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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation
2	beit_large_patch16_384	97.810	2.190	99.790	0.210	305.00	384	1.000	bicubic
3	beit_large_patch16_512	97.780	2.220	99.820	0.180	305.67	512	1.000	bicubic
4	tf_efficientnet_l2_ns	97.780	2.220	99.890	0.110	480.31	800	0.960	bicubic
5	tf_efficientnet_l2_ns_475	97.750	2.250	99.820	0.180	480.31	475	0.936	bicubic
6	convnext_xlarge_384_in22ft1k	97.550	2.450	99.800	0.200	350.20	384	1.000	bicubic
7	beit_large_patch16_224	97.480	2.520	99.690	0.310	304.43	224	0.900	bicubic
8	convnext_large_384_in22ft1k	97.440	2.560	99.780	0.220	197.77	384	1.000	bicubic
9	vit_large_patch16_384	97.420	2.580	99.780	0.220	304.72	384	1.000	bicubic
10	beit_base_patch16_384	97.330	2.670	99.720	0.280	86.74	384	1.000	bicubic
11	convnext_base_384_in22ft1k	97.280	2.720	99.770	0.230	88.59	384	1.000	bicubic
12	convnext_large_in22ft1k	97.260	2.740	99.650	0.350	197.77	224	0.875	bicubic
13	convnext_xlarge_in22ft1k	97.240	2.760	99.730	0.270	350.20	224	0.875	bicubic
14	tf_efficientnet_b7_ns	97.200	2.800	99.700	0.300	66.35	600	0.949	bicubic
15	swin_large_patch4_window12_384	97.180	2.820	99.680	0.320	196.74	384	1.000	bicubic
16	tf_efficientnetv2_xl_in21ft1k	97.150	2.850	99.620	0.380	208.12	512	1.000	bicubic
17	swin_base_patch4_window12_384	97.120	2.880	99.780	0.220	87.90	384	1.000	bicubic
18	tf_efficientnetv2_l_in21ft1k	97.110	2.890	99.710	0.290	118.52	480	1.000	bicubic
19	vit_base_patch8_224	97.080	2.920	99.620	0.380	86.58	224	0.900	bicubic
20	tf_efficientnet_b6_ns	97.020	2.980	99.710	0.290	43.04	528	0.942	bicubic
21	vit_base_patch16_384	97.020	2.980	99.710	0.290	86.86	384	1.000	bicubic
22	ig_resnext101_32x48d	96.970	3.030	99.670	0.330	828.41	224	0.875	bilinear
23	tf_efficientnetv2_m_in21ft1k	96.970	3.030	99.610	0.390	54.14	480	1.000	bicubic
24	swin_large_patch4_window7_224	96.950	3.050	99.660	0.340	196.53	224	0.900	bicubic
25	vit_large_r50_s32_384	96.950	3.050	99.710	0.290	329.09	384	1.000	bicubic
26	xcit_large_24_p16_384_dist	96.940	3.060	99.510	0.490	189.10	384	1.000	bicubic
27	dm_nfnet_f6	96.920	3.080	99.720	0.280	438.36	576	0.956	bicubic
28	cait_m48_448	96.880	3.120	99.620	0.380	356.46	448	1.000	bicubic
29	resnetv2_152x4_bitm	96.880	3.120	99.660	0.340	936.53	480	1.000	bilinear
30	tf_efficientnet_b5_ns	96.870	3.130	99.640	0.360	30.39	456	0.934	bicubic
31	convnext_base_in22ft1k	96.860	3.140	99.650	0.350	88.59	224	0.875	bicubic
32	cait_m36_384	96.830	3.170	99.660	0.340	271.22	384	1.000	bicubic
33	dm_nfnet_f5	96.810	3.190	99.670	0.330	377.21	544	0.954	bicubic
34	xcit_small_24_p8_384_dist	96.810	3.190	99.630	0.370	47.63	384	1.000	bicubic
35	xcit_medium_24_p8_384_dist	96.780	3.220	99.610	0.390	84.32	384	1.000	bicubic
36	ig_resnext101_32x32d	96.780	3.220	99.530	0.470	468.53	224	0.875	bilinear
37	dm_nfnet_f4	96.780	3.220	99.620	0.380	316.07	512	0.951	bicubic
38	xcit_large_24_p8_384_dist	96.760	3.240	99.560	0.440	188.93	384	1.000	bicubic
39	dm_nfnet_f3	96.730	3.270	99.630	0.370	254.92	416	0.940	bicubic
40	tf_efficientnet_b4_ns	96.710	3.290	99.640	0.360	19.34	380	0.922	bicubic
41	vit_large_patch16_224	96.710	3.290	99.650	0.350	304.33	224	0.900	bicubic
42	tf_efficientnet_b8	96.700	3.300	99.530	0.470	87.41	672	0.954	bicubic
43	xcit_medium_24_p16_384_dist	96.700	3.300	99.600	0.400	84.40	384	1.000	bicubic
44	swin_base_patch4_window7_224	96.680	3.320	99.660	0.340	87.77	224	0.900	bicubic
45	beit_base_patch16_224	96.660	3.340	99.660	0.340	86.53	224	0.900	bicubic
46	tf_efficientnetv2_l	96.650	3.350	99.560	0.440	118.52	480	1.000	bicubic
47	xcit_large_24_p8_224_dist	96.640	3.360	99.460	0.540	188.93	224	1.000	bicubic
48	cait_s36_384	96.630	3.370	99.600	0.400	68.37	384	1.000	bicubic
49	regnetz_e8	96.600	3.400	99.610	0.390	57.70	320	1.000	bicubic
50	tf_efficientnet_b7	96.580	3.420	99.510	0.490	66.35	600	0.949	bicubic
51	cait_s24_384	96.570	3.430	99.550	0.450	47.06	384	1.000	bicubic
52	tf_efficientnet_b8_ap	96.550	3.450	99.540	0.460	87.41	672	0.954	bicubic
53	xcit_small_24_p8_224_dist	96.550	3.450	99.570	0.430	47.63	224	1.000	bicubic
54	tf_efficientnetv2_m	96.540	3.460	99.570	0.430	54.14	480	1.000	bicubic
55	resnetv2_152x2_bitm	96.520	3.480	99.590	0.410	236.34	448	1.000	bilinear
56	xcit_medium_24_p8_224_dist	96.520	3.480	99.510	0.490	84.32	224	1.000	bicubic
57	deit_base_distilled_patch16_384	96.510	3.490	99.590	0.410	87.63	384	1.000	bicubic
58	xcit_small_12_p8_384_dist	96.480	3.520	99.490	0.510	26.21	384	1.000	bicubic
59	tf_efficientnetv2_s_in21ft1k	96.470	3.530	99.570	0.430	21.46	384	1.000	bicubic
60	dm_nfnet_f2	96.460	3.540	99.540	0.460	193.78	352	0.920	bicubic
61	ecaresnet269d	96.460	3.540	99.610	0.390	102.09	352	1.000	bicubic
62	eca_nfnet_l2	96.450	3.550	99.630	0.370	56.72	384	1.000	bicubic
63	vit_base_r50_s16_384	96.450	3.550	99.660	0.340	98.95	384	1.000	bicubic
64	ig_resnext101_32x16d	96.440	3.560	99.540	0.460	194.03	224	0.875	bilinear
65	resnetrs420	96.400	3.600	99.540	0.460	191.89	416	1.000	bicubic
66	dm_nfnet_f1	96.380	3.620	99.470	0.530	132.63	320	0.910	bicubic
67	tf_efficientnet_b6_ap	96.370	3.630	99.550	0.450	43.04	528	0.942	bicubic
68	resmlp_big_24_224_in22ft1k	96.350	3.650	99.520	0.480	129.14	224	0.875	bicubic
69	tf_efficientnet_b7_ap	96.350	3.650	99.590	0.410	66.35	600	0.949	bicubic
70	xcit_small_24_p16_384_dist	96.340	3.660	99.580	0.420	47.67	384	1.000	bicubic
71	xcit_small_12_p16_384_dist	96.330	3.670	99.490	0.510	26.25	384	1.000	bicubic
72	xcit_large_24_p16_224_dist	96.320	3.680	99.500	0.500	189.10	224	1.000	bicubic
73	seresnet152d	96.310	3.690	99.510	0.490	66.84	320	1.000	bicubic
74	vit_base_patch16_224	96.300	3.700	99.560	0.440	86.57	224	0.900	bicubic
75	tf_efficientnet_b6	96.290	3.710	99.520	0.480	43.04	528	0.942	bicubic
76	swsl_resnext101_32x16d	96.280	3.720	99.500	0.500	194.03	224	0.875	bilinear
77	efficientnetv2_rw_m	96.270	3.730	99.560	0.440	53.24	416	1.000	bicubic
78	resnetv2_50x3_bitm	96.270	3.730	99.630	0.370	217.32	448	1.000	bilinear
79	xcit_medium_24_p16_224_dist	96.260	3.740	99.400	0.600	84.40	224	1.000	bicubic
80	resnetv2_101x3_bitm	96.250	3.750	99.580	0.420	387.93	448	1.000	bilinear
81	resnetrs350	96.240	3.760	99.470	0.530	163.96	384	1.000	bicubic
82	swsl_resnext101_32x8d	96.240	3.760	99.590	0.410	88.79	224	0.875	bilinear
83	xcit_tiny_24_p8_384_dist	96.240	3.760	99.440	0.560	12.11	384	1.000	bicubic
84	resnetv2_152x2_bit_teacher_384	96.190	3.810	99.500	0.500	236.34	384	1.000	bicubic
85	vit_large_r50_s32_224	96.180	3.820	99.530	0.470	328.99	224	0.900	bicubic
86	crossvit_18_dagger_408	96.130	3.870	99.470	0.530	44.61	408	1.000	bicubic
87	resnest269e	96.130	3.870	99.520	0.480	110.93	416	0.928	bicubic
88	resnet200d	96.110	3.890	99.460	0.540	64.69	320	1.000	bicubic
89	tf_efficientnet_b3_ns	96.100	3.900	99.480	0.520	12.23	300	0.904	bicubic
90	tf_efficientnet_b5_ap	96.080	3.920	99.540	0.460	30.39	456	0.934	bicubic
91	xcit_large_24_p8_224	96.080	3.920	99.150	0.850	188.93	224	1.000	bicubic
92	pit_b_distilled_224	96.070	3.930	99.380	0.620	74.79	224	0.900	bicubic
93	resnest200e	96.070	3.930	99.480	0.520	70.20	320	0.909	bicubic
94	resnetrs270	96.060	3.940	99.480	0.520	129.86	352	1.000	bicubic
95	vit_small_r26_s32_384	96.060	3.940	99.550	0.450	36.47	384	1.000	bicubic
96	swsl_resnext101_32x4d	96.040	3.960	99.530	0.470	44.18	224	0.875	bilinear
97	vit_base_patch16_224_miil	96.030	3.970	99.350	0.650	86.54	224	0.875	bilinear
98	convnext_large	96.020	3.980	99.470	0.530	197.77	224	0.875	bicubic
99	cait_xs24_384	96.010	3.990	99.430	0.570	26.67	384	1.000	bicubic
100	regnetz_d8	96.010	3.990	99.520	0.480	23.37	320	1.000	bicubic
101	resnetrs200	95.990	4.010	99.440	0.560	93.21	320	1.000	bicubic
102	tf_efficientnet_b5	95.980	4.020	99.450	0.550	30.39	456	0.934	bicubic
103	vit_small_patch16_384	95.980	4.020	99.590	0.410	22.20	384	1.000	bicubic
104	resnetrs152	95.960	4.040	99.380	0.620	86.62	320	1.000	bicubic
105	xcit_small_12_p8_224_dist	95.960	4.040	99.420	0.580	26.21	224	1.000	bicubic
106	convnext_base	95.950	4.050	99.380	0.620	88.59	224	0.875	bicubic
107	ig_resnext101_32x8d	95.940	4.060	99.380	0.620	88.79	224	0.875	bilinear
108	eca_nfnet_l1	95.930	4.070	99.490	0.510	41.41	320	1.000	bicubic
109	xcit_small_24_p8_224	95.910	4.090	99.180	0.820	47.63	224	1.000	bicubic
110	vit_base_patch32_384	95.900	4.100	99.440	0.560	88.30	384	1.000	bicubic
111	regnety_160	95.880	4.120	99.560	0.440	83.59	288	1.000	bicubic
112	resmlp_big_24_distilled_224	95.870	4.130	99.440	0.560	129.14	224	0.875	bicubic
113	resnet152d	95.870	4.130	99.430	0.570	60.21	320	1.000	bicubic
114	xcit_medium_24_p8_224	95.870	4.130	99.080	0.920	84.32	224	1.000	bicubic
115	regnetz_d32	95.860	4.140	99.430	0.570	27.58	320	0.950	bicubic
116	crossvit_15_dagger_408	95.820	4.180	99.310	0.690	28.50	408	1.000	bicubic
117	xcit_small_24_p16_224_dist	95.800	4.200	99.340	0.660	47.67	224	1.000	bicubic
118	deit_base_distilled_patch16_224	95.750	4.250	99.280	0.720	87.34	224	0.900	bicubic
119	resnet101d	95.750	4.250	99.440	0.560	44.57	320	1.000	bicubic
120	resnetv2_152x2_bit_teacher	95.750	4.250	99.430	0.570	236.34	224	0.875	bicubic
121	xcit_small_12_p16_224_dist	95.740	4.260	99.300	0.700	26.25	224	1.000	bicubic
122	twins_svt_large	95.720	4.280	99.370	0.630	99.27	224	0.900	bicubic
123	twins_pcpvt_large	95.720	4.280	99.490	0.510	60.99	224	0.900	bicubic
124	swin_small_patch4_window7_224	95.720	4.280	99.290	0.710	49.61	224	0.900	bicubic
125	tf_efficientnetv2_s	95.710	4.290	99.400	0.600	21.46	384	1.000	bicubic
126	efficientnetv2_rw_s	95.700	4.300	99.380	0.620	23.94	384	1.000	bicubic
127	dm_nfnet_f0	95.690	4.310	99.330	0.670	71.49	256	0.900	bicubic
128	cait_s24_224	95.650	4.350	99.390	0.610	46.92	224	1.000	bicubic
129	deit_base_patch16_384	95.650	4.350	99.240	0.760	86.86	384	1.000	bicubic
130	convnext_small	95.630	4.370	99.260	0.740	50.22	224	0.875	bicubic
131	swsl_resnext50_32x4d	95.600	4.400	99.440	0.560	25.03	224	0.875	bilinear
132	tf_efficientnet_b4	95.590	4.410	99.330	0.670	19.34	380	0.922	bicubic
133	twins_svt_base	95.570	4.430	99.230	0.770	56.07	224	0.900	bicubic
134	resnest101e	95.560	4.440	99.270	0.730	48.28	256	0.875	bilinear
135	resnet152	95.560	4.440	99.270	0.730	60.19	224	0.950	bicubic
136	jx_nest_base	95.540	4.460	99.300	0.700	67.72	224	0.875	bicubic
137	jx_nest_small	95.540	4.460	99.220	0.780	38.35	224	0.875	bicubic
138	efficientnet_b4	95.520	4.480	99.400	0.600	19.34	384	1.000	bicubic
139	tf_efficientnet_b2_ns	95.520	4.480	99.340	0.660	9.11	260	0.890	bicubic
140	tresnet_xl_448	95.510	4.490	99.340	0.660	78.44	448	0.875	bilinear
141	tf_efficientnet_b4_ap	95.490	4.510	99.390	0.610	19.34	380	0.922	bicubic
142	regnety_032	95.480	4.520	99.320	0.680	19.44	288	1.000	bicubic
143	xcit_tiny_24_p16_384_dist	95.480	4.520	99.360	0.640	12.12	384	1.000	bicubic
144	twins_pcpvt_base	95.460	4.540	99.390	0.610	43.83	224	0.900	bicubic
145	xcit_tiny_24_p8_224_dist	95.460	4.540	99.360	0.640	12.11	224	1.000	bicubic
146	eca_nfnet_l0	95.450	4.550	99.390	0.610	24.14	288	1.000	bicubic
147	xcit_small_12_p8_224	95.420	4.580	99.200	0.800	26.21	224	1.000	bicubic
148	ssl_resnext101_32x16d	95.410	4.590	99.410	0.590	194.03	224	0.875	bilinear
149	tresnet_l_448	95.400	4.600	99.300	0.700	55.99	448	0.875	bilinear
150	nfnet_l0	95.390	4.610	99.420	0.580	35.07	288	1.000	bicubic
151	regnetz_c16	95.390	4.610	99.310	0.690	13.46	320	0.940	bicubic
152	resnetv2_50x1_bit_distilled	95.390	4.610	99.430	0.570	25.55	224	0.875	bicubic
153	tresnet_m	95.380	4.620	99.150	0.850	31.39	224	0.875	bilinear
154	pnasnet5large	95.360	4.640	99.130	0.870	86.06	331	0.911	bicubic
155	xcit_tiny_12_p8_384_dist	95.340	4.660	99.340	0.660	6.71	384	1.000	bicubic
156	ssl_resnext101_32x8d	95.330	4.670	99.310	0.690	88.79	224	0.875	bilinear
157	resnetv2_101x1_bitm	95.320	4.680	99.370	0.630	44.54	448	1.000	bilinear
158	gc_efficientnetv2_rw_t	95.280	4.720	99.220	0.780	13.68	288	1.000	bicubic
159	resnetrs101	95.250	4.750	99.210	0.790	63.62	288	0.940	bicubic
160	vit_large_patch32_384	95.240	4.760	99.320	0.680	306.63	384	1.000	bicubic
161	cait_xxs36_384	95.230	4.770	99.320	0.680	17.37	384	1.000	bicubic
162	levit_384	95.210	4.790	99.160	0.840	39.13	224	0.900	bicubic
163	resnet51q	95.200	4.800	99.280	0.720	35.70	288	1.000	bilinear
164	swsl_resnet50	95.200	4.800	99.390	0.610	25.56	224	0.875	bilinear
165	crossvit_18_dagger_240	95.190	4.810	99.120	0.880	44.27	240	0.875	bicubic
166	ecaresnet101d	95.160	4.840	99.230	0.770	44.57	224	0.875	bicubic
167	ssl_resnext101_32x4d	95.160	4.840	99.310	0.690	44.18	224	0.875	bilinear
168	nasnetalarge	95.150	4.850	99.130	0.870	88.75	331	0.911	bicubic
169	efficientnet_b3	95.130	4.870	99.210	0.790	12.23	320	1.000	bicubic
170	fbnetv3_g	95.130	4.870	99.200	0.800	16.62	288	0.950	bilinear
171	vit_small_r26_s32_224	95.130	4.870	99.220	0.780	36.43	224	0.900	bicubic
172	xcit_medium_24_p16_224	95.130	4.870	98.920	1.080	84.40	224	1.000	bicubic
173	tf_efficientnetv2_b3	95.120	4.880	99.200	0.800	14.36	300	0.904	bicubic
174	resnet61q	95.110	4.890	99.080	0.920	36.85	288	1.000	bicubic
175	convit_base	95.100	4.900	99.140	0.860	86.54	224	0.875	bicubic
176	xcit_small_24_p16_224	95.080	4.920	99.060	0.940	47.67	224	1.000	bicubic
177	coat_lite_small	95.080	4.920	99.030	0.970	19.84	224	0.900	bicubic
178	crossvit_18_240	95.070	4.930	99.120	0.880	43.27	240	0.875	bicubic
179	crossvit_base_240	95.070	4.930	98.980	1.020	105.03	240	0.875	bicubic
180	ecaresnet50t	95.070	4.930	99.290	0.710	25.57	320	0.950	bicubic
181	efficientnetv2_rw_t	95.070	4.930	99.220	0.780	13.65	288	1.000	bicubic
182	tresnet_xl	95.060	4.940	99.260	0.740	78.44	224	0.875	bilinear
183	halo2botnet50ts_256	95.010	4.990	99.040	0.960	22.64	256	0.950	bicubic
184	deit_base_patch16_224	95.010	4.990	98.980	1.020	86.57	224	0.900	bicubic
185	convnext_tiny	94.990	5.010	99.200	0.800	28.59	224	0.875	bicubic
186	crossvit_15_dagger_240	94.980	5.020	99.160	0.840	28.21	240	0.875	bicubic
187	convmixer_1536_20	94.970	5.030	99.170	0.830	51.63	224	0.960	bicubic
188	resnet101	94.970	5.030	99.080	0.920	44.55	224	0.950	bicubic
189	tf_efficientnet_b3_ap	94.970	5.030	99.110	0.890	12.23	300	0.904	bicubic
190	visformer_small	94.960	5.040	99.210	0.790	40.22	224	0.900	bicubic
191	xcit_large_24_p16_224	94.950	5.050	98.830	1.170	189.10	224	1.000	bicubic
192	jx_nest_tiny	94.950	5.050	99.100	0.900	17.06	224	0.875	bicubic
193	cait_xxs24_384	94.940	5.060	99.130	0.870	12.03	384	1.000	bicubic
194	gernet_l	94.930	5.070	99.200	0.800	31.08	256	0.875	bilinear
195	resnetv2_101	94.930	5.070	99.120	0.880	44.54	224	0.950	bicubic
196	convit_small	94.920	5.080	99.100	0.900	27.78	224	0.875	bicubic
197	tf_efficientnet_b3	94.910	5.090	99.110	0.890	12.23	300	0.904	bicubic
198	tresnet_l	94.900	5.100	99.030	0.970	55.99	224	0.875	bilinear
199	mixer_b16_224_miil	94.880	5.120	99.080	0.920	59.88	224	0.875	bilinear
200	vit_small_patch16_224	94.880	5.120	99.270	0.730	22.05	224	0.900	bicubic
201	xcit_tiny_24_p8_224	94.880	5.120	99.190	0.810	12.11	224	1.000	bicubic
202	tf_efficientnet_lite4	94.870	5.130	99.090	0.910	13.01	380	0.920	bilinear
203	tf_efficientnet_b1_ns	94.860	5.140	99.250	0.750	7.79	240	0.882	bicubic
204	xcit_small_12_p16_224	94.820	5.180	99.060	0.940	26.25	224	1.000	bicubic
205	seresnext50_32x4d	94.810	5.190	99.130	0.870	27.56	224	0.875	bicubic
206	pit_b_224	94.790	5.210	98.820	1.180	73.76	224	0.900	bicubic
207	lamhalobotnet50ts_256	94.780	5.220	98.980	1.020	22.57	256	0.950	bicubic
208	twins_svt_small	94.770	5.230	99.080	0.920	24.06	224	0.900	bicubic
209	coat_mini	94.770	5.230	98.950	1.050	10.34	224	0.900	bicubic
210	resnetv2_50x1_bitm	94.750	5.250	99.180	0.820	25.55	448	1.000	bilinear
211	pit_s_distilled_224	94.750	5.250	99.180	0.820	24.04	224	0.900	bicubic
212	legacy_senet154	94.730	5.270	99.100	0.900	115.09	224	0.875	bilinear
213	crossvit_15_240	94.720	5.280	99.080	0.920	27.53	240	0.875	bicubic
214	gluon_senet154	94.710	5.290	98.970	1.030	115.09	224	0.875	bicubic
215	halonet50ts	94.710	5.290	98.820	1.180	22.73	256	0.940	bicubic
216	resnest50d_4s2x40d	94.710	5.290	99.130	0.870	30.42	224	0.875	bicubic
217	xcit_tiny_12_p8_224_dist	94.710	5.290	99.180	0.820	6.71	224	1.000	bicubic
218	gluon_resnet152_v1s	94.700	5.300	99.060	0.940	60.32	224	0.875	bicubic
219	ssl_resnext50_32x4d	94.700	5.300	99.240	0.760	25.03	224	0.875	bilinear
220	regnetz_b16	94.680	5.320	99.160	0.840	9.72	288	0.940	bicubic
221	efficientnet_el	94.670	5.330	99.130	0.870	10.59	300	0.904	bicubic
222	gluon_seresnext101_64x4d	94.660	5.340	98.980	1.020	88.23	224	0.875	bicubic
223	rexnet_200	94.660	5.340	99.090	0.910	16.37	224	0.875	bicubic
224	wide_resnet50_2	94.660	5.340	99.050	0.950	68.88	224	0.875	bicubic
225	tresnet_m_448	94.650	5.350	99.150	0.850	31.39	448	0.875	bilinear
226	resnest50d	94.620	5.380	99.030	0.970	27.48	224	0.875	bilinear
227	swin_tiny_patch4_window7_224	94.620	5.380	99.120	0.880	28.29	224	0.900	bicubic
228	gcresnet50t	94.620	5.380	98.980	1.020	25.90	256	0.900	bicubic
229	deit_small_distilled_patch16_224	94.600	5.400	99.100	0.900	22.44	224	0.900	bicubic
230	twins_pcpvt_small	94.600	5.400	99.150	0.850	24.11	224	0.900	bicubic
231	vit_small_patch32_384	94.600	5.400	99.140	0.860	22.92	384	1.000	bicubic
232	pit_s_224	94.590	5.410	98.920	1.080	23.46	224	0.900	bicubic
233	crossvit_small_240	94.580	5.420	99.120	0.880	26.86	240	0.875	bicubic
234	efficientnet_b3_pruned	94.580	5.420	99.070	0.930	9.86	300	0.904	bicubic
235	lambda_resnet50ts	94.570	5.430	98.650	1.350	21.54	256	0.950	bicubic
236	resnext50_32x4d	94.570	5.430	98.800	1.200	25.03	224	0.950	bicubic
237	tnt_s_patch16_224	94.570	5.430	99.180	0.820	23.76	224	0.900	bicubic
238	repvgg_b3	94.560	5.440	98.910	1.090	123.09	224	0.875	bilinear
239	gernet_m	94.550	5.450	98.930	1.070	21.14	224	0.875	bilinear
240	resmlp_36_distilled_224	94.550	5.450	99.160	0.840	44.69	224	0.875	bicubic
241	sehalonet33ts	94.530	5.470	98.760	1.240	13.69	256	0.940	bicubic
242	xcit_tiny_12_p16_384_dist	94.530	5.470	99.170	0.830	6.72	384	1.000	bicubic
243	regnety_320	94.520	5.480	99.170	0.830	145.05	224	0.875	bicubic
244	haloregnetz_b	94.520	5.480	98.960	1.040	11.68	224	0.940	bicubic
245	repvgg_b3g4	94.500	5.500	99.020	0.980	83.83	224	0.875	bilinear
246	ecaresnet101d_pruned	94.450	5.550	99.100	0.900	24.88	224	0.875	bicubic
247	gluon_seresnext101_32x4d	94.450	5.550	99.090	0.910	48.96	224	0.875	bicubic
248	gluon_resnet152_v1d	94.440	5.560	99.010	0.990	60.21	224	0.875	bicubic
249	convmixer_768_32	94.430	5.570	99.110	0.890	21.11	224	0.960	bicubic
250	gcresnext50ts	94.410	5.590	98.990	1.010	15.67	256	0.900	bicubic
251	levit_256	94.400	5.600	99.060	0.940	18.89	224	0.900	bicubic
252	resnest50d_1s4x24d	94.390	5.610	99.070	0.930	25.68	224	0.875	bicubic
253	vit_base_patch32_224	94.390	5.610	99.060	0.940	88.22	224	0.900	bicubic
254	inception_v4	94.380	5.620	98.820	1.180	42.68	299	0.875	bicubic
255	nf_resnet50	94.380	5.620	99.070	0.930	25.56	288	0.940	bicubic
256	efficientnet_b2	94.370	5.630	99.050	0.950	9.11	288	1.000	bicubic
257	tf_efficientnet_el	94.360	5.640	99.100	0.900	10.59	300	0.904	bicubic
258	xcit_tiny_12_p8_224	94.360	5.640	99.070	0.930	6.71	224	1.000	bicubic
259	gluon_resnext101_64x4d	94.350	5.650	98.880	1.120	83.46	224	0.875	bicubic
260	resmlp_24_distilled_224	94.340	5.660	99.090	0.910	30.02	224	0.875	bicubic
261	inception_resnet_v2	94.340	5.660	98.800	1.200	55.84	299	0.897	bicubic
262	sebotnet33ts_256	94.310	5.690	98.600	1.400	13.70	256	0.940	bicubic
263	ssl_resnet50	94.310	5.690	99.150	0.850	25.56	224	0.875	bilinear
264	resmlp_big_24_224	94.270	5.730	98.820	1.180	129.14	224	0.875	bicubic
265	resnetv2_50	94.270	5.730	98.930	1.070	25.55	224	0.950	bicubic
266	rexnet_150	94.270	5.730	99.080	0.920	9.73	224	0.875	bicubic
267	seresnet33ts	94.270	5.730	98.780	1.220	19.78	256	0.900	bicubic
268	tf_efficientnet_b2_ap	94.270	5.730	98.950	1.050	9.11	260	0.890	bicubic
269	regnetx_120	94.260	5.740	99.190	0.810	46.11	224	0.875	bicubic
270	mixnet_xl	94.230	5.770	98.820	1.180	11.90	224	0.875	bicubic
271	regnetx_320	94.220	5.780	99.050	0.950	107.81	224	0.875	bicubic
272	tf_efficientnet_b2	94.210	5.790	99.030	0.970	9.11	260	0.890	bicubic
273	xcit_tiny_24_p16_224_dist	94.210	5.790	98.960	1.040	12.12	224	1.000	bicubic
274	ecaresnet50d	94.200	5.800	99.020	0.980	25.58	224	0.875	bicubic
275	dpn92	94.180	5.820	98.930	1.070	37.67	224	0.875	bicubic
276	resnet50_gn	94.180	5.820	98.920	1.080	25.56	224	0.940	bicubic
277	gluon_seresnext50_32x4d	94.170	5.830	98.910	1.090	27.56	224	0.875	bicubic
278	gluon_resnet101_v1s	94.170	5.830	99.010	0.990	44.67	224	0.875	bicubic
279	gluon_resnet101_v1d	94.170	5.830	98.940	1.060	44.57	224	0.875	bicubic
280	ecaresnetlight	94.140	5.860	98.950	1.050	30.16	224	0.875	bicubic
281	ens_adv_inception_resnet_v2	94.130	5.870	98.790	1.210	55.84	299	0.897	bicubic
282	regnety_064	94.130	5.870	99.030	0.970	30.58	224	0.875	bicubic
283	gluon_resnext101_32x4d	94.120	5.880	98.940	1.060	44.18	224	0.875	bicubic
284	legacy_seresnext101_32x4d	94.120	5.880	98.970	1.030	48.96	224	0.875	bilinear
285	tf_efficientnet_lite3	94.120	5.880	98.960	1.040	8.20	300	0.904	bilinear
286	cspdarknet53	94.090	5.910	98.980	1.020	27.64	256	0.887	bilinear
287	efficientnet_el_pruned	94.080	5.920	99.020	0.980	10.59	300	0.904	bicubic
288	seresnet50	94.080	5.920	98.960	1.040	28.09	224	0.875	bicubic
289	resnet50d	94.070	5.930	98.920	1.080	25.58	224	0.875	bicubic
290	tf_efficientnetv2_b2	94.070	5.930	98.930	1.070	10.10	260	0.890	bicubic
291	gluon_resnet152_v1b	94.030	5.970	98.740	1.260	60.19	224	0.875	bicubic
292	hrnet_w48	94.030	5.970	99.040	0.960	77.47	224	0.875	bilinear
293	gluon_xception65	94.020	5.980	99.020	0.980	39.92	299	0.903	bicubic
294	resnetrs50	94.020	5.980	98.850	1.150	35.69	224	0.910	bicubic
295	regnety_120	94.010	5.990	99.030	0.970	51.82	224	0.875	bicubic
296	dla102x2	94.000	6.000	99.030	0.970	41.28	224	0.875	bilinear
297	deit_small_patch16_224	93.990	6.010	98.960	1.040	22.05	224	0.900	bicubic
298	dpn107	93.960	6.040	98.830	1.170	86.92	224	0.875	bicubic
299	ecaresnet26t	93.950	6.050	98.920	1.080	16.01	320	0.950	bicubic
300	skresnext50_32x4d	93.950	6.050	98.830	1.170	27.48	224	0.875	bicubic
301	cait_xxs36_224	93.930	6.070	98.890	1.110	17.30	224	1.000	bicubic
302	resnet50	93.930	6.070	98.470	1.530	25.56	224	0.950	bicubic
303	dpn98	93.920	6.080	98.920	1.080	61.57	224	0.875	bicubic
304	gluon_resnet152_v1c	93.890	6.110	98.800	1.200	60.21	224	0.875	bicubic
305	regnetx_160	93.890	6.110	99.090	0.910	54.28	224	0.875	bicubic
306	regnety_080	93.890	6.110	99.000	1.000	39.18	224	0.875	bicubic
307	vit_base_patch16_sam_224	93.890	6.110	98.890	1.110	86.57	224	0.900	bicubic
308	nf_regnet_b1	93.880	6.120	98.740	1.260	10.22	288	0.900	bicubic
309	xception71	93.880	6.120	98.950	1.050	42.34	299	0.903	bicubic
310	cspresnet50	93.860	6.140	98.860	1.140	21.62	256	0.887	bilinear
311	eca_resnet33ts	93.860	6.140	98.890	1.110	19.68	256	0.900	bicubic
312	xcit_tiny_24_p16_224	93.850	6.150	98.760	1.240	12.12	224	1.000	bicubic
313	ese_vovnet39b	93.850	6.150	98.900	1.100	24.57	224	0.875	bicubic
314	fbnetv3_d	93.840	6.160	98.910	1.090	10.31	256	0.950	bilinear
315	hrnet_w64	93.840	6.160	98.930	1.070	128.06	224	0.875	bilinear
316	ecaresnet50d_pruned	93.820	6.180	99.000	1.000	19.94	224	0.875	bicubic
317	gcresnet33ts	93.820	6.180	98.910	1.090	19.88	256	0.900	bicubic
318	repvgg_b2g4	93.810	6.190	98.930	1.070	61.76	224	0.875	bilinear
319	resnext50d_32x4d	93.810	6.190	98.740	1.260	25.05	224	0.875	bicubic
320	efficientnet_b2_pruned	93.800	6.200	98.910	1.090	8.31	260	0.890	bicubic
321	dla169	93.800	6.200	98.840	1.160	53.39	224	0.875	bilinear
322	regnetx_080	93.790	6.210	98.900	1.100	39.57	224	0.875	bicubic
323	cspresnext50	93.780	6.220	98.840	1.160	20.57	224	0.875	bilinear
324	gluon_resnet101_v1b	93.770	6.230	98.690	1.310	44.55	224	0.875	bicubic
325	resnext101_32x8d	93.770	6.230	98.950	1.050	88.79	224	0.875	bilinear
326	xception65	93.760	6.240	98.860	1.140	39.92	299	0.903	bicubic
327	dpn131	93.750	6.250	98.840	1.160	79.25	224	0.875	bicubic
328	efficientnet_em	93.740	6.260	98.930	1.070	6.90	240	0.882	bicubic
329	tf_efficientnet_b0_ns	93.740	6.260	98.980	1.020	5.29	224	0.875	bicubic
330	wide_resnet101_2	93.720	6.280	98.810	1.190	126.89	224	0.875	bilinear
331	hrnet_w40	93.710	6.290	98.800	1.200	57.56	224	0.875	bilinear
332	resnetblur50	93.710	6.290	98.810	1.190	25.56	224	0.875	bicubic
333	tf_efficientnet_b1	93.710	6.290	98.800	1.200	7.79	240	0.882	bicubic
334	tf_efficientnetv2_b1	93.710	6.290	98.820	1.180	8.14	240	0.882	bicubic
335	levit_192	93.710	6.290	98.800	1.200	10.95	224	0.900	bicubic
336	gluon_resnet101_v1c	93.690	6.310	98.760	1.240	44.57	224	0.875	bicubic
337	regnetx_040	93.680	6.320	98.940	1.060	22.12	224	0.875	bicubic
338	rexnet_130	93.680	6.320	98.710	1.290	7.56	224	0.875	bicubic
339	resmlp_36_224	93.650	6.350	98.950	1.050	44.69	224	0.875	bicubic
340	fbnetv3_b	93.650	6.350	98.910	1.090	8.60	256	0.950	bilinear
341	gluon_resnext50_32x4d	93.650	6.350	98.690	1.310	25.03	224	0.875	bicubic
342	xception	93.640	6.360	98.760	1.240	22.86	299	0.897	bicubic
343	resnet33ts	93.630	6.370	98.760	1.240	19.68	256	0.900	bicubic
344	tf_efficientnet_b1_ap	93.630	6.370	98.800	1.200	7.79	240	0.882	bicubic
345	dpn68b	93.620	6.380	98.700	1.300	12.61	224	0.875	bicubic
346	regnetx_064	93.620	6.380	99.050	0.950	26.21	224	0.875	bicubic
347	res2net50_26w_6s	93.610	6.390	98.740	1.260	37.05	224	0.875	bilinear
348	hrnet_w44	93.610	6.390	98.960	1.040	67.06	224	0.875	bilinear
349	regnety_040	93.610	6.390	98.950	1.050	20.65	224	0.875	bicubic
350	halonet26t	93.600	6.400	98.640	1.360	12.48	256	0.950	bicubic
351	gluon_resnet50_v1s	93.590	6.410	98.840	1.160	25.68	224	0.875	bicubic
352	repvgg_b2	93.590	6.410	99.070	0.930	89.02	224	0.875	bilinear
353	dla60_res2next	93.570	6.430	98.790	1.210	17.03	224	0.875	bilinear
354	resnet32ts	93.570	6.430	98.750	1.250	17.96	256	0.900	bicubic
355	tf_efficientnet_cc_b1_8e	93.570	6.430	98.690	1.310	39.72	240	0.882	bicubic
356	eca_halonext26ts	93.560	6.440	98.680	1.320	10.76	256	0.940	bicubic
357	gluon_inception_v3	93.540	6.460	98.830	1.170	23.83	299	0.875	bicubic
358	gluon_resnet50_v1d	93.530	6.470	98.710	1.290	25.58	224	0.875	bicubic
359	dla102x	93.520	6.480	98.850	1.150	26.31	224	0.875	bilinear
360	res2net101_26w_4s	93.520	6.480	98.600	1.400	45.21	224	0.875	bilinear
361	coat_tiny	93.510	6.490	98.690	1.310	5.50	224	0.900	bicubic
362	gmlp_s16_224	93.510	6.490	98.780	1.220	19.42	224	0.875	bicubic
363	selecsls60b	93.500	6.500	98.840	1.160	32.77	224	0.875	bicubic
364	cait_xxs24_224	93.490	6.510	98.770	1.230	11.96	224	1.000	bicubic
365	xception41	93.480	6.520	98.750	1.250	26.97	299	0.903	bicubic
366	coat_lite_mini	93.460	6.540	98.780	1.220	11.01	224	0.900	bicubic
367	legacy_seresnet152	93.440	6.560	98.850	1.150	66.82	224	0.875	bilinear
368	resmlp_24_224	93.440	6.560	98.810	1.190	30.02	224	0.875	bicubic
369	botnet26t_256	93.430	6.570	98.660	1.340	12.49	256	0.950	bicubic
370	lambda_resnet26rpt_256	93.430	6.570	98.880	1.120	10.99	256	0.940	bicubic
371	legacy_seresnext50_32x4d	93.430	6.570	98.800	1.200	27.56	224	0.875	bilinear
372	vit_tiny_patch16_384	93.430	6.570	98.830	1.170	5.79	384	1.000	bicubic
373	res2net50_26w_8s	93.420	6.580	98.690	1.310	48.40	224	0.875	bilinear
374	repvgg_b1	93.410	6.590	98.790	1.210	57.42	224	0.875	bilinear
375	lambda_resnet26t	93.400	6.600	98.740	1.260	10.96	256	0.940	bicubic
376	hrnet_w30	93.390	6.610	98.830	1.170	37.71	224	0.875	bilinear
377	dla60_res2net	93.380	6.620	98.860	1.140	20.85	224	0.875	bilinear
378	eca_botnext26ts_256	93.360	6.640	98.700	1.300	10.59	256	0.950	bicubic
379	xcit_tiny_12_p16_224_dist	93.340	6.660	98.740	1.260	6.72	224	1.000	bicubic
380	xcit_nano_12_p8_384_dist	93.280	6.720	98.850	1.150	3.05	384	1.000	bicubic
381	mixnet_l	93.270	6.730	98.700	1.300	7.33	224	0.875	bicubic
382	legacy_seresnet101	93.270	6.730	98.740	1.260	49.33	224	0.875	bilinear
383	dla102	93.260	6.740	98.770	1.230	33.27	224	0.875	bilinear
384	regnetx_032	93.250	6.750	98.730	1.270	15.30	224	0.875	bicubic
385	pit_xs_distilled_224	93.240	6.760	98.830	1.170	11.00	224	0.900	bicubic
386	resnest26d	93.240	6.760	98.850	1.150	17.07	224	0.875	bilinear
387	tv_resnet152	93.240	6.760	98.750	1.250	60.19	224	0.875	bilinear
388	tf_inception_v3	93.200	6.800	98.480	1.520	23.83	299	0.875	bicubic
389	dla60x	93.190	6.810	98.710	1.290	17.35	224	0.875	bilinear
390	res2net50_26w_4s	93.180	6.820	98.670	1.330	25.70	224	0.875	bilinear
391	tf_efficientnet_em	93.180	6.820	98.670	1.330	6.90	240	0.882	bicubic
392	res2next50	93.140	6.860	98.650	1.350	24.67	224	0.875	bilinear
393	bat_resnext26ts	93.100	6.900	98.730	1.270	10.73	256	0.900	bicubic
394	tf_efficientnetv2_b0	93.060	6.940	98.700	1.300	7.14	224	0.875	bicubic
395	levit_128	93.040	6.960	98.680	1.320	9.21	224	0.900	bicubic
396	tf_mixnet_l	93.040	6.960	98.540	1.460	7.33	224	0.875	bicubic
397	repvgg_b1g4	93.030	6.970	98.820	1.180	39.97	224	0.875	bilinear
398	res2net50_14w_8s	93.030	6.970	98.700	1.300	25.06	224	0.875	bilinear
399	efficientnet_b1	93.030	6.970	98.710	1.290	7.79	256	1.000	bicubic
400	selecsls60	93.010	6.990	98.830	1.170	30.67	224	0.875	bicubic
401	adv_inception_v3	93.010	6.990	98.490	1.510	23.83	299	0.875	bicubic
402	regnety_016	93.000	7.000	98.680	1.320	11.20	224	0.875	bicubic
403	hardcorenas_f	92.980	7.020	98.620	1.380	8.20	224	0.875	bilinear
404	efficientnet_b1_pruned	92.970	7.030	98.520	1.480	6.33	240	0.882	bicubic
405	hardcorenas_e	92.950	7.050	98.570	1.430	8.07	224	0.875	bilinear
406	hrnet_w32	92.950	7.050	98.840	1.160	41.23	224	0.875	bilinear
407	gluon_resnet50_v1c	92.920	7.080	98.710	1.290	25.58	224	0.875	bicubic
408	efficientnet_es	92.920	7.080	98.690	1.310	5.44	224	0.875	bicubic
409	pit_xs_224	92.910	7.090	98.770	1.230	10.62	224	0.900	bicubic
410	tv_resnext50_32x4d	92.910	7.090	98.720	1.280	25.03	224	0.875	bilinear
411	inception_v3	92.900	7.100	98.330	1.670	23.83	299	0.875	bicubic
412	densenet161	92.890	7.110	98.810	1.190	28.68	224	0.875	bicubic
413	tv_resnet101	92.880	7.120	98.660	1.340	44.55	224	0.875	bilinear
414	resmlp_12_distilled_224	92.870	7.130	98.620	1.380	15.35	224	0.875	bicubic
415	tf_efficientnet_cc_b0_8e	92.870	7.130	98.460	1.540	24.01	224	0.875	bicubic
416	coat_lite_tiny	92.860	7.140	98.630	1.370	5.72	224	0.900	bicubic
417	rexnet_100	92.840	7.160	98.620	1.380	4.80	224	0.875	bicubic
418	tf_efficientnet_cc_b0_4e	92.840	7.160	98.440	1.560	13.31	224	0.875	bicubic
419	seresnext26t_32x4d	92.820	7.180	98.560	1.440	16.81	224	0.875	bicubic
420	seresnext26ts	92.810	7.190	98.600	1.400	10.39	256	0.900	bicubic
421	res2net50_48w_2s	92.790	7.210	98.480	1.520	25.29	224	0.875	bilinear
422	tinynet_a	92.790	7.210	98.560	1.440	6.19	192	0.875	bicubic
423	crossvit_9_dagger_240	92.750	7.250	98.510	1.490	8.78	240	0.875	bicubic
424	hrnet_w18	92.750	7.250	98.660	1.340	21.30	224	0.875	bilinear
425	densenet201	92.690	7.310	98.650	1.350	20.01	224	0.875	bicubic
426	gmixer_24_224	92.680	7.320	98.280	1.720	24.72	224	0.875	bicubic
427	repvgg_a2	92.680	7.320	98.520	1.480	28.21	224	0.875	bilinear
428	dla60	92.670	7.330	98.630	1.370	22.04	224	0.875	bilinear
429	legacy_seresnet50	92.670	7.330	98.650	1.350	28.09	224	0.875	bilinear
430	resnet26t	92.670	7.330	98.580	1.420	16.01	256	0.940	bicubic
431	resnet34d	92.640	7.360	98.420	1.580	21.82	224	0.875	bicubic
432	mobilenetv2_120d	92.610	7.390	98.500	1.500	5.83	224	0.875	bicubic
433	tf_efficientnet_b0_ap	92.610	7.390	98.370	1.630	5.29	224	0.875	bicubic
434	hardcorenas_d	92.600	7.400	98.430	1.570	7.50	224	0.875	bilinear
435	legacy_seresnext26_32x4d	92.580	7.420	98.410	1.590	16.79	224	0.875	bicubic
436	tf_efficientnet_lite2	92.580	7.420	98.550	1.450	6.09	260	0.890	bicubic
437	skresnet34	92.570	7.430	98.520	1.480	22.28	224	0.875	bicubic
438	gluon_resnet50_v1b	92.560	7.440	98.550	1.450	25.56	224	0.875	bicubic
439	regnetx_016	92.540	7.460	98.550	1.450	9.19	224	0.875	bicubic
440	efficientnet_b0	92.480	7.520	98.680	1.320	5.29	224	0.875	bicubic
441	selecsls42b	92.480	7.520	98.440	1.560	32.46	224	0.875	bicubic
442	gcresnext26ts	92.470	7.530	98.490	1.510	10.48	256	0.900	bicubic
443	xcit_tiny_12_p16_224	92.460	7.540	98.630	1.370	6.72	224	1.000	bicubic
444	gernet_s	92.440	7.560	98.500	1.500	8.17	224	0.875	bilinear
445	seresnext26d_32x4d	92.430	7.570	98.540	1.460	16.81	224	0.875	bicubic
446	xcit_nano_12_p8_224_dist	92.420	7.580	98.530	1.470	3.05	224	1.000	bicubic
447	eca_resnext26ts	92.410	7.590	98.620	1.380	10.30	256	0.900	bicubic
448	densenetblur121d	92.400	7.600	98.410	1.590	8.00	224	0.875	bicubic
449	tf_efficientnet_b0	92.400	7.600	98.470	1.530	5.29	224	0.875	bicubic
450	convmixer_1024_20_ks9_p14	92.350	7.650	98.420	1.580	24.38	224	0.960	bicubic
451	hardcorenas_c	92.330	7.670	98.350	1.650	5.52	224	0.875	bilinear
452	tf_efficientnet_lite1	92.310	7.690	98.490	1.510	5.42	240	0.882	bicubic
453	densenet169	92.290	7.710	98.590	1.410	14.15	224	0.875	bicubic
454	mixnet_m	92.270	7.730	98.350	1.650	5.01	224	0.875	bicubic
455	dpn68	92.260	7.740	98.610	1.390	12.61	224	0.875	bicubic
456	mobilenetv3_large_100_miil	92.250	7.750	98.250	1.750	5.48	224	0.875	bilinear
457	resnet26d	92.250	7.750	98.450	1.550	16.01	224	0.875	bicubic
458	resnext26ts	92.220	7.780	98.250	1.750	10.30	256	0.900	bicubic
459	tf_mixnet_m	92.200	7.800	98.420	1.580	5.01	224	0.875	bicubic
460	vit_small_patch32_224	92.160	7.840	98.510	1.490	22.88	224	0.900	bicubic
461	resmlp_12_224	92.120	7.880	98.570	1.430	15.35	224	0.875	bicubic
462	tv_resnet50	92.120	7.880	98.420	1.580	25.56	224	0.875	bilinear
463	xcit_nano_12_p16_384_dist	92.110	7.890	98.520	1.480	3.05	384	1.000	bicubic
464	tf_efficientnet_es	92.100	7.900	98.430	1.570	5.44	224	0.875	bicubic
465	mobilenetv2_140	92.050	7.950	98.250	1.750	6.11	224	0.875	bicubic
466	ese_vovnet19b_dw	92.010	7.990	98.510	1.490	6.54	224	0.875	bicubic
467	densenet121	91.940	8.060	98.280	1.720	7.98	224	0.875	bicubic
468	hardcorenas_b	91.930	8.070	98.400	1.600	5.18	224	0.875	bilinear
469	regnety_008	91.910	8.090	98.420	1.580	6.26	224	0.875	bicubic
470	vit_tiny_patch16_224	91.910	8.090	98.340	1.660	5.72	224	0.900	bicubic
471	mixnet_s	91.780	8.220	98.300	1.700	4.13	224	0.875	bicubic
472	vit_tiny_r_s16_p8_384	91.730	8.270	98.430	1.570	6.36	384	1.000	bicubic
473	efficientnet_es_pruned	91.710	8.290	98.410	1.590	5.44	224	0.875	bicubic
474	repvgg_b0	91.680	8.320	98.450	1.550	15.82	224	0.875	bilinear
475	tf_mixnet_s	91.680	8.320	98.240	1.760	4.13	224	0.875	bicubic
476	semnasnet_100	91.660	8.340	98.270	1.730	3.89	224	0.875	bicubic
477	hardcorenas_a	91.620	8.380	98.170	1.830	5.26	224	0.875	bilinear
478	regnety_006	91.560	8.440	98.430	1.570	6.06	224	0.875	bicubic
479	mobilenetv3_rw	91.540	8.460	98.270	1.730	5.48	224	0.875	bicubic
480	levit_128s	91.500	8.500	98.400	1.600	7.78	224	0.900	bicubic
481	legacy_seresnet34	91.480	8.520	98.200	1.800	21.96	224	0.875	bilinear
482	mobilenetv3_large_100	91.480	8.520	98.320	1.680	5.48	224	0.875	bicubic
483	resnet26	91.450	8.550	98.270	1.730	16.00	224	0.875	bicubic
484	tf_mobilenetv3_large_100	91.420	8.580	98.260	1.740	5.48	224	0.875	bilinear
485	tv_densenet121	91.410	8.590	98.250	1.750	7.98	224	0.875	bicubic
486	mobilenetv2_110d	91.350	8.650	98.190	1.810	4.52	224	0.875	bicubic
487	tf_efficientnet_lite0	91.300	8.700	98.090	1.910	4.65	224	0.875	bicubic
488	fbnetc_100	91.260	8.740	97.830	2.170	5.57	224	0.875	bilinear
489	efficientnet_lite0	91.250	8.750	98.250	1.750	4.65	224	0.875	bicubic
490	dla34	91.230	8.770	98.180	1.820	15.74	224	0.875	bilinear
491	mnasnet_100	91.200	8.800	98.050	1.950	4.38	224	0.875	bicubic
492	resnet34	91.200	8.800	98.240	1.760	21.80	224	0.875	bilinear
493	hrnet_w18_small_v2	91.170	8.830	98.340	1.660	15.60	224	0.875	bilinear
494	regnetx_008	91.160	8.840	98.380	1.620	7.26	224	0.875	bicubic
495	mixer_b16_224	91.140	8.860	97.400	2.600	59.88	224	0.875	bicubic
496	tinynet_b	91.130	8.870	98.070	1.930	3.73	188	0.875	bicubic
497	resnest14d	91.120	8.880	98.330	1.670	10.61	224	0.875	bilinear
498	xcit_nano_12_p8_224	91.120	8.880	98.240	1.760	3.05	224	1.000	bicubic
499	deit_tiny_distilled_patch16_224	91.110	8.890	98.270	1.730	5.91	224	0.900	bicubic
500	gluon_resnet34_v1b	91.100	8.900	98.180	1.820	21.80	224	0.875	bicubic
501	swsl_resnet18	91.080	8.920	98.210	1.790	11.69	224	0.875	bilinear
502	crossvit_9_240	91.050	8.950	98.310	1.690	8.55	240	0.875	bicubic
503	vgg19_bn	90.990	9.010	98.110	1.890	143.68	224	0.875	bilinear
504	pit_ti_distilled_224	90.900	9.100	98.220	1.780	5.10	224	0.900	bicubic
505	regnetx_006	90.770	9.230	98.100	1.900	6.20	224	0.875	bicubic
506	regnety_004	90.770	9.230	98.080	1.920	4.34	224	0.875	bicubic
507	ssl_resnet18	90.700	9.300	98.030	1.970	11.69	224	0.875	bilinear
508	spnasnet_100	90.600	9.400	97.950	2.050	4.42	224	0.875	bilinear
509	convit_tiny	90.550	9.450	98.220	1.780	5.71	224	0.875	bicubic
510	crossvit_tiny_240	90.540	9.460	97.950	2.050	7.01	240	0.875	bicubic
511	vgg16_bn	90.540	9.460	97.990	2.010	138.37	224	0.875	bilinear
512	ghostnet_100	90.440	9.560	97.830	2.170	5.18	224	0.875	bilinear
513	pit_ti_224	90.440	9.560	98.010	1.990	4.85	224	0.900	bicubic
514	tf_mobilenetv3_large_075	90.320	9.680	97.870	2.130	3.99	224	0.875	bilinear
515	tv_resnet34	90.290	9.710	97.980	2.020	21.80	224	0.875	bilinear
516	semnasnet_075	90.200	9.800	97.970	2.030	2.91	224	0.875	bicubic
517	skresnet18	90.170	9.830	97.780	2.220	11.96	224	0.875	bicubic
518	xcit_nano_12_p16_224_dist	90.170	9.830	97.760	2.240	3.05	224	1.000	bicubic
519	resnet18d	89.990	10.010	97.830	2.170	11.71	224	0.875	bicubic
520	hrnet_w18_small	89.880	10.120	97.900	2.100	13.19	224	0.875	bilinear
521	vit_base_patch32_sam_224	89.860	10.140	97.600	2.400	88.22	224	0.900	bicubic
522	mobilenetv2_100	89.830	10.170	97.830	2.170	3.50	224	0.875	bicubic
523	vgg19	89.680	10.320	97.550	2.450	143.67	224	0.875	bilinear
524	deit_tiny_patch16_224	89.620	10.380	97.960	2.040	5.72	224	0.900	bicubic
525	regnetx_004	89.470	10.530	97.770	2.230	5.16	224	0.875	bicubic
526	vgg16	89.360	10.640	97.520	2.480	138.36	224	0.875	bilinear
527	vit_tiny_r_s16_p8_224	89.350	10.650	97.700	2.300	6.34	224	0.900	bicubic
528	legacy_seresnet18	89.260	10.740	97.680	2.320	11.78	224	0.875	bicubic
529	vgg13_bn	89.200	10.800	97.520	2.480	133.05	224	0.875	bilinear
530	tf_mobilenetv3_large_minimal_100	89.170	10.830	97.320	2.680	3.92	224	0.875	bilinear
531	xcit_nano_12_p16_224	88.970	11.030	97.390	2.610	3.05	224	1.000	bicubic
532	lcnet_100	88.950	11.050	97.380	2.620	2.95	224	0.875	bicubic
533	gluon_resnet18_v1b	88.660	11.340	97.100	2.900	11.69	224	0.875	bicubic
534	tinynet_c	88.420	11.580	97.260	2.740	2.46	184	0.875	bicubic
535	vgg11_bn	88.390	11.610	97.270	2.730	132.87	224	0.875	bilinear
536	regnety_002	88.190	11.810	97.420	2.580	3.16	224	0.875	bicubic
537	resnet18	88.150	11.850	97.120	2.880	11.69	224	0.875	bilinear
538	vgg13	87.570	12.430	97.120	2.880	133.05	224	0.875	bilinear
539	regnetx_002	87.380	12.620	96.990	3.010	2.68	224	0.875	bicubic
540	vgg11	87.340	12.660	97.110	2.890	132.86	224	0.875	bilinear
541	dla60x_c	87.110	12.890	97.140	2.860	1.32	224	0.875	bilinear
542	mixer_l16_224	86.970	13.030	94.040	5.960	208.20	224	0.875	bicubic
543	lcnet_075	86.940	13.060	96.530	3.470	2.36	224	0.875	bicubic
544	tf_mobilenetv3_small_100	85.970	14.030	96.410	3.590	2.54	224	0.875	bilinear
545	dla46x_c	85.480	14.520	96.440	3.560	1.07	224	0.875	bilinear
546	tinynet_d	85.430	14.570	96.020	3.980	2.34	152	0.875	bicubic
547	mobilenetv2_050	84.990	15.010	95.620	4.380	1.97	224	0.875	bicubic
548	mnasnet_small	84.920	15.080	95.930	4.070	2.03	224	0.875	bicubic
549	dla46_c	84.670	15.330	96.200	3.800	1.30	224	0.875	bilinear
550	tf_mobilenetv3_small_075	84.530	15.470	95.890	4.110	2.04	224	0.875	bilinear
551	lcnet_050	83.000	17.000	95.020	4.980	1.88	224	0.875	bicubic
552	tf_mobilenetv3_small_minimal_100	82.680	17.320	95.010	4.990	2.04	224	0.875	bilinear
553	tinynet_e	79.800	20.200	93.980	6.020	2.04	106	0.875	bicubic