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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation
2	beit_large_patch16_512	98.560	1.440	99.840	0.160	305.67	512	1.000	bicubic
3	tf_efficientnet_l2_ns	98.540	1.460	99.820	0.180	480.31	800	0.960	bicubic
4	beit_large_patch16_384	98.500	1.500	99.820	0.180	305.00	384	1.000	bicubic
5	tf_efficientnet_l2_ns_475	98.490	1.510	99.830	0.170	480.31	475	0.936	bicubic
6	vit_large_patch16_384	98.210	1.790	99.800	0.200	304.72	384	1.000	bicubic
7	beit_large_patch16_224	98.170	1.830	99.760	0.240	304.43	224	0.900	bicubic
8	swin_large_patch4_window12_384	98.020	1.980	99.690	0.310	196.74	384	1.000	bicubic
9	tf_efficientnet_b7_ns	97.880	2.120	99.720	0.280	66.35	600	0.949	bicubic
10	swin_base_patch4_window12_384	97.870	2.130	99.710	0.290	87.90	384	1.000	bicubic
11	vit_large_r50_s32_384	97.860	2.140	99.670	0.330	329.09	384	1.000	bicubic
12	beit_base_patch16_384	97.830	2.170	99.700	0.300	86.74	384	1.000	bicubic
13	vit_base_patch16_384	97.830	2.170	99.670	0.330	86.86	384	1.000	bicubic
14	tf_efficientnetv2_l_in21ft1k	97.680	2.320	99.670	0.330	118.52	480	1.000	bicubic
15	tf_efficientnetv2_xl_in21ft1k	97.670	2.330	99.490	0.510	208.12	512	1.000	bicubic
16	swin_large_patch4_window7_224	97.660	2.340	99.580	0.420	196.53	224	0.900	bicubic
17	vit_large_patch16_224	97.640	2.360	99.590	0.410	304.33	224	0.900	bicubic
18	ig_resnext101_32x48d	97.640	2.360	99.710	0.290	828.41	224	0.875	bilinear
19	tf_efficientnet_b6_ns	97.630	2.370	99.580	0.420	43.04	528	0.942	bicubic
20	dm_nfnet_f6	97.610	2.390	99.550	0.450	438.36	576	0.956	bicubic
21	dm_nfnet_f4	97.570	2.430	99.510	0.490	316.07	512	0.951	bicubic
22	dm_nfnet_f5	97.540	2.460	99.570	0.430	377.21	544	0.954	bicubic
23	xcit_large_24_p8_384_dist	97.530	2.470	99.540	0.460	188.93	384	1.000	bicubic
24	xcit_large_24_p16_384_dist	97.530	2.470	99.480	0.520	189.10	384	1.000	bicubic
25	resnetv2_152x4_bitm	97.490	2.510	99.620	0.380	936.53	480	1.000	bilinear
26	tf_efficientnet_b5_ns	97.490	2.510	99.630	0.370	30.39	456	0.934	bicubic
27	cait_m48_448	97.480	2.520	99.550	0.450	356.46	448	1.000	bicubic
28	tf_efficientnetv2_m_in21ft1k	97.480	2.520	99.530	0.470	54.14	480	1.000	bicubic
29	cait_m36_384	97.400	2.600	99.510	0.490	271.22	384	1.000	bicubic
30	ig_resnext101_32x32d	97.360	2.640	99.680	0.320	468.53	224	0.875	bilinear
31	dm_nfnet_f3	97.350	2.650	99.560	0.440	254.92	416	0.940	bicubic
32	cait_s36_384	97.340	2.660	99.530	0.470	68.37	384	1.000	bicubic
33	xcit_medium_24_p8_384_dist	97.300	2.700	99.510	0.490	84.32	384	1.000	bicubic
34	xcit_medium_24_p16_384_dist	97.280	2.720	99.460	0.540	84.40	384	1.000	bicubic
35	tf_efficientnetv2_l	97.270	2.730	99.550	0.450	118.52	480	1.000	bicubic
36	swin_base_patch4_window7_224	97.260	2.740	99.530	0.470	87.77	224	0.900	bicubic
37	xcit_small_24_p8_384_dist	97.250	2.750	99.610	0.390	47.63	384	1.000	bicubic
38	xcit_small_12_p8_384_dist	97.230	2.770	99.480	0.520	26.21	384	1.000	bicubic
39	tf_efficientnet_b8	97.210	2.790	99.500	0.500	87.41	672	0.954	bicubic
40	swsl_resnext101_32x8d	97.200	2.800	99.570	0.430	88.79	224	0.875	bilinear
41	tf_efficientnet_b7_ap	97.200	2.800	99.540	0.460	66.35	600	0.949	bicubic
42	vit_base_r50_s16_384	97.180	2.820	99.560	0.440	98.95	384	1.000	bicubic
43	tf_efficientnetv2_m	97.140	2.860	99.410	0.590	54.14	480	1.000	bicubic
44	xcit_small_24_p16_384_dist	97.130	2.870	99.450	0.550	47.67	384	1.000	bicubic
45	tf_efficientnet_b8_ap	97.110	2.890	99.660	0.340	87.41	672	0.954	bicubic
46	eca_nfnet_l2	97.090	2.910	99.510	0.490	56.72	384	1.000	bicubic
47	ecaresnet269d	97.090	2.910	99.470	0.530	102.09	352	1.000	bicubic
48	cait_s24_384	97.080	2.920	99.430	0.570	47.06	384	1.000	bicubic
49	tf_efficientnet_b6_ap	97.080	2.920	99.620	0.380	43.04	528	0.942	bicubic
50	beit_base_patch16_224	97.080	2.920	99.610	0.390	86.53	224	0.900	bicubic
51	xcit_large_24_p8_224_dist	97.060	2.940	99.420	0.580	188.93	224	1.000	bicubic
52	resnetv2_152x2_bitm	97.030	2.970	99.590	0.410	236.34	448	1.000	bilinear
53	dm_nfnet_f2	97.030	2.970	99.440	0.560	193.78	352	0.920	bicubic
54	resnetv2_101x3_bitm	97.020	2.980	99.490	0.510	387.93	448	1.000	bilinear
55	tf_efficientnet_b7	97.010	2.990	99.520	0.480	66.35	600	0.949	bicubic
56	efficientnetv2_rw_m	96.990	3.010	99.530	0.470	53.24	416	1.000	bicubic
57	deit_base_distilled_patch16_384	96.970	3.030	99.490	0.510	87.63	384	1.000	bicubic
58	xcit_small_12_p16_384_dist	96.940	3.060	99.400	0.600	26.25	384	1.000	bicubic
59	tf_efficientnet_b4_ns	96.930	3.070	99.580	0.420	19.34	380	0.922	bicubic
60	xcit_medium_24_p8_224_dist	96.930	3.070	99.390	0.610	84.32	224	1.000	bicubic
61	resnetrs420	96.910	3.090	99.460	0.540	191.89	416	1.000	bicubic
62	dm_nfnet_f1	96.890	3.110	99.410	0.590	132.63	320	0.910	bicubic
63	vit_base_patch16_224	96.870	3.130	99.530	0.470	86.57	224	0.900	bicubic
64	xcit_small_24_p8_224_dist	96.870	3.130	99.480	0.520	47.63	224	1.000	bicubic
65	ig_resnext101_32x16d	96.820	3.180	99.600	0.400	194.03	224	0.875	bilinear
66	resnetv2_152x2_bit_teacher_384	96.810	3.190	99.450	0.550	236.34	384	1.000	bicubic
67	xcit_large_24_p16_224_dist	96.800	3.200	99.350	0.650	189.10	224	1.000	bicubic
68	vit_large_r50_s32_224	96.790	3.210	99.350	0.650	328.99	224	0.900	bicubic
69	seresnet152d	96.770	3.230	99.450	0.550	66.84	320	1.000	bicubic
70	resnetrs350	96.760	3.240	99.360	0.640	163.96	384	1.000	bicubic
71	resnet200d	96.740	3.260	99.340	0.660	64.69	320	1.000	bicubic
72	tf_efficientnetv2_s_in21ft1k	96.740	3.260	99.420	0.580	21.46	384	1.000	bicubic
73	resnetv2_50x3_bitm	96.730	3.270	99.540	0.460	217.32	448	1.000	bilinear
74	eca_nfnet_l1	96.700	3.300	99.290	0.710	41.41	320	1.000	bicubic
75	xcit_small_12_p8_224_dist	96.700	3.300	99.390	0.610	26.21	224	1.000	bicubic
76	resnetrs270	96.690	3.310	99.350	0.650	129.86	352	1.000	bicubic
77	vit_small_patch16_384	96.690	3.310	99.480	0.520	22.20	384	1.000	bicubic
78	tf_efficientnet_b5_ap	96.680	3.320	99.460	0.540	30.39	456	0.934	bicubic
79	vit_small_r26_s32_384	96.680	3.320	99.570	0.430	36.47	384	1.000	bicubic
80	pit_b_distilled_224	96.670	3.330	99.350	0.650	74.79	224	0.900	bicubic
81	tf_efficientnet_b6	96.670	3.330	99.370	0.630	43.04	528	0.942	bicubic
82	resnest200e	96.620	3.380	99.350	0.650	70.20	320	0.909	bicubic
83	resmlp_big_24_224_in22ft1k	96.620	3.380	99.510	0.490	129.14	224	0.875	bicubic
84	xcit_medium_24_p16_224_dist	96.600	3.400	99.270	0.730	84.40	224	1.000	bicubic
85	swsl_resnext101_32x16d	96.600	3.400	99.530	0.470	194.03	224	0.875	bilinear
86	regnetz_d	96.590	3.410	99.380	0.620	27.58	320	0.950	bicubic
87	resnetrs152	96.570	3.430	99.240	0.760	86.62	320	1.000	bicubic
88	cait_xs24_384	96.560	3.440	99.420	0.580	26.67	384	1.000	bicubic
89	xcit_tiny_24_p8_384_dist	96.550	3.450	99.320	0.680	12.11	384	1.000	bicubic
90	efficientnetv2_rw_s	96.540	3.460	99.360	0.640	23.94	384	1.000	bicubic
91	crossvit_18_dagger_408	96.530	3.470	99.260	0.740	44.61	408	1.000	bicubic
92	resnest269e	96.520	3.480	99.350	0.650	110.93	416	0.928	bicubic
93	resnetrs200	96.520	3.480	99.350	0.650	93.21	320	1.000	bicubic
94	vit_base_patch32_384	96.500	3.500	99.410	0.590	88.30	384	1.000	bicubic
95	resmlp_big_24_distilled_224	96.470	3.530	99.310	0.690	129.14	224	0.875	bicubic
96	vit_base_patch16_224_miil	96.440	3.560	99.310	0.690	86.54	224	0.875	bilinear
97	swsl_resnext101_32x4d	96.420	3.580	99.470	0.530	44.18	224	0.875	bilinear
98	xcit_small_24_p8_224	96.400	3.600	99.140	0.860	47.63	224	1.000	bicubic
99	xcit_large_24_p8_224	96.400	3.600	98.980	1.020	188.93	224	1.000	bicubic
100	cait_s24_224	96.390	3.610	99.150	0.850	46.92	224	1.000	bicubic
101	crossvit_15_dagger_408	96.390	3.610	99.160	0.840	28.50	408	1.000	bicubic
102	tf_efficientnet_b3_ns	96.370	3.630	99.350	0.650	12.23	300	0.904	bicubic
103	resnet152d	96.350	3.650	99.390	0.610	60.21	320	1.000	bicubic
104	regnety_160	96.340	3.660	99.330	0.670	83.59	288	1.000	bicubic
105	tf_efficientnet_b5	96.340	3.660	99.310	0.690	30.39	456	0.934	bicubic
106	tf_efficientnetv2_s	96.340	3.660	99.200	0.800	21.46	384	1.000	bicubic
107	ig_resnext101_32x8d	96.310	3.690	99.430	0.570	88.79	224	0.875	bilinear
108	resnet101d	96.300	3.700	99.230	0.770	44.57	320	1.000	bicubic
109	twins_svt_large	96.250	3.750	99.170	0.830	99.27	224	0.900	bicubic
110	jx_nest_base	96.240	3.760	99.210	0.790	67.72	224	0.875	bicubic
111	xcit_small_24_p16_224_dist	96.210	3.790	99.210	0.790	47.67	224	1.000	bicubic
112	tf_efficientnet_b4_ap	96.170	3.830	99.280	0.720	19.34	380	0.922	bicubic
113	efficientnet_b4	96.160	3.840	99.200	0.800	19.34	384	1.000	bicubic
114	twins_svt_base	96.160	3.840	99.060	0.940	56.07	224	0.900	bicubic
115	twins_pcpvt_large	96.150	3.850	99.190	0.810	60.99	224	0.900	bicubic
116	deit_base_patch16_384	96.150	3.850	99.140	0.860	86.86	384	1.000	bicubic
117	dm_nfnet_f0	96.140	3.860	99.250	0.750	71.49	256	0.900	bicubic
118	nfnet_l0	96.130	3.870	99.240	0.760	35.07	288	1.000	bicubic
119	resnetv2_50x1_bit_distilled	96.110	3.890	99.280	0.720	25.55	224	0.875	bicubic
120	xcit_medium_24_p8_224	96.110	3.890	98.890	1.110	84.32	224	1.000	bicubic
121	xcit_small_12_p8_224	96.110	3.890	99.160	0.840	26.21	224	1.000	bicubic
122	deit_base_distilled_patch16_224	96.100	3.900	99.190	0.810	87.34	224	0.900	bicubic
123	resnetv2_101x1_bitm	96.100	3.900	99.280	0.720	44.54	448	1.000	bilinear
124	resnetv2_152x2_bit_teacher	96.090	3.910	99.270	0.730	236.34	224	0.875	bicubic
125	xcit_tiny_12_p8_384_dist	96.060	3.940	99.140	0.860	6.71	384	1.000	bicubic
126	xcit_small_12_p16_224_dist	96.030	3.970	99.130	0.870	26.25	224	1.000	bicubic
127	regnety_032	95.980	4.020	99.190	0.810	19.44	288	1.000	bicubic
128	jx_nest_small	95.970	4.030	99.040	0.960	38.35	224	0.875	bicubic
129	tresnet_xl_448	95.970	4.030	99.120	0.880	78.44	448	0.875	bilinear
130	eca_nfnet_l0	95.960	4.040	99.210	0.790	24.14	288	1.000	bicubic
131	xcit_tiny_24_p16_384_dist	95.920	4.080	99.220	0.780	12.12	384	1.000	bicubic
132	tf_efficientnet_b4	95.890	4.110	99.170	0.830	19.34	380	0.922	bicubic
133	resnet51q	95.880	4.120	99.120	0.880	35.70	288	1.000	bilinear
134	swsl_resnext50_32x4d	95.880	4.120	99.250	0.750	25.03	224	0.875	bilinear
135	swin_small_patch4_window7_224	95.880	4.120	99.020	0.980	49.61	224	0.900	bicubic
136	tresnet_l_448	95.870	4.130	99.120	0.880	55.99	448	0.875	bilinear
137	cait_xxs36_384	95.860	4.140	99.090	0.910	17.37	384	1.000	bicubic
138	resnest101e	95.860	4.140	99.210	0.790	48.28	256	0.875	bilinear
139	vit_large_patch32_384	95.830	4.170	99.150	0.850	306.63	384	1.000	bicubic
140	xcit_tiny_24_p8_224_dist	95.820	4.180	99.210	0.790	12.11	224	1.000	bicubic
141	regnetz_c	95.800	4.200	99.100	0.900	13.46	320	0.940	bicubic
142	ssl_resnext101_32x16d	95.800	4.200	99.180	0.820	194.03	224	0.875	bilinear
143	twins_pcpvt_base	95.790	4.210	99.130	0.870	43.83	224	0.900	bicubic
144	resnet61q	95.790	4.210	98.990	1.010	36.85	288	1.000	bicubic
145	tf_efficientnet_b2_ns	95.750	4.250	99.120	0.880	9.11	260	0.890	bicubic
146	gc_efficientnetv2_rw_t	95.740	4.260	99.020	0.980	13.68	288	1.000	bicubic
147	tresnet_m	95.730	4.270	99.030	0.970	31.39	224	0.875	bilinear
148	pnasnet5large	95.720	4.280	98.920	1.080	86.06	331	0.911	bicubic
149	efficientnet_b3	95.720	4.280	99.040	0.960	12.23	320	1.000	bicubic
150	nasnetalarge	95.680	4.320	98.930	1.070	88.75	331	0.911	bicubic
151	xcit_tiny_24_p8_224	95.670	4.330	99.050	0.950	12.11	224	1.000	bicubic
152	crossvit_15_dagger_240	95.670	4.330	98.820	1.180	28.21	240	0.875	bicubic
153	vit_small_r26_s32_224	95.640	4.360	99.190	0.810	36.43	224	0.900	bicubic
154	pit_b_224	95.630	4.370	98.670	1.330	73.76	224	0.900	bicubic
155	resnetv2_101	95.630	4.370	98.990	1.010	44.54	224	0.950	bicubic
156	efficientnetv2_rw_t	95.610	4.390	99.070	0.930	13.65	288	1.000	bicubic
157	crossvit_18_dagger_240	95.560	4.440	99.060	0.940	44.27	240	0.875	bicubic
158	convit_base	95.550	4.450	98.890	1.110	86.54	224	0.875	bicubic
159	ecaresnet101d	95.540	4.460	99.130	0.870	44.57	224	0.875	bicubic
160	coat_lite_small	95.530	4.470	98.860	1.140	19.84	224	0.900	bicubic
161	levit_384	95.530	4.470	99.050	0.950	39.13	224	0.900	bicubic
162	xcit_small_24_p16_224	95.530	4.470	98.770	1.230	47.67	224	1.000	bicubic
163	xcit_medium_24_p16_224	95.520	4.480	98.770	1.230	84.40	224	1.000	bicubic
164	crossvit_base_240	95.520	4.480	98.820	1.180	105.03	240	0.875	bicubic
165	visformer_small	95.500	4.500	98.900	1.100	40.22	224	0.900	bicubic
166	ecaresnet50t	95.500	4.500	99.120	0.880	25.57	320	0.950	bicubic
167	ssl_resnext101_32x8d	95.470	4.530	99.120	0.880	88.79	224	0.875	bilinear
168	crossvit_18_240	95.450	4.550	98.790	1.210	43.27	240	0.875	bicubic
169	deit_base_patch16_224	95.440	4.560	98.840	1.160	86.57	224	0.900	bicubic
170	tresnet_xl	95.440	4.560	99.060	0.940	78.44	224	0.875	bilinear
171	ssl_resnext101_32x4d	95.430	4.570	99.130	0.870	44.18	224	0.875	bilinear
172	resnetrs101	95.420	4.580	99.030	0.970	63.62	288	0.940	bicubic
173	xcit_large_24_p16_224	95.410	4.590	98.630	1.370	189.10	224	1.000	bicubic
174	swsl_resnet50	95.400	4.600	99.290	0.710	25.56	224	0.875	bilinear
175	xcit_small_12_p16_224	95.400	4.600	98.830	1.170	26.25	224	1.000	bicubic
176	vit_small_patch16_224	95.370	4.630	99.150	0.850	22.05	224	0.900	bicubic
177	tf_efficientnet_b3_ap	95.320	4.680	98.900	1.100	12.23	300	0.904	bicubic
178	mixer_b16_224_miil	95.310	4.690	98.890	1.110	59.88	224	0.875	bilinear
179	tresnet_l	95.290	4.710	99.010	0.990	55.99	224	0.875	bilinear
180	cait_xxs24_384	95.270	4.730	98.960	1.040	12.03	384	1.000	bicubic
181	jx_nest_tiny	95.250	4.750	98.980	1.020	17.06	224	0.875	bicubic
182	pit_s_distilled_224	95.240	4.760	99.050	0.950	24.04	224	0.900	bicubic
183	twins_pcpvt_small	95.230	4.770	98.880	1.120	24.11	224	0.900	bicubic
184	twins_svt_small	95.210	4.790	98.890	1.110	24.06	224	0.900	bicubic
185	convit_small	95.180	4.820	98.920	1.080	27.78	224	0.875	bicubic
186	tf_efficientnet_b1_ns	95.170	4.830	99.120	0.880	7.79	240	0.882	bicubic
187	tf_efficientnetv2_b3	95.170	4.830	98.820	1.180	14.36	300	0.904	bicubic
188	swin_tiny_patch4_window7_224	95.130	4.870	98.850	1.150	28.29	224	0.900	bicubic
189	crossvit_15_240	95.120	4.880	98.930	1.070	27.53	240	0.875	bicubic
190	efficientnet_el	95.120	4.880	98.980	1.020	10.59	300	0.904	bicubic
191	gernet_l	95.110	4.890	98.900	1.100	31.08	256	0.875	bilinear
192	xcit_tiny_12_p16_384_dist	95.110	4.890	99.020	0.980	6.72	384	1.000	bicubic
193	convmixer_1536_20	95.080	4.920	99.030	0.970	51.63	224	0.960	bicubic
194	xcit_tiny_12_p8_224_dist	95.080	4.920	98.910	1.090	6.71	224	1.000	bicubic
195	ecaresnet101d_pruned	95.070	4.930	98.980	1.020	24.88	224	0.875	bicubic
196	vit_small_patch32_384	95.060	4.940	98.990	1.010	22.92	384	1.000	bicubic
197	legacy_senet154	95.060	4.940	98.830	1.170	115.09	224	0.875	bilinear
198	regnetz_b	95.060	4.940	99.050	0.950	9.72	288	0.940	bicubic
199	gluon_resnet152_v1s	95.050	4.950	98.930	1.070	60.32	224	0.875	bicubic
200	halonet50ts	95.050	4.950	98.590	1.410	22.73	256	0.940	bicubic
201	wide_resnet50_2	95.050	4.950	98.970	1.030	68.88	224	0.875	bicubic
202	tnt_s_patch16_224	95.040	4.960	98.840	1.160	23.76	224	0.900	bicubic
203	seresnext50_32x4d	95.030	4.970	98.890	1.110	27.56	224	0.875	bicubic
204	levit_256	95.030	4.970	98.890	1.110	18.89	224	0.900	bicubic
205	tf_efficientnet_b3	95.020	4.980	98.910	1.090	12.23	300	0.904	bicubic
206	resnetv2_50x1_bitm	95.020	4.980	99.050	0.950	25.55	448	1.000	bilinear
207	vit_base_patch32_224	95.010	4.990	99.020	0.980	88.22	224	0.900	bicubic
208	coat_mini	94.990	5.010	98.780	1.220	10.34	224	0.900	bicubic
209	tresnet_m_448	94.990	5.010	98.980	1.020	31.39	448	0.875	bilinear
210	resnest50d_4s2x40d	94.950	5.050	99.070	0.930	30.42	224	0.875	bicubic
211	rexnet_200	94.940	5.060	99.000	1.000	16.37	224	0.875	bicubic
212	gluon_seresnext101_64x4d	94.940	5.060	98.820	1.180	88.23	224	0.875	bicubic
213	gluon_senet154	94.930	5.070	98.770	1.230	115.09	224	0.875	bicubic
214	gluon_seresnext101_32x4d	94.920	5.080	98.810	1.190	48.96	224	0.875	bicubic
215	seresnet33ts	94.870	5.130	98.790	1.210	19.78	256	0.900	bicubic
216	resmlp_36_distilled_224	94.870	5.130	98.860	1.140	44.69	224	0.875	bicubic
217	gcresnet50t	94.860	5.140	98.800	1.200	25.90	256	0.900	bicubic
218	ssl_resnext50_32x4d	94.860	5.140	98.870	1.130	25.03	224	0.875	bilinear
219	tf_efficientnet_lite4	94.860	5.140	99.020	0.980	13.01	380	0.920	bilinear
220	crossvit_small_240	94.830	5.170	99.020	0.980	26.86	240	0.875	bicubic
221	resnest50d	94.830	5.170	98.880	1.120	27.48	224	0.875	bilinear
222	lamhalobotnet50ts_256	94.800	5.200	98.550	1.450	22.57	256	0.950	bicubic
223	sehalonet33ts	94.780	5.220	98.570	1.430	13.69	256	0.940	bicubic
224	resnest50d_1s4x24d	94.770	5.230	98.980	1.020	25.68	224	0.875	bicubic
225	ecaresnetlight	94.770	5.230	98.800	1.200	30.16	224	0.875	bicubic
226	lambda_resnet50ts	94.770	5.230	98.470	1.530	21.54	256	0.950	bicubic
227	halo2botnet50ts_256	94.760	5.240	98.660	1.340	22.64	256	0.950	bicubic
228	gluon_resnet152_v1d	94.750	5.250	98.740	1.260	60.21	224	0.875	bicubic
229	xcit_tiny_12_p8_224	94.710	5.290	98.830	1.170	6.71	224	1.000	bicubic
230	deit_small_distilled_patch16_224	94.710	5.290	99.030	0.970	22.44	224	0.900	bicubic
231	haloregnetz_b	94.710	5.290	98.660	1.340	11.68	224	0.940	bicubic
232	gluon_resnet101_v1s	94.700	5.300	98.820	1.180	44.67	224	0.875	bicubic
233	cspdarknet53	94.670	5.330	98.810	1.190	27.64	256	0.887	bilinear
234	resmlp_big_24_224	94.650	5.350	98.490	1.510	129.14	224	0.875	bicubic
235	gluon_resnext101_64x4d	94.640	5.360	98.670	1.330	83.46	224	0.875	bicubic
236	efficientnet_b2	94.630	5.370	98.710	1.290	9.11	288	1.000	bicubic
237	ecaresnet50d	94.620	5.380	98.890	1.110	25.58	224	0.875	bicubic
238	efficientnet_b3_pruned	94.620	5.380	98.770	1.230	9.86	300	0.904	bicubic
239	gernet_m	94.620	5.380	98.860	1.140	21.14	224	0.875	bilinear
240	pit_s_224	94.580	5.420	98.720	1.280	23.46	224	0.900	bicubic
241	repvgg_b3	94.570	5.430	98.790	1.210	123.09	224	0.875	bilinear
242	nf_resnet50	94.560	5.440	98.790	1.210	25.56	288	0.940	bicubic
243	seresnet50	94.560	5.440	98.750	1.250	28.09	224	0.875	bicubic
244	regnety_320	94.550	5.450	98.850	1.150	145.05	224	0.875	bicubic
245	inception_resnet_v2	94.540	5.460	98.790	1.210	55.84	299	0.897	bicubic
246	gluon_resnext101_32x4d	94.540	5.460	98.630	1.370	44.18	224	0.875	bicubic
247	repvgg_b3g4	94.530	5.470	98.960	1.040	83.83	224	0.875	bilinear
248	xcit_tiny_24_p16_224_dist	94.520	5.480	98.790	1.210	12.12	224	1.000	bicubic
249	convmixer_768_32	94.490	5.510	98.850	1.150	21.11	224	0.960	bicubic
250	tf_efficientnet_b2_ap	94.490	5.510	98.620	1.380	9.11	260	0.890	bicubic
251	regnety_120	94.480	5.520	98.810	1.190	51.82	224	0.875	bicubic
252	gcresnext50ts	94.480	5.520	98.670	1.330	15.67	256	0.900	bicubic
253	gcresnet33ts	94.480	5.520	98.780	1.220	19.88	256	0.900	bicubic
254	cspresnext50	94.470	5.530	98.680	1.320	20.57	224	0.875	bilinear
255	ssl_resnet50	94.470	5.530	98.920	1.080	25.56	224	0.875	bilinear
256	rexnet_150	94.470	5.530	98.790	1.210	9.73	224	0.875	bicubic
257	resmlp_24_distilled_224	94.450	5.550	98.770	1.230	30.02	224	0.875	bicubic
258	resnetv2_50	94.440	5.560	98.730	1.270	25.55	224	0.950	bicubic
259	regnetx_320	94.440	5.560	98.730	1.270	107.81	224	0.875	bicubic
260	tf_efficientnetv2_b2	94.410	5.590	98.570	1.430	10.10	260	0.890	bicubic
261	deit_small_patch16_224	94.400	5.600	98.690	1.310	22.05	224	0.900	bicubic
262	tf_efficientnet_el	94.400	5.600	98.710	1.290	10.59	300	0.904	bicubic
263	efficientnet_el_pruned	94.390	5.610	98.750	1.250	10.59	300	0.904	bicubic
264	inception_v4	94.370	5.630	98.580	1.420	42.68	299	0.875	bicubic
265	tf_efficientnet_b2	94.370	5.630	98.610	1.390	9.11	260	0.890	bicubic
266	legacy_seresnext101_32x4d	94.350	5.650	98.630	1.370	48.96	224	0.875	bilinear
267	resnet50	94.330	5.670	98.440	1.560	25.56	224	0.950	bicubic
268	gluon_seresnext50_32x4d	94.330	5.670	98.620	1.380	27.56	224	0.875	bicubic
269	ecaresnet26t	94.300	5.700	98.710	1.290	16.01	320	0.950	bicubic
270	dpn107	94.300	5.700	98.470	1.530	86.92	224	0.875	bicubic
271	xception71	94.290	5.710	98.640	1.360	42.34	299	0.903	bicubic
272	resnetrs50	94.290	5.710	98.640	1.360	35.69	224	0.910	bicubic
273	resnet50d	94.270	5.730	98.720	1.280	25.58	224	0.875	bicubic
274	gluon_xception65	94.260	5.740	98.570	1.430	39.92	299	0.903	bicubic
275	cait_xxs36_224	94.260	5.740	98.710	1.290	17.30	224	1.000	bicubic
276	skresnext50_32x4d	94.260	5.740	98.470	1.530	27.48	224	0.875	bicubic
277	regnetx_120	94.240	5.760	98.670	1.330	46.11	224	0.875	bicubic
278	dpn92	94.220	5.780	98.730	1.270	37.67	224	0.875	bicubic
279	ecaresnet50d_pruned	94.210	5.790	98.730	1.270	19.94	224	0.875	bicubic
280	mixnet_xl	94.200	5.800	98.340	1.660	11.90	224	0.875	bicubic
281	eca_resnet33ts	94.200	5.800	98.770	1.230	19.68	256	0.900	bicubic
282	gluon_resnet101_v1d	94.200	5.800	98.570	1.430	44.57	224	0.875	bicubic
283	resmlp_36_224	94.190	5.810	98.660	1.340	44.69	224	0.875	bicubic
284	resnext50d_32x4d	94.190	5.810	98.570	1.430	25.05	224	0.875	bicubic
285	tf_efficientnet_lite3	94.190	5.810	98.640	1.360	8.20	300	0.904	bilinear
286	levit_192	94.180	5.820	98.560	1.440	10.95	224	0.900	bicubic
287	regnety_080	94.180	5.820	98.680	1.320	39.18	224	0.875	bicubic
288	ens_adv_inception_resnet_v2	94.160	5.840	98.610	1.390	55.84	299	0.897	bicubic
289	gluon_resnet152_v1c	94.160	5.840	98.640	1.360	60.21	224	0.875	bicubic
290	gmlp_s16_224	94.150	5.850	98.500	1.500	19.42	224	0.875	bicubic
291	regnety_064	94.150	5.850	98.740	1.260	30.58	224	0.875	bicubic
292	vit_base_patch16_sam_224	94.150	5.850	98.670	1.330	86.57	224	0.900	bicubic
293	efficientnet_b2_pruned	94.140	5.860	98.520	1.480	8.31	260	0.890	bicubic
294	dpn98	94.120	5.880	98.580	1.420	61.57	224	0.875	bicubic
295	regnetx_160	94.120	5.880	98.740	1.260	54.28	224	0.875	bicubic
296	nf_regnet_b1	94.120	5.880	98.620	1.380	10.22	288	0.900	bicubic
297	resnext50_32x4d	94.110	5.890	98.350	1.650	25.03	224	0.875	bicubic
298	ese_vovnet39b	94.090	5.910	98.660	1.340	24.57	224	0.875	bicubic
299	gluon_resnet152_v1b	94.080	5.920	98.460	1.540	60.19	224	0.875	bicubic
300	xcit_tiny_24_p16_224	94.080	5.920	98.510	1.490	12.12	224	1.000	bicubic
301	coat_lite_mini	94.050	5.950	98.540	1.460	11.01	224	0.900	bicubic
302	resmlp_24_224	94.020	5.980	98.330	1.670	30.02	224	0.875	bicubic
303	dpn131	93.990	6.010	98.720	1.280	79.25	224	0.875	bicubic
304	hrnet_w64	93.990	6.010	98.620	1.380	128.06	224	0.875	bilinear
305	halonet26t	93.980	6.020	98.490	1.510	12.48	256	0.950	bicubic
306	dla102x2	93.960	6.040	98.480	1.520	41.28	224	0.875	bilinear
307	hrnet_w48	93.940	6.060	98.610	1.390	77.47	224	0.875	bilinear
308	tf_efficientnetv2_b1	93.940	6.060	98.620	1.380	8.14	240	0.882	bicubic
309	resnetblur50	93.930	6.070	98.580	1.420	25.56	224	0.875	bicubic
310	tf_efficientnet_cc_b1_8e	93.920	6.080	98.250	1.750	39.72	240	0.882	bicubic
311	rexnet_130	93.900	6.100	98.400	1.600	7.56	224	0.875	bicubic
312	regnetx_064	93.890	6.110	98.630	1.370	26.21	224	0.875	bicubic
313	regnetx_080	93.870	6.130	98.520	1.480	39.57	224	0.875	bicubic
314	regnety_040	93.860	6.140	98.640	1.360	20.65	224	0.875	bicubic
315	repvgg_b2g4	93.840	6.160	98.600	1.400	61.76	224	0.875	bilinear
316	efficientnet_em	93.840	6.160	98.810	1.190	6.90	240	0.882	bicubic
317	gluon_resnext50_32x4d	93.820	6.180	98.410	1.590	25.03	224	0.875	bicubic
318	lambda_resnet26t	93.820	6.180	98.650	1.350	10.96	256	0.940	bicubic
319	pit_xs_distilled_224	93.820	6.180	98.670	1.330	11.00	224	0.900	bicubic
320	eca_botnext26ts_256	93.790	6.210	98.500	1.500	10.59	256	0.950	bicubic
321	resnext101_32x8d	93.790	6.210	98.580	1.420	88.79	224	0.875	bilinear
322	gluon_resnet50_v1d	93.780	6.220	98.400	1.600	25.58	224	0.875	bicubic
323	xception65	93.770	6.230	98.360	1.640	39.92	299	0.903	bicubic
324	cspresnet50	93.750	6.250	98.630	1.370	21.62	256	0.887	bilinear
325	gluon_resnet101_v1b	93.730	6.270	98.400	1.600	44.55	224	0.875	bicubic
326	wide_resnet101_2	93.720	6.280	98.540	1.460	126.89	224	0.875	bilinear
327	res2net101_26w_4s	93.720	6.280	98.320	1.680	45.21	224	0.875	bilinear
328	legacy_seresnext50_32x4d	93.720	6.280	98.580	1.420	27.56	224	0.875	bilinear
329	lambda_resnet26rpt_256	93.720	6.280	98.500	1.500	10.99	256	0.940	bicubic
330	tf_efficientnet_b1_ap	93.710	6.290	98.360	1.640	7.79	240	0.882	bicubic
331	dpn68b	93.680	6.320	98.530	1.470	12.61	224	0.875	bicubic
332	gluon_resnet101_v1c	93.660	6.340	98.410	1.590	44.57	224	0.875	bicubic
333	vit_tiny_patch16_384	93.650	6.350	98.600	1.400	5.79	384	1.000	bicubic
334	gluon_resnet50_v1s	93.630	6.370	98.470	1.530	25.68	224	0.875	bicubic
335	tf_efficientnet_b0_ns	93.620	6.380	98.640	1.360	5.29	224	0.875	bicubic
336	resnet33ts	93.600	6.400	98.530	1.470	19.68	256	0.900	bicubic
337	cait_xxs24_224	93.590	6.410	98.440	1.560	11.96	224	1.000	bicubic
338	hrnet_w44	93.580	6.420	98.700	1.300	67.06	224	0.875	bilinear
339	coat_tiny	93.580	6.420	98.410	1.590	5.50	224	0.900	bicubic
340	regnetx_040	93.550	6.450	98.560	1.440	22.12	224	0.875	bicubic
341	hrnet_w32	93.520	6.480	98.440	1.560	41.23	224	0.875	bilinear
342	eca_halonext26ts	93.510	6.490	98.280	1.720	10.76	256	0.940	bicubic
343	tf_efficientnet_b1	93.510	6.490	98.360	1.640	7.79	240	0.882	bicubic
344	dla102x	93.510	6.490	98.500	1.500	26.31	224	0.875	bilinear
345	botnet26t_256	93.500	6.500	98.300	1.700	12.49	256	0.950	bicubic
346	repvgg_b2	93.490	6.510	98.730	1.270	89.02	224	0.875	bilinear
347	hrnet_w40	93.490	6.510	98.590	1.410	57.56	224	0.875	bilinear
348	xcit_nano_12_p8_384_dist	93.480	6.520	98.520	1.480	3.05	384	1.000	bicubic
349	xception	93.480	6.520	98.530	1.470	22.86	299	0.897	bicubic
350	resnet32ts	93.470	6.530	98.490	1.510	17.96	256	0.900	bicubic
351	gluon_inception_v3	93.460	6.540	98.560	1.440	23.83	299	0.875	bicubic
352	res2net50_26w_8s	93.430	6.570	98.180	1.820	48.40	224	0.875	bilinear
353	mixnet_l	93.430	6.570	98.220	1.780	7.33	224	0.875	bicubic
354	legacy_seresnet152	93.420	6.580	98.340	1.660	66.82	224	0.875	bilinear
355	xception41	93.410	6.590	98.420	1.580	26.97	299	0.903	bicubic
356	xcit_tiny_12_p16_224_dist	93.400	6.600	98.490	1.510	6.72	224	1.000	bicubic
357	res2net50_26w_6s	93.400	6.600	98.280	1.720	37.05	224	0.875	bilinear
358	resnest26d	93.360	6.640	98.640	1.360	17.07	224	0.875	bilinear
359	levit_128	93.340	6.660	98.380	1.620	9.21	224	0.900	bicubic
360	dla169	93.340	6.660	98.600	1.400	53.39	224	0.875	bilinear
361	repvgg_b1	93.330	6.670	98.510	1.490	57.42	224	0.875	bilinear
362	tf_inception_v3	93.330	6.670	98.040	1.960	23.83	299	0.875	bicubic
363	tv_resnet152	93.330	6.670	98.390	1.610	60.19	224	0.875	bilinear
364	tf_mixnet_l	93.310	6.690	98.030	1.970	7.33	224	0.875	bicubic
365	bat_resnext26ts	93.310	6.690	98.350	1.650	10.73	256	0.900	bicubic
366	legacy_seresnet101	93.300	6.700	98.500	1.500	49.33	224	0.875	bilinear
367	selecsls60b	93.290	6.710	98.280	1.720	32.77	224	0.875	bicubic
368	efficientnet_b1	93.240	6.760	98.290	1.710	7.79	256	1.000	bicubic
369	coat_lite_tiny	93.220	6.780	98.270	1.730	5.72	224	0.900	bicubic
370	efficientnet_es	93.200	6.800	98.400	1.600	5.44	224	0.875	bicubic
371	hrnet_w30	93.200	6.800	98.410	1.590	37.71	224	0.875	bilinear
372	dla60_res2next	93.180	6.820	98.410	1.590	17.03	224	0.875	bilinear
373	dla60_res2net	93.160	6.840	98.410	1.590	20.85	224	0.875	bilinear
374	regnetx_032	93.120	6.880	98.390	1.610	15.30	224	0.875	bicubic
375	pit_xs_224	93.120	6.880	98.320	1.680	10.62	224	0.900	bicubic
376	tf_efficientnetv2_b0	93.110	6.890	98.390	1.610	7.14	224	0.875	bicubic
377	dla60x	93.090	6.910	98.490	1.510	17.35	224	0.875	bilinear
378	dla102	93.080	6.920	98.540	1.460	33.27	224	0.875	bilinear
379	gluon_resnet50_v1c	93.030	6.970	98.370	1.630	25.58	224	0.875	bicubic
380	regnety_016	93.030	6.970	98.360	1.640	11.20	224	0.875	bicubic
381	rexnet_100	93.030	6.970	98.190	1.810	4.80	224	0.875	bicubic
382	selecsls60	93.020	6.980	98.310	1.690	30.67	224	0.875	bicubic
383	repvgg_b1g4	93.000	7.000	98.430	1.570	39.97	224	0.875	bilinear
384	legacy_seresnet50	92.950	7.050	98.190	1.810	28.09	224	0.875	bilinear
385	hardcorenas_f	92.950	7.050	98.160	1.840	8.20	224	0.875	bilinear
386	tf_efficientnet_em	92.950	7.050	98.210	1.790	6.90	240	0.882	bicubic
387	crossvit_9_dagger_240	92.920	7.080	98.250	1.750	8.78	240	0.875	bicubic
388	adv_inception_v3	92.890	7.110	98.130	1.870	23.83	299	0.875	bicubic
389	res2next50	92.850	7.150	98.180	1.820	24.67	224	0.875	bilinear
390	gmixer_24_224	92.840	7.160	97.880	2.120	24.72	224	0.875	bicubic
391	resmlp_12_distilled_224	92.830	7.170	98.140	1.860	15.35	224	0.875	bicubic
392	tf_efficientnet_cc_b0_8e	92.820	7.180	98.180	1.820	24.01	224	0.875	bicubic
393	seresnext26t_32x4d	92.810	7.190	98.370	1.630	16.81	224	0.875	bicubic
394	tv_resnet101	92.810	7.190	98.230	1.770	44.55	224	0.875	bilinear
395	efficientnet_b1_pruned	92.770	7.230	98.040	1.960	6.33	240	0.882	bicubic
396	gcresnext26ts	92.770	7.230	98.270	1.730	10.48	256	0.900	bicubic
397	tv_resnext50_32x4d	92.760	7.240	98.280	1.720	25.03	224	0.875	bilinear
398	densenet201	92.750	7.250	98.240	1.760	20.01	224	0.875	bicubic
399	resnet26t	92.750	7.250	98.240	1.760	16.01	256	0.940	bicubic
400	seresnext26d_32x4d	92.740	7.260	98.150	1.850	16.81	224	0.875	bicubic
401	inception_v3	92.720	7.280	97.960	2.040	23.83	299	0.875	bicubic
402	res2net50_14w_8s	92.720	7.280	98.190	1.810	25.06	224	0.875	bilinear
403	resnet34d	92.700	7.300	98.300	1.700	21.82	224	0.875	bicubic
404	seresnext26ts	92.680	7.320	98.300	1.700	10.39	256	0.900	bicubic
405	efficientnet_b0	92.670	7.330	98.080	1.920	5.29	224	0.875	bicubic
406	eca_resnext26ts	92.660	7.340	98.260	1.740	10.30	256	0.900	bicubic
407	tf_efficientnet_lite2	92.660	7.340	98.230	1.770	6.09	260	0.890	bicubic
408	legacy_seresnext26_32x4d	92.630	7.370	98.120	1.880	16.79	224	0.875	bicubic
409	tf_efficientnet_cc_b0_4e	92.620	7.380	98.080	1.920	13.31	224	0.875	bicubic
410	tf_efficientnet_lite1	92.620	7.380	98.080	1.920	5.42	240	0.882	bicubic
411	hardcorenas_e	92.580	7.420	98.110	1.890	8.07	224	0.875	bilinear
412	res2net50_48w_2s	92.550	7.450	98.080	1.920	25.29	224	0.875	bilinear
413	gluon_resnet50_v1b	92.540	7.460	98.190	1.810	25.56	224	0.875	bicubic
414	densenet161	92.500	7.500	98.290	1.710	28.68	224	0.875	bicubic
415	xcit_tiny_12_p16_224	92.490	7.510	98.250	1.750	6.72	224	1.000	bicubic
416	res2net50_26w_4s	92.480	7.520	98.070	1.930	25.70	224	0.875	bilinear
417	mixnet_m	92.440	7.560	97.870	2.130	5.01	224	0.875	bicubic
418	convmixer_1024_20_ks9_p14	92.430	7.570	98.270	1.730	24.38	224	0.960	bicubic
419	hardcorenas_d	92.420	7.580	98.070	1.930	7.50	224	0.875	bilinear
420	mobilenetv2_120d	92.400	7.600	98.050	1.950	5.83	224	0.875	bicubic
421	skresnet34	92.380	7.620	98.140	1.860	22.28	224	0.875	bicubic
422	tf_mixnet_m	92.330	7.670	97.890	2.110	5.01	224	0.875	bicubic
423	hrnet_w18	92.310	7.690	98.250	1.750	21.30	224	0.875	bilinear
424	selecsls42b	92.300	7.700	98.140	1.860	32.46	224	0.875	bicubic
425	mobilenetv3_large_100_miil	92.270	7.730	97.640	2.360	5.48	224	0.875	bilinear
426	ese_vovnet19b_dw	92.270	7.730	98.100	1.900	6.54	224	0.875	bicubic
427	tf_efficientnet_b0	92.230	7.770	98.000	2.000	5.29	224	0.875	bicubic
428	tf_efficientnet_b0_ap	92.220	7.780	98.020	1.980	5.29	224	0.875	bicubic
429	dla60	92.220	7.780	98.110	1.890	22.04	224	0.875	bilinear
430	resmlp_12_224	92.190	7.810	98.160	1.840	15.35	224	0.875	bicubic
431	regnetx_016	92.160	7.840	98.210	1.790	9.19	224	0.875	bicubic
432	gernet_s	92.140	7.860	98.190	1.810	8.17	224	0.875	bilinear
433	xcit_nano_12_p8_224_dist	92.100	7.900	98.160	1.840	3.05	224	1.000	bicubic
434	resnet26d	92.050	7.950	97.960	2.040	16.01	224	0.875	bicubic
435	vit_small_patch32_224	92.030	7.970	98.230	1.770	22.88	224	0.900	bicubic
436	vit_tiny_r_s16_p8_384	92.030	7.970	98.290	1.710	6.36	384	1.000	bicubic
437	dpn68	92.020	7.980	98.040	1.960	12.61	224	0.875	bicubic
438	hardcorenas_c	92.020	7.980	97.840	2.160	5.52	224	0.875	bilinear
439	tf_efficientnet_es	91.990	8.010	97.870	2.130	5.44	224	0.875	bicubic
440	levit_128s	91.950	8.050	98.060	1.940	7.78	224	0.900	bicubic
441	repvgg_a2	91.940	8.060	98.150	1.850	28.21	224	0.875	bilinear
442	densenet169	91.910	8.090	98.100	1.900	14.15	224	0.875	bicubic
443	densenetblur121d	91.910	8.090	98.090	1.910	8.00	224	0.875	bicubic
444	tv_resnet50	91.890	8.110	98.040	1.960	25.56	224	0.875	bilinear
445	mixer_b16_224	91.860	8.140	97.230	2.770	59.88	224	0.875	bicubic
446	resnext26ts	91.860	8.140	97.930	2.070	10.30	256	0.900	bicubic
447	xcit_nano_12_p16_384_dist	91.830	8.170	98.010	1.990	3.05	384	1.000	bicubic
448	mobilenetv2_140	91.830	8.170	97.860	2.140	6.11	224	0.875	bicubic
449	mixnet_s	91.820	8.180	97.690	2.310	4.13	224	0.875	bicubic
450	vit_tiny_patch16_224	91.760	8.240	98.040	1.960	5.72	224	0.900	bicubic
451	hardcorenas_b	91.740	8.260	97.780	2.220	5.18	224	0.875	bilinear
452	resnest14d	91.730	8.270	97.870	2.130	10.61	224	0.875	bilinear
453	regnety_008	91.710	8.290	98.180	1.820	6.26	224	0.875	bicubic
454	densenet121	91.570	8.430	98.030	1.970	7.98	224	0.875	bicubic
455	tf_mixnet_s	91.510	8.490	97.610	2.390	4.13	224	0.875	bicubic
456	repvgg_b0	91.450	8.550	97.980	2.020	15.82	224	0.875	bilinear
457	regnety_006	91.380	8.620	97.710	2.290	6.06	224	0.875	bicubic
458	mobilenetv3_large_100	91.340	8.660	97.710	2.290	5.48	224	0.875	bicubic
459	hardcorenas_a	91.340	8.660	97.860	2.140	5.26	224	0.875	bilinear
460	semnasnet_100	91.280	8.720	97.570	2.430	3.89	224	0.875	bicubic
461	tf_mobilenetv3_large_100	91.230	8.770	97.660	2.340	5.48	224	0.875	bilinear
462	mobilenetv3_rw	91.210	8.790	97.660	2.340	5.48	224	0.875	bicubic
463	efficientnet_es_pruned	91.190	8.810	97.740	2.260	5.44	224	0.875	bicubic
464	hrnet_w18_small_v2	91.190	8.810	97.900	2.100	15.60	224	0.875	bilinear
465	efficientnet_lite0	91.140	8.860	97.630	2.370	4.65	224	0.875	bicubic
466	resnet26	91.130	8.870	97.740	2.260	16.00	224	0.875	bicubic
467	resnet34	91.120	8.880	97.630	2.370	21.80	224	0.875	bilinear
468	regnetx_008	91.050	8.950	97.710	2.290	7.26	224	0.875	bicubic
469	tf_efficientnet_lite0	91.050	8.950	97.570	2.430	4.65	224	0.875	bicubic
470	xcit_nano_12_p8_224	90.990	9.010	97.800	2.200	3.05	224	1.000	bicubic
471	gluon_resnet34_v1b	90.990	9.010	97.650	2.350	21.80	224	0.875	bicubic
472	mobilenetv2_110d	90.970	9.030	97.560	2.440	4.52	224	0.875	bicubic
473	legacy_seresnet34	90.900	9.100	97.580	2.420	21.96	224	0.875	bilinear
474	tv_densenet121	90.900	9.100	97.700	2.300	7.98	224	0.875	bicubic
475	pit_ti_distilled_224	90.880	9.120	97.720	2.280	5.10	224	0.900	bicubic
476	dla34	90.770	9.230	97.650	2.350	15.74	224	0.875	bilinear
477	deit_tiny_distilled_patch16_224	90.730	9.270	97.580	2.420	5.91	224	0.900	bicubic
478	fbnetc_100	90.720	9.280	97.210	2.790	5.57	224	0.875	bilinear
479	swsl_resnet18	90.680	9.320	97.710	2.290	11.69	224	0.875	bilinear
480	crossvit_9_240	90.660	9.340	97.740	2.260	8.55	240	0.875	bicubic
481	convit_tiny	90.610	9.390	97.730	2.270	5.71	224	0.875	bicubic
482	mnasnet_100	90.510	9.490	97.470	2.530	4.38	224	0.875	bicubic
483	regnety_004	90.480	9.520	97.560	2.440	4.34	224	0.875	bicubic
484	spnasnet_100	90.350	9.650	97.190	2.810	4.42	224	0.875	bilinear
485	regnetx_006	90.320	9.680	97.430	2.570	6.20	224	0.875	bicubic
486	crossvit_tiny_240	90.250	9.750	97.610	2.390	7.01	240	0.875	bicubic
487	ssl_resnet18	90.230	9.770	97.560	2.440	11.69	224	0.875	bilinear
488	vgg19_bn	90.100	9.900	97.580	2.420	143.68	224	0.875	bilinear
489	vgg16_bn	90.090	9.910	97.370	2.630	138.37	224	0.875	bilinear
490	ghostnet_100	90.030	9.970	97.370	2.630	5.18	224	0.875	bilinear
491	pit_ti_224	89.930	10.070	97.440	2.560	4.85	224	0.900	bicubic
492	tv_resnet34	89.920	10.080	97.340	2.660	21.80	224	0.875	bilinear
493	vit_base_patch32_sam_224	89.750	10.250	97.000	3.000	88.22	224	0.900	bicubic
494	tf_mobilenetv3_large_075	89.710	10.290	97.220	2.780	3.99	224	0.875	bilinear
495	xcit_nano_12_p16_224_dist	89.680	10.320	97.090	2.910	3.05	224	1.000	bicubic
496	deit_tiny_patch16_224	89.670	10.330	97.440	2.560	5.72	224	0.900	bicubic
497	skresnet18	89.660	10.340	97.220	2.780	11.96	224	0.875	bicubic
498	mobilenetv2_100	89.610	10.390	97.150	2.850	3.50	224	0.875	bicubic
499	resnet18d	89.290	10.710	97.140	2.860	11.71	224	0.875	bicubic
500	vit_tiny_r_s16_p8_224	89.190	10.810	97.230	2.770	6.34	224	0.900	bicubic
501	vgg19	89.060	10.940	96.870	3.130	143.67	224	0.875	bilinear
502	hrnet_w18_small	89.060	10.940	97.100	2.900	13.19	224	0.875	bilinear
503	tf_mobilenetv3_large_minimal_100	88.950	11.050	96.870	3.130	3.92	224	0.875	bilinear
504	legacy_seresnet18	88.880	11.120	96.970	3.030	11.78	224	0.875	bicubic
505	regnetx_004	88.880	11.120	97.120	2.880	5.16	224	0.875	bicubic
506	vgg13_bn	88.780	11.220	96.970	3.030	133.05	224	0.875	bilinear
507	xcit_nano_12_p16_224	88.590	11.410	96.790	3.210	3.05	224	1.000	bicubic
508	vgg16	88.550	11.450	96.790	3.210	138.36	224	0.875	bilinear
509	gluon_resnet18_v1b	88.380	11.620	96.700	3.300	11.69	224	0.875	bicubic
510	vgg11_bn	87.520	12.480	96.810	3.190	132.87	224	0.875	bilinear
511	resnet18	87.370	12.630	96.260	3.740	11.69	224	0.875	bilinear
512	regnety_002	87.360	12.640	96.570	3.430	3.16	224	0.875	bicubic
513	mixer_l16_224	87.160	12.840	93.530	6.470	208.20	224	0.875	bicubic
514	vgg13	87.030	12.970	96.310	3.690	133.05	224	0.875	bilinear
515	vgg11	86.580	13.420	96.290	3.710	132.86	224	0.875	bilinear
516	dla60x_c	86.280	13.720	96.160	3.840	1.32	224	0.875	bilinear
517	regnetx_002	86.200	13.800	95.970	4.030	2.68	224	0.875	bicubic
518	tf_mobilenetv3_small_100	85.210	14.790	95.780	4.220	2.54	224	0.875	bilinear
519	dla46x_c	84.250	15.750	95.280	4.720	1.07	224	0.875	bilinear
520	dla46_c	83.640	16.360	94.910	5.090	1.30	224	0.875	bilinear
521	tf_mobilenetv3_small_075	83.480	16.520	94.800	5.200	2.04	224	0.875	bilinear
522	tf_mobilenetv3_small_minimal_100	81.390	18.610	93.670	6.330	2.04	224	0.875	bilinear