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	88.600	11.400	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	87.546	12.454	98.486	1.514	350.20	384	1.000	bicubic
7	beit_large_patch16_224	87.474	12.526	98.304	1.696	304.43	224	0.900	bicubic
8	convnext_large_384_in22ft1k	87.396	12.604	98.368	1.632	197.77	384	1.000	bicubic
9	swin_large_patch4_window12_384	87.150	12.850	98.240	1.760	196.74	384	1.000	bicubic
10	vit_large_patch16_384	87.080	12.920	98.300	1.700	304.72	384	1.000	bicubic
11	volo_d5_512	87.042	12.958	97.968	2.032	296.09	512	1.150	bicubic
12	convnext_xlarge_in22ft1k	87.002	12.998	98.212	1.788	350.20	224	0.875	bicubic
13	volo_d5_448	86.952	13.048	97.940	2.060	295.91	448	1.150	bicubic
14	tf_efficientnet_b7_ns	86.838	13.162	98.096	1.904	66.35	600	0.949	bicubic
15	beit_base_patch16_384	86.798	13.202	98.136	1.864	86.74	384	1.000	bicubic
16	volo_d4_448	86.790	13.210	97.882	2.118	193.41	448	1.150	bicubic
17	convnext_large_in22ft1k	86.636	13.364	98.028	1.972	197.77	224	0.875	bicubic
18	convnext_base_384_in22ft1k	86.544	13.456	98.190	1.810	88.59	384	1.000	bicubic
19	volo_d3_448	86.496	13.504	97.710	2.290	86.63	448	1.000	bicubic
20	cait_m48_448	86.486	13.514	97.752	2.248	356.46	448	1.000	bicubic
21	tf_efficientnet_b6_ns	86.454	13.546	97.882	2.118	43.04	528	0.942	bicubic
22	swin_base_patch4_window12_384	86.432	13.568	98.056	1.944	87.90	384	1.000	bicubic
23	tf_efficientnetv2_xl_in21ft1k	86.418	13.582	97.866	2.134	208.12	512	1.000	bicubic
24	swin_large_patch4_window7_224	86.314	13.686	97.892	2.108	196.53	224	0.900	bicubic
25	tf_efficientnetv2_l_in21ft1k	86.304	13.696	97.978	2.022	118.52	480	1.000	bicubic
26	vit_large_r50_s32_384	86.182	13.818	97.920	2.080	329.09	384	1.000	bicubic
27	dm_nfnet_f6	86.142	13.858	97.730	2.270	438.36	576	0.956	bicubic
28	tf_efficientnet_b5_ns	86.090	13.910	97.750	2.250	30.39	456	0.934	bicubic
29	volo_d5_224	86.072	13.928	97.578	2.422	295.46	224	0.960	bicubic
30	cait_m36_384	86.052	13.948	97.730	2.270	271.22	384	1.000	bicubic
31	volo_d2_384	86.040	13.960	97.572	2.428	58.87	384	1.000	bicubic
32	vit_base_patch16_384	86.010	13.990	98.002	1.998	86.86	384	1.000	bicubic
33	xcit_large_24_p8_384_dist	85.998	14.002	97.684	2.316	188.93	384	1.000	bicubic
34	volo_d4_224	85.874	14.126	97.468	2.532	192.96	224	0.960	bicubic
35	vit_large_patch16_224	85.838	14.162	97.820	2.180	304.33	224	0.900	bicubic
36	convnext_base_in22ft1k	85.824	14.176	97.866	2.134	88.59	224	0.875	bicubic
37	dm_nfnet_f5	85.816	14.184	97.486	2.514	377.21	544	0.954	bicubic
38	xcit_medium_24_p8_384_dist	85.814	14.186	97.592	2.408	84.32	384	1.000	bicubic
39	vit_base_patch8_224	85.794	14.206	97.794	2.206	86.58	224	0.900	bicubic
40	xcit_large_24_p16_384_dist	85.754	14.246	97.538	2.462	189.10	384	1.000	bicubic
41	dm_nfnet_f4	85.714	14.286	97.522	2.478	316.07	512	0.951	bicubic
42	tf_efficientnetv2_m_in21ft1k	85.590	14.410	97.744	2.256	54.14	480	1.000	bicubic
43	xcit_small_24_p8_384_dist	85.556	14.444	97.572	2.428	47.63	384	1.000	bicubic
44	dm_nfnet_f3	85.522	14.478	97.462	2.538	254.92	416	0.940	bicubic
45	tf_efficientnetv2_l	85.490	14.510	97.372	2.628	118.52	480	1.000	bicubic
46	cait_s36_384	85.462	14.538	97.480	2.520	68.37	384	1.000	bicubic
47	ig_resnext101_32x48d	85.436	14.564	97.576	2.424	828.41	224	0.875	bilinear
48	xcit_medium_24_p16_384_dist	85.422	14.578	97.406	2.594	84.40	384	1.000	bicubic
49	deit_base_distilled_patch16_384	85.422	14.578	97.332	2.668	87.63	384	1.000	bicubic
50	volo_d3_224	85.412	14.588	97.280	2.720	86.33	224	0.960	bicubic
51	xcit_large_24_p8_224_dist	85.398	14.602	97.410	2.590	188.93	224	1.000	bicubic
52	tf_efficientnet_b8_ap	85.372	14.628	97.292	2.708	87.41	672	0.954	bicubic
53	tf_efficientnet_b8	85.368	14.632	97.390	2.610	87.41	672	0.954	bicubic
54	swin_base_patch4_window7_224	85.248	14.752	97.562	2.438	87.77	224	0.900	bicubic
55	volo_d1_384	85.248	14.752	97.214	2.786	26.78	384	1.000	bicubic
56	beit_base_patch16_224	85.228	14.772	97.658	2.342	86.53	224	0.900	bicubic
57	volo_d2_224	85.194	14.806	97.188	2.812	58.68	224	0.960	bicubic
58	tf_efficientnet_b4_ns	85.162	14.838	97.470	2.530	19.34	380	0.922	bicubic
59	tf_efficientnet_b7_ap	85.120	14.880	97.252	2.748	66.35	600	0.949	bicubic
60	ig_resnext101_32x32d	85.100	14.900	97.434	2.566	468.53	224	0.875	bilinear
61	xcit_small_24_p16_384_dist	85.094	14.906	97.310	2.690	47.67	384	1.000	bicubic
62	xcit_small_12_p8_384_dist	85.080	14.920	97.280	2.720	26.21	384	1.000	bicubic
63	xcit_medium_24_p8_224_dist	85.072	14.928	97.280	2.720	84.32	224	1.000	bicubic
64	dm_nfnet_f2	85.062	14.938	97.240	2.760	193.78	352	0.920	bicubic
65	cait_s24_384	85.046	14.954	97.346	2.654	47.06	384	1.000	bicubic
66	tf_efficientnetv2_m	85.038	14.962	97.278	2.722	54.14	480	1.000	bicubic
67	regnetz_e8	85.030	14.970	97.264	2.736	57.70	320	1.000	bicubic
68	resnetrs420	85.010	14.990	97.124	2.876	191.89	416	1.000	bicubic
69	ecaresnet269d	84.976	15.024	97.226	2.774	102.09	352	1.000	bicubic
70	vit_base_r50_s16_384	84.970	15.030	97.290	2.710	98.95	384	1.000	bicubic
71	tf_efficientnet_b7	84.936	15.064	97.204	2.796	66.35	600	0.949	bicubic
72	xcit_large_24_p16_224_dist	84.922	15.078	97.132	2.868	189.10	224	1.000	bicubic
73	resnetv2_152x4_bitm	84.916	15.084	97.442	2.558	936.53	480	1.000	bilinear
74	xcit_small_24_p8_224_dist	84.876	15.124	97.188	2.812	47.63	224	1.000	bicubic
75	efficientnetv2_rw_m	84.812	15.188	97.146	2.854	53.24	416	1.000	bicubic
76	tf_efficientnet_b6_ap	84.786	15.214	97.138	2.862	43.04	528	0.942	bicubic
77	resnetrs350	84.718	15.282	96.988	3.012	163.96	384	1.000	bicubic
78	xcit_small_12_p16_384_dist	84.710	15.290	97.118	2.882	26.25	384	1.000	bicubic
79	eca_nfnet_l2	84.696	15.304	97.264	2.736	56.72	384	1.000	bicubic
80	dm_nfnet_f1	84.624	15.376	97.100	2.900	132.63	320	0.910	bicubic
81	vit_base_patch16_224	84.528	15.472	97.294	2.706	86.57	224	0.900	bicubic
82	resnest269e	84.520	15.480	96.986	3.014	110.93	416	0.928	bicubic
83	resnetv2_152x2_bitm	84.506	15.494	97.434	2.566	236.34	448	1.000	bilinear
84	regnetz_040h	84.496	15.504	97.006	2.994	28.94	320	1.000	bicubic
85	resnetv2_101x3_bitm	84.442	15.558	97.382	2.618	387.93	448	1.000	bilinear
86	resnetrs200	84.438	15.562	97.080	2.920	93.21	320	1.000	bicubic
87	resnetrs270	84.436	15.564	96.970	3.030	129.86	352	1.000	bicubic
88	vit_large_r50_s32_224	84.424	15.576	97.166	2.834	328.99	224	0.900	bicubic
89	resmlp_big_24_224_in22ft1k	84.394	15.606	97.120	2.880	129.14	224	0.875	bicubic
90	xcit_large_24_p8_224	84.394	15.606	96.656	3.344	188.93	224	1.000	bicubic
91	seresnet152d	84.360	15.640	97.040	2.960	66.84	320	1.000	bicubic
92	tf_efficientnetv2_s_in21ft1k	84.298	15.702	97.254	2.746	21.46	384	1.000	bicubic
93	convnext_large	84.292	15.708	96.894	3.106	197.77	224	0.875	bicubic
94	swsl_resnext101_32x8d	84.290	15.710	97.180	2.820	88.79	224	0.875	bilinear
95	xcit_medium_24_p16_224_dist	84.274	15.726	96.940	3.060	84.40	224	1.000	bicubic
96	vit_base_patch16_224_miil	84.272	15.728	96.802	3.198	86.54	224	0.875	bilinear
97	tf_efficientnet_b5_ap	84.256	15.744	96.976	3.024	30.39	456	0.934	bicubic
98	xcit_small_12_p8_224_dist	84.236	15.764	96.874	3.126	26.21	224	1.000	bicubic
99	regnetz_040	84.234	15.766	96.932	3.068	27.12	320	1.000	bicubic
100	seresnext101_32x8d	84.204	15.796	96.876	3.124	93.57	288	1.000	bicubic
101	crossvit_18_dagger_408	84.194	15.806	96.818	3.182	44.61	408	1.000	bicubic
102	ig_resnext101_32x16d	84.170	15.830	97.198	2.802	194.03	224	0.875	bilinear
103	volo_d1_224	84.162	15.838	96.776	3.224	26.63	224	0.960	bicubic
104	pit_b_distilled_224	84.140	15.860	96.856	3.144	74.79	224	0.900	bicubic
105	tf_efficientnet_b6	84.110	15.890	96.888	3.112	43.04	528	0.942	bicubic
106	cait_xs24_384	84.062	15.938	96.890	3.110	26.67	384	1.000	bicubic
107	regnetz_d8_evos	84.054	15.946	96.996	3.004	23.46	320	0.950	bicubic
108	regnetz_d8	84.052	15.948	96.994	3.006	23.37	320	1.000	bicubic
109	tf_efficientnet_b3_ns	84.048	15.952	96.908	3.092	12.23	300	0.904	bicubic
110	vit_small_r26_s32_384	84.042	15.958	97.328	2.672	36.47	384	1.000	bicubic
111	regnetz_d32	84.022	15.978	96.866	3.134	27.58	320	0.950	bicubic
112	resnetv2_50x3_bitm	84.014	15.986	97.124	2.876	217.32	448	1.000	bilinear
113	eca_nfnet_l1	84.012	15.988	97.028	2.972	41.41	320	1.000	bicubic
114	resnet200d	83.964	16.036	96.824	3.176	64.69	320	1.000	bicubic
115	swin_s3_base_224	83.932	16.068	96.660	3.340	71.13	224	0.900	bicubic
116	regnety_080	83.926	16.074	96.888	3.112	39.18	288	1.000	bicubic
117	tf_efficientnetv2_s	83.886	16.114	96.696	3.304	21.46	384	1.000	bicubic
118	xcit_small_24_p16_224_dist	83.868	16.132	96.724	3.276	47.67	224	1.000	bicubic
119	resnetv2_152x2_bit_teacher_384	83.844	16.156	97.118	2.882	236.34	384	1.000	bicubic
120	convnext_base	83.838	16.162	96.750	3.250	88.59	224	0.875	bicubic
121	xcit_small_24_p8_224	83.838	16.162	96.636	3.364	47.63	224	1.000	bicubic
122	crossvit_15_dagger_408	83.836	16.164	96.784	3.216	28.50	408	1.000	bicubic
123	resnest200e	83.828	16.172	96.892	3.108	70.20	320	0.909	bicubic
124	tf_efficientnet_b5	83.812	16.188	96.748	3.252	30.39	456	0.934	bicubic
125	efficientnetv2_rw_s	83.810	16.190	96.722	3.278	23.94	384	1.000	bicubic
126	vit_small_patch16_384	83.804	16.196	97.102	2.898	22.20	384	1.000	bicubic
127	swin_s3_small_224	83.768	16.232	96.452	3.548	49.74	224	0.900	bicubic
128	xcit_tiny_24_p8_384_dist	83.742	16.258	96.710	3.290	12.11	384	1.000	bicubic
129	xcit_medium_24_p8_224	83.736	16.264	96.394	3.606	84.32	224	1.000	bicubic
130	regnety_064	83.720	16.280	96.722	3.278	30.58	288	1.000	bicubic
131	resnetrs152	83.714	16.286	96.614	3.386	86.62	320	1.000	bicubic
132	regnetv_064	83.714	16.286	96.746	3.254	30.58	288	1.000	bicubic
133	regnety_160	83.690	16.310	96.776	3.224	83.59	288	1.000	bicubic
134	twins_svt_large	83.680	16.320	96.594	3.406	99.27	224	0.900	bicubic
135	resnet152d	83.678	16.322	96.738	3.262	60.21	320	1.000	bicubic
136	resmlp_big_24_distilled_224	83.588	16.412	96.648	3.352	129.14	224	0.875	bicubic
137	jx_nest_base	83.556	16.444	96.362	3.638	67.72	224	0.875	bicubic
138	cait_s24_224	83.458	16.542	96.564	3.436	46.92	224	1.000	bicubic
139	efficientnet_b4	83.424	16.576	96.596	3.404	19.34	384	1.000	bicubic
140	deit_base_distilled_patch16_224	83.392	16.608	96.486	3.514	87.34	224	0.900	bicubic
141	dm_nfnet_f0	83.386	16.614	96.574	3.426	71.49	256	0.900	bicubic
142	swsl_resnext101_32x16d	83.350	16.650	96.844	3.156	194.03	224	0.875	bilinear
143	xcit_small_12_p16_224_dist	83.350	16.650	96.414	3.586	26.25	224	1.000	bicubic
144	vit_base_patch32_384	83.348	16.652	96.834	3.166	88.30	384	1.000	bicubic
145	xcit_small_12_p8_224	83.344	16.656	96.480	3.520	26.21	224	1.000	bicubic
146	tf_efficientnet_b4_ap	83.252	16.748	96.394	3.606	19.34	380	0.922	bicubic
147	swsl_resnext101_32x4d	83.236	16.764	96.764	3.236	44.18	224	0.875	bilinear
148	swin_small_patch4_window7_224	83.216	16.784	96.324	3.676	49.61	224	0.900	bicubic
149	regnetv_040	83.200	16.800	96.662	3.338	20.64	288	1.000	bicubic
150	xception65	83.180	16.820	96.592	3.408	39.92	299	0.940	bicubic
151	convnext_small	83.150	16.850	96.432	3.568	50.22	224	0.875	bicubic
152	resnext101_64x4d	83.140	16.860	96.370	3.630	83.46	288	1.000	bicubic
153	twins_svt_base	83.138	16.862	96.420	3.580	56.07	224	0.900	bicubic
154	twins_pcpvt_large	83.134	16.866	96.604	3.396	60.99	224	0.900	bicubic
155	xception65p	83.126	16.874	96.478	3.522	39.82	299	0.940	bicubic
156	jx_nest_small	83.118	16.882	96.330	3.670	38.35	224	0.875	bicubic
157	deit_base_patch16_384	83.106	16.894	96.368	3.632	86.86	384	1.000	bicubic
158	tresnet_m	83.070	16.930	96.120	3.880	31.39	224	0.875	bilinear
159	tresnet_xl_448	83.054	16.946	96.172	3.828	78.44	448	0.875	bilinear
160	regnety_040	83.036	16.964	96.506	3.494	20.65	288	1.000	bicubic
161	tf_efficientnet_b4	83.024	16.976	96.300	3.700	19.34	380	0.922	bicubic
162	resnet101d	83.022	16.978	96.448	3.552	44.57	320	1.000	bicubic
163	xcit_large_24_p16_224	82.894	17.106	95.882	4.118	189.10	224	1.000	bicubic
164	resnest101e	82.890	17.110	96.318	3.682	48.28	256	0.875	bilinear
165	resnetv2_152x2_bit_teacher	82.872	17.128	96.570	3.430	236.34	224	0.875	bicubic
166	resnetv2_50x1_bit_distilled	82.822	17.178	96.528	3.472	25.55	224	0.875	bicubic
167	resnet152	82.820	17.180	96.130	3.870	60.19	224	0.950	bicubic
168	pnasnet5large	82.790	17.210	96.040	3.960	86.06	331	0.911	bicubic
169	nfnet_l0	82.752	17.248	96.518	3.482	35.07	288	1.000	bicubic
170	regnety_032	82.726	17.274	96.424	3.576	19.44	288	1.000	bicubic
171	twins_pcpvt_base	82.708	17.292	96.350	3.650	43.83	224	0.900	bicubic
172	ig_resnext101_32x8d	82.700	17.300	96.630	3.370	88.79	224	0.875	bilinear
173	xcit_medium_24_p16_224	82.638	17.362	95.974	4.026	84.40	224	1.000	bicubic
174	regnetz_c16_evos	82.632	17.368	96.476	3.524	13.49	320	0.950	bicubic
175	nasnetalarge	82.626	17.374	96.046	3.954	88.75	331	0.911	bicubic
176	levit_384	82.588	17.412	96.022	3.978	39.13	224	0.900	bicubic
177	xcit_small_24_p16_224	82.580	17.420	96.006	3.994	47.67	224	1.000	bicubic
178	eca_nfnet_l0	82.576	17.424	96.490	3.510	24.14	288	1.000	bicubic
179	xcit_tiny_24_p16_384_dist	82.572	17.428	96.288	3.712	12.12	384	1.000	bicubic
180	xcit_tiny_24_p8_224_dist	82.564	17.436	96.170	3.830	12.11	224	1.000	bicubic
181	resnet61q	82.526	17.474	96.134	3.866	36.85	288	1.000	bicubic
182	crossvit_18_dagger_240	82.520	17.480	96.070	3.930	44.27	240	0.875	bicubic
183	regnetz_c16	82.516	17.484	96.360	3.640	13.46	320	0.940	bicubic
184	gc_efficientnetv2_rw_t	82.466	17.534	96.296	3.704	13.68	288	1.000	bicubic
185	poolformer_m48	82.462	17.538	95.958	4.042	73.47	224	0.950	bicubic
186	pit_b_224	82.446	17.554	95.710	4.290	73.76	224	0.900	bicubic
187	crossvit_18_240	82.398	17.602	96.058	3.942	43.27	240	0.875	bicubic
188	xcit_tiny_12_p8_384_dist	82.394	17.606	96.220	3.780	6.71	384	1.000	bicubic
189	tf_efficientnet_b2_ns	82.380	17.620	96.248	3.752	9.11	260	0.890	bicubic
190	resnet51q	82.362	17.638	96.180	3.820	35.70	288	1.000	bilinear
191	ecaresnet50t	82.348	17.652	96.138	3.862	25.57	320	0.950	bicubic
192	efficientnetv2_rw_t	82.344	17.656	96.196	3.804	13.65	288	1.000	bicubic
193	resnetv2_101x1_bitm	82.336	17.664	96.516	3.484	44.54	448	1.000	bilinear
194	crossvit_15_dagger_240	82.330	17.670	95.958	4.042	28.21	240	0.875	bicubic
195	mixer_b16_224_miil	82.308	17.692	95.718	4.282	59.88	224	0.875	bilinear
196	coat_lite_small	82.304	17.696	95.848	4.152	19.84	224	0.900	bicubic
197	resnetrs101	82.288	17.712	96.010	3.990	63.62	288	0.940	bicubic
198	convit_base	82.286	17.714	95.938	4.062	86.54	224	0.875	bicubic
199	tresnet_l_448	82.268	17.732	95.982	4.018	55.99	448	0.875	bilinear
200	efficientnet_b3	82.240	17.760	96.114	3.886	12.23	320	1.000	bicubic
201	convnext_tiny_hnf	82.222	17.778	95.866	4.134	28.59	224	0.950	bicubic
202	crossvit_base_240	82.216	17.784	95.834	4.166	105.03	240	0.875	bicubic
203	cait_xxs36_384	82.194	17.806	96.144	3.856	17.37	384	1.000	bicubic
204	swsl_resnext50_32x4d	82.176	17.824	96.232	3.768	25.03	224	0.875	bilinear
205	ecaresnet101d	82.172	17.828	96.046	3.954	44.57	224	0.875	bicubic
206	swin_s3_tiny_224	82.126	17.874	95.950	4.050	28.33	224	0.900	bicubic
207	poolformer_m36	82.112	17.888	95.690	4.310	56.17	224	0.950	bicubic
208	visformer_small	82.106	17.894	95.874	4.126	40.22	224	0.900	bicubic
209	convnext_tiny	82.064	17.936	95.852	4.148	28.59	224	0.875	bicubic
210	halo2botnet50ts_256	82.060	17.940	95.642	4.358	22.64	256	0.950	bicubic
211	tresnet_xl	82.058	17.942	95.936	4.064	78.44	224	0.875	bilinear
212	fbnetv3_g	82.046	17.954	96.064	3.936	16.62	288	0.950	bilinear
213	resnetv2_101	82.042	17.958	95.864	4.136	44.54	224	0.950	bicubic
214	deit_base_patch16_224	81.996	18.004	95.732	4.268	86.57	224	0.900	bicubic
215	pit_s_distilled_224	81.994	18.006	95.798	4.202	24.04	224	0.900	bicubic
216	resnetv2_50d_evos	81.980	18.020	95.910	4.090	25.59	288	0.950	bicubic
217	xcit_small_12_p16_224	81.976	18.024	95.818	4.182	26.25	224	1.000	bicubic
218	tf_efficientnetv2_b3	81.966	18.034	95.780	4.220	14.36	300	0.904	bicubic
219	xception41p	81.960	18.040	95.794	4.206	26.91	299	0.940	bicubic
220	resnet101	81.932	18.068	95.770	4.230	44.55	224	0.950	bicubic
221	xcit_tiny_24_p8_224	81.892	18.108	95.976	4.024	12.11	224	1.000	bicubic
222	vit_small_r26_s32_224	81.856	18.144	96.020	3.980	36.43	224	0.900	bicubic
223	ssl_resnext101_32x16d	81.854	18.146	96.096	3.904	194.03	224	0.875	bilinear
224	tf_efficientnet_b3_ap	81.826	18.174	95.622	4.378	12.23	300	0.904	bicubic
225	resnetv2_50d_gn	81.818	18.182	95.922	4.078	25.57	288	0.950	bicubic
226	tresnet_m_448	81.704	18.296	95.572	4.428	31.39	448	0.875	bilinear
227	twins_svt_small	81.680	18.320	95.670	4.330	24.06	224	0.900	bicubic
228	halonet50ts	81.660	18.340	95.612	4.388	22.73	256	0.940	bicubic
229	tf_efficientnet_b3	81.636	18.364	95.718	4.282	12.23	300	0.904	bicubic
230	rexnet_200	81.630	18.370	95.668	4.332	16.37	224	0.875	bicubic
231	ssl_resnext101_32x8d	81.608	18.392	96.042	3.958	88.79	224	0.875	bilinear
232	lamhalobotnet50ts_256	81.546	18.454	95.502	4.498	22.57	256	0.950	bicubic
233	crossvit_15_240	81.542	18.458	95.690	4.310	27.53	240	0.875	bicubic
234	tf_efficientnet_lite4	81.536	18.464	95.668	4.332	13.01	380	0.920	bilinear
235	tnt_s_patch16_224	81.520	18.480	95.744	4.256	23.76	224	0.900	bicubic
236	levit_256	81.506	18.494	95.492	4.508	18.89	224	0.900	bicubic
237	vit_large_patch32_384	81.506	18.494	96.094	3.906	306.63	384	1.000	bicubic
238	tresnet_l	81.492	18.508	95.624	4.376	55.99	224	0.875	bilinear
239	wide_resnet50_2	81.452	18.548	95.530	4.470	68.88	224	0.875	bicubic
240	convit_small	81.420	18.580	95.740	4.260	27.78	224	0.875	bicubic
241	jx_nest_tiny	81.420	18.580	95.618	4.382	17.06	224	0.875	bicubic
242	poolformer_s36	81.418	18.582	95.450	4.550	30.86	224	0.900	bicubic
243	vit_small_patch16_224	81.396	18.604	96.132	3.868	22.05	224	0.900	bicubic
244	tf_efficientnet_b1_ns	81.388	18.612	95.736	4.264	7.79	240	0.882	bicubic
245	swin_tiny_patch4_window7_224	81.374	18.626	95.544	4.456	28.29	224	0.900	bicubic
246	convmixer_1536_20	81.366	18.634	95.614	4.386	51.63	224	0.960	bicubic
247	gernet_l	81.344	18.656	95.532	4.468	31.08	256	0.875	bilinear
248	efficientnet_el	81.310	18.690	95.530	4.470	10.59	300	0.904	bicubic
249	legacy_senet154	81.310	18.690	95.496	4.504	115.09	224	0.875	bilinear
250	coat_mini	81.266	18.734	95.394	4.606	10.34	224	0.900	bicubic
251	seresnext50_32x4d	81.258	18.742	95.630	4.370	27.56	224	0.875	bicubic
252	gluon_senet154	81.232	18.768	95.348	4.652	115.09	224	0.875	bicubic
253	deit_small_distilled_patch16_224	81.208	18.792	95.374	4.626	22.44	224	0.900	bicubic
254	xcit_tiny_12_p8_224_dist	81.208	18.792	95.600	4.400	6.71	224	1.000	bicubic
255	swsl_resnet50	81.174	18.826	95.978	4.022	25.56	224	0.875	bilinear
256	sebotnet33ts_256	81.156	18.844	95.170	4.830	13.70	256	0.940	bicubic
257	resmlp_36_distilled_224	81.154	18.846	95.488	4.512	44.69	224	0.875	bicubic
258	lambda_resnet50ts	81.146	18.854	95.102	4.898	21.54	256	0.950	bicubic
259	resnest50d_4s2x40d	81.110	18.890	95.564	4.436	30.42	224	0.875	bicubic
260	resnext50_32x4d	81.108	18.892	95.326	4.674	25.03	224	0.950	bicubic
261	pit_s_224	81.100	18.900	95.330	4.670	23.46	224	0.900	bicubic
262	twins_pcpvt_small	81.090	18.910	95.640	4.360	24.11	224	0.900	bicubic
263	haloregnetz_b	81.050	18.950	95.196	4.804	11.68	224	0.940	bicubic
264	resmlp_big_24_224	81.032	18.968	95.020	4.980	129.14	224	0.875	bicubic
265	crossvit_small_240	81.018	18.982	95.456	4.544	26.86	240	0.875	bicubic
266	gluon_resnet152_v1s	81.016	18.984	95.412	4.588	60.32	224	0.875	bicubic
267	resnest50d_1s4x24d	80.990	19.010	95.324	4.676	25.68	224	0.875	bicubic
268	resnest50d	80.982	19.018	95.380	4.620	27.48	224	0.875	bilinear
269	cait_xxs24_384	80.966	19.034	95.646	4.354	12.03	384	1.000	bicubic
270	sehalonet33ts	80.964	19.036	95.272	4.728	13.69	256	0.940	bicubic
271	xcit_tiny_12_p16_384_dist	80.944	19.056	95.412	4.588	6.72	384	1.000	bicubic
272	gcresnet50t	80.942	19.058	95.454	4.546	25.90	256	0.900	bicubic
273	ssl_resnext101_32x4d	80.924	19.076	95.726	4.274	44.18	224	0.875	bilinear
274	gluon_seresnext101_32x4d	80.906	19.094	95.294	4.706	48.96	224	0.875	bicubic
275	gluon_seresnext101_64x4d	80.878	19.122	95.298	4.702	88.23	224	0.875	bicubic
276	efficientnet_b3_pruned	80.858	19.142	95.244	4.756	9.86	300	0.904	bicubic
277	ecaresnet101d_pruned	80.814	19.186	95.630	4.370	24.88	224	0.875	bicubic
278	regnety_320	80.810	19.190	95.244	4.756	145.05	224	0.875	bicubic
279	resmlp_24_distilled_224	80.764	19.236	95.224	4.776	30.02	224	0.875	bicubic
280	gernet_m	80.744	19.256	95.184	4.816	21.14	224	0.875	bilinear
281	vit_base_patch32_224	80.722	19.278	95.566	4.434	88.22	224	0.900	bicubic
282	regnetz_b16	80.714	19.286	95.478	4.522	9.72	288	0.940	bicubic
283	nf_resnet50	80.654	19.346	95.334	4.666	25.56	288	0.940	bicubic
284	efficientnet_b2	80.614	19.386	95.316	4.684	9.11	288	1.000	bicubic
285	gluon_resnext101_64x4d	80.604	19.396	94.992	5.008	83.46	224	0.875	bicubic
286	ecaresnet50d	80.600	19.400	95.320	4.680	25.58	224	0.875	bicubic
287	gcresnext50ts	80.578	19.422	95.170	4.830	15.67	256	0.900	bicubic
288	resnet50d	80.522	19.478	95.162	4.838	25.58	224	0.875	bicubic
289	repvgg_b3	80.496	19.504	95.264	4.736	123.09	224	0.875	bilinear
290	vit_small_patch32_384	80.484	19.516	95.600	4.400	22.92	384	1.000	bicubic
291	gluon_resnet152_v1d	80.476	19.524	95.204	4.796	60.21	224	0.875	bicubic
292	mixnet_xl	80.474	19.526	94.934	5.066	11.90	224	0.875	bicubic
293	inception_resnet_v2	80.460	19.540	95.308	4.692	55.84	299	0.897	bicubic
294	ecaresnetlight	80.452	19.548	95.250	4.750	30.16	224	0.875	bicubic
295	xcit_tiny_24_p16_224_dist	80.446	19.554	95.216	4.784	12.12	224	1.000	bicubic
296	resnetv2_50	80.420	19.580	95.074	4.926	25.55	224	0.950	bicubic
297	gluon_resnet101_v1d	80.420	19.580	95.016	4.984	44.57	224	0.875	bicubic
298	resnet50	80.376	19.624	94.616	5.384	25.56	224	0.950	bicubic
299	regnety_120	80.376	19.624	95.126	4.874	51.82	224	0.875	bicubic
300	seresnet33ts	80.350	19.650	95.106	4.894	19.78	256	0.900	bicubic
301	gluon_resnext101_32x4d	80.344	19.656	94.926	5.074	44.18	224	0.875	bicubic
302	resnetv2_50x1_bitm	80.342	19.658	95.680	4.320	25.55	448	1.000	bilinear
303	ssl_resnext50_32x4d	80.316	19.684	95.410	4.590	25.03	224	0.875	bilinear
304	poolformer_s24	80.314	19.686	95.046	4.954	21.39	224	0.900	bicubic
305	rexnet_150	80.310	19.690	95.166	4.834	9.73	224	0.875	bicubic
306	tf_efficientnet_b2_ap	80.302	19.698	95.028	4.972	9.11	260	0.890	bicubic
307	efficientnet_el_pruned	80.302	19.698	95.216	4.784	10.59	300	0.904	bicubic
308	gluon_resnet101_v1s	80.298	19.702	95.164	4.836	44.67	224	0.875	bicubic
309	seresnet50	80.264	19.736	95.072	4.928	28.09	224	0.875	bicubic
310	tf_efficientnet_el	80.250	19.750	95.122	4.878	10.59	300	0.904	bicubic
311	vit_base_patch16_224_sam	80.242	19.758	94.754	5.246	86.57	224	0.900	bicubic
312	regnetx_320	80.240	19.760	95.022	4.978	107.81	224	0.875	bicubic
313	legacy_seresnext101_32x4d	80.224	19.776	95.010	4.990	48.96	224	0.875	bilinear
314	repvgg_b3g4	80.212	19.788	95.106	4.894	83.83	224	0.875	bilinear
315	tf_efficientnetv2_b2	80.206	19.794	95.042	4.958	10.10	260	0.890	bicubic
316	dpn107	80.172	19.828	94.906	5.094	86.92	224	0.875	bicubic
317	convmixer_768_32	80.164	19.836	95.072	4.928	21.11	224	0.960	bicubic
318	inception_v4	80.162	19.838	94.966	5.034	42.68	299	0.875	bicubic
319	skresnext50_32x4d	80.152	19.848	94.644	5.356	27.48	224	0.875	bicubic
320	eca_resnet33ts	80.080	19.920	94.970	5.030	19.68	256	0.900	bicubic
321	gcresnet33ts	80.080	19.920	95.000	5.000	19.88	256	0.900	bicubic
322	tf_efficientnet_b2	80.080	19.920	94.908	5.092	9.11	260	0.890	bicubic
323	cspdarknet53	80.062	19.938	95.084	4.916	27.64	256	0.887	bilinear
324	resnet50_gn	80.054	19.946	94.948	5.052	25.56	224	0.940	bicubic
325	cspresnext50	80.050	19.950	94.946	5.054	20.57	224	0.875	bilinear
326	dpn92	80.016	19.984	94.824	5.176	37.67	224	0.875	bicubic
327	ens_adv_inception_resnet_v2	79.978	20.022	94.938	5.062	55.84	299	0.897	bicubic
328	efficientnet_b2_pruned	79.916	20.084	94.854	5.146	8.31	260	0.890	bicubic
329	gluon_seresnext50_32x4d	79.914	20.086	94.832	5.168	27.56	224	0.875	bicubic
330	gluon_resnet152_v1c	79.908	20.092	94.848	5.152	60.21	224	0.875	bicubic
331	resnetrs50	79.886	20.114	94.966	5.034	35.69	224	0.910	bicubic
332	xception71	79.876	20.124	94.922	5.078	42.34	299	0.903	bicubic
333	deit_small_patch16_224	79.860	20.140	95.046	4.954	22.05	224	0.900	bicubic
334	regnetx_160	79.850	20.150	94.830	5.170	54.28	224	0.875	bicubic
335	ecaresnet26t	79.848	20.152	95.086	4.914	16.01	320	0.950	bicubic
336	levit_192	79.832	20.168	94.786	5.214	10.95	224	0.900	bicubic
337	dpn131	79.824	20.176	94.708	5.292	79.25	224	0.875	bicubic
338	tf_efficientnet_lite3	79.820	20.180	94.912	5.088	8.20	300	0.904	bilinear
339	resmlp_36_224	79.768	20.232	94.886	5.114	44.69	224	0.875	bicubic
340	cait_xxs36_224	79.748	20.252	94.866	5.134	17.30	224	1.000	bicubic
341	gluon_xception65	79.716	20.284	94.860	5.140	39.92	299	0.903	bicubic
342	ecaresnet50d_pruned	79.708	20.292	94.880	5.120	19.94	224	0.875	bicubic
343	xcit_tiny_12_p8_224	79.690	20.310	95.054	4.946	6.71	224	1.000	bicubic
344	fbnetv3_d	79.682	20.318	94.948	5.052	10.31	256	0.950	bilinear
345	gluon_resnet152_v1b	79.680	20.320	94.738	5.262	60.19	224	0.875	bicubic
346	resnext50d_32x4d	79.670	20.330	94.864	5.136	25.05	224	0.875	bicubic
347	dpn98	79.646	20.354	94.596	5.404	61.57	224	0.875	bicubic
348	gmlp_s16_224	79.640	20.360	94.624	5.376	19.42	224	0.875	bicubic
349	regnetx_120	79.592	20.408	94.734	5.266	46.11	224	0.875	bicubic
350	cspresnet50	79.582	20.418	94.704	5.296	21.62	256	0.887	bilinear
351	gluon_resnet101_v1c	79.534	20.466	94.580	5.420	44.57	224	0.875	bicubic
352	rexnet_130	79.500	20.500	94.684	5.316	7.56	224	0.875	bicubic
353	eca_halonext26ts	79.490	20.510	94.598	5.402	10.76	256	0.940	bicubic
354	hrnet_w64	79.472	20.528	94.652	5.348	128.06	224	0.875	bilinear
355	tf_efficientnetv2_b1	79.464	20.536	94.724	5.276	8.14	240	0.882	bicubic
356	dla102x2	79.446	20.554	94.632	5.368	41.28	224	0.875	bilinear
357	xcit_tiny_24_p16_224	79.444	20.556	94.884	5.116	12.12	224	1.000	bicubic
358	resmlp_24_224	79.382	20.618	94.546	5.454	30.02	224	0.875	bicubic
359	repvgg_b2g4	79.370	20.630	94.688	5.312	61.76	224	0.875	bilinear
360	gluon_resnext50_32x4d	79.364	20.636	94.426	5.574	25.03	224	0.875	bicubic
361	resnext101_32x8d	79.316	20.684	94.518	5.482	88.79	224	0.875	bilinear
362	ese_vovnet39b	79.312	20.688	94.714	5.286	24.57	224	0.875	bicubic
363	pit_xs_distilled_224	79.306	20.694	94.364	5.636	11.00	224	0.900	bicubic
364	tf_efficientnet_cc_b1_8e	79.306	20.694	94.372	5.628	39.72	240	0.882	bicubic
365	resnetblur50	79.304	20.696	94.634	5.366	25.56	224	0.875	bicubic
366	gluon_resnet101_v1b	79.302	20.698	94.520	5.480	44.55	224	0.875	bicubic
367	hrnet_w48	79.302	20.698	94.512	5.488	77.47	224	0.875	bilinear
368	nf_regnet_b1	79.288	20.712	94.748	5.252	10.22	288	0.900	bicubic
369	tf_efficientnet_b1_ap	79.280	20.720	94.304	5.696	7.79	240	0.882	bicubic
370	eca_botnext26ts_256	79.274	20.726	94.616	5.384	10.59	256	0.950	bicubic
371	botnet26t_256	79.252	20.748	94.528	5.472	12.49	256	0.950	bicubic
372	efficientnet_em	79.250	20.750	94.794	5.206	6.90	240	0.882	bicubic
373	ssl_resnet50	79.226	20.774	94.836	5.164	25.56	224	0.875	bilinear
374	dpn68b	79.220	20.780	94.418	5.582	12.61	224	0.875	bicubic
375	resnet33ts	79.210	20.790	94.572	5.428	19.68	256	0.900	bicubic
376	regnetx_080	79.202	20.798	94.554	5.446	39.57	224	0.875	bicubic
377	res2net101_26w_4s	79.196	20.804	94.436	5.564	45.21	224	0.875	bilinear
378	fbnetv3_b	79.148	20.852	94.746	5.254	8.60	256	0.950	bilinear
379	halonet26t	79.116	20.884	94.310	5.690	12.48	256	0.950	bicubic
380	lambda_resnet26t	79.098	20.902	94.588	5.412	10.96	256	0.940	bicubic
381	coat_lite_mini	79.096	20.904	94.604	5.396	11.01	224	0.900	bicubic
382	gluon_resnet50_v1d	79.076	20.924	94.472	5.528	25.58	224	0.875	bicubic
383	legacy_seresnext50_32x4d	79.068	20.932	94.434	5.566	27.56	224	0.875	bilinear
384	regnetx_064	79.066	20.934	94.458	5.542	26.21	224	0.875	bicubic
385	xception	79.050	20.950	94.392	5.608	22.86	299	0.897	bicubic
386	resnet32ts	79.012	20.988	94.358	5.642	17.96	256	0.900	bicubic
387	res2net50_26w_8s	78.980	21.020	94.294	5.706	48.40	224	0.875	bilinear
388	mixnet_l	78.976	21.024	94.178	5.822	7.33	224	0.875	bicubic
389	lambda_resnet26rpt_256	78.968	21.032	94.428	5.572	10.99	256	0.940	bicubic
390	hrnet_w40	78.916	21.084	94.474	5.526	57.56	224	0.875	bilinear
391	hrnet_w44	78.900	21.100	94.374	5.626	67.06	224	0.875	bilinear
392	wide_resnet101_2	78.854	21.146	94.290	5.710	126.89	224	0.875	bilinear
393	tf_efficientnet_b1	78.828	21.172	94.198	5.802	7.79	240	0.882	bicubic
394	gluon_inception_v3	78.804	21.196	94.370	5.630	23.83	299	0.875	bicubic
395	efficientnet_b1	78.796	21.204	94.342	5.658	7.79	256	1.000	bicubic
396	repvgg_b2	78.792	21.208	94.418	5.582	89.02	224	0.875	bilinear
397	tf_mixnet_l	78.774	21.226	93.996	6.004	7.33	224	0.875	bicubic
398	gluon_resnet50_v1s	78.712	21.288	94.240	5.760	25.68	224	0.875	bicubic
399	dla169	78.692	21.308	94.340	5.660	53.39	224	0.875	bilinear
400	tf_efficientnet_b0_ns	78.658	21.342	94.378	5.622	5.29	224	0.875	bicubic
401	legacy_seresnet152	78.652	21.348	94.370	5.630	66.82	224	0.875	bilinear
402	xcit_tiny_12_p16_224_dist	78.576	21.424	94.196	5.804	6.72	224	1.000	bicubic
403	res2net50_26w_6s	78.566	21.434	94.134	5.866	37.05	224	0.875	bilinear
404	dla102x	78.516	21.484	94.226	5.774	26.31	224	0.875	bilinear
405	xception41	78.510	21.490	94.278	5.722	26.97	299	0.903	bicubic
406	levit_128	78.492	21.508	94.006	5.994	9.21	224	0.900	bicubic
407	regnetx_040	78.482	21.518	94.244	5.756	22.12	224	0.875	bicubic
408	resnest26d	78.476	21.524	94.292	5.708	17.07	224	0.875	bilinear
409	dla60_res2net	78.462	21.538	94.206	5.794	20.85	224	0.875	bilinear
410	hrnet_w32	78.448	21.552	94.194	5.806	41.23	224	0.875	bilinear
411	dla60_res2next	78.440	21.560	94.150	5.850	17.03	224	0.875	bilinear
412	vit_tiny_patch16_384	78.434	21.566	94.542	5.458	5.79	384	1.000	bicubic
413	coat_tiny	78.430	21.570	94.040	5.960	5.50	224	0.900	bicubic
414	selecsls60b	78.412	21.588	94.174	5.826	32.77	224	0.875	bicubic
415	legacy_seresnet101	78.388	21.612	94.264	5.736	49.33	224	0.875	bilinear
416	cait_xxs24_224	78.384	21.616	94.310	5.690	11.96	224	1.000	bicubic
417	repvgg_b1	78.368	21.632	94.096	5.904	57.42	224	0.875	bilinear
418	tf_efficientnetv2_b0	78.360	21.640	94.020	5.980	7.14	224	0.875	bicubic
419	tv_resnet152	78.316	21.684	94.034	5.966	60.19	224	0.875	bilinear
420	mobilevit_s	78.312	21.688	94.152	5.848	5.58	256	0.900	bicubic
421	res2next50	78.252	21.748	93.886	6.114	24.67	224	0.875	bilinear
422	bat_resnext26ts	78.250	21.750	94.098	5.902	10.73	256	0.900	bicubic
423	dla60x	78.244	21.756	94.018	5.982	17.35	224	0.875	bilinear
424	efficientnet_b1_pruned	78.240	21.760	93.834	6.166	6.33	240	0.882	bicubic
425	hrnet_w30	78.198	21.802	94.224	5.776	37.71	224	0.875	bilinear
426	pit_xs_224	78.186	21.814	94.164	5.836	10.62	224	0.900	bicubic
427	regnetx_032	78.172	21.828	94.088	5.912	15.30	224	0.875	bicubic
428	res2net50_14w_8s	78.144	21.856	93.848	6.152	25.06	224	0.875	bilinear
429	tf_efficientnet_em	78.132	21.868	94.044	5.956	6.90	240	0.882	bicubic
430	hardcorenas_f	78.098	21.902	93.802	6.198	8.20	224	0.875	bilinear
431	efficientnet_es	78.056	21.944	93.936	6.064	5.44	224	0.875	bicubic
432	gmixer_24_224	78.036	21.964	93.670	6.330	24.72	224	0.875	bicubic
433	dla102	78.030	21.970	93.948	6.052	33.27	224	0.875	bilinear
434	gluon_resnet50_v1c	78.012	21.988	93.990	6.010	25.58	224	0.875	bicubic
435	seresnext26t_32x4d	77.976	22.024	93.746	6.254	16.81	224	0.875	bicubic
436	selecsls60	77.976	22.024	93.830	6.170	30.67	224	0.875	bicubic
437	res2net50_26w_4s	77.960	22.040	93.852	6.148	25.70	224	0.875	bilinear
438	resmlp_12_distilled_224	77.942	22.058	93.558	6.442	15.35	224	0.875	bicubic
439	mobilenetv3_large_100_miil	77.916	22.084	92.906	7.094	5.48	224	0.875	bilinear
440	tf_efficientnet_cc_b0_8e	77.906	22.094	93.656	6.344	24.01	224	0.875	bicubic
441	resnet26t	77.862	22.138	93.844	6.156	16.01	256	0.940	bicubic
442	regnety_016	77.860	22.140	93.722	6.278	11.20	224	0.875	bicubic
443	rexnet_100	77.858	22.142	93.870	6.130	4.80	224	0.875	bicubic
444	tf_inception_v3	77.856	22.144	93.640	6.360	23.83	299	0.875	bicubic
445	seresnext26ts	77.852	22.148	93.790	6.210	10.39	256	0.900	bicubic
446	gcresnext26ts	77.820	22.180	93.830	6.170	10.48	256	0.900	bicubic
447	xcit_nano_12_p8_384_dist	77.818	22.182	94.044	5.956	3.05	384	1.000	bicubic
448	hardcorenas_e	77.794	22.206	93.696	6.304	8.07	224	0.875	bilinear
449	efficientnet_b0	77.690	22.310	93.530	6.470	5.29	224	0.875	bicubic
450	tinynet_a	77.650	22.350	93.536	6.464	6.19	192	0.875	bicubic
451	legacy_seresnet50	77.630	22.370	93.750	6.250	28.09	224	0.875	bilinear
452	tv_resnext50_32x4d	77.616	22.384	93.700	6.300	25.03	224	0.875	bilinear
453	seresnext26d_32x4d	77.604	22.396	93.608	6.392	16.81	224	0.875	bicubic
454	repvgg_b1g4	77.586	22.414	93.830	6.170	39.97	224	0.875	bilinear
455	adv_inception_v3	77.582	22.418	93.736	6.264	23.83	299	0.875	bicubic
456	gluon_resnet50_v1b	77.580	22.420	93.722	6.278	25.56	224	0.875	bicubic
457	res2net50_48w_2s	77.520	22.480	93.552	6.448	25.29	224	0.875	bilinear
458	coat_lite_tiny	77.514	22.486	93.916	6.084	5.72	224	0.900	bicubic
459	tf_efficientnet_lite2	77.468	22.532	93.756	6.244	6.09	260	0.890	bicubic
460	eca_resnext26ts	77.454	22.546	93.566	6.434	10.30	256	0.900	bicubic
461	inception_v3	77.438	22.562	93.474	6.526	23.83	299	0.875	bicubic
462	hardcorenas_d	77.430	22.570	93.482	6.518	7.50	224	0.875	bilinear
463	tv_resnet101	77.378	22.622	93.542	6.458	44.55	224	0.875	bilinear
464	densenet161	77.354	22.646	93.636	6.364	28.68	224	0.875	bicubic
465	tf_efficientnet_cc_b0_4e	77.302	22.698	93.334	6.666	13.31	224	0.875	bicubic
466	mobilenetv2_120d	77.294	22.706	93.496	6.504	5.83	224	0.875	bicubic
467	densenet201	77.290	22.710	93.478	6.522	20.01	224	0.875	bicubic
468	mixnet_m	77.264	22.736	93.424	6.576	5.01	224	0.875	bicubic
469	poolformer_s12	77.236	22.764	93.504	6.496	11.92	224	0.900	bicubic
470	selecsls42b	77.174	22.826	93.392	6.608	32.46	224	0.875	bicubic
471	xcit_tiny_12_p16_224	77.126	22.874	93.716	6.284	6.72	224	1.000	bicubic
472	resnet34d	77.114	22.886	93.380	6.620	21.82	224	0.875	bicubic
473	legacy_seresnext26_32x4d	77.106	22.894	93.318	6.682	16.79	224	0.875	bicubic
474	tf_efficientnet_b0_ap	77.094	22.906	93.256	6.744	5.29	224	0.875	bicubic
475	hardcorenas_c	77.050	22.950	93.158	6.842	5.52	224	0.875	bilinear
476	dla60	77.030	22.970	93.320	6.680	22.04	224	0.875	bilinear
477	crossvit_9_dagger_240	76.982	23.018	93.610	6.390	8.78	240	0.875	bicubic
478	regnetx_016	76.950	23.050	93.422	6.578	9.19	224	0.875	bicubic
479	convmixer_1024_20_ks9_p14	76.942	23.058	93.356	6.644	24.38	224	0.960	bicubic
480	tf_mixnet_m	76.942	23.058	93.154	6.846	5.01	224	0.875	bicubic
481	gernet_s	76.908	23.092	93.132	6.868	8.17	224	0.875	bilinear
482	skresnet34	76.904	23.096	93.320	6.680	22.28	224	0.875	bicubic
483	tf_efficientnet_b0	76.844	23.156	93.228	6.772	5.29	224	0.875	bicubic
484	ese_vovnet19b_dw	76.802	23.198	93.272	6.728	6.54	224	0.875	bicubic
485	resnext26ts	76.780	23.220	93.128	6.872	10.30	256	0.900	bicubic
486	hrnet_w18	76.754	23.246	93.440	6.560	21.30	224	0.875	bilinear
487	resnet26d	76.704	23.296	93.150	6.850	16.01	224	0.875	bicubic
488	resmlp_12_224	76.656	23.344	93.180	6.820	15.35	224	0.875	bicubic
489	tf_efficientnet_lite1	76.640	23.360	93.220	6.780	5.42	240	0.882	bicubic
490	mixer_b16_224	76.612	23.388	92.228	7.772	59.88	224	0.875	bicubic
491	tf_efficientnet_es	76.596	23.404	93.204	6.796	5.44	224	0.875	bicubic
492	densenetblur121d	76.584	23.416	93.192	6.808	8.00	224	0.875	bicubic
493	hardcorenas_b	76.536	23.464	92.754	7.246	5.18	224	0.875	bilinear
494	mobilenetv2_140	76.522	23.478	92.996	7.004	6.11	224	0.875	bicubic
495	levit_128s	76.520	23.480	92.872	7.128	7.78	224	0.900	bicubic
496	repvgg_a2	76.458	23.542	93.010	6.990	28.21	224	0.875	bilinear
497	xcit_nano_12_p8_224_dist	76.320	23.680	93.088	6.912	3.05	224	1.000	bicubic
498	regnety_008	76.310	23.690	93.070	6.930	6.26	224	0.875	bicubic
499	dpn68	76.306	23.694	92.974	7.026	12.61	224	0.875	bicubic
500	tv_resnet50	76.134	23.866	92.868	7.132	25.56	224	0.875	bilinear
501	mixnet_s	75.992	24.008	92.798	7.202	4.13	224	0.875	bicubic
502	vit_small_patch32_224	75.986	24.014	93.270	6.730	22.88	224	0.900	bicubic
503	vit_tiny_r_s16_p8_384	75.954	24.046	93.264	6.736	6.36	384	1.000	bicubic
504	hardcorenas_a	75.920	24.080	92.520	7.480	5.26	224	0.875	bilinear
505	densenet169	75.898	24.102	93.030	6.970	14.15	224	0.875	bicubic
506	mobilenetv3_large_100	75.766	24.234	92.544	7.456	5.48	224	0.875	bicubic
507	tf_mixnet_s	75.650	24.350	92.628	7.372	4.13	224	0.875	bicubic
508	mobilenetv3_rw	75.632	24.368	92.708	7.292	5.48	224	0.875	bicubic
509	densenet121	75.584	24.416	92.652	7.348	7.98	224	0.875	bicubic
510	tf_mobilenetv3_large_100	75.518	24.482	92.604	7.396	5.48	224	0.875	bilinear
511	resnest14d	75.504	24.496	92.520	7.480	10.61	224	0.875	bilinear
512	efficientnet_lite0	75.476	24.524	92.512	7.488	4.65	224	0.875	bicubic
513	vit_tiny_patch16_224	75.462	24.538	92.844	7.156	5.72	224	0.900	bicubic
514	xcit_nano_12_p16_384_dist	75.456	24.544	92.690	7.310	3.05	384	1.000	bicubic
515	semnasnet_100	75.450	24.550	92.600	7.400	3.89	224	0.875	bicubic
516	resnet26	75.300	24.700	92.578	7.422	16.00	224	0.875	bicubic
517	regnety_006	75.250	24.750	92.534	7.466	6.06	224	0.875	bicubic
518	repvgg_b0	75.160	24.840	92.418	7.582	15.82	224	0.875	bilinear
519	fbnetc_100	75.130	24.870	92.386	7.614	5.57	224	0.875	bilinear
520	hrnet_w18_small_v2	75.118	24.882	92.416	7.584	15.60	224	0.875	bilinear
521	resnet34	75.114	24.886	92.284	7.716	21.80	224	0.875	bilinear
522	mobilenetv2_110d	75.038	24.962	92.184	7.816	4.52	224	0.875	bicubic
523	regnetx_008	75.034	24.966	92.340	7.660	7.26	224	0.875	bicubic
524	efficientnet_es_pruned	74.996	25.004	92.440	7.560	5.44	224	0.875	bicubic
525	tinynet_b	74.976	25.024	92.184	7.816	3.73	188	0.875	bicubic
526	tf_efficientnet_lite0	74.832	25.168	92.174	7.826	4.65	224	0.875	bicubic
527	legacy_seresnet34	74.808	25.192	92.126	7.874	21.96	224	0.875	bilinear
528	tv_densenet121	74.744	25.256	92.152	7.848	7.98	224	0.875	bicubic
529	mnasnet_100	74.658	25.342	92.112	7.888	4.38	224	0.875	bicubic
530	mobilevit_xs	74.644	25.356	92.356	7.644	2.32	256	0.900	bicubic
531	dla34	74.620	25.380	92.072	7.928	15.74	224	0.875	bilinear
532	gluon_resnet34_v1b	74.588	25.412	91.988	8.012	21.80	224	0.875	bicubic
533	pit_ti_distilled_224	74.532	25.468	92.096	7.904	5.10	224	0.900	bicubic
534	deit_tiny_distilled_patch16_224	74.512	25.488	91.886	8.114	5.91	224	0.900	bicubic
535	vgg19_bn	74.214	25.786	91.848	8.152	143.68	224	0.875	bilinear
536	spnasnet_100	74.084	25.916	91.820	8.180	4.42	224	0.875	bilinear
537	regnety_004	74.024	25.976	91.754	8.246	4.34	224	0.875	bicubic
538	ghostnet_100	73.974	26.026	91.460	8.540	5.18	224	0.875	bilinear
539	crossvit_9_240	73.960	26.040	91.968	8.032	8.55	240	0.875	bicubic
540	xcit_nano_12_p8_224	73.910	26.090	92.168	7.832	3.05	224	1.000	bicubic
541	regnetx_006	73.860	26.140	91.672	8.328	6.20	224	0.875	bicubic
542	vit_base_patch32_224_sam	73.694	26.306	91.010	8.990	88.22	224	0.900	bicubic
543	tf_mobilenetv3_large_075	73.436	26.564	91.344	8.656	3.99	224	0.875	bilinear
544	vgg16_bn	73.350	26.650	91.504	8.496	138.37	224	0.875	bilinear
545	crossvit_tiny_240	73.332	26.668	91.914	8.086	7.01	240	0.875	bicubic
546	tv_resnet34	73.306	26.694	91.424	8.576	21.80	224	0.875	bilinear
547	swsl_resnet18	73.276	26.724	91.736	8.264	11.69	224	0.875	bilinear
548	convit_tiny	73.114	26.886	91.714	8.286	5.71	224	0.875	bicubic
549	skresnet18	73.036	26.964	91.168	8.832	11.96	224	0.875	bicubic
550	semnasnet_075	72.972	27.028	91.136	8.864	2.91	224	0.875	bicubic
551	mobilenetv2_100	72.970	27.030	91.020	8.980	3.50	224	0.875	bicubic
552	pit_ti_224	72.912	27.088	91.406	8.594	4.85	224	0.900	bicubic
553	ssl_resnet18	72.608	27.392	91.424	8.576	11.69	224	0.875	bilinear
554	regnetx_004	72.392	27.608	90.832	9.168	5.16	224	0.875	bicubic
555	vgg19	72.366	27.634	90.870	9.130	143.67	224	0.875	bilinear
556	hrnet_w18_small	72.338	27.662	90.680	9.320	13.19	224	0.875	bilinear
557	xcit_nano_12_p16_224_dist	72.302	27.698	90.858	9.142	3.05	224	1.000	bicubic
558	resnet18d	72.250	27.750	90.688	9.312	11.71	224	0.875	bicubic
559	tf_mobilenetv3_large_minimal_100	72.250	27.750	90.630	9.370	3.92	224	0.875	bilinear
560	deit_tiny_patch16_224	72.172	27.828	91.114	8.886	5.72	224	0.900	bicubic
561	lcnet_100	72.104	27.896	90.376	9.624	2.95	224	0.875	bicubic
562	mixer_l16_224	72.054	27.946	87.662	12.338	208.20	224	0.875	bicubic
563	vit_tiny_r_s16_p8_224	71.792	28.208	90.822	9.178	6.34	224	0.900	bicubic
564	legacy_seresnet18	71.742	28.258	90.332	9.668	11.78	224	0.875	bicubic
565	vgg13_bn	71.594	28.406	90.376	9.624	133.05	224	0.875	bilinear
566	vgg16	71.590	28.410	90.382	9.618	138.36	224	0.875	bilinear
567	tinynet_c	71.228	28.772	89.750	10.250	2.46	184	0.875	bicubic
568	gluon_resnet18_v1b	70.834	29.166	89.762	10.238	11.69	224	0.875	bicubic
569	vgg11_bn	70.360	29.640	89.802	10.198	132.87	224	0.875	bilinear
570	regnety_002	70.254	29.746	89.532	10.468	3.16	224	0.875	bicubic
571	xcit_nano_12_p16_224	69.954	30.046	89.754	10.246	3.05	224	1.000	bicubic
572	vgg13	69.926	30.074	89.246	10.754	133.05	224	0.875	bilinear
573	resnet18	69.744	30.256	89.082	10.918	11.69	224	0.875	bilinear
574	vgg11	69.028	30.972	88.626	11.374	132.86	224	0.875	bilinear
575	mobilevit_xxs	68.920	31.080	88.944	11.056	1.27	256	0.900	bicubic
576	lcnet_075	68.816	31.184	88.370	11.630	2.36	224	0.875	bicubic
577	regnetx_002	68.756	31.244	88.556	11.444	2.68	224	0.875	bicubic
578	tf_mobilenetv3_small_100	67.924	32.076	87.664	12.336	2.54	224	0.875	bilinear
579	dla60x_c	67.892	32.108	88.426	11.574	1.32	224	0.875	bilinear
580	mobilenetv3_small_100	67.656	32.344	87.634	12.366	2.54	224	0.875	bicubic
581	tinynet_d	66.958	33.042	87.064	12.936	2.34	152	0.875	bicubic
582	mnasnet_small	66.206	33.794	86.508	13.492	2.03	224	0.875	bicubic
583	dla46x_c	65.970	34.030	86.980	13.020	1.07	224	0.875	bilinear
584	mobilenetv2_050	65.942	34.058	86.082	13.918	1.97	224	0.875	bicubic
585	tf_mobilenetv3_small_075	65.714	34.286	86.134	13.866	2.04	224	0.875	bilinear
586	mobilenetv3_small_075	65.242	34.758	85.438	14.562	2.04	224	0.875	bicubic
587	dla46_c	64.866	35.134	86.294	13.706	1.30	224	0.875	bilinear
588	lcnet_050	63.100	36.900	84.382	15.618	1.88	224	0.875	bicubic
589	tf_mobilenetv3_small_minimal_100	62.908	37.092	84.234	15.766	2.04	224	0.875	bilinear
590	tinynet_e	59.856	40.144	81.764	18.236	2.04	106	0.875	bicubic
591	mobilenetv3_small_050	57.890	42.110	80.194	19.806	1.59	224	0.875	bicubic