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	88.602	11.398	98.656	1.344	305.67	512	1.000	bicubic
3	beit_large_patch16_384	88.404	11.596	98.608	1.392	305.00	384	1.000	bicubic
4	tf_efficientnet_l2_ns	88.348	11.652	98.648	1.352	480.31	800	0.960	bicubic
5	tf_efficientnet_l2_ns_475	88.232	11.768	98.546	1.454	480.31	475	0.936	bicubic
6	convnext_xlarge_384_in22ft1k	87.544	12.456	98.490	1.510	350.20	384	1.000	bicubic
7	beit_large_patch16_224	87.478	12.522	98.306	1.694	304.43	224	0.900	bicubic
8	convnext_large_384_in22ft1k	87.398	12.602	98.366	1.634	197.77	384	1.000	bicubic
9	swin_large_patch4_window12_384	87.148	12.852	98.240	1.760	196.74	384	1.000	bicubic
10	vit_large_patch16_384	87.080	12.920	98.302	1.698	304.72	384	1.000	bicubic
11	convnext_xlarge_in22ft1k	87.008	12.992	98.208	1.792	350.20	224	0.875	bicubic
12	tf_efficientnet_b7_ns	86.840	13.160	98.094	1.906	66.35	600	0.949	bicubic
13	beit_base_patch16_384	86.798	13.202	98.136	1.864	86.74	384	1.000	bicubic
14	convnext_large_in22ft1k	86.626	13.374	98.032	1.968	197.77	224	0.875	bicubic
15	convnext_base_384_in22ft1k	86.566	13.434	98.198	1.802	88.59	384	1.000	bicubic
16	cait_m48_448	86.484	13.516	97.752	2.248	356.46	448	1.000	bicubic
17	tf_efficientnet_b6_ns	86.450	13.550	97.882	2.118	43.04	528	0.942	bicubic
18	swin_base_patch4_window12_384	86.432	13.568	98.056	1.944	87.90	384	1.000	bicubic
19	tf_efficientnetv2_xl_in21ft1k	86.418	13.582	97.866	2.134	208.12	512	1.000	bicubic
20	swin_large_patch4_window7_224	86.318	13.682	97.892	2.108	196.53	224	0.900	bicubic
21	tf_efficientnetv2_l_in21ft1k	86.304	13.696	97.978	2.022	118.52	480	1.000	bicubic
22	vit_large_r50_s32_384	86.182	13.818	97.918	2.082	329.09	384	1.000	bicubic
23	dm_nfnet_f6	86.144	13.856	97.730	2.270	438.36	576	0.956	bicubic
24	tf_efficientnet_b5_ns	86.090	13.910	97.750	2.250	30.39	456	0.934	bicubic
25	cait_m36_384	86.052	13.948	97.730	2.270	271.22	384	1.000	bicubic
26	vit_base_patch16_384	86.006	13.994	98.002	1.998	86.86	384	1.000	bicubic
27	xcit_large_24_p8_384_dist	86.000	14.000	97.684	2.316	188.93	384	1.000	bicubic
28	vit_large_patch16_224	85.844	14.156	97.824	2.176	304.33	224	0.900	bicubic
29	dm_nfnet_f5	85.814	14.186	97.486	2.514	377.21	544	0.954	bicubic
30	xcit_medium_24_p8_384_dist	85.814	14.186	97.592	2.408	84.32	384	1.000	bicubic
31	convnext_base_in22ft1k	85.796	14.204	97.866	2.134	88.59	224	0.875	bicubic
32	vit_base_patch8_224	85.792	14.208	97.792	2.208	86.58	224	0.900	bicubic
33	xcit_large_24_p16_384_dist	85.756	14.244	97.538	2.462	189.10	384	1.000	bicubic
34	dm_nfnet_f4	85.714	14.286	97.522	2.478	316.07	512	0.951	bicubic
35	tf_efficientnetv2_m_in21ft1k	85.592	14.408	97.746	2.254	54.14	480	1.000	bicubic
36	xcit_small_24_p8_384_dist	85.552	14.448	97.572	2.428	47.63	384	1.000	bicubic
37	dm_nfnet_f3	85.524	14.476	97.462	2.538	254.92	416	0.940	bicubic
38	tf_efficientnetv2_l	85.490	14.510	97.372	2.628	118.52	480	1.000	bicubic
39	cait_s36_384	85.462	14.538	97.480	2.520	68.37	384	1.000	bicubic
40	ig_resnext101_32x48d	85.436	14.564	97.576	2.424	828.41	224	0.875	bilinear
41	deit_base_distilled_patch16_384	85.422	14.578	97.332	2.668	87.63	384	1.000	bicubic
42	xcit_medium_24_p16_384_dist	85.420	14.580	97.406	2.594	84.40	384	1.000	bicubic
43	xcit_large_24_p8_224_dist	85.398	14.602	97.410	2.590	188.93	224	1.000	bicubic
44	tf_efficientnet_b8_ap	85.370	14.630	97.292	2.708	87.41	672	0.954	bicubic
45	tf_efficientnet_b8	85.366	14.634	97.392	2.608	87.41	672	0.954	bicubic
46	swin_base_patch4_window7_224	85.250	14.750	97.560	2.440	87.77	224	0.900	bicubic
47	beit_base_patch16_224	85.228	14.772	97.656	2.344	86.53	224	0.900	bicubic
48	tf_efficientnet_b4_ns	85.162	14.838	97.470	2.530	19.34	380	0.922	bicubic
49	tf_efficientnet_b7_ap	85.120	14.880	97.252	2.748	66.35	600	0.949	bicubic
50	ig_resnext101_32x32d	85.102	14.898	97.434	2.566	468.53	224	0.875	bilinear
51	xcit_small_24_p16_384_dist	85.094	14.906	97.310	2.690	47.67	384	1.000	bicubic
52	xcit_small_12_p8_384_dist	85.082	14.918	97.280	2.720	26.21	384	1.000	bicubic
53	xcit_medium_24_p8_224_dist	85.068	14.932	97.278	2.722	84.32	224	1.000	bicubic
54	dm_nfnet_f2	85.064	14.936	97.240	2.760	193.78	352	0.920	bicubic
55	cait_s24_384	85.048	14.952	97.348	2.652	47.06	384	1.000	bicubic
56	tf_efficientnetv2_m	85.036	14.964	97.278	2.722	54.14	480	1.000	bicubic
57	regnetz_e8	85.030	14.970	97.264	2.736	57.70	320	1.000	bicubic
58	resnetrs420	85.010	14.990	97.124	2.876	191.89	416	1.000	bicubic
59	ecaresnet269d	84.976	15.024	97.226	2.774	102.09	352	1.000	bicubic
60	vit_base_r50_s16_384	84.972	15.028	97.290	2.710	98.95	384	1.000	bicubic
61	tf_efficientnet_b7	84.934	15.066	97.206	2.794	66.35	600	0.949	bicubic
62	xcit_large_24_p16_224_dist	84.918	15.082	97.132	2.868	189.10	224	1.000	bicubic
63	resnetv2_152x4_bitm	84.916	15.084	97.442	2.558	936.53	480	1.000	bilinear
64	xcit_small_24_p8_224_dist	84.874	15.126	97.188	2.812	47.63	224	1.000	bicubic
65	efficientnetv2_rw_m	84.810	15.190	97.146	2.854	53.24	416	1.000	bicubic
66	tf_efficientnet_b6_ap	84.788	15.212	97.138	2.862	43.04	528	0.942	bicubic
67	resnetrs350	84.720	15.280	96.988	3.012	163.96	384	1.000	bicubic
68	xcit_small_12_p16_384_dist	84.706	15.294	97.118	2.882	26.25	384	1.000	bicubic
69	eca_nfnet_l2	84.696	15.304	97.264	2.736	56.72	384	1.000	bicubic
70	dm_nfnet_f1	84.624	15.376	97.098	2.902	132.63	320	0.910	bicubic
71	vit_base_patch16_224	84.526	15.474	97.298	2.702	86.57	224	0.900	bicubic
72	resnest269e	84.516	15.484	96.986	3.014	110.93	416	0.928	bicubic
73	resnetv2_152x2_bitm	84.508	15.492	97.434	2.566	236.34	448	1.000	bilinear
74	resnetv2_101x3_bitm	84.442	15.558	97.382	2.618	387.93	448	1.000	bilinear
75	resnetrs270	84.434	15.566	96.972	3.028	129.86	352	1.000	bicubic
76	vit_large_r50_s32_224	84.430	15.570	97.166	2.834	328.99	224	0.900	bicubic
77	resmlp_big_24_224_in22ft1k	84.394	15.606	97.120	2.880	129.14	224	0.875	bicubic
78	xcit_large_24_p8_224	84.392	15.608	96.658	3.342	188.93	224	1.000	bicubic
79	seresnet152d	84.358	15.642	97.042	2.958	66.84	320	1.000	bicubic
80	tf_efficientnetv2_s_in21ft1k	84.298	15.702	97.254	2.746	21.46	384	1.000	bicubic
81	convnext_large	84.296	15.704	96.894	3.106	197.77	224	0.875	bicubic
82	swsl_resnext101_32x8d	84.290	15.710	97.180	2.820	88.79	224	0.875	bilinear
83	xcit_medium_24_p16_224_dist	84.280	15.720	96.940	3.060	84.40	224	1.000	bicubic
84	vit_base_patch16_224_miil	84.270	15.730	96.802	3.198	86.54	224	0.875	bilinear
85	tf_efficientnet_b5_ap	84.256	15.744	96.978	3.022	30.39	456	0.934	bicubic
86	xcit_small_12_p8_224_dist	84.232	15.768	96.872	3.128	26.21	224	1.000	bicubic
87	crossvit_18_dagger_408	84.192	15.808	96.818	3.182	44.61	408	1.000	bicubic
88	ig_resnext101_32x16d	84.172	15.828	97.198	2.802	194.03	224	0.875	bilinear
89	pit_b_distilled_224	84.142	15.858	96.856	3.144	74.79	224	0.900	bicubic
90	tf_efficientnet_b6	84.108	15.892	96.886	3.114	43.04	528	0.942	bicubic
91	resnetrs200	84.066	15.934	96.874	3.126	93.21	320	1.000	bicubic
92	cait_xs24_384	84.062	15.938	96.888	3.112	26.67	384	1.000	bicubic
93	regnetz_d8	84.052	15.948	96.994	3.006	23.37	320	1.000	bicubic
94	tf_efficientnet_b3_ns	84.048	15.952	96.908	3.092	12.23	300	0.904	bicubic
95	vit_small_r26_s32_384	84.046	15.954	97.330	2.670	36.47	384	1.000	bicubic
96	regnetz_d32	84.022	15.978	96.866	3.134	27.58	320	0.950	bicubic
97	resnetv2_50x3_bitm	84.014	15.986	97.124	2.876	217.32	448	1.000	bilinear
98	eca_nfnet_l1	84.012	15.988	97.028	2.972	41.41	320	1.000	bicubic
99	resnet200d	83.962	16.038	96.824	3.176	64.69	320	1.000	bicubic
100	tf_efficientnetv2_s	83.886	16.114	96.696	3.304	21.46	384	1.000	bicubic
101	xcit_small_24_p16_224_dist	83.862	16.138	96.724	3.276	47.67	224	1.000	bicubic
102	resnetv2_152x2_bit_teacher_384	83.844	16.156	97.118	2.882	236.34	384	1.000	bicubic
103	xcit_small_24_p8_224	83.842	16.158	96.636	3.364	47.63	224	1.000	bicubic
104	crossvit_15_dagger_408	83.832	16.168	96.784	3.216	28.50	408	1.000	bicubic
105	resnest200e	83.830	16.170	96.894	3.106	70.20	320	0.909	bicubic
106	convnext_base	83.816	16.184	96.768	3.232	88.59	224	0.875	bicubic
107	tf_efficientnet_b5	83.812	16.188	96.748	3.252	30.39	456	0.934	bicubic
108	efficientnetv2_rw_s	83.810	16.190	96.722	3.278	23.94	384	1.000	bicubic
109	vit_small_patch16_384	83.806	16.194	97.100	2.900	22.20	384	1.000	bicubic
110	xcit_tiny_24_p8_384_dist	83.748	16.252	96.710	3.290	12.11	384	1.000	bicubic
111	xcit_medium_24_p8_224	83.736	16.264	96.394	3.606	84.32	224	1.000	bicubic
112	resnetrs152	83.712	16.288	96.614	3.386	86.62	320	1.000	bicubic
113	regnety_160	83.686	16.314	96.776	3.224	83.59	288	1.000	bicubic
114	twins_svt_large	83.680	16.320	96.594	3.406	99.27	224	0.900	bicubic
115	resnet152d	83.674	16.326	96.738	3.262	60.21	320	1.000	bicubic
116	resmlp_big_24_distilled_224	83.588	16.412	96.648	3.352	129.14	224	0.875	bicubic
117	jx_nest_base	83.554	16.446	96.364	3.636	67.72	224	0.875	bicubic
118	cait_s24_224	83.458	16.542	96.564	3.436	46.92	224	1.000	bicubic
119	efficientnet_b4	83.424	16.576	96.596	3.404	19.34	384	1.000	bicubic
120	deit_base_distilled_patch16_224	83.390	16.610	96.486	3.514	87.34	224	0.900	bicubic
121	dm_nfnet_f0	83.386	16.614	96.574	3.426	71.49	256	0.900	bicubic
122	swsl_resnext101_32x16d	83.356	16.644	96.842	3.158	194.03	224	0.875	bilinear
123	xcit_small_12_p16_224_dist	83.348	16.652	96.414	3.586	26.25	224	1.000	bicubic
124	vit_base_patch32_384	83.348	16.652	96.836	3.164	88.30	384	1.000	bicubic
125	xcit_small_12_p8_224	83.344	16.656	96.480	3.520	26.21	224	1.000	bicubic
126	tf_efficientnet_b4_ap	83.252	16.748	96.394	3.606	19.34	380	0.922	bicubic
127	swsl_resnext101_32x4d	83.236	16.764	96.764	3.236	44.18	224	0.875	bilinear
128	swin_small_patch4_window7_224	83.214	16.786	96.324	3.676	49.61	224	0.900	bicubic
129	twins_pcpvt_large	83.136	16.864	96.602	3.398	60.99	224	0.900	bicubic
130	twins_svt_base	83.136	16.864	96.420	3.580	56.07	224	0.900	bicubic
131	convnext_small	83.126	16.874	96.424	3.576	50.22	224	0.875	bicubic
132	jx_nest_small	83.120	16.880	96.328	3.672	38.35	224	0.875	bicubic
133	deit_base_patch16_384	83.106	16.894	96.370	3.630	86.86	384	1.000	bicubic
134	tresnet_m	83.072	16.928	96.118	3.882	31.39	224	0.875	bilinear
135	tresnet_xl_448	83.054	16.946	96.172	3.828	78.44	448	0.875	bilinear
136	tf_efficientnet_b4	83.024	16.976	96.300	3.700	19.34	380	0.922	bicubic
137	resnet101d	83.022	16.978	96.446	3.554	44.57	320	1.000	bicubic
138	xcit_large_24_p16_224	82.892	17.108	95.878	4.122	189.10	224	1.000	bicubic
139	resnest101e	82.888	17.112	96.320	3.680	48.28	256	0.875	bilinear
140	resnetv2_152x2_bit_teacher	82.872	17.128	96.570	3.430	236.34	224	0.875	bicubic
141	resnetv2_50x1_bit_distilled	82.828	17.172	96.526	3.474	25.55	224	0.875	bicubic
142	resnet152	82.824	17.176	96.134	3.866	60.19	224	0.950	bicubic
143	pnasnet5large	82.788	17.212	96.040	3.960	86.06	331	0.911	bicubic
144	nfnet_l0	82.752	17.248	96.518	3.482	35.07	288	1.000	bicubic
145	regnety_032	82.726	17.274	96.424	3.576	19.44	288	1.000	bicubic
146	twins_pcpvt_base	82.704	17.296	96.348	3.652	43.83	224	0.900	bicubic
147	ig_resnext101_32x8d	82.698	17.302	96.632	3.368	88.79	224	0.875	bilinear
148	xcit_medium_24_p16_224	82.638	17.362	95.976	4.024	84.40	224	1.000	bicubic
149	nasnetalarge	82.626	17.374	96.046	3.954	88.75	331	0.911	bicubic
150	levit_384	82.588	17.412	96.022	3.978	39.13	224	0.900	bicubic
151	xcit_small_24_p16_224	82.582	17.418	96.004	3.996	47.67	224	1.000	bicubic
152	eca_nfnet_l0	82.578	17.422	96.492	3.508	24.14	288	1.000	bicubic
153	xcit_tiny_24_p16_384_dist	82.570	17.430	96.284	3.716	12.12	384	1.000	bicubic
154	xcit_tiny_24_p8_224_dist	82.562	17.438	96.168	3.832	12.11	224	1.000	bicubic
155	resnet61q	82.526	17.474	96.134	3.866	36.85	288	1.000	bicubic
156	crossvit_18_dagger_240	82.520	17.480	96.072	3.928	44.27	240	0.875	bicubic
157	regnetz_c16	82.518	17.482	96.360	3.640	13.46	320	0.940	bicubic
158	gc_efficientnetv2_rw_t	82.466	17.534	96.296	3.704	13.68	288	1.000	bicubic
159	pit_b_224	82.444	17.556	95.712	4.288	73.76	224	0.900	bicubic
160	crossvit_18_240	82.400	17.600	96.054	3.946	43.27	240	0.875	bicubic
161	xcit_tiny_12_p8_384_dist	82.392	17.608	96.222	3.778	6.71	384	1.000	bicubic
162	tf_efficientnet_b2_ns	82.380	17.620	96.248	3.752	9.11	260	0.890	bicubic
163	resnet51q	82.362	17.638	96.180	3.820	35.70	288	1.000	bilinear
164	ecaresnet50t	82.348	17.652	96.138	3.862	25.57	320	0.950	bicubic
165	efficientnetv2_rw_t	82.344	17.656	96.196	3.804	13.65	288	1.000	bicubic
166	resnetv2_101x1_bitm	82.334	17.666	96.516	3.484	44.54	448	1.000	bilinear
167	crossvit_15_dagger_240	82.326	17.674	95.958	4.042	28.21	240	0.875	bicubic
168	coat_lite_small	82.310	17.690	95.848	4.152	19.84	224	0.900	bicubic
169	mixer_b16_224_miil	82.304	17.696	95.716	4.284	59.88	224	0.875	bilinear
170	convit_base	82.294	17.706	95.934	4.066	86.54	224	0.875	bicubic
171	resnetrs101	82.288	17.712	96.008	3.992	63.62	288	0.940	bicubic
172	tresnet_l_448	82.270	17.730	95.978	4.022	55.99	448	0.875	bilinear
173	efficientnet_b3	82.242	17.758	96.114	3.886	12.23	320	1.000	bicubic
174	crossvit_base_240	82.214	17.786	95.832	4.168	105.03	240	0.875	bicubic
175	cait_xxs36_384	82.192	17.808	96.146	3.854	17.37	384	1.000	bicubic
176	swsl_resnext50_32x4d	82.174	17.826	96.232	3.768	25.03	224	0.875	bilinear
177	ecaresnet101d	82.172	17.828	96.048	3.952	44.57	224	0.875	bicubic
178	visformer_small	82.106	17.894	95.874	4.126	40.22	224	0.900	bicubic
179	convnext_tiny	82.064	17.936	95.834	4.166	28.59	224	0.875	bicubic
180	halo2botnet50ts_256	82.062	17.938	95.642	4.358	22.64	256	0.950	bicubic
181	tresnet_xl	82.058	17.942	95.936	4.064	78.44	224	0.875	bilinear
182	fbnetv3_g	82.046	17.954	96.064	3.936	16.62	288	0.950	bilinear
183	resnetv2_101	82.042	17.958	95.862	4.138	44.54	224	0.950	bicubic
184	pit_s_distilled_224	81.996	18.004	95.796	4.204	24.04	224	0.900	bicubic
185	deit_base_patch16_224	81.994	18.006	95.734	4.266	86.57	224	0.900	bicubic
186	xcit_small_12_p16_224	81.976	18.024	95.818	4.182	26.25	224	1.000	bicubic
187	tf_efficientnetv2_b3	81.968	18.032	95.780	4.220	14.36	300	0.904	bicubic
188	resnet101	81.932	18.068	95.766	4.234	44.55	224	0.950	bicubic
189	xcit_tiny_24_p8_224	81.892	18.108	95.978	4.022	12.11	224	1.000	bicubic
190	vit_small_r26_s32_224	81.856	18.144	96.020	3.980	36.43	224	0.900	bicubic
191	ssl_resnext101_32x16d	81.854	18.146	96.094	3.906	194.03	224	0.875	bilinear
192	tf_efficientnet_b3_ap	81.826	18.174	95.624	4.376	12.23	300	0.904	bicubic
193	tresnet_m_448	81.704	18.296	95.574	4.426	31.39	448	0.875	bilinear
194	twins_svt_small	81.684	18.316	95.672	4.328	24.06	224	0.900	bicubic
195	halonet50ts	81.658	18.342	95.610	4.390	22.73	256	0.940	bicubic
196	tf_efficientnet_b3	81.636	18.364	95.718	4.282	12.23	300	0.904	bicubic
197	rexnet_200	81.628	18.372	95.668	4.332	16.37	224	0.875	bicubic
198	ssl_resnext101_32x8d	81.608	18.392	96.042	3.958	88.79	224	0.875	bilinear
199	lamhalobotnet50ts_256	81.550	18.450	95.502	4.498	22.57	256	0.950	bicubic
200	crossvit_15_240	81.544	18.456	95.688	4.312	27.53	240	0.875	bicubic
201	tf_efficientnet_lite4	81.536	18.464	95.668	4.332	13.01	380	0.920	bilinear
202	tnt_s_patch16_224	81.516	18.484	95.746	4.254	23.76	224	0.900	bicubic
203	vit_large_patch32_384	81.510	18.490	96.094	3.906	306.63	384	1.000	bicubic
204	levit_256	81.506	18.494	95.492	4.508	18.89	224	0.900	bicubic
205	tresnet_l	81.490	18.510	95.624	4.376	55.99	224	0.875	bilinear
206	wide_resnet50_2	81.452	18.548	95.530	4.470	68.88	224	0.875	bicubic
207	convit_small	81.424	18.576	95.742	4.258	27.78	224	0.875	bicubic
208	jx_nest_tiny	81.422	18.578	95.616	4.384	17.06	224	0.875	bicubic
209	vit_small_patch16_224	81.396	18.604	96.134	3.866	22.05	224	0.900	bicubic
210	tf_efficientnet_b1_ns	81.386	18.614	95.736	4.264	7.79	240	0.882	bicubic
211	swin_tiny_patch4_window7_224	81.374	18.626	95.542	4.458	28.29	224	0.900	bicubic
212	convmixer_1536_20	81.366	18.634	95.614	4.386	51.63	224	0.960	bicubic
213	gernet_l	81.346	18.654	95.532	4.468	31.08	256	0.875	bilinear
214	legacy_senet154	81.310	18.690	95.490	4.510	115.09	224	0.875	bilinear
215	efficientnet_el	81.306	18.694	95.526	4.474	10.59	300	0.904	bicubic
216	coat_mini	81.264	18.736	95.394	4.606	10.34	224	0.900	bicubic
217	seresnext50_32x4d	81.258	18.742	95.628	4.372	27.56	224	0.875	bicubic
218	gluon_senet154	81.232	18.768	95.348	4.652	115.09	224	0.875	bicubic
219	xcit_tiny_12_p8_224_dist	81.208	18.792	95.602	4.398	6.71	224	1.000	bicubic
220	deit_small_distilled_patch16_224	81.204	18.796	95.378	4.622	22.44	224	0.900	bicubic
221	swsl_resnet50	81.170	18.830	95.978	4.022	25.56	224	0.875	bilinear
222	resmlp_36_distilled_224	81.154	18.846	95.488	4.512	44.69	224	0.875	bicubic
223	sebotnet33ts_256	81.154	18.846	95.168	4.832	13.70	256	0.940	bicubic
224	lambda_resnet50ts	81.150	18.850	95.104	4.896	21.54	256	0.950	bicubic
225	resnest50d_4s2x40d	81.110	18.890	95.564	4.436	30.42	224	0.875	bicubic
226	resnext50_32x4d	81.104	18.896	95.326	4.674	25.03	224	0.950	bicubic
227	pit_s_224	81.098	18.902	95.330	4.670	23.46	224	0.900	bicubic
228	twins_pcpvt_small	81.088	18.912	95.640	4.360	24.11	224	0.900	bicubic
229	haloregnetz_b	81.052	18.948	95.194	4.806	11.68	224	0.940	bicubic
230	resmlp_big_24_224	81.032	18.968	95.020	4.980	129.14	224	0.875	bicubic
231	crossvit_small_240	81.022	18.978	95.458	4.542	26.86	240	0.875	bicubic
232	gluon_resnet152_v1s	81.022	18.978	95.414	4.586	60.32	224	0.875	bicubic
233	resnest50d_1s4x24d	80.986	19.014	95.320	4.680	25.68	224	0.875	bicubic
234	resnest50d	80.978	19.022	95.378	4.622	27.48	224	0.875	bilinear
235	sehalonet33ts	80.966	19.034	95.272	4.728	13.69	256	0.940	bicubic
236	cait_xxs24_384	80.964	19.036	95.646	4.354	12.03	384	1.000	bicubic
237	xcit_tiny_12_p16_384_dist	80.944	19.056	95.410	4.590	6.72	384	1.000	bicubic
238	gcresnet50t	80.938	19.062	95.452	4.548	25.90	256	0.900	bicubic
239	ssl_resnext101_32x4d	80.926	19.074	95.724	4.276	44.18	224	0.875	bilinear
240	gluon_seresnext101_32x4d	80.906	19.094	95.296	4.704	48.96	224	0.875	bicubic
241	gluon_seresnext101_64x4d	80.878	19.122	95.298	4.702	88.23	224	0.875	bicubic
242	efficientnet_b3_pruned	80.856	19.144	95.244	4.756	9.86	300	0.904	bicubic
243	ecaresnet101d_pruned	80.816	19.184	95.634	4.366	24.88	224	0.875	bicubic
244	regnety_320	80.808	19.192	95.244	4.756	145.05	224	0.875	bicubic
245	resmlp_24_distilled_224	80.764	19.236	95.224	4.776	30.02	224	0.875	bicubic
246	gernet_m	80.746	19.254	95.184	4.816	21.14	224	0.875	bilinear
247	vit_base_patch32_224	80.722	19.278	95.566	4.434	88.22	224	0.900	bicubic
248	regnetz_b16	80.716	19.284	95.478	4.522	9.72	288	0.940	bicubic
249	nf_resnet50	80.654	19.346	95.334	4.666	25.56	288	0.940	bicubic
250	efficientnet_b2	80.612	19.388	95.314	4.686	9.11	288	1.000	bicubic
251	gluon_resnext101_64x4d	80.604	19.396	94.992	5.008	83.46	224	0.875	bicubic
252	ecaresnet50d	80.602	19.398	95.320	4.680	25.58	224	0.875	bicubic
253	gcresnext50ts	80.578	19.422	95.170	4.830	15.67	256	0.900	bicubic
254	resnet50d	80.526	19.474	95.162	4.838	25.58	224	0.875	bicubic
255	repvgg_b3	80.496	19.504	95.264	4.736	123.09	224	0.875	bilinear
256	vit_small_patch32_384	80.484	19.516	95.598	4.402	22.92	384	1.000	bicubic
257	gluon_resnet152_v1d	80.476	19.524	95.208	4.792	60.21	224	0.875	bicubic
258	mixnet_xl	80.476	19.524	94.934	5.066	11.90	224	0.875	bicubic
259	ecaresnetlight	80.462	19.538	95.252	4.748	30.16	224	0.875	bicubic
260	inception_resnet_v2	80.460	19.540	95.308	4.692	55.84	299	0.897	bicubic
261	xcit_tiny_24_p16_224_dist	80.448	19.552	95.216	4.784	12.12	224	1.000	bicubic
262	resnetv2_50	80.420	19.580	95.074	4.926	25.55	224	0.950	bicubic
263	gluon_resnet101_v1d	80.416	19.584	95.016	4.984	44.57	224	0.875	bicubic
264	resnet50	80.372	19.628	94.610	5.390	25.56	224	0.950	bicubic
265	regnety_120	80.370	19.630	95.124	4.876	51.82	224	0.875	bicubic
266	seresnet33ts	80.356	19.644	95.108	4.892	19.78	256	0.900	bicubic
267	resnetv2_50x1_bitm	80.342	19.658	95.680	4.320	25.55	448	1.000	bilinear
268	gluon_resnext101_32x4d	80.340	19.660	94.926	5.074	44.18	224	0.875	bicubic
269	ssl_resnext50_32x4d	80.316	19.684	95.410	4.590	25.03	224	0.875	bilinear
270	rexnet_150	80.310	19.690	95.166	4.834	9.73	224	0.875	bicubic
271	efficientnet_el_pruned	80.302	19.698	95.218	4.782	10.59	300	0.904	bicubic
272	gluon_resnet101_v1s	80.302	19.698	95.160	4.840	44.67	224	0.875	bicubic
273	tf_efficientnet_b2_ap	80.302	19.698	95.028	4.972	9.11	260	0.890	bicubic
274	seresnet50	80.264	19.736	95.072	4.928	28.09	224	0.875	bicubic
275	tf_efficientnet_el	80.250	19.750	95.130	4.870	10.59	300	0.904	bicubic
276	vit_base_patch16_sam_224	80.242	19.758	94.756	5.244	86.57	224	0.900	bicubic
277	regnetx_320	80.240	19.760	95.022	4.978	107.81	224	0.875	bicubic
278	legacy_seresnext101_32x4d	80.228	19.772	95.014	4.986	48.96	224	0.875	bilinear
279	repvgg_b3g4	80.212	19.788	95.106	4.894	83.83	224	0.875	bilinear
280	tf_efficientnetv2_b2	80.206	19.794	95.042	4.958	10.10	260	0.890	bicubic
281	dpn107	80.172	19.828	94.906	5.094	86.92	224	0.875	bicubic
282	inception_v4	80.170	19.830	94.970	5.030	42.68	299	0.875	bicubic
283	convmixer_768_32	80.164	19.836	95.072	4.928	21.11	224	0.960	bicubic
284	skresnext50_32x4d	80.152	19.848	94.644	5.356	27.48	224	0.875	bicubic
285	eca_resnet33ts	80.084	19.916	94.970	5.030	19.68	256	0.900	bicubic
286	gcresnet33ts	80.084	19.916	95.000	5.000	19.88	256	0.900	bicubic
287	tf_efficientnet_b2	80.080	19.920	94.908	5.092	9.11	260	0.890	bicubic
288	cspdarknet53	80.062	19.938	95.084	4.916	27.64	256	0.887	bilinear
289	resnet50_gn	80.052	19.948	94.946	5.054	25.56	224	0.940	bicubic
290	cspresnext50	80.050	19.950	94.946	5.054	20.57	224	0.875	bilinear
291	dpn92	80.016	19.984	94.828	5.172	37.67	224	0.875	bicubic
292	ens_adv_inception_resnet_v2	79.980	20.020	94.938	5.062	55.84	299	0.897	bicubic
293	efficientnet_b2_pruned	79.916	20.084	94.854	5.146	8.31	260	0.890	bicubic
294	gluon_seresnext50_32x4d	79.916	20.084	94.834	5.166	27.56	224	0.875	bicubic
295	gluon_resnet152_v1c	79.912	20.088	94.848	5.152	60.21	224	0.875	bicubic
296	resnetrs50	79.890	20.110	94.966	5.034	35.69	224	0.910	bicubic
297	regnety_080	79.880	20.120	94.830	5.170	39.18	224	0.875	bicubic
298	xception71	79.872	20.128	94.922	5.078	42.34	299	0.903	bicubic
299	deit_small_patch16_224	79.866	20.134	95.046	4.954	22.05	224	0.900	bicubic
300	ecaresnet26t	79.848	20.152	95.084	4.916	16.01	320	0.950	bicubic
301	regnetx_160	79.848	20.152	94.830	5.170	54.28	224	0.875	bicubic
302	levit_192	79.832	20.168	94.786	5.214	10.95	224	0.900	bicubic
303	dpn131	79.824	20.176	94.708	5.292	79.25	224	0.875	bicubic
304	tf_efficientnet_lite3	79.818	20.182	94.914	5.086	8.20	300	0.904	bilinear
305	resmlp_36_224	79.768	20.232	94.886	5.114	44.69	224	0.875	bicubic
306	cait_xxs36_224	79.750	20.250	94.870	5.130	17.30	224	1.000	bicubic
307	regnety_064	79.720	20.280	94.764	5.236	30.58	224	0.875	bicubic
308	gluon_xception65	79.716	20.284	94.860	5.140	39.92	299	0.903	bicubic
309	ecaresnet50d_pruned	79.710	20.290	94.880	5.120	19.94	224	0.875	bicubic
310	xcit_tiny_12_p8_224	79.694	20.306	95.054	4.946	6.71	224	1.000	bicubic
311	fbnetv3_d	79.682	20.318	94.950	5.050	10.31	256	0.950	bilinear
312	gluon_resnet152_v1b	79.676	20.324	94.738	5.262	60.19	224	0.875	bicubic
313	resnext50d_32x4d	79.670	20.330	94.864	5.136	25.05	224	0.875	bicubic
314	dpn98	79.644	20.356	94.598	5.402	61.57	224	0.875	bicubic
315	gmlp_s16_224	79.642	20.358	94.624	5.376	19.42	224	0.875	bicubic
316	regnetx_120	79.592	20.408	94.734	5.266	46.11	224	0.875	bicubic
317	cspresnet50	79.580	20.420	94.704	5.296	21.62	256	0.887	bilinear
318	xception65	79.548	20.452	94.656	5.344	39.92	299	0.903	bicubic
319	gluon_resnet101_v1c	79.532	20.468	94.580	5.420	44.57	224	0.875	bicubic
320	rexnet_130	79.500	20.500	94.682	5.318	7.56	224	0.875	bicubic
321	eca_halonext26ts	79.488	20.512	94.596	5.404	10.76	256	0.940	bicubic
322	hrnet_w64	79.468	20.532	94.654	5.346	128.06	224	0.875	bilinear
323	tf_efficientnetv2_b1	79.462	20.538	94.726	5.274	8.14	240	0.882	bicubic
324	dla102x2	79.450	20.550	94.634	5.366	41.28	224	0.875	bilinear
325	xcit_tiny_24_p16_224	79.448	20.552	94.886	5.114	12.12	224	1.000	bicubic
326	resmlp_24_224	79.382	20.618	94.546	5.454	30.02	224	0.875	bicubic
327	repvgg_b2g4	79.370	20.630	94.686	5.314	61.76	224	0.875	bilinear
328	gluon_resnext50_32x4d	79.368	20.632	94.426	5.574	25.03	224	0.875	bicubic
329	resnext101_32x8d	79.316	20.684	94.518	5.482	88.79	224	0.875	bilinear
330	ese_vovnet39b	79.310	20.690	94.716	5.284	24.57	224	0.875	bicubic
331	resnetblur50	79.308	20.692	94.634	5.366	25.56	224	0.875	bicubic
332	tf_efficientnet_cc_b1_8e	79.306	20.694	94.370	5.630	39.72	240	0.882	bicubic
333	gluon_resnet101_v1b	79.304	20.696	94.522	5.478	44.55	224	0.875	bicubic
334	pit_xs_distilled_224	79.304	20.696	94.366	5.634	11.00	224	0.900	bicubic
335	hrnet_w48	79.300	20.700	94.512	5.488	77.47	224	0.875	bilinear
336	nf_regnet_b1	79.288	20.712	94.750	5.250	10.22	288	0.900	bicubic
337	tf_efficientnet_b1_ap	79.278	20.722	94.306	5.694	7.79	240	0.882	bicubic
338	eca_botnext26ts_256	79.272	20.728	94.616	5.384	10.59	256	0.950	bicubic
339	botnet26t_256	79.252	20.748	94.528	5.472	12.49	256	0.950	bicubic
340	efficientnet_em	79.250	20.750	94.796	5.204	6.90	240	0.882	bicubic
341	ssl_resnet50	79.220	20.780	94.832	5.168	25.56	224	0.875	bilinear
342	regnety_040	79.216	20.784	94.656	5.344	20.65	224	0.875	bicubic
343	dpn68b	79.214	20.786	94.414	5.586	12.61	224	0.875	bicubic
344	resnet33ts	79.212	20.788	94.572	5.428	19.68	256	0.900	bicubic
345	regnetx_080	79.200	20.800	94.552	5.448	39.57	224	0.875	bicubic
346	res2net101_26w_4s	79.198	20.802	94.438	5.562	45.21	224	0.875	bilinear
347	fbnetv3_b	79.150	20.850	94.746	5.254	8.60	256	0.950	bilinear
348	halonet26t	79.116	20.884	94.312	5.688	12.48	256	0.950	bicubic
349	lambda_resnet26t	79.096	20.904	94.588	5.412	10.96	256	0.940	bicubic
350	coat_lite_mini	79.092	20.908	94.606	5.394	11.01	224	0.900	bicubic
351	gluon_resnet50_v1d	79.076	20.924	94.470	5.530	25.58	224	0.875	bicubic
352	legacy_seresnext50_32x4d	79.070	20.930	94.432	5.568	27.56	224	0.875	bilinear
353	regnetx_064	79.066	20.934	94.458	5.542	26.21	224	0.875	bicubic
354	xception	79.048	20.952	94.392	5.608	22.86	299	0.897	bicubic
355	resnet32ts	79.014	20.986	94.356	5.644	17.96	256	0.900	bicubic
356	res2net50_26w_8s	78.976	21.024	94.294	5.706	48.40	224	0.875	bilinear
357	mixnet_l	78.976	21.024	94.178	5.822	7.33	224	0.875	bicubic
358	lambda_resnet26rpt_256	78.968	21.032	94.428	5.572	10.99	256	0.940	bicubic
359	hrnet_w40	78.916	21.084	94.474	5.526	57.56	224	0.875	bilinear
360	hrnet_w44	78.900	21.100	94.372	5.628	67.06	224	0.875	bilinear
361	wide_resnet101_2	78.852	21.148	94.288	5.712	126.89	224	0.875	bilinear
362	tf_efficientnet_b1	78.820	21.180	94.196	5.804	7.79	240	0.882	bicubic
363	gluon_inception_v3	78.806	21.194	94.372	5.628	23.83	299	0.875	bicubic
364	repvgg_b2	78.792	21.208	94.418	5.582	89.02	224	0.875	bilinear
365	efficientnet_b1	78.790	21.210	94.342	5.658	7.79	256	1.000	bicubic
366	tf_mixnet_l	78.774	21.226	93.996	6.004	7.33	224	0.875	bicubic
367	gluon_resnet50_v1s	78.708	21.292	94.240	5.760	25.68	224	0.875	bicubic
368	dla169	78.694	21.306	94.336	5.664	53.39	224	0.875	bilinear
369	tf_efficientnet_b0_ns	78.658	21.342	94.376	5.624	5.29	224	0.875	bicubic
370	legacy_seresnet152	78.656	21.344	94.368	5.632	66.82	224	0.875	bilinear
371	xcit_tiny_12_p16_224_dist	78.574	21.426	94.198	5.802	6.72	224	1.000	bicubic
372	res2net50_26w_6s	78.566	21.434	94.134	5.866	37.05	224	0.875	bilinear
373	dla102x	78.514	21.486	94.224	5.776	26.31	224	0.875	bilinear
374	xception41	78.508	21.492	94.280	5.720	26.97	299	0.903	bicubic
375	levit_128	78.486	21.514	94.006	5.994	9.21	224	0.900	bicubic
376	resnest26d	78.484	21.516	94.294	5.706	17.07	224	0.875	bilinear
377	regnetx_040	78.482	21.518	94.244	5.756	22.12	224	0.875	bicubic
378	dla60_res2net	78.462	21.538	94.206	5.794	20.85	224	0.875	bilinear
379	hrnet_w32	78.446	21.554	94.188	5.812	41.23	224	0.875	bilinear
380	dla60_res2next	78.442	21.558	94.150	5.850	17.03	224	0.875	bilinear
381	vit_tiny_patch16_384	78.432	21.568	94.542	5.458	5.79	384	1.000	bicubic
382	coat_tiny	78.428	21.572	94.038	5.962	5.50	224	0.900	bicubic
383	selecsls60b	78.412	21.588	94.170	5.830	32.77	224	0.875	bicubic
384	legacy_seresnet101	78.388	21.612	94.266	5.734	49.33	224	0.875	bilinear
385	cait_xxs24_224	78.384	21.616	94.310	5.690	11.96	224	1.000	bicubic
386	repvgg_b1	78.368	21.632	94.096	5.904	57.42	224	0.875	bilinear
387	tf_efficientnetv2_b0	78.360	21.640	94.024	5.976	7.14	224	0.875	bicubic
388	tv_resnet152	78.320	21.680	94.036	5.964	60.19	224	0.875	bilinear
389	bat_resnext26ts	78.250	21.750	94.098	5.902	10.73	256	0.900	bicubic
390	res2next50	78.250	21.750	93.886	6.114	24.67	224	0.875	bilinear
391	dla60x	78.246	21.754	94.020	5.980	17.35	224	0.875	bilinear
392	efficientnet_b1_pruned	78.240	21.760	93.832	6.168	6.33	240	0.882	bicubic
393	hrnet_w30	78.198	21.802	94.224	5.776	37.71	224	0.875	bilinear
394	pit_xs_224	78.188	21.812	94.166	5.834	10.62	224	0.900	bicubic
395	regnetx_032	78.172	21.828	94.088	5.912	15.30	224	0.875	bicubic
396	res2net50_14w_8s	78.144	21.856	93.850	6.150	25.06	224	0.875	bilinear
397	tf_efficientnet_em	78.132	21.868	94.046	5.954	6.90	240	0.882	bicubic
398	hardcorenas_f	78.098	21.902	93.804	6.196	8.20	224	0.875	bilinear
399	efficientnet_es	78.060	21.940	93.938	6.062	5.44	224	0.875	bicubic
400	gmixer_24_224	78.038	21.962	93.670	6.330	24.72	224	0.875	bicubic
401	dla102	78.028	21.972	93.950	6.050	33.27	224	0.875	bilinear
402	gluon_resnet50_v1c	78.010	21.990	93.988	6.012	25.58	224	0.875	bicubic
403	seresnext26t_32x4d	77.976	22.024	93.744	6.256	16.81	224	0.875	bicubic
404	selecsls60	77.974	22.026	93.832	6.168	30.67	224	0.875	bicubic
405	res2net50_26w_4s	77.956	22.044	93.852	6.148	25.70	224	0.875	bilinear
406	resmlp_12_distilled_224	77.942	22.058	93.558	6.442	15.35	224	0.875	bicubic
407	mobilenetv3_large_100_miil	77.918	22.082	92.906	7.094	5.48	224	0.875	bilinear
408	tf_efficientnet_cc_b0_8e	77.908	22.092	93.656	6.344	24.01	224	0.875	bicubic
409	resnet26t	77.864	22.136	93.846	6.154	16.01	256	0.940	bicubic
410	regnety_016	77.860	22.140	93.722	6.278	11.20	224	0.875	bicubic
411	rexnet_100	77.858	22.142	93.870	6.130	4.80	224	0.875	bicubic
412	tf_inception_v3	77.854	22.146	93.638	6.362	23.83	299	0.875	bicubic
413	seresnext26ts	77.852	22.148	93.790	6.210	10.39	256	0.900	bicubic
414	gcresnext26ts	77.820	22.180	93.832	6.168	10.48	256	0.900	bicubic
415	xcit_nano_12_p8_384_dist	77.818	22.182	94.044	5.956	3.05	384	1.000	bicubic
416	hardcorenas_e	77.792	22.208	93.698	6.302	8.07	224	0.875	bilinear
417	efficientnet_b0	77.694	22.306	93.534	6.466	5.29	224	0.875	bicubic
418	tinynet_a	77.652	22.348	93.538	6.462	6.19	192	0.875	bicubic
419	legacy_seresnet50	77.632	22.368	93.752	6.248	28.09	224	0.875	bilinear
420	tv_resnext50_32x4d	77.618	22.382	93.696	6.304	25.03	224	0.875	bilinear
421	seresnext26d_32x4d	77.602	22.398	93.608	6.392	16.81	224	0.875	bicubic
422	repvgg_b1g4	77.586	22.414	93.830	6.170	39.97	224	0.875	bilinear
423	adv_inception_v3	77.582	22.418	93.738	6.262	23.83	299	0.875	bicubic
424	gluon_resnet50_v1b	77.580	22.420	93.722	6.278	25.56	224	0.875	bicubic
425	res2net50_48w_2s	77.522	22.478	93.552	6.448	25.29	224	0.875	bilinear
426	coat_lite_tiny	77.510	22.490	93.912	6.088	5.72	224	0.900	bicubic
427	tf_efficientnet_lite2	77.468	22.532	93.756	6.244	6.09	260	0.890	bicubic
428	eca_resnext26ts	77.452	22.548	93.566	6.434	10.30	256	0.900	bicubic
429	inception_v3	77.438	22.562	93.476	6.524	23.83	299	0.875	bicubic
430	hardcorenas_d	77.432	22.568	93.484	6.516	7.50	224	0.875	bilinear
431	tv_resnet101	77.378	22.622	93.542	6.458	44.55	224	0.875	bilinear
432	densenet161	77.352	22.648	93.638	6.362	28.68	224	0.875	bicubic
433	tf_efficientnet_cc_b0_4e	77.304	22.696	93.334	6.666	13.31	224	0.875	bicubic
434	mobilenetv2_120d	77.296	22.704	93.496	6.504	5.83	224	0.875	bicubic
435	densenet201	77.290	22.710	93.478	6.522	20.01	224	0.875	bicubic
436	mixnet_m	77.264	22.736	93.424	6.576	5.01	224	0.875	bicubic
437	selecsls42b	77.174	22.826	93.394	6.606	32.46	224	0.875	bicubic
438	xcit_tiny_12_p16_224	77.126	22.874	93.714	6.286	6.72	224	1.000	bicubic
439	resnet34d	77.114	22.886	93.380	6.620	21.82	224	0.875	bicubic
440	legacy_seresnext26_32x4d	77.102	22.898	93.316	6.684	16.79	224	0.875	bicubic
441	tf_efficientnet_b0_ap	77.090	22.910	93.258	6.742	5.29	224	0.875	bicubic
442	hardcorenas_c	77.048	22.952	93.156	6.844	5.52	224	0.875	bilinear
443	dla60	77.036	22.964	93.318	6.682	22.04	224	0.875	bilinear
444	crossvit_9_dagger_240	76.978	23.022	93.612	6.388	8.78	240	0.875	bicubic
445	regnetx_016	76.950	23.050	93.422	6.578	9.19	224	0.875	bicubic
446	convmixer_1024_20_ks9_p14	76.942	23.058	93.356	6.644	24.38	224	0.960	bicubic
447	tf_mixnet_m	76.942	23.058	93.152	6.848	5.01	224	0.875	bicubic
448	gernet_s	76.912	23.088	93.134	6.866	8.17	224	0.875	bilinear
449	skresnet34	76.904	23.096	93.320	6.680	22.28	224	0.875	bicubic
450	tf_efficientnet_b0	76.846	23.154	93.226	6.774	5.29	224	0.875	bicubic
451	ese_vovnet19b_dw	76.800	23.200	93.272	6.728	6.54	224	0.875	bicubic
452	resnext26ts	76.780	23.220	93.128	6.872	10.30	256	0.900	bicubic
453	hrnet_w18	76.752	23.248	93.442	6.558	21.30	224	0.875	bilinear
454	resnet26d	76.700	23.300	93.146	6.854	16.01	224	0.875	bicubic
455	resmlp_12_224	76.656	23.344	93.180	6.820	15.35	224	0.875	bicubic
456	tf_efficientnet_lite1	76.636	23.364	93.222	6.778	5.42	240	0.882	bicubic
457	mixer_b16_224	76.610	23.390	92.230	7.770	59.88	224	0.875	bicubic
458	tf_efficientnet_es	76.598	23.402	93.204	6.796	5.44	224	0.875	bicubic
459	densenetblur121d	76.582	23.418	93.188	6.812	8.00	224	0.875	bicubic
460	hardcorenas_b	76.532	23.468	92.754	7.246	5.18	224	0.875	bilinear
461	levit_128s	76.520	23.480	92.866	7.134	7.78	224	0.900	bicubic
462	mobilenetv2_140	76.508	23.492	92.998	7.002	6.11	224	0.875	bicubic
463	repvgg_a2	76.460	23.540	93.006	6.994	28.21	224	0.875	bilinear
464	xcit_nano_12_p8_224_dist	76.320	23.680	93.086	6.914	3.05	224	1.000	bicubic
465	regnety_008	76.312	23.688	93.070	6.930	6.26	224	0.875	bicubic
466	dpn68	76.306	23.694	92.974	7.026	12.61	224	0.875	bicubic
467	tv_resnet50	76.138	23.862	92.862	7.138	25.56	224	0.875	bilinear
468	vit_small_patch32_224	75.998	24.002	93.272	6.728	22.88	224	0.900	bicubic
469	mixnet_s	75.992	24.008	92.798	7.202	4.13	224	0.875	bicubic
470	vit_tiny_r_s16_p8_384	75.956	24.044	93.262	6.738	6.36	384	1.000	bicubic
471	hardcorenas_a	75.922	24.078	92.516	7.484	5.26	224	0.875	bilinear
472	densenet169	75.900	24.100	93.030	6.970	14.15	224	0.875	bicubic
473	mobilenetv3_large_100	75.762	24.238	92.540	7.460	5.48	224	0.875	bicubic
474	tf_mixnet_s	75.650	24.350	92.628	7.372	4.13	224	0.875	bicubic
475	mobilenetv3_rw	75.630	24.370	92.708	7.292	5.48	224	0.875	bicubic
476	densenet121	75.582	24.418	92.652	7.348	7.98	224	0.875	bicubic
477	tf_mobilenetv3_large_100	75.518	24.482	92.604	7.396	5.48	224	0.875	bilinear
478	resnest14d	75.506	24.494	92.520	7.480	10.61	224	0.875	bilinear
479	efficientnet_lite0	75.476	24.524	92.512	7.488	4.65	224	0.875	bicubic
480	vit_tiny_patch16_224	75.456	24.544	92.846	7.154	5.72	224	0.900	bicubic
481	semnasnet_100	75.450	24.550	92.600	7.400	3.89	224	0.875	bicubic
482	xcit_nano_12_p16_384_dist	75.450	24.550	92.692	7.308	3.05	384	1.000	bicubic
483	resnet26	75.302	24.698	92.576	7.424	16.00	224	0.875	bicubic
484	regnety_006	75.246	24.754	92.534	7.466	6.06	224	0.875	bicubic
485	repvgg_b0	75.156	24.844	92.418	7.582	15.82	224	0.875	bilinear
486	fbnetc_100	75.126	24.874	92.382	7.618	5.57	224	0.875	bilinear
487	hrnet_w18_small_v2	75.118	24.882	92.416	7.584	15.60	224	0.875	bilinear
488	resnet34	75.114	24.886	92.284	7.716	21.80	224	0.875	bilinear
489	mobilenetv2_110d	75.040	24.960	92.184	7.816	4.52	224	0.875	bicubic
490	regnetx_008	75.036	24.964	92.340	7.660	7.26	224	0.875	bicubic
491	efficientnet_es_pruned	74.998	25.002	92.438	7.562	5.44	224	0.875	bicubic
492	tinynet_b	74.980	25.020	92.186	7.814	3.73	188	0.875	bicubic
493	tf_efficientnet_lite0	74.832	25.168	92.176	7.824	4.65	224	0.875	bicubic
494	legacy_seresnet34	74.810	25.190	92.126	7.874	21.96	224	0.875	bilinear
495	tv_densenet121	74.744	25.256	92.150	7.850	7.98	224	0.875	bicubic
496	mnasnet_100	74.654	25.346	92.110	7.890	4.38	224	0.875	bicubic
497	dla34	74.620	25.380	92.072	7.928	15.74	224	0.875	bilinear
498	gluon_resnet34_v1b	74.592	25.408	91.988	8.012	21.80	224	0.875	bicubic
499	pit_ti_distilled_224	74.532	25.468	92.098	7.902	5.10	224	0.900	bicubic
500	deit_tiny_distilled_patch16_224	74.512	25.488	91.888	8.112	5.91	224	0.900	bicubic
501	vgg19_bn	74.214	25.786	91.848	8.152	143.68	224	0.875	bilinear
502	spnasnet_100	74.086	25.914	91.818	8.182	4.42	224	0.875	bilinear
503	regnety_004	74.024	25.976	91.754	8.246	4.34	224	0.875	bicubic
504	ghostnet_100	73.978	26.022	91.458	8.542	5.18	224	0.875	bilinear
505	crossvit_9_240	73.970	26.030	91.964	8.036	8.55	240	0.875	bicubic
506	xcit_nano_12_p8_224	73.918	26.082	92.170	7.830	3.05	224	1.000	bicubic
507	regnetx_006	73.852	26.148	91.674	8.326	6.20	224	0.875	bicubic
508	vit_base_patch32_sam_224	73.692	26.308	91.012	8.988	88.22	224	0.900	bicubic
509	tf_mobilenetv3_large_075	73.440	26.560	91.348	8.652	3.99	224	0.875	bilinear
510	vgg16_bn	73.350	26.650	91.504	8.496	138.37	224	0.875	bilinear
511	crossvit_tiny_240	73.336	26.664	91.916	8.084	7.01	240	0.875	bicubic
512	tv_resnet34	73.308	26.692	91.424	8.576	21.80	224	0.875	bilinear
513	swsl_resnet18	73.274	26.726	91.738	8.262	11.69	224	0.875	bilinear
514	convit_tiny	73.120	26.880	91.720	8.280	5.71	224	0.875	bicubic
515	skresnet18	73.036	26.964	91.168	8.832	11.96	224	0.875	bicubic
516	semnasnet_075	72.974	27.026	91.136	8.864	2.91	224	0.875	bicubic
517	mobilenetv2_100	72.966	27.034	91.018	8.982	3.50	224	0.875	bicubic
518	pit_ti_224	72.910	27.090	91.406	8.594	4.85	224	0.900	bicubic
519	ssl_resnet18	72.606	27.394	91.424	8.576	11.69	224	0.875	bilinear
520	regnetx_004	72.390	27.610	90.830	9.170	5.16	224	0.875	bicubic
521	vgg19	72.366	27.634	90.870	9.130	143.67	224	0.875	bilinear
522	hrnet_w18_small	72.340	27.660	90.678	9.322	13.19	224	0.875	bilinear
523	xcit_nano_12_p16_224_dist	72.302	27.698	90.862	9.138	3.05	224	1.000	bicubic
524	resnet18d	72.250	27.750	90.688	9.312	11.71	224	0.875	bicubic
525	tf_mobilenetv3_large_minimal_100	72.250	27.750	90.630	9.370	3.92	224	0.875	bilinear
526	deit_tiny_patch16_224	72.166	27.834	91.120	8.880	5.72	224	0.900	bicubic
527	lcnet_100	72.108	27.892	90.378	9.622	2.95	224	0.875	bicubic
528	mixer_l16_224	72.048	27.952	87.664	12.336	208.20	224	0.875	bicubic
529	vit_tiny_r_s16_p8_224	71.788	28.212	90.822	9.178	6.34	224	0.900	bicubic
530	legacy_seresnet18	71.742	28.258	90.332	9.668	11.78	224	0.875	bicubic
531	vgg13_bn	71.594	28.406	90.376	9.624	133.05	224	0.875	bilinear
532	vgg16	71.590	28.410	90.382	9.618	138.36	224	0.875	bilinear
533	tinynet_c	71.228	28.772	89.750	10.250	2.46	184	0.875	bicubic
534	gluon_resnet18_v1b	70.838	29.162	89.762	10.238	11.69	224	0.875	bicubic
535	vgg11_bn	70.360	29.640	89.802	10.198	132.87	224	0.875	bilinear
536	regnety_002	70.254	29.746	89.540	10.460	3.16	224	0.875	bicubic
537	xcit_nano_12_p16_224	69.964	30.036	89.760	10.240	3.05	224	1.000	bicubic
538	vgg13	69.926	30.074	89.246	10.754	133.05	224	0.875	bilinear
539	resnet18	69.744	30.256	89.082	10.918	11.69	224	0.875	bilinear
540	vgg11	69.028	30.972	88.626	11.374	132.86	224	0.875	bilinear
541	lcnet_075	68.818	31.182	88.374	11.626	2.36	224	0.875	bicubic
542	regnetx_002	68.750	31.250	88.556	11.444	2.68	224	0.875	bicubic
543	tf_mobilenetv3_small_100	67.924	32.076	87.664	12.336	2.54	224	0.875	bilinear
544	dla60x_c	67.892	32.108	88.426	11.574	1.32	224	0.875	bilinear
545	tinynet_d	66.958	33.042	87.064	12.936	2.34	152	0.875	bicubic
546	dla46x_c	65.970	34.030	86.980	13.020	1.07	224	0.875	bilinear
547	mobilenetv2_050	65.942	34.058	86.082	13.918	1.97	224	0.875	bicubic
548	tf_mobilenetv3_small_075	65.714	34.286	86.134	13.866	2.04	224	0.875	bilinear
549	mnasnet_small	65.596	34.404	86.188	13.812	2.03	224	0.875	bicubic
550	dla46_c	64.866	35.134	86.294	13.706	1.30	224	0.875	bilinear
551	lcnet_050	63.100	36.900	84.382	15.618	1.88	224	0.875	bicubic
552	tf_mobilenetv3_small_minimal_100	62.908	37.092	84.234	15.766	2.04	224	0.875	bilinear
553	tinynet_e	59.856	40.144	81.766	18.234	2.04	106	0.875	bicubic