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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation
2	beit_large_patch16_512	88.584	11.416	98.660	1.340	305.67	512	1.000	bicubic
3	beit_large_patch16_384	88.382	11.618	98.608	1.392	305.00	384	1.000	bicubic
4	tf_efficientnet_l2_ns	88.346	11.654	98.654	1.346	480.31	800	0.960	bicubic
5	tf_efficientnet_l2_ns_475	88.238	11.762	98.550	1.450	480.31	475	0.936	bicubic
6	beit_large_patch16_224	87.476	12.524	98.318	1.682	304.43	224	0.900	bicubic
7	swin_large_patch4_window12_384	87.150	12.850	98.238	1.762	196.74	384	1.000	bicubic
8	vit_large_patch16_384	87.092	12.908	98.306	1.694	304.72	384	1.000	bicubic
9	tf_efficientnet_b7_ns	86.830	13.170	98.084	1.916	66.35	600	0.949	bicubic
10	beit_base_patch16_384	86.808	13.192	98.140	1.860	86.74	384	1.000	bicubic
11	cait_m48_448	86.494	13.506	97.750	2.250	356.46	448	1.000	bicubic
12	tf_efficientnet_b6_ns	86.446	13.554	97.880	2.120	43.04	528	0.942	bicubic
13	swin_base_patch4_window12_384	86.436	13.564	98.066	1.934	87.90	384	1.000	bicubic
14	tf_efficientnetv2_xl_in21ft1k	86.404	13.596	97.868	2.132	208.12	512	1.000	bicubic
15	swin_large_patch4_window7_224	86.316	13.684	97.890	2.110	196.53	224	0.900	bicubic
16	tf_efficientnetv2_l_in21ft1k	86.292	13.708	97.984	2.016	118.52	480	1.000	bicubic
17	vit_large_r50_s32_384	86.180	13.820	97.924	2.076	329.09	384	1.000	bicubic
18	dm_nfnet_f6	86.130	13.870	97.740	2.260	438.36	576	0.956	bicubic
19	tf_efficientnet_b5_ns	86.076	13.924	97.752	2.248	30.39	456	0.934	bicubic
20	cait_m36_384	86.056	13.944	97.730	2.270	271.22	384	1.000	bicubic
21	vit_base_patch16_384	86.000	14.000	98.006	1.994	86.86	384	1.000	bicubic
22	xcit_large_24_p8_384_dist	85.996	14.004	97.688	2.312	188.93	384	1.000	bicubic
23	vit_large_patch16_224	85.838	14.162	97.826	2.174	304.33	224	0.900	bicubic
24	xcit_medium_24_p8_384_dist	85.820	14.180	97.594	2.406	84.32	384	1.000	bicubic
25	dm_nfnet_f5	85.806	14.194	97.482	2.518	377.21	544	0.954	bicubic
26	xcit_large_24_p16_384_dist	85.770	14.230	97.534	2.466	189.10	384	1.000	bicubic
27	dm_nfnet_f4	85.700	14.300	97.514	2.486	316.07	512	0.951	bicubic
28	tf_efficientnetv2_m_in21ft1k	85.598	14.402	97.752	2.248	54.14	480	1.000	bicubic
29	xcit_small_24_p8_384_dist	85.566	14.434	97.576	2.424	47.63	384	1.000	bicubic
30	dm_nfnet_f3	85.532	14.468	97.458	2.542	254.92	416	0.940	bicubic
31	tf_efficientnetv2_l	85.502	14.498	97.370	2.630	118.52	480	1.000	bicubic
32	cait_s36_384	85.454	14.546	97.482	2.518	68.37	384	1.000	bicubic
33	ig_resnext101_32x48d	85.430	14.570	97.582	2.418	828.41	224	0.875	bilinear
34	xcit_medium_24_p16_384_dist	85.426	14.574	97.408	2.592	84.40	384	1.000	bicubic
35	deit_base_distilled_patch16_384	85.422	14.578	97.332	2.668	87.63	384	1.000	bicubic
36	xcit_large_24_p8_224_dist	85.400	14.600	97.416	2.584	188.93	224	1.000	bicubic
37	tf_efficientnet_b8_ap	85.374	14.626	97.298	2.702	87.41	672	0.954	bicubic
38	tf_efficientnet_b8	85.350	14.650	97.392	2.608	87.41	672	0.954	bicubic
39	swin_base_patch4_window7_224	85.268	14.732	97.558	2.442	87.77	224	0.900	bicubic
40	beit_base_patch16_224	85.240	14.760	97.654	2.346	86.53	224	0.900	bicubic
41	tf_efficientnet_b4_ns	85.150	14.850	97.470	2.530	19.34	380	0.922	bicubic
42	tf_efficientnet_b7_ap	85.120	14.880	97.250	2.750	66.35	600	0.949	bicubic
43	xcit_small_24_p16_384_dist	85.104	14.896	97.316	2.684	47.67	384	1.000	bicubic
44	ig_resnext101_32x32d	85.094	14.906	97.438	2.562	468.53	224	0.875	bilinear
45	xcit_small_12_p8_384_dist	85.082	14.918	97.270	2.730	26.21	384	1.000	bicubic
46	xcit_medium_24_p8_224_dist	85.068	14.932	97.276	2.724	84.32	224	1.000	bicubic
47	dm_nfnet_f2	85.046	14.954	97.238	2.762	193.78	352	0.920	bicubic
48	tf_efficientnetv2_m	85.046	14.954	97.284	2.716	54.14	480	1.000	bicubic
49	cait_s24_384	85.044	14.956	97.350	2.650	47.06	384	1.000	bicubic
50	resnetrs420	85.008	14.992	97.126	2.874	191.89	416	1.000	bicubic
51	ecaresnet269d	84.986	15.014	97.228	2.772	102.09	352	1.000	bicubic
52	vit_base_r50_s16_384	84.984	15.016	97.298	2.702	98.95	384	1.000	bicubic
53	resnetv2_152x4_bitm	84.938	15.062	97.458	2.542	936.53	480	1.000	bilinear
54	tf_efficientnet_b7	84.936	15.064	97.206	2.794	66.35	600	0.949	bicubic
55	xcit_large_24_p16_224_dist	84.930	15.070	97.130	2.870	189.10	224	1.000	bicubic
56	xcit_small_24_p8_224_dist	84.876	15.124	97.198	2.802	47.63	224	1.000	bicubic
57	efficientnetv2_rw_m	84.822	15.178	97.146	2.854	53.24	416	1.000	bicubic
58	tf_efficientnet_b6_ap	84.784	15.216	97.138	2.862	43.04	528	0.942	bicubic
59	eca_nfnet_l2	84.720	15.280	97.258	2.742	56.72	384	1.000	bicubic
60	xcit_small_12_p16_384_dist	84.714	15.286	97.116	2.884	26.25	384	1.000	bicubic
61	resnetrs350	84.712	15.288	96.990	3.010	163.96	384	1.000	bicubic
62	dm_nfnet_f1	84.624	15.376	97.096	2.904	132.63	320	0.910	bicubic
63	vit_base_patch16_224	84.540	15.460	97.306	2.694	86.57	224	0.900	bicubic
64	resnest269e	84.524	15.476	96.986	3.014	110.93	416	0.928	bicubic
65	resnetv2_152x2_bitm	84.452	15.548	97.436	2.564	236.34	448	1.000	bilinear
66	vit_large_r50_s32_224	84.440	15.560	97.154	2.846	328.99	224	0.900	bicubic
67	resnetrs270	84.440	15.560	96.970	3.030	129.86	352	1.000	bicubic
68	resnetv2_101x3_bitm	84.430	15.570	97.372	2.628	387.93	448	1.000	bilinear
69	resmlp_big_24_224_in22ft1k	84.424	15.576	97.116	2.884	129.14	224	0.875	bicubic
70	xcit_large_24_p8_224	84.382	15.618	96.656	3.344	188.93	224	1.000	bicubic
71	seresnet152d	84.362	15.638	97.042	2.958	66.84	320	1.000	bicubic
72	tf_efficientnetv2_s_in21ft1k	84.296	15.704	97.256	2.744	21.46	384	1.000	bicubic
73	xcit_medium_24_p16_224_dist	84.278	15.722	96.942	3.058	84.40	224	1.000	bicubic
74	vit_base_patch16_224_miil	84.276	15.724	96.798	3.202	86.54	224	0.875	bilinear
75	swsl_resnext101_32x8d	84.274	15.726	97.174	2.826	88.79	224	0.875	bilinear
76	tf_efficientnet_b5_ap	84.258	15.742	96.976	3.024	30.39	456	0.934	bicubic
77	xcit_small_12_p8_224_dist	84.240	15.760	96.872	3.128	26.21	224	1.000	bicubic
78	crossvit_18_dagger_408	84.184	15.816	96.822	3.178	44.61	408	1.000	bicubic
79	ig_resnext101_32x16d	84.166	15.834	97.196	2.804	194.03	224	0.875	bilinear
80	pit_b_distilled_224	84.158	15.842	96.858	3.142	74.79	224	0.900	bicubic
81	tf_efficientnet_b6	84.112	15.888	96.888	3.112	43.04	528	0.942	bicubic
82	resnetrs200	84.058	15.942	96.874	3.126	93.21	320	1.000	bicubic
83	cait_xs24_384	84.054	15.946	96.886	3.114	26.67	384	1.000	bicubic
84	vit_small_r26_s32_384	84.050	15.950	97.322	2.678	36.47	384	1.000	bicubic
85	tf_efficientnet_b3_ns	84.042	15.958	96.908	3.092	12.23	300	0.904	bicubic
86	regnetz_d	84.034	15.966	96.870	3.130	27.58	320	0.950	bicubic
87	eca_nfnet_l1	84.032	15.968	97.032	2.968	41.41	320	1.000	bicubic
88	resnetv2_50x3_bitm	83.984	16.016	97.130	2.870	217.32	448	1.000	bilinear
89	resnet200d	83.970	16.030	96.818	3.182	64.69	320	1.000	bicubic
90	tf_efficientnetv2_s	83.898	16.102	96.698	3.302	21.46	384	1.000	bicubic
91	xcit_small_24_p16_224_dist	83.874	16.126	96.728	3.272	47.67	224	1.000	bicubic
92	resnest200e	83.848	16.152	96.890	3.110	70.20	320	0.909	bicubic
93	xcit_small_24_p8_224	83.846	16.154	96.632	3.368	47.63	224	1.000	bicubic
94	resnetv2_152x2_bit_teacher_384	83.844	16.156	97.118	2.882	236.34	384	1.000	bicubic
95	efficientnetv2_rw_s	83.830	16.170	96.722	3.278	23.94	384	1.000	bicubic
96	crossvit_15_dagger_408	83.826	16.174	96.786	3.214	28.50	408	1.000	bicubic
97	tf_efficientnet_b5	83.810	16.190	96.748	3.252	30.39	456	0.934	bicubic
98	vit_small_patch16_384	83.794	16.206	97.108	2.892	22.20	384	1.000	bicubic
99	xcit_tiny_24_p8_384_dist	83.764	16.236	96.704	3.296	12.11	384	1.000	bicubic
100	xcit_medium_24_p8_224	83.736	16.264	96.386	3.614	84.32	224	1.000	bicubic
101	resnetrs152	83.710	16.290	96.610	3.390	86.62	320	1.000	bicubic
102	regnety_160	83.702	16.298	96.782	3.218	83.59	288	1.000	bicubic
103	twins_svt_large	83.684	16.316	96.610	3.390	99.27	224	0.900	bicubic
104	resnet152d	83.664	16.336	96.734	3.266	60.21	320	1.000	bicubic
105	resmlp_big_24_distilled_224	83.596	16.404	96.656	3.344	129.14	224	0.875	bicubic
106	jx_nest_base	83.554	16.446	96.364	3.636	67.72	224	0.875	bicubic
107	cait_s24_224	83.462	16.538	96.566	3.434	46.92	224	1.000	bicubic
108	efficientnet_b4	83.430	16.570	96.594	3.406	19.34	384	1.000	bicubic
109	deit_base_distilled_patch16_224	83.388	16.612	96.490	3.510	87.34	224	0.900	bicubic
110	dm_nfnet_f0	83.384	16.616	96.580	3.420	71.49	256	0.900	bicubic
111	swsl_resnext101_32x16d	83.354	16.646	96.836	3.164	194.03	224	0.875	bilinear
112	xcit_small_12_p16_224_dist	83.350	16.650	96.422	3.578	26.25	224	1.000	bicubic
113	vit_base_patch32_384	83.346	16.654	96.844	3.156	88.30	384	1.000	bicubic
114	xcit_small_12_p8_224	83.346	16.654	96.476	3.524	26.21	224	1.000	bicubic
115	tf_efficientnet_b4_ap	83.258	16.742	96.396	3.604	19.34	380	0.922	bicubic
116	swin_small_patch4_window7_224	83.226	16.774	96.330	3.670	49.61	224	0.900	bicubic
117	swsl_resnext101_32x4d	83.226	16.774	96.768	3.232	44.18	224	0.875	bilinear
118	twins_pcpvt_large	83.138	16.862	96.608	3.392	60.99	224	0.900	bicubic
119	twins_svt_base	83.124	16.876	96.428	3.572	56.07	224	0.900	bicubic
120	jx_nest_small	83.118	16.882	96.332	3.668	38.35	224	0.875	bicubic
121	deit_base_patch16_384	83.106	16.894	96.376	3.624	86.86	384	1.000	bicubic
122	tresnet_m	83.076	16.924	96.126	3.874	31.39	224	0.875	bilinear
123	tresnet_xl_448	83.056	16.944	96.184	3.816	78.44	448	0.875	bilinear
124	tf_efficientnet_b4	83.030	16.970	96.298	3.702	19.34	380	0.922	bicubic
125	resnet101d	83.024	16.976	96.456	3.544	44.57	320	1.000	bicubic
126	resnetv2_152x2_bit_teacher	82.902	17.098	96.568	3.432	236.34	224	0.875	bicubic
127	xcit_large_24_p16_224	82.898	17.102	95.882	4.118	189.10	224	1.000	bicubic
128	resnest101e	82.876	17.124	96.312	3.688	48.28	256	0.875	bilinear
129	resnetv2_50x1_bit_distilled	82.822	17.178	96.524	3.476	25.55	224	0.875	bicubic
130	pnasnet5large	82.798	17.202	96.034	3.966	86.06	331	0.911	bicubic
131	nfnet_l0	82.752	17.248	96.516	3.484	35.07	288	1.000	bicubic
132	regnety_032	82.722	17.278	96.432	3.568	19.44	288	1.000	bicubic
133	twins_pcpvt_base	82.712	17.288	96.348	3.652	43.83	224	0.900	bicubic
134	ig_resnext101_32x8d	82.710	17.290	96.640	3.360	88.79	224	0.875	bilinear
135	nasnetalarge	82.636	17.364	96.050	3.950	88.75	331	0.911	bicubic
136	xcit_medium_24_p16_224	82.626	17.374	95.976	4.024	84.40	224	1.000	bicubic
137	eca_nfnet_l0	82.592	17.408	96.486	3.514	24.14	288	1.000	bicubic
138	levit_384	82.592	17.408	96.014	3.986	39.13	224	0.900	bicubic
139	xcit_small_24_p16_224	82.578	17.422	96.000	4.000	47.67	224	1.000	bicubic
140	xcit_tiny_24_p8_224_dist	82.576	17.424	96.180	3.820	12.11	224	1.000	bicubic
141	xcit_tiny_24_p16_384_dist	82.568	17.432	96.294	3.706	12.12	384	1.000	bicubic
142	resnet61q	82.522	17.478	96.134	3.866	36.85	288	1.000	bicubic
143	regnetz_c	82.516	17.484	96.360	3.640	13.46	320	0.940	bicubic
144	crossvit_18_dagger_240	82.506	17.494	96.072	3.928	44.27	240	0.875	bicubic
145	gc_efficientnetv2_rw_t	82.478	17.522	96.296	3.704	13.68	288	1.000	bicubic
146	pit_b_224	82.444	17.556	95.712	4.288	73.76	224	0.900	bicubic
147	crossvit_18_240	82.394	17.606	96.062	3.938	43.27	240	0.875	bicubic
148	xcit_tiny_12_p8_384_dist	82.392	17.608	96.218	3.782	6.71	384	1.000	bicubic
149	tf_efficientnet_b2_ns	82.390	17.610	96.240	3.760	9.11	260	0.890	bicubic
150	resnet51q	82.368	17.632	96.176	3.824	35.70	288	1.000	bilinear
151	ecaresnet50t	82.364	17.636	96.142	3.858	25.57	320	0.950	bicubic
152	efficientnetv2_rw_t	82.338	17.662	96.194	3.806	13.65	288	1.000	bicubic
153	resnetv2_101x1_bitm	82.330	17.670	96.528	3.472	44.54	448	1.000	bilinear
154	crossvit_15_dagger_240	82.310	17.690	95.962	4.038	28.21	240	0.875	bicubic
155	coat_lite_small	82.302	17.698	95.860	4.140	19.84	224	0.900	bicubic
156	mixer_b16_224_miil	82.302	17.698	95.714	4.286	59.88	224	0.875	bilinear
157	resnetrs101	82.294	17.706	96.002	3.998	63.62	288	0.940	bicubic
158	convit_base	82.292	17.708	95.934	4.066	86.54	224	0.875	bicubic
159	tresnet_l_448	82.262	17.738	95.980	4.020	55.99	448	0.875	bilinear
160	efficientnet_b3	82.258	17.742	96.116	3.884	12.23	320	1.000	bicubic
161	crossvit_base_240	82.206	17.794	95.828	4.172	105.03	240	0.875	bicubic
162	cait_xxs36_384	82.190	17.810	96.160	3.840	17.37	384	1.000	bicubic
163	ecaresnet101d	82.172	17.828	96.054	3.946	44.57	224	0.875	bicubic
164	swsl_resnext50_32x4d	82.166	17.834	96.234	3.766	25.03	224	0.875	bilinear
165	visformer_small	82.096	17.904	95.878	4.122	40.22	224	0.900	bicubic
166	tresnet_xl	82.058	17.942	95.932	4.068	78.44	224	0.875	bilinear
167	resnetv2_101	82.032	17.968	95.864	4.136	44.54	224	0.950	bicubic
168	pit_s_distilled_224	81.994	18.006	95.800	4.200	24.04	224	0.900	bicubic
169	deit_base_patch16_224	81.984	18.016	95.742	4.258	86.57	224	0.900	bicubic
170	xcit_small_12_p16_224	81.976	18.024	95.818	4.182	26.25	224	1.000	bicubic
171	tf_efficientnetv2_b3	81.954	18.046	95.784	4.216	14.36	300	0.904	bicubic
172	xcit_tiny_24_p8_224	81.894	18.106	95.984	4.016	12.11	224	1.000	bicubic
173	ssl_resnext101_32x16d	81.844	18.156	96.090	3.910	194.03	224	0.875	bilinear
174	vit_small_r26_s32_224	81.838	18.162	96.026	3.974	36.43	224	0.900	bicubic
175	tf_efficientnet_b3_ap	81.822	18.178	95.620	4.380	12.23	300	0.904	bicubic
176	tresnet_m_448	81.714	18.286	95.570	4.430	31.39	448	0.875	bilinear
177	twins_svt_small	81.682	18.318	95.678	4.322	24.06	224	0.900	bicubic
178	tf_efficientnet_b3	81.646	18.354	95.720	4.280	12.23	300	0.904	bicubic
179	rexnet_200	81.626	18.374	95.672	4.328	16.37	224	0.875	bicubic
180	ssl_resnext101_32x8d	81.600	18.400	96.046	3.954	88.79	224	0.875	bilinear
181	tf_efficientnet_lite4	81.540	18.460	95.660	4.340	13.01	380	0.920	bilinear
182	crossvit_15_240	81.526	18.474	95.694	4.306	27.53	240	0.875	bicubic
183	tnt_s_patch16_224	81.514	18.486	95.744	4.256	23.76	224	0.900	bicubic
184	vit_large_patch32_384	81.506	18.494	96.086	3.914	306.63	384	1.000	bicubic
185	levit_256	81.502	18.498	95.480	4.520	18.89	224	0.900	bicubic
186	tresnet_l	81.484	18.516	95.620	4.380	55.99	224	0.875	bilinear
187	wide_resnet50_2	81.450	18.550	95.518	4.482	68.88	224	0.875	bicubic
188	jx_nest_tiny	81.434	18.566	95.620	4.380	17.06	224	0.875	bicubic
189	convit_small	81.412	18.588	95.746	4.254	27.78	224	0.875	bicubic
190	swin_tiny_patch4_window7_224	81.386	18.614	95.536	4.464	28.29	224	0.900	bicubic
191	vit_small_patch16_224	81.386	18.614	96.130	3.870	22.05	224	0.900	bicubic
192	tf_efficientnet_b1_ns	81.384	18.616	95.738	4.262	7.79	240	0.882	bicubic
193	convmixer_1536_20	81.376	18.624	95.610	4.390	51.63	224	0.960	bicubic
194	halonet50ts	81.350	18.650	95.284	4.716	22.73	256	0.940	bicubic
195	gernet_l	81.346	18.654	95.536	4.464	31.08	256	0.875	bilinear
196	legacy_senet154	81.326	18.674	95.506	4.494	115.09	224	0.875	bilinear
197	efficientnet_el	81.306	18.694	95.536	4.464	10.59	300	0.904	bicubic
198	coat_mini	81.282	18.718	95.394	4.606	10.34	224	0.900	bicubic
199	seresnext50_32x4d	81.268	18.732	95.626	4.374	27.56	224	0.875	bicubic
200	gluon_senet154	81.224	18.776	95.352	4.648	115.09	224	0.875	bicubic
201	xcit_tiny_12_p8_224_dist	81.214	18.786	95.606	4.394	6.71	224	1.000	bicubic
202	deit_small_distilled_patch16_224	81.202	18.798	95.378	4.622	22.44	224	0.900	bicubic
203	resmlp_36_distilled_224	81.154	18.846	95.496	4.504	44.69	224	0.875	bicubic
204	swsl_resnet50	81.146	18.854	95.978	4.022	25.56	224	0.875	bilinear
205	resnest50d_4s2x40d	81.120	18.880	95.560	4.440	30.42	224	0.875	bicubic
206	twins_pcpvt_small	81.104	18.896	95.642	4.358	24.11	224	0.900	bicubic
207	pit_s_224	81.100	18.900	95.334	4.666	23.46	224	0.900	bicubic
208	haloregnetz_b	81.042	18.958	95.200	4.800	11.68	224	0.940	bicubic
209	resmlp_big_24_224	81.032	18.968	95.022	4.978	129.14	224	0.875	bicubic
210	crossvit_small_240	81.030	18.970	95.466	4.534	26.86	240	0.875	bicubic
211	gluon_resnet152_v1s	81.020	18.980	95.422	4.578	60.32	224	0.875	bicubic
212	resnest50d_1s4x24d	81.000	19.000	95.326	4.674	25.68	224	0.875	bicubic
213	sehalonet33ts	80.982	19.018	95.272	4.728	13.69	256	0.940	bicubic
214	resnest50d	80.962	19.038	95.378	4.622	27.48	224	0.875	bilinear
215	cait_xxs24_384	80.954	19.046	95.638	4.362	12.03	384	1.000	bicubic
216	xcit_tiny_12_p16_384_dist	80.944	19.056	95.414	4.586	6.72	384	1.000	bicubic
217	gcresnet50t	80.938	19.062	95.440	4.560	25.90	256	0.900	bicubic
218	ssl_resnext101_32x4d	80.922	19.078	95.730	4.270	44.18	224	0.875	bilinear
219	gluon_seresnext101_32x4d	80.876	19.124	95.292	4.708	48.96	224	0.875	bicubic
220	gluon_seresnext101_64x4d	80.870	19.130	95.306	4.694	88.23	224	0.875	bicubic
221	efficientnet_b3_pruned	80.858	19.142	95.240	4.760	9.86	300	0.904	bicubic
222	ecaresnet101d_pruned	80.812	19.188	95.640	4.360	24.88	224	0.875	bicubic
223	regnety_320	80.794	19.206	95.246	4.754	145.05	224	0.875	bicubic
224	resmlp_24_distilled_224	80.760	19.240	95.220	4.780	30.02	224	0.875	bicubic
225	vit_base_patch32_224	80.732	19.268	95.566	4.434	88.22	224	0.900	bicubic
226	gernet_m	80.726	19.274	95.178	4.822	21.14	224	0.875	bilinear
227	regnetz_b	80.718	19.282	95.474	4.526	9.72	288	0.940	bicubic
228	nf_resnet50	80.656	19.344	95.336	4.664	25.56	288	0.940	bicubic
229	gluon_resnext101_64x4d	80.626	19.374	95.002	4.998	83.46	224	0.875	bicubic
230	ecaresnet50d	80.620	19.380	95.308	4.692	25.58	224	0.875	bicubic
231	efficientnet_b2	80.610	19.390	95.316	4.684	9.11	288	1.000	bicubic
232	gcresnext50ts	80.594	19.406	95.180	4.820	15.67	256	0.900	bicubic
233	resnet50d	80.538	19.462	95.160	4.840	25.58	224	0.875	bicubic
234	repvgg_b3	80.516	19.484	95.264	4.736	123.09	224	0.875	bilinear
235	vit_small_patch32_384	80.486	19.514	95.598	4.402	22.92	384	1.000	bicubic
236	gluon_resnet152_v1d	80.476	19.524	95.202	4.798	60.21	224	0.875	bicubic
237	mixnet_xl	80.468	19.532	94.932	5.068	11.90	224	0.875	bicubic
238	xcit_tiny_24_p16_224_dist	80.462	19.538	95.208	4.792	12.12	224	1.000	bicubic
239	ecaresnetlight	80.454	19.546	95.252	4.748	30.16	224	0.875	bicubic
240	inception_resnet_v2	80.448	19.552	95.308	4.692	55.84	299	0.897	bicubic
241	resnetv2_50	80.406	19.594	95.080	4.920	25.55	224	0.950	bicubic
242	gluon_resnet101_v1d	80.404	19.596	95.024	4.976	44.57	224	0.875	bicubic
243	regnety_120	80.386	19.614	95.122	4.878	51.82	224	0.875	bicubic
244	resnet50	80.382	19.618	94.594	5.406	25.56	224	0.950	bicubic
245	seresnet33ts	80.372	19.628	95.114	4.886	19.78	256	0.900	bicubic
246	resnetv2_50x1_bitm	80.344	19.656	95.686	4.314	25.55	448	1.000	bilinear
247	gluon_resnext101_32x4d	80.338	19.662	94.908	5.092	44.18	224	0.875	bicubic
248	rexnet_150	80.310	19.690	95.160	4.840	9.73	224	0.875	bicubic
249	tf_efficientnet_b2_ap	80.306	19.694	95.032	4.968	9.11	260	0.890	bicubic
250	ssl_resnext50_32x4d	80.302	19.698	95.418	4.582	25.03	224	0.875	bilinear
251	efficientnet_el_pruned	80.288	19.712	95.222	4.778	10.59	300	0.904	bicubic
252	gluon_resnet101_v1s	80.282	19.718	95.162	4.838	44.67	224	0.875	bicubic
253	regnetx_320	80.248	19.752	95.026	4.974	107.81	224	0.875	bicubic
254	seresnet50	80.248	19.752	95.070	4.930	28.09	224	0.875	bicubic
255	tf_efficientnet_el	80.248	19.752	95.124	4.876	10.59	300	0.904	bicubic
256	vit_base_patch16_sam_224	80.242	19.758	94.762	5.238	86.57	224	0.900	bicubic
257	legacy_seresnext101_32x4d	80.222	19.778	95.012	4.988	48.96	224	0.875	bilinear
258	repvgg_b3g4	80.218	19.782	95.104	4.896	83.83	224	0.875	bilinear
259	tf_efficientnetv2_b2	80.214	19.786	95.044	4.956	10.10	260	0.890	bicubic
260	dpn107	80.172	19.828	94.904	5.096	86.92	224	0.875	bicubic
261	convmixer_768_32	80.160	19.840	95.074	4.926	21.11	224	0.960	bicubic
262	inception_v4	80.144	19.856	94.972	5.028	42.68	299	0.875	bicubic
263	skresnext50_32x4d	80.142	19.858	94.644	5.356	27.48	224	0.875	bicubic
264	eca_resnet33ts	80.096	19.904	94.974	5.026	19.68	256	0.900	bicubic
265	gcresnet33ts	80.086	19.914	94.992	5.008	19.88	256	0.900	bicubic
266	tf_efficientnet_b2	80.068	19.932	94.904	5.096	9.11	260	0.890	bicubic
267	cspresnext50	80.052	19.948	94.950	5.050	20.57	224	0.875	bilinear
268	cspdarknet53	80.050	19.950	95.092	4.908	27.64	256	0.887	bilinear
269	dpn92	79.994	20.006	94.836	5.164	37.67	224	0.875	bicubic
270	ens_adv_inception_resnet_v2	79.978	20.022	94.936	5.064	55.84	299	0.897	bicubic
271	gluon_seresnext50_32x4d	79.924	20.076	94.828	5.172	27.56	224	0.875	bicubic
272	gluon_resnet152_v1c	79.912	20.088	94.852	5.148	60.21	224	0.875	bicubic
273	efficientnet_b2_pruned	79.906	20.094	94.854	5.146	8.31	260	0.890	bicubic
274	xception71	79.884	20.116	94.932	5.068	42.34	299	0.903	bicubic
275	regnety_080	79.872	20.128	94.832	5.168	39.18	224	0.875	bicubic
276	resnetrs50	79.870	20.130	94.970	5.030	35.69	224	0.910	bicubic
277	deit_small_patch16_224	79.866	20.134	95.056	4.944	22.05	224	0.900	bicubic
278	levit_192	79.860	20.140	94.802	5.198	10.95	224	0.900	bicubic
279	dpn131	79.834	20.166	94.712	5.288	79.25	224	0.875	bicubic
280	ecaresnet26t	79.834	20.166	95.084	4.916	16.01	320	0.950	bicubic
281	regnetx_160	79.834	20.166	94.824	5.176	54.28	224	0.875	bicubic
282	tf_efficientnet_lite3	79.820	20.180	94.910	5.090	8.20	300	0.904	bilinear
283	resnext50_32x4d	79.800	20.200	94.614	5.386	25.03	224	0.875	bicubic
284	resmlp_36_224	79.776	20.224	94.886	5.114	44.69	224	0.875	bicubic
285	cait_xxs36_224	79.762	20.238	94.868	5.132	17.30	224	1.000	bicubic
286	regnety_064	79.730	20.270	94.762	5.238	30.58	224	0.875	bicubic
287	xcit_tiny_12_p8_224	79.710	20.290	95.058	4.942	6.71	224	1.000	bicubic
288	ecaresnet50d_pruned	79.706	20.294	94.874	5.126	19.94	224	0.875	bicubic
289	gluon_xception65	79.702	20.298	94.868	5.132	39.92	299	0.903	bicubic
290	gluon_resnet152_v1b	79.680	20.320	94.736	5.264	60.19	224	0.875	bicubic
291	resnext50d_32x4d	79.664	20.336	94.866	5.134	25.05	224	0.875	bicubic
292	dpn98	79.654	20.346	94.604	5.396	61.57	224	0.875	bicubic
293	gmlp_s16_224	79.642	20.358	94.622	5.378	19.42	224	0.875	bicubic
294	regnetx_120	79.606	20.394	94.730	5.270	46.11	224	0.875	bicubic
295	cspresnet50	79.576	20.424	94.702	5.298	21.62	256	0.887	bilinear
296	xception65	79.546	20.454	94.660	5.340	39.92	299	0.903	bicubic
297	gluon_resnet101_v1c	79.534	20.466	94.588	5.412	44.57	224	0.875	bicubic
298	rexnet_130	79.496	20.504	94.674	5.326	7.56	224	0.875	bicubic
299	tf_efficientnetv2_b1	79.474	20.526	94.720	5.280	8.14	240	0.882	bicubic
300	hrnet_w64	79.456	20.544	94.654	5.346	128.06	224	0.875	bilinear
301	xcit_tiny_24_p16_224	79.452	20.548	94.888	5.112	12.12	224	1.000	bicubic
302	dla102x2	79.440	20.560	94.644	5.356	41.28	224	0.875	bilinear
303	resmlp_24_224	79.386	20.614	94.546	5.454	30.02	224	0.875	bicubic
304	repvgg_b2g4	79.380	20.620	94.694	5.306	61.76	224	0.875	bilinear
305	gluon_resnext50_32x4d	79.364	20.636	94.424	5.576	25.03	224	0.875	bicubic
306	tf_efficientnet_cc_b1_8e	79.326	20.674	94.368	5.632	39.72	240	0.882	bicubic
307	hrnet_w48	79.322	20.678	94.514	5.486	77.47	224	0.875	bilinear
308	resnext101_32x8d	79.312	20.688	94.522	5.478	88.79	224	0.875	bilinear
309	ese_vovnet39b	79.304	20.696	94.724	5.276	24.57	224	0.875	bicubic
310	resnetblur50	79.300	20.700	94.636	5.364	25.56	224	0.875	bicubic
311	gluon_resnet101_v1b	79.300	20.700	94.530	5.470	44.55	224	0.875	bicubic
312	nf_regnet_b1	79.296	20.704	94.742	5.258	10.22	288	0.900	bicubic
313	pit_xs_distilled_224	79.294	20.706	94.374	5.626	11.00	224	0.900	bicubic
314	tf_efficientnet_b1_ap	79.274	20.726	94.302	5.698	7.79	240	0.882	bicubic
315	efficientnet_em	79.260	20.740	94.792	5.208	6.90	240	0.882	bicubic
316	ssl_resnet50	79.236	20.764	94.832	5.168	25.56	224	0.875	bilinear
317	regnety_040	79.228	20.772	94.646	5.354	20.65	224	0.875	bicubic
318	regnetx_080	79.220	20.780	94.546	5.454	39.57	224	0.875	bicubic
319	dpn68b	79.216	20.784	94.422	5.578	12.61	224	0.875	bicubic
320	resnet33ts	79.214	20.786	94.572	5.428	19.68	256	0.900	bicubic
321	res2net101_26w_4s	79.192	20.808	94.438	5.562	45.21	224	0.875	bilinear
322	halonet26t	79.134	20.866	94.316	5.684	12.48	256	0.950	bicubic
323	lambda_resnet26t	79.108	20.892	94.588	5.412	10.96	256	0.940	bicubic
324	coat_lite_mini	79.100	20.900	94.602	5.398	11.01	224	0.900	bicubic
325	legacy_seresnext50_32x4d	79.078	20.922	94.432	5.568	27.56	224	0.875	bilinear
326	gluon_resnet50_v1d	79.064	20.936	94.460	5.540	25.58	224	0.875	bicubic
327	regnetx_064	79.060	20.940	94.466	5.534	26.21	224	0.875	bicubic
328	xception	79.048	20.952	94.396	5.604	22.86	299	0.897	bicubic
329	resnet32ts	79.020	20.980	94.362	5.638	17.96	256	0.900	bicubic
330	mixnet_l	78.980	21.020	94.180	5.820	7.33	224	0.875	bicubic
331	res2net50_26w_8s	78.980	21.020	94.284	5.716	48.40	224	0.875	bilinear
332	lambda_resnet26rpt_256	78.968	21.032	94.428	5.572	10.99	256	0.940	bicubic
333	hrnet_w40	78.926	21.074	94.478	5.522	57.56	224	0.875	bilinear
334	hrnet_w44	78.890	21.110	94.382	5.618	67.06	224	0.875	bilinear
335	wide_resnet101_2	78.854	21.146	94.284	5.716	126.89	224	0.875	bilinear
336	eca_halonext26ts	78.840	21.160	94.256	5.744	10.76	256	0.940	bicubic
337	tf_efficientnet_b1	78.836	21.164	94.194	5.806	7.79	240	0.882	bicubic
338	efficientnet_b1	78.804	21.196	94.346	5.654	7.79	256	1.000	bicubic
339	gluon_inception_v3	78.798	21.202	94.380	5.620	23.83	299	0.875	bicubic
340	repvgg_b2	78.794	21.206	94.426	5.574	89.02	224	0.875	bilinear
341	tf_mixnet_l	78.778	21.222	94.000	6.000	7.33	224	0.875	bicubic
342	dla169	78.698	21.302	94.332	5.668	53.39	224	0.875	bilinear
343	gluon_resnet50_v1s	78.696	21.304	94.248	5.752	25.68	224	0.875	bicubic
344	legacy_seresnet152	78.662	21.338	94.376	5.624	66.82	224	0.875	bilinear
345	tf_efficientnet_b0_ns	78.658	21.342	94.370	5.630	5.29	224	0.875	bicubic
346	xcit_tiny_12_p16_224_dist	78.580	21.420	94.204	5.796	6.72	224	1.000	bicubic
347	res2net50_26w_6s	78.566	21.434	94.118	5.882	37.05	224	0.875	bilinear
348	xception41	78.532	21.468	94.284	5.716	26.97	299	0.903	bicubic
349	dla102x	78.512	21.488	94.226	5.774	26.31	224	0.875	bilinear
350	regnetx_040	78.484	21.516	94.254	5.746	22.12	224	0.875	bicubic
351	resnest26d	78.478	21.522	94.296	5.704	17.07	224	0.875	bilinear
352	levit_128	78.466	21.534	94.010	5.990	9.21	224	0.900	bicubic
353	dla60_res2net	78.462	21.538	94.208	5.792	20.85	224	0.875	bilinear
354	vit_tiny_patch16_384	78.446	21.554	94.544	5.456	5.79	384	1.000	bicubic
355	dla60_res2next	78.442	21.558	94.158	5.842	17.03	224	0.875	bilinear
356	hrnet_w32	78.442	21.558	94.196	5.804	41.23	224	0.875	bilinear
357	coat_tiny	78.434	21.566	94.034	5.966	5.50	224	0.900	bicubic
358	selecsls60b	78.408	21.592	94.176	5.824	32.77	224	0.875	bicubic
359	legacy_seresnet101	78.384	21.616	94.264	5.736	49.33	224	0.875	bilinear
360	repvgg_b1	78.378	21.622	94.104	5.896	57.42	224	0.875	bilinear
361	cait_xxs24_224	78.376	21.624	94.316	5.684	11.96	224	1.000	bicubic
362	tf_efficientnetv2_b0	78.370	21.630	94.026	5.974	7.14	224	0.875	bicubic
363	tv_resnet152	78.322	21.678	94.044	5.956	60.19	224	0.875	bilinear
364	bat_resnext26ts	78.262	21.738	94.100	5.900	10.73	256	0.900	bicubic
365	efficientnet_b1_pruned	78.250	21.750	93.836	6.164	6.33	240	0.882	bicubic
366	dla60x	78.246	21.754	94.024	5.976	17.35	224	0.875	bilinear
367	res2next50	78.242	21.758	93.904	6.096	24.67	224	0.875	bilinear
368	hrnet_w30	78.202	21.798	94.228	5.772	37.71	224	0.875	bilinear
369	pit_xs_224	78.184	21.816	94.164	5.836	10.62	224	0.900	bicubic
370	regnetx_032	78.150	21.850	94.086	5.914	15.30	224	0.875	bicubic
371	tf_efficientnet_em	78.142	21.858	94.058	5.942	6.90	240	0.882	bicubic
372	res2net50_14w_8s	78.134	21.866	93.856	6.144	25.06	224	0.875	bilinear
373	hardcorenas_f	78.104	21.896	93.794	6.206	8.20	224	0.875	bilinear
374	efficientnet_es	78.082	21.918	93.944	6.056	5.44	224	0.875	bicubic
375	gmixer_24_224	78.052	21.948	93.668	6.332	24.72	224	0.875	bicubic
376	dla102	78.028	21.972	93.958	6.042	33.27	224	0.875	bilinear
377	gluon_resnet50_v1c	78.006	21.994	93.988	6.012	25.58	224	0.875	bicubic
378	res2net50_26w_4s	77.986	22.014	93.848	6.152	25.70	224	0.875	bilinear
379	selecsls60	77.984	22.016	93.832	6.168	30.67	224	0.875	bicubic
380	seresnext26t_32x4d	77.978	22.022	93.742	6.258	16.81	224	0.875	bicubic
381	resmlp_12_distilled_224	77.944	22.056	93.562	6.438	15.35	224	0.875	bicubic
382	mobilenetv3_large_100_miil	77.912	22.088	92.904	7.096	5.48	224	0.875	bilinear
383	tf_efficientnet_cc_b0_8e	77.908	22.092	93.656	6.344	24.01	224	0.875	bicubic
384	resnet26t	77.872	22.128	93.834	6.166	16.01	256	0.940	bicubic
385	regnety_016	77.864	22.136	93.724	6.276	11.20	224	0.875	bicubic
386	rexnet_100	77.860	22.140	93.876	6.124	4.80	224	0.875	bicubic
387	tf_inception_v3	77.860	22.140	93.646	6.354	23.83	299	0.875	bicubic
388	seresnext26ts	77.848	22.152	93.788	6.212	10.39	256	0.900	bicubic
389	gcresnext26ts	77.820	22.180	93.826	6.174	10.48	256	0.900	bicubic
390	xcit_nano_12_p8_384_dist	77.818	22.182	94.034	5.966	3.05	384	1.000	bicubic
391	hardcorenas_e	77.800	22.200	93.696	6.304	8.07	224	0.875	bilinear
392	efficientnet_b0	77.704	22.296	93.522	6.478	5.29	224	0.875	bicubic
393	legacy_seresnet50	77.638	22.362	93.746	6.254	28.09	224	0.875	bilinear
394	tv_resnext50_32x4d	77.610	22.390	93.684	6.316	25.03	224	0.875	bilinear
395	repvgg_b1g4	77.594	22.406	93.842	6.158	39.97	224	0.875	bilinear
396	seresnext26d_32x4d	77.586	22.414	93.604	6.396	16.81	224	0.875	bicubic
397	adv_inception_v3	77.578	22.422	93.740	6.260	23.83	299	0.875	bicubic
398	gluon_resnet50_v1b	77.576	22.424	93.722	6.278	25.56	224	0.875	bicubic
399	res2net50_48w_2s	77.534	22.466	93.558	6.442	25.29	224	0.875	bilinear
400	coat_lite_tiny	77.514	22.486	93.916	6.084	5.72	224	0.900	bicubic
401	tf_efficientnet_lite2	77.482	22.518	93.748	6.252	6.09	260	0.890	bicubic
402	inception_v3	77.464	22.536	93.476	6.524	23.83	299	0.875	bicubic
403	eca_resnext26ts	77.450	22.550	93.578	6.422	10.30	256	0.900	bicubic
404	hardcorenas_d	77.424	22.576	93.486	6.514	7.50	224	0.875	bilinear
405	tv_resnet101	77.368	22.632	93.560	6.440	44.55	224	0.875	bilinear
406	densenet161	77.352	22.648	93.636	6.364	28.68	224	0.875	bicubic
407	tf_efficientnet_cc_b0_4e	77.320	22.680	93.322	6.678	13.31	224	0.875	bicubic
408	densenet201	77.290	22.710	93.480	6.520	20.01	224	0.875	bicubic
409	mobilenetv2_120d	77.286	22.714	93.512	6.488	5.83	224	0.875	bicubic
410	mixnet_m	77.274	22.726	93.422	6.578	5.01	224	0.875	bicubic
411	selecsls42b	77.190	22.810	93.390	6.610	32.46	224	0.875	bicubic
412	xcit_tiny_12_p16_224	77.120	22.880	93.718	6.282	6.72	224	1.000	bicubic
413	resnet34d	77.114	22.886	93.382	6.618	21.82	224	0.875	bicubic
414	tf_efficientnet_b0_ap	77.104	22.896	93.264	6.736	5.29	224	0.875	bicubic
415	legacy_seresnext26_32x4d	77.094	22.906	93.310	6.690	16.79	224	0.875	bicubic
416	hardcorenas_c	77.050	22.950	93.172	6.828	5.52	224	0.875	bilinear
417	dla60	77.034	22.966	93.324	6.676	22.04	224	0.875	bilinear
418	crossvit_9_dagger_240	76.990	23.010	93.606	6.394	8.78	240	0.875	bicubic
419	tf_mixnet_m	76.958	23.042	93.166	6.834	5.01	224	0.875	bicubic
420	regnetx_016	76.946	23.054	93.426	6.574	9.19	224	0.875	bicubic
421	convmixer_1024_20_ks9_p14	76.944	23.056	93.358	6.642	24.38	224	0.960	bicubic
422	skresnet34	76.920	23.080	93.320	6.680	22.28	224	0.875	bicubic
423	gernet_s	76.906	23.094	93.134	6.866	8.17	224	0.875	bilinear
424	tf_efficientnet_b0	76.846	23.154	93.230	6.770	5.29	224	0.875	bicubic
425	ese_vovnet19b_dw	76.824	23.176	93.280	6.720	6.54	224	0.875	bicubic
426	resnext26ts	76.772	23.228	93.130	6.870	10.30	256	0.900	bicubic
427	hrnet_w18	76.758	23.242	93.438	6.562	21.30	224	0.875	bilinear
428	resnet26d	76.690	23.310	93.148	6.852	16.01	224	0.875	bicubic
429	tf_efficientnet_lite1	76.664	23.336	93.234	6.766	5.42	240	0.882	bicubic
430	resmlp_12_224	76.654	23.346	93.172	6.828	15.35	224	0.875	bicubic
431	mixer_b16_224	76.622	23.378	92.228	7.772	59.88	224	0.875	bicubic
432	densenetblur121d	76.590	23.410	93.192	6.808	8.00	224	0.875	bicubic
433	tf_efficientnet_es	76.590	23.410	93.212	6.788	5.44	224	0.875	bicubic
434	levit_128s	76.538	23.462	92.864	7.136	7.78	224	0.900	bicubic
435	hardcorenas_b	76.530	23.470	92.752	7.248	5.18	224	0.875	bilinear
436	mobilenetv2_140	76.516	23.484	93.000	7.000	6.11	224	0.875	bicubic
437	repvgg_a2	76.480	23.520	93.020	6.980	28.21	224	0.875	bilinear
438	xcit_nano_12_p8_224_dist	76.330	23.670	93.086	6.914	3.05	224	1.000	bicubic
439	regnety_008	76.320	23.680	93.068	6.932	6.26	224	0.875	bicubic
440	dpn68	76.294	23.706	92.962	7.038	12.61	224	0.875	bicubic
441	tv_resnet50	76.152	23.848	92.878	7.122	25.56	224	0.875	bilinear
442	mixnet_s	75.994	24.006	92.792	7.208	4.13	224	0.875	bicubic
443	vit_small_patch32_224	75.994	24.006	93.276	6.724	22.88	224	0.900	bicubic
444	vit_tiny_r_s16_p8_384	75.972	24.028	93.272	6.728	6.36	384	1.000	bicubic
445	hardcorenas_a	75.912	24.088	92.514	7.486	5.26	224	0.875	bilinear
446	densenet169	75.898	24.102	93.024	6.976	14.15	224	0.875	bicubic
447	mobilenetv3_large_100	75.774	24.226	92.540	7.460	5.48	224	0.875	bicubic
448	tf_mixnet_s	75.684	24.316	92.636	7.364	4.13	224	0.875	bicubic
449	mobilenetv3_rw	75.618	24.382	92.712	7.288	5.48	224	0.875	bicubic
450	densenet121	75.568	24.432	92.652	7.348	7.98	224	0.875	bicubic
451	tf_mobilenetv3_large_100	75.510	24.490	92.608	7.392	5.48	224	0.875	bilinear
452	resnest14d	75.506	24.494	92.520	7.480	10.61	224	0.875	bilinear
453	efficientnet_lite0	75.504	24.496	92.516	7.484	4.65	224	0.875	bicubic
454	xcit_nano_12_p16_384_dist	75.468	24.532	92.676	7.324	3.05	384	1.000	bicubic
455	vit_tiny_patch16_224	75.454	24.546	92.852	7.148	5.72	224	0.900	bicubic
456	semnasnet_100	75.452	24.548	92.606	7.394	3.89	224	0.875	bicubic
457	resnet26	75.292	24.708	92.574	7.426	16.00	224	0.875	bicubic
458	regnety_006	75.266	24.734	92.534	7.466	6.06	224	0.875	bicubic
459	repvgg_b0	75.152	24.848	92.414	7.586	15.82	224	0.875	bilinear
460	fbnetc_100	75.120	24.880	92.374	7.626	5.57	224	0.875	bilinear
461	resnet34	75.112	24.888	92.276	7.724	21.80	224	0.875	bilinear
462	hrnet_w18_small_v2	75.106	24.894	92.412	7.588	15.60	224	0.875	bilinear
463	regnetx_008	75.056	24.944	92.348	7.652	7.26	224	0.875	bicubic
464	mobilenetv2_110d	75.052	24.948	92.188	7.812	4.52	224	0.875	bicubic
465	efficientnet_es_pruned	74.996	25.004	92.440	7.560	5.44	224	0.875	bicubic
466	tf_efficientnet_lite0	74.832	25.168	92.176	7.824	4.65	224	0.875	bicubic
467	legacy_seresnet34	74.792	25.208	92.128	7.872	21.96	224	0.875	bilinear
468	tv_densenet121	74.746	25.254	92.154	7.846	7.98	224	0.875	bicubic
469	mnasnet_100	74.674	25.326	92.098	7.902	4.38	224	0.875	bicubic
470	dla34	74.608	25.392	92.058	7.942	15.74	224	0.875	bilinear
471	gluon_resnet34_v1b	74.592	25.408	91.996	8.004	21.80	224	0.875	bicubic
472	pit_ti_distilled_224	74.530	25.470	92.100	7.900	5.10	224	0.900	bicubic
473	deit_tiny_distilled_patch16_224	74.524	25.476	91.896	8.104	5.91	224	0.900	bicubic
474	vgg19_bn	74.234	25.766	91.854	8.146	143.68	224	0.875	bilinear
475	spnasnet_100	74.078	25.922	91.820	8.180	4.42	224	0.875	bilinear
476	regnety_004	74.012	25.988	91.766	8.234	4.34	224	0.875	bicubic
477	ghostnet_100	73.984	26.016	91.460	8.540	5.18	224	0.875	bilinear
478	crossvit_9_240	73.982	26.018	91.970	8.030	8.55	240	0.875	bicubic
479	xcit_nano_12_p8_224	73.912	26.088	92.166	7.834	3.05	224	1.000	bicubic
480	eca_botnext26ts_256	73.878	26.122	91.788	8.212	10.59	256	0.950	bicubic
481	regnetx_006	73.846	26.154	91.682	8.318	6.20	224	0.875	bicubic
482	vit_base_patch32_sam_224	73.700	26.300	91.008	8.992	88.22	224	0.900	bicubic
483	tf_mobilenetv3_large_075	73.450	26.550	91.340	8.660	3.99	224	0.875	bilinear
484	vgg16_bn	73.360	26.640	91.492	8.508	138.37	224	0.875	bilinear
485	crossvit_tiny_240	73.344	26.656	91.922	8.078	7.01	240	0.875	bicubic
486	tv_resnet34	73.304	26.696	91.422	8.578	21.80	224	0.875	bilinear
487	swsl_resnet18	73.282	26.718	91.758	8.242	11.69	224	0.875	bilinear
488	convit_tiny	73.112	26.888	91.720	8.280	5.71	224	0.875	bicubic
489	skresnet18	73.022	26.978	91.170	8.830	11.96	224	0.875	bicubic
490	mobilenetv2_100	72.952	27.048	91.002	8.998	3.50	224	0.875	bicubic
491	pit_ti_224	72.922	27.078	91.410	8.590	4.85	224	0.900	bicubic
492	ssl_resnet18	72.612	27.388	91.420	8.580	11.69	224	0.875	bilinear
493	regnetx_004	72.390	27.610	90.818	9.182	5.16	224	0.875	bicubic
494	vgg19	72.388	27.612	90.886	9.114	143.67	224	0.875	bilinear
495	hrnet_w18_small	72.332	27.668	90.686	9.314	13.19	224	0.875	bilinear
496	xcit_nano_12_p16_224_dist	72.312	27.688	90.852	9.148	3.05	224	1.000	bicubic
497	resnet18d	72.268	27.732	90.684	9.316	11.71	224	0.875	bicubic
498	tf_mobilenetv3_large_minimal_100	72.252	27.748	90.636	9.364	3.92	224	0.875	bilinear
499	deit_tiny_patch16_224	72.160	27.840	91.112	8.888	5.72	224	0.900	bicubic
500	mixer_l16_224	72.066	27.934	87.654	12.346	208.20	224	0.875	bicubic
501	vit_tiny_r_s16_p8_224	71.798	28.202	90.824	9.176	6.34	224	0.900	bicubic
502	legacy_seresnet18	71.734	28.266	90.338	9.662	11.78	224	0.875	bicubic
503	vgg16	71.584	28.416	90.390	9.610	138.36	224	0.875	bilinear
504	vgg13_bn	71.564	28.436	90.374	9.626	133.05	224	0.875	bilinear
505	gluon_resnet18_v1b	70.834	29.166	89.760	10.240	11.69	224	0.875	bicubic
506	vgg11_bn	70.362	29.638	89.806	10.194	132.87	224	0.875	bilinear
507	regnety_002	70.282	29.718	89.544	10.456	3.16	224	0.875	bicubic
508	xcit_nano_12_p16_224	69.972	30.028	89.758	10.242	3.05	224	1.000	bicubic
509	vgg13	69.938	30.062	89.258	10.742	133.05	224	0.875	bilinear
510	resnet18	69.740	30.260	89.086	10.914	11.69	224	0.875	bilinear
511	vgg11	69.048	30.952	88.636	11.364	132.86	224	0.875	bilinear
512	regnetx_002	68.750	31.250	88.560	11.440	2.68	224	0.875	bicubic
513	botnet26t_256	68.546	31.454	88.696	11.304	12.49	256	0.950	bicubic
514	tf_mobilenetv3_small_100	67.926	32.074	87.676	12.324	2.54	224	0.875	bilinear
515	dla60x_c	67.912	32.088	88.418	11.582	1.32	224	0.875	bilinear
516	dla46x_c	65.976	34.024	86.988	13.012	1.07	224	0.875	bilinear
517	tf_mobilenetv3_small_075	65.720	34.280	86.136	13.864	2.04	224	0.875	bilinear
518	dla46_c	64.870	35.130	86.294	13.706	1.30	224	0.875	bilinear
519	tf_mobilenetv3_small_minimal_100	62.908	37.092	84.246	15.754	2.04	224	0.875	bilinear