1d	79.074	20.926	94.470	5.530	25.58	224	0.875	bicubic
253	regnetx_064	79.072	20.928	94.458	5.542	26.21	224	0.875	bicubic
254	xception	79.052	20.948	94.392	5.608	22.86	299	0.897	bicubic
255	resnet50	79.038	20.962	94.390	5.610	25.56	224	0.875	bicubic
256	mixnet_l	78.976	21.024	94.182	5.818	7.33	224	0.875	bicubic
257	hrnet_w40	78.920	21.080	94.470	5.530	57.56	224	0.875	bilinear
258	hrnet_w44	78.896	21.104	94.368	5.632	67.06	224	0.875	bilinear
259	wide_resnet101_2	78.856	21.144	94.282	5.718	126.89	224	0.875	bilinear
260	tf_efficientnet_b1	78.826	21.174	94.198	5.802	7.79	240	0.882	bicubic
261	gluon_inception_v3	78.806	21.194	94.370	5.630	23.83	299	0.875	bicubic
262	efficientnet_b1	78.794	21.206	94.342	5.658	7.79	256	1.000	bicubic
263	repvgg_b2	78.792	21.208	94.414	5.586	89.02	224	0.875	bilinear
264	tf_mixnet_l	78.774	21.226	93.998	6.002	7.33	224	0.875	bicubic
265	gluon_resnet50_v1s	78.712	21.288	94.238	5.762	25.68	224	0.875	bicubic
266	dla169	78.688	21.312	94.336	5.664	53.39	224	0.875	bilinear
267	legacy_seresnet152	78.660	21.340	94.370	5.630	66.82	224	0.875	bilinear
268	tf_efficientnet_b0_ns	78.658	21.342	94.376	5.624	5.29	224	0.875	bicubic
269	res2net50_26w_6s	78.570	21.430	94.124	5.876	37.05	224	0.875	bilinear
270	xception41	78.516	21.484	94.278	5.722	26.97	299	0.903	bicubic
271	dla102x	78.510	21.490	94.228	5.772	26.31	224	0.875	bilinear
272	levit_128	78.486	21.514	94.010	5.990	9.21	224	0.900	bicubic
273	regnetx_040	78.482	21.518	94.244	5.756	22.12	224	0.875	bicubic
274	resnest26d	78.478	21.522	94.298	5.702	17.07	224	0.875	bilinear
275	dla60_res2net	78.464	21.536	94.206	5.794	20.85	224	0.875	bilinear
276	hrnet_w32	78.450	21.550	94.186	5.814	41.23	224	0.875	bilinear
277	dla60_res2next	78.440	21.560	94.152	5.848	17.03	224	0.875	bilinear
278	coat_tiny	78.434	21.566	94.038	5.962	5.50	224	0.900	bicubic
279	vit_tiny_patch16_384	78.430	21.570	94.542	5.458	5.79	384	1.000	bicubic
280	selecsls60b	78.412	21.588	94.174	5.826	32.77	224	0.875	bicubic
281	cait_xxs24_224	78.386	21.614	94.310	5.690	11.96	224	1.000	bicubic
282	legacy_seresnet101	78.382	21.618	94.264	5.736	49.33	224	0.875	bilinear
283	repvgg_b1	78.366	21.634	94.098	5.902	57.42	224	0.875	bilinear
284	tf_efficientnetv2_b0	78.356	21.644	94.024	5.976	7.14	224	0.875	bicubic
285	tv_resnet152	78.312	21.688	94.038	5.962	60.19	224	0.875	bilinear
286	dla60x	78.246	21.754	94.018	5.982	17.35	224	0.875	bilinear
287	res2next50	78.246	21.754	93.892	6.108	24.67	224	0.875	bilinear
288	efficientnet_b1_pruned	78.236	21.764	93.834	6.166	6.33	240	0.882	bicubic
289	hrnet_w30	78.206	21.794	94.222	5.778	37.71	224	0.875	bilinear
290	pit_xs_224	78.182	21.818	94.168	5.832	10.62	224	0.900	bicubic
291	regnetx_032	78.172	21.828	94.088	5.912	15.30	224	0.875	bicubic
292	res2net50_14w_8s	78.150	21.850	93.848	6.152	25.06	224	0.875	bilinear
293	tf_efficientnet_em	78.130	21.870	94.044	5.956	6.90	240	0.882	bicubic
294	hardcorenas_f	78.104	21.896	93.802	6.198	8.20	224	0.875	bilinear
295	efficientnet_es	78.066	21.934	93.926	6.074	5.44	224	0.875	bicubic
296	gmixer_24_224	78.036	21.964	93.664	6.336	24.72	224	0.875	bicubic
297	dla102	78.032	21.968	93.946	6.054	33.27	224	0.875	bilinear
298	gluon_resnet50_v1c	78.012	21.988	93.988	6.012	25.58	224	0.875	bicubic
299	seresnext26t_32x4d	77.986	22.014	93.746	6.254	16.81	224	0.875	bicubic
300	selecsls60	77.982	22.018	93.828	6.172	30.67	224	0.875	bicubic
301	res2net50_26w_4s	77.964	22.036	93.854	6.146	25.70	224	0.875	bilinear
302	resmlp_12_distilled_224	77.944	22.056	93.558	6.442	15.35	224	0.875	bicubic
303	mobilenetv3_large_100_miil	77.916	22.084	92.910	7.090	5.48	224	0.875	bilinear
304	tf_efficientnet_cc_b0_8e	77.908	22.092	93.654	6.346	24.01	224	0.875	bicubic
305	regnety_016	77.862	22.138	93.720	6.280	11.20	224	0.875	bicubic
306	tf_inception_v3	77.862	22.138	93.640	6.360	23.83	299	0.875	bicubic
307	rexnet_100	77.858	22.142	93.870	6.130	4.80	224	0.875	bicubic
308	hardcorenas_e	77.794	22.206	93.694	6.306	8.07	224	0.875	bilinear
309	efficientnet_b0	77.698	22.302	93.532	6.468	5.29	224	0.875	bicubic
310	legacy_seresnet50	77.630	22.370	93.748	6.252	28.09	224	0.875	bilinear
311	tv_resnext50_32x4d	77.620	22.380	93.696	6.304	25.03	224	0.875	bilinear
312	seresnext26d_32x4d	77.602	22.398	93.608	6.392	16.81	224	0.875	bicubic
313	repvgg_b1g4	77.594	22.406	93.826	6.174	39.97	224	0.875	bilinear
314	adv_inception_v3	77.582	22.418	93.736	6.264	23.83	299	0.875	bicubic
315	gluon_resnet50_v1b	77.580	22.420	93.716	6.284	25.56	224	0.875	bicubic
316	res2net50_48w_2s	77.522	22.478	93.554	6.446	25.29	224	0.875	bilinear
317	coat_lite_tiny	77.512	22.488	93.916	6.084	5.72	224	0.900	bicubic
318	tf_efficientnet_lite2	77.468	22.532	93.754	6.246	6.09	260	0.890	bicubic
319	inception_v3	77.438	22.562	93.474	6.526	23.83	299	0.875	bicubic
320	hardcorenas_d	77.432	22.568	93.484	6.516	7.50	224	0.875	bilinear
321	tv_resnet101	77.374	22.626	93.540	6.460	44.55	224	0.875	bilinear
322	densenet161	77.358	22.642	93.638	6.362	28.68	224	0.875	bicubic
323	tf_efficientnet_cc_b0_4e	77.306	22.694	93.334	6.666	13.31	224	0.875	bicubic
324	densenet201	77.286	22.714	93.478	6.522	20.01	224	0.875	bicubic
325	mobilenetv2_120d	77.284	22.716	93.492	6.508	5.83	224	0.875	bicubic
326	mixnet_m	77.260	22.740	93.424	6.576	5.01	224	0.875	bicubic
327	selecsls42b	77.174	22.826	93.390	6.610	32.46	224	0.875	bicubic
328	resnet34d	77.116	22.884	93.382	6.618	21.82	224	0.875	bicubic
329	legacy_seresnext26_32x4d	77.104	22.896	93.316	6.684	16.79	224	0.875	bicubic
330	tf_efficientnet_b0_ap	77.086	22.914	93.256	6.744	5.29	224	0.875	bicubic
331	hardcorenas_c	77.054	22.946	93.158	6.842	5.52	224	0.875	bilinear
332	dla60	77.032	22.968	93.318	6.682	22.04	224	0.875	bilinear
333	regnetx_016	76.950	23.050	93.420	6.580	9.19	224	0.875	bicubic
334	tf_mixnet_m	76.942	23.058	93.152	6.848	5.01	224	0.875	bicubic
335	gernet_s	76.916	23.084	93.132	6.868	8.17	224	0.875	bilinear
336	skresnet34	76.912	23.088	93.322	6.678	22.28	224	0.875	bicubic
337	tf_efficientnet_b0	76.848	23.152	93.228	6.772	5.29	224	0.875	bicubic
338	ese_vovnet19b_dw	76.798	23.202	93.268	6.732	6.54	224	0.875	bicubic
339	hrnet_w18	76.758	23.242	93.444	6.556	21.30	224	0.875	bilinear
340	resnet26d	76.696	23.304	93.150	6.850	16.01	224	0.875	bicubic
341	resmlp_12_224	76.654	23.346	93.180	6.820	15.35	224	0.875	bicubic
342	tf_efficientnet_lite1	76.642	23.358	93.226	6.774	5.42	240	0.882	bicubic
343	mixer_b16_224	76.602	23.398	92.228	7.772	59.88	224	0.875	bicubic
344	tf_efficientnet_es	76.594	23.406	93.202	6.798	5.44	224	0.875	bicubic
345	densenetblur121d	76.588	23.412	93.192	6.808	8.00	224	0.875	bicubic
346	hardcorenas_b	76.538	23.462	92.754	7.246	5.18	224	0.875	bilinear
347	levit_128s	76.530	23.470	92.866	7.134	7.78	224	0.900	bicubic
348	mobilenetv2_140	76.516	23.484	92.996	7.004	6.11	224	0.875	bicubic
349	repvgg_a2	76.460	23.540	93.004	6.996	28.21	224	0.875	bilinear
350	dpn68	76.318	23.682	92.978	7.022	12.61	224	0.875	bicubic
351	regnety_008	76.316	23.684	93.066	6.934	6.26	224	0.875	bicubic
352	tv_resnet50	76.138	23.862	92.864	7.136	25.56	224	0.875	bilinear
353	mixnet_s	75.992	24.008	92.796	7.204	4.13	224	0.875	bicubic
354	vit_small_patch32_224	75.990	24.010	93.272	6.728	22.88	224	0.900	bicubic
355	vit_tiny_r_s16_p8_384	75.952	24.048	93.260	6.740	6.36	384	1.000	bicubic
356	hardcorenas_a	75.916	24.084	92.514	7.486	5.26	224	0.875	bilinear
357	densenet169	75.906	24.094	93.026	6.974	14.15	224	0.875	bicubic
358	mobilenetv3_large_100	75.766	24.234	92.542	7.458	5.48	224	0.875	bicubic
359	tf_mixnet_s	75.650	24.350	92.628	7.372	4.13	224	0.875	bicubic
360	mobilenetv3_rw	75.634	24.366	92.708	7.292	5.48	224	0.875	bicubic
361	densenet121	75.578	24.422	92.652	7.348	7.98	224	0.875	bicubic
362	tf_mobilenetv3_large_100	75.518	24.482	92.606	7.394	5.48	224	0.875	bilinear
363	resnest14d	75.506	24.494	92.518	7.482	10.61	224	0.875	bilinear
364	efficientnet_lite0	75.484	24.516	92.510	7.490	4.65	224	0.875	bicubic
365	vit_tiny_patch16_224	75.454	24.546	92.848	7.152	5.72	224	0.900	bicubic
366	semnasnet_100	75.448	24.552	92.604	7.396	3.89	224	0.875	bicubic
367	resnet26	75.292	24.708	92.570	7.430	16.00	224	0.875	bicubic
368	regnety_006	75.246	24.754	92.532	7.468	6.06	224	0.875	bicubic
369	repvgg_b0	75.152	24.848	92.418	7.582	15.82	224	0.875	bilinear
370	fbnetc_100	75.124	24.876	92.386	7.614	5.57	224	0.875	bilinear
371	hrnet_w18_small_v2	75.114	24.886	92.416	7.584	15.60	224	0.875	bilinear
372	resnet34	75.110	24.890	92.284	7.716	21.80	224	0.875	bilinear
373	regnetx_008	75.038	24.962	92.336	7.664	7.26	224	0.875	bicubic
374	mobilenetv2_110d	75.036	24.964	92.186	7.814	4.52	224	0.875	bicubic
375	efficientnet_es_pruned	75.000	25.000	92.448	7.552	5.44	224	0.875	bicubic
376	tf_efficientnet_lite0	74.830	25.170	92.176	7.824	4.65	224	0.875	bicubic
377	legacy_seresnet34	74.808	25.192	92.124	7.876	21.96	224	0.875	bilinear
378	tv_densenet121	74.738	25.262	92.150	7.850	7.98	224	0.875	bicubic
379	mnasnet_100	74.658	25.342	92.114	7.886	4.38	224	0.875	bicubic
380	dla34	74.630	25.370	92.078	7.922	15.74	224	0.875	bilinear
381	gluon_resnet34_v1b	74.588	25.412	91.990	8.010	21.80	224	0.875	bicubic
382	pit_ti_distilled_224	74.530	25.470	92.096	7.904	5.10	224	0.900	bicubic
383	deit_tiny_distilled_patch16_224	74.510	25.490	91.890	8.110	5.91	224	0.900	bicubic
384	vgg19_bn	74.214	25.786	91.842	8.158	143.68	224	0.875	bilinear
385	spnasnet_100	74.084	25.916	91.818	8.182	4.42	224	0.875	bilinear
386	regnety_004	74.034	25.966	91.752	8.248	4.34	224	0.875	bicubic
387	ghostnet_100	73.978	26.022	91.456	8.544	5.18	224	0.875	bilinear
388	regnetx_006	73.852	26.148	91.672	8.328	6.20	224	0.875	bicubic
389	tf_mobilenetv3_large_075	73.438	26.562	91.350	8.650	3.99	224	0.875	bilinear
390	vgg16_bn	73.350	26.650	91.506	8.494	138.37	224	0.875	bilinear
391	tv_resnet34	73.312	26.688	91.426	8.574	21.80	224	0.875	bilinear
392	swsl_resnet18	73.276	26.724	91.734	8.266	11.69	224	0.875	bilinear
393	convit_tiny	73.116	26.884	91.714	8.286	5.71	224	0.875	bicubic
394	skresnet18	73.038	26.962	91.168	8.832	11.96	224	0.875	bicubic
395	mobilenetv2_100	72.970	27.030	91.016	8.984	3.50	224	0.875	bicubic
396	pit_ti_224	72.912	27.088	91.402	8.598	4.85	224	0.900	bicubic
397	ssl_resnet18	72.610	27.390	91.416	8.584	11.69	224	0.875	bilinear
398	regnetx_004	72.396	27.604	90.830	9.170	5.16	224	0.875	bicubic
399	vgg19	72.368	27.632	90.872	9.128	143.67	224	0.875	bilinear
400	hrnet_w18_small	72.342	27.658	90.678	9.322	13.19	224	0.875	bilinear
401	resnet18d	72.260	27.740	90.696	9.304	11.71	224	0.875	bicubic
402	tf_mobilenetv3_large_minimal_100	72.248	27.752	90.630	9.370	3.92	224	0.875	bilinear
403	deit_tiny_patch16_224	72.168	27.832	91.118	8.882	5.72	224	0.900	bicubic
404	mixer_l16_224	72.058	27.942	87.668	12.332	208.20	224	0.875	bicubic
405	vit_tiny_r_s16_p8_224	71.788	28.212	90.828	9.172	6.34	224	0.900	bicubic
406	legacy_seresnet18	71.742	28.258	90.334	9.666	11.78	224	0.875	bicubic
407	vgg13_bn	71.594	28.406	90.376	9.624	133.05	224	0.875	bilinear
408	vgg16	71.594	28.406	90.382	9.618	138.36	224	0.875	bilinear
409	gluon_resnet18_v1b	70.836	29.164	89.762	10.238	11.69	224	0.875	bicubic
410	vgg11_bn	70.360	29.640	89.802	10.198	132.87	224	0.875	bilinear
411	regnety_002	70.252	29.748	89.540	10.460	3.16	224	0.875	bicubic
412	vgg13	69.926	30.074	89.246	10.754	133.05	224	0.875	bilinear
413	resnet18	69.748	30.252	89.078	10.922	11.69	224	0.875	bilinear
414	vgg11	69.024	30.976	88.628	11.372	132.86	224	0.875	bilinear
415	regnetx_002	68.762	31.238	88.556	11.444	2.68	224	0.875	bicubic
416	tf_mobilenetv3_small_100	67.922	32.078	87.664	12.336	2.54	224	0.875	bilinear
417	dla60x_c	67.892	32.108	88.426	11.574	1.32	224	0.875	bilinear
418	dla46x_c	65.970	34.030	86.980	13.020	1.07	224	0.875	bilinear
419	tf_mobilenetv3_small_075	65.716	34.284	86.130	13.870	2.04	224	0.875	bilinear
420	dla46_c	64.866	35.134	86.292	13.708	1.30	224	0.875	bilinear
421	tf_mobilenetv3_small_minimal_100	62.906	37.094	84.230	15.770	2.04	224	0.875	bilinear