pytorch-image-models/results/results-imagenetv2-matched-frequency.csv

1	model	top1	top1_err	top5	top5_err	param_count	img_size	cropt_pct	interpolation	top1_diff	top5_diff	rank_diff
2	tf_efficientnet_l2_ns_475	80.460	19.540	95.730	4.270	480.31	475	0.936	bicubic	-7.774	-2.816	+1
3	tf_efficientnet_l2_ns	80.250	19.750	95.840	4.160	480.31	800	0.960	bicubic	-8.102	-2.810	-1
4	tf_efficientnet_b7_ns	78.510	21.490	94.380	5.620	66.35	600	0.949	bicubic	-8.330	-3.714	+1
5	tf_efficientnet_b6_ns	77.280	22.720	93.890	6.110	43.04	528	0.942	bicubic	-9.172	-3.992	+2
6	swin_large_patch4_window12_384	77.040	22.960	93.750	6.250	196.74	384	1.000	bicubic	-10.108	-4.484	-2
7	tf_efficientnetv2_l_in21ft1k	76.940	23.060	93.950	6.050	118.52	480	1.000	bicubic	-9.364	-4.028	+3
8	cait_m48_448	76.870	23.130	93.370	6.630	356.46	448	1.000	bicubic	-9.614	-4.384	-2
9	ig_resnext101_32x48d	76.870	23.130	93.310	6.690	828.41	224	0.875	bilinear	-8.558	-4.262	+11
10	ig_resnext101_32x32d	76.840	23.160	93.200	6.800	468.53	224	0.875	bilinear	-8.254	-4.238	+18
11	tf_efficientnet_b5_ns	76.810	23.190	93.580	6.420	30.39	456	0.934	bicubic	-9.278	-4.172	+1
12	cait_m36_384	76.320	23.680	93.050	6.950	271.22	384	1.000	bicubic	-9.734	-4.680	+1
13	tf_efficientnetv2_l	76.280	23.720	92.970	7.030	118.52	480	1.000	bicubic	-9.210	-4.402	+4
14	swin_base_patch4_window12_384	76.280	23.720	93.320	6.680	87.90	384	1.000	bicubic	-10.152	-4.738	-5
15	swin_large_patch4_window7_224	76.270	23.730	93.420	6.580	196.53	224	0.900	bicubic	-10.050	-4.476	-6
16	cait_s36_384	76.210	23.790	92.970	7.030	68.37	384	1.000	bicubic	-9.250	-4.510	+3
17	dm_nfnet_f6	76.180	23.820	93.220	6.780	438.36	576	0.956	bicubic	-10.116	-4.524	-6
18	tf_efficientnet_b7_ap	76.090	23.910	92.970	7.030	66.35	600	0.949	bicubic	-9.030	-4.282	+9
19	tf_efficientnet_b8_ap	76.090	23.910	92.730	7.270	87.41	672	0.954	bicubic	-9.280	-4.564	+4
20	tf_efficientnetv2_m_in21ft1k	75.920	24.080	93.280	6.720	54.14	480	1.000	bicubic	-9.668	-4.472	-4
21	dm_nfnet_f4	75.750	24.250	92.790	7.210	316.07	512	0.951	bicubic	-9.908	-4.720	-6
22	ig_resnext101_32x16d	75.720	24.280	92.910	7.090	194.03	224	0.875	bilinear	-8.450	-4.286	+29
23	tf_efficientnet_b4_ns	75.670	24.330	93.050	6.950	19.34	380	0.922	bicubic	-9.492	-4.420	+2
24	vit_base_r50_s16_384	75.590	24.410	92.790	7.210	98.95	384	1.000	bicubic	-9.382	-4.498	+10
25	vit_deit_base_distilled_patch16_384	75.550	24.450	92.500	7.500	87.63	384	1.000	bicubic	-9.872	-4.832	-4
26	tf_efficientnetv2_m	75.520	24.480	92.620	7.380	54.14	480	1.000	bicubic	-9.524	-4.658	+4
27	cait_s24_384	75.480	24.520	92.600	7.400	47.06	384	1.000	bicubic	-9.566	-4.746	+2
28	swsl_resnext101_32x8d	75.430	24.570	92.760	7.240	88.79	224	0.875	bilinear	-8.854	-4.416	+19
29	dm_nfnet_f3	75.410	24.590	92.830	7.170	254.92	416	0.940	bicubic	-10.150	-4.576	-12
30	tf_efficientnet_b6_ap	75.380	24.620	92.440	7.560	43.04	528	0.942	bicubic	-9.408	-4.698	+8
31	efficientnetv2_rw_m	75.170	24.830	92.570	7.430	53.24	416	1.000	bicubic	-9.638	-4.578	+6
32	vit_large_patch16_384	75.150	24.850	92.660	7.340	304.72	384	1.000	bicubic	-10.008	-4.696	-6
33	ecaresnet269d	75.120	24.880	92.840	7.160	102.09	352	1.000	bicubic	-9.856	-4.386	0
34	tf_efficientnet_b8	74.940	25.060	92.310	7.690	87.41	672	0.954	bicubic	-10.430	-5.080	-12
35	dm_nfnet_f5	74.790	25.210	92.460	7.540	377.21	544	0.954	bicubic	-10.924	-4.982	-21
36	tf_efficientnet_b7	74.720	25.280	92.220	7.780	66.35	600	0.949	bicubic	-10.216	-4.984	-1
37	tf_efficientnet_b5_ap	74.600	25.400	91.990	8.010	30.39	456	0.934	bicubic	-9.652	-4.984	+12
38	swin_base_patch4_window7_224	74.570	25.430	92.560	7.440	87.77	224	0.900	bicubic	-10.682	-5.002	-14
39	seresnet152d	74.510	25.490	92.080	7.920	66.84	320	1.000	bicubic	-9.852	-4.960	+6
40	resnest200e	74.480	25.520	91.860	8.140	70.20	320	0.909	bicubic	-9.352	-5.034	+20
41	dm_nfnet_f2	74.450	25.550	92.230	7.770	193.78	352	0.920	bicubic	-10.540	-4.914	-9
42	tf_efficientnetv2_s_in21ft1k	74.450	25.550	92.510	7.490	21.46	384	1.000	bicubic	-9.852	-4.742	+4
43	dm_nfnet_f1	74.400	25.600	92.350	7.650	132.63	320	0.910	bicubic	-10.204	-4.718	-3
44	efficientnetv2_rw_s	74.170	25.830	91.710	8.290	23.94	384	1.000	bicubic	-9.638	-5.014	+18
45	resnest269e	74.170	25.830	91.950	8.050	110.93	416	0.928	bicubic	-10.348	-5.036	-4
46	cait_xs24_384	74.160	25.840	91.910	8.090	26.67	384	1.000	bicubic	-9.902	-4.978	+9
47	pit_b_distilled_224	74.160	25.840	91.680	8.320	74.79	224	0.900	bicubic	-9.984	-5.176	+5
48	swsl_resnext101_32x4d	74.140	25.860	91.990	8.010	44.18	224	0.875	bilinear	-9.090	-4.770	+26
49	vit_base_patch16_384	74.130	25.870	92.360	7.640	86.86	384	1.000	bicubic	-10.080	-4.858	+1
50	eca_nfnet_l1	74.060	25.940	92.120	7.880	41.41	320	1.000	bicubic	-9.948	-4.908	+7
51	vit_base_patch16_224_miil	74.040	25.960	91.700	8.300	86.54	224	0.875	bilinear	-10.228	-5.102	-3
52	swsl_resnext101_32x16d	74.020	25.980	92.160	7.840	194.03	224	0.875	bilinear	-9.326	-4.686	+19
53	tf_efficientnetv2_s	74.000	26.000	91.530	8.470	21.46	384	1.000	bicubic	-9.894	-5.168	+5
54	resnetv2_152x4_bitm	74.000	26.000	92.340	7.660	936.53	480	1.000	bilinear	-10.932	-5.096	-17
55	resnetrs420	73.920	26.080	91.760	8.240	191.89	416	1.000	bicubic	-11.088	-5.364	-24
56	tf_efficientnet_b6	73.900	26.100	91.750	8.250	43.04	528	0.942	bicubic	-10.210	-5.136	-3
57	tf_efficientnet_b3_ns	73.890	26.110	91.870	8.130	12.23	300	0.904	bicubic	-10.158	-5.040	-1
58	resnetrs270	73.710	26.290	91.580	8.420	129.86	352	1.000	bicubic	-10.724	-5.390	-15
59	resnet200d	73.680	26.320	91.570	8.430	64.69	320	1.000	bicubic	-10.282	-5.254	-1
60	ig_resnext101_32x8d	73.650	26.350	92.190	7.810	88.79	224	0.875	bilinear	-9.038	-4.446	+29
61	resnetv2_152x2_bitm	73.630	26.370	92.590	7.410	236.34	480	1.000	bilinear	-10.810	-4.856	-19
62	tf_efficientnet_b5	73.550	26.450	91.460	8.540	30.39	456	0.934	bicubic	-10.262	-5.288	-1
63	resnetv2_101x3_bitm	73.530	26.470	92.570	7.430	387.93	480	1.000	bilinear	-10.864	-4.792	-19
64	resnet152d	73.520	26.480	91.230	8.770	60.21	320	1.000	bicubic	-10.160	-5.508	+2
65	resnetrs200	73.500	26.500	91.250	8.750	93.21	320	1.000	bicubic	-10.566	-5.624	-11
66	resnetrs350	73.400	26.600	91.310	8.690	163.96	384	1.000	bicubic	-11.320	-5.678	-27
67	twins_svt_large	73.390	26.610	90.910	9.090	99.27	224	0.900	bicubic	-10.288	-5.684	0
68	regnety_160	73.360	26.640	91.690	8.310	83.59	288	1.000	bicubic	-10.326	-5.086	-3
69	efficientnet_b4	73.320	26.680	91.280	8.720	19.34	384	1.000	bicubic	-10.108	-5.316	0
70	vit_deit_base_distilled_patch16_224	73.240	26.760	91.000	9.000	87.34	224	0.900	bicubic	-10.148	-5.488	0
71	resnetrs152	73.200	26.800	91.260	8.740	86.62	320	1.000	bicubic	-10.512	-5.354	-7
72	cait_s24_224	73.070	26.930	91.130	8.870	46.92	224	1.000	bicubic	-10.382	-5.434	-4
73	tf_efficientnet_b4_ap	72.890	27.110	90.980	9.020	19.34	380	0.922	bicubic	-10.358	-5.412	0
74	dm_nfnet_f0	72.790	27.210	91.040	8.960	71.49	256	0.900	bicubic	-10.552	-5.520	-2
75	regnety_032	72.770	27.230	90.950	9.050	19.44	288	1.000	bicubic	-9.954	-5.474	+12
76	pnasnet5large	72.610	27.390	90.510	9.490	86.06	331	0.911	bicubic	-10.172	-5.530	+8
77	nfnet_l0	72.610	27.390	91.010	8.990	35.07	288	1.000	bicubic	-10.150	-5.488	+10
78	twins_pcpvt_large	72.580	27.420	90.700	9.300	60.99	224	0.900	bicubic	-10.560	-5.898	-2
79	resnest101e	72.570	27.430	90.820	9.180	48.28	256	0.875	bilinear	-10.320	-5.500	+5
80	swsl_resnext50_32x4d	72.560	27.440	90.870	9.130	25.03	224	0.875	bilinear	-9.622	-5.360	+25
81	tresnet_xl_448	72.550	27.450	90.310	9.690	78.44	448	0.875	bilinear	-10.500	-5.864	0
82	twins_svt_base	72.550	27.450	90.460	9.540	56.07	224	0.900	bicubic	-10.586	-5.958	-5
83	vit_deit_base_patch16_384	72.530	27.470	90.250	9.750	86.86	384	1.000	bicubic	-10.576	-6.122	-5
84	resnet101d	72.410	27.590	90.650	9.350	44.57	320	1.000	bicubic	-10.612	-5.796	-2
85	tf_efficientnet_b4	72.290	27.710	90.590	9.410	19.34	380	0.922	bicubic	-10.732	-5.710	-2
86	tf_efficientnet_b2_ns	72.280	27.720	91.090	8.910	9.11	260	0.890	bicubic	-10.100	-5.158	+8
87	tresnet_m	72.270	27.730	90.240	9.760	31.39	224	0.875	bilinear	-10.810	-5.878	-8
88	vit_large_patch16_224	72.250	27.750	90.990	9.010	304.33	224	0.900	bicubic	-10.812	-5.448	-8
89	nasnetalarge	72.230	27.770	90.470	9.530	88.75	331	0.911	bicubic	-10.390	-5.576	+1
90	cait_xxs36_384	72.190	27.810	90.840	9.160	17.37	384	1.000	bicubic	-10.004	-5.308	+14
91	resnetv2_50x3_bitm	72.180	27.820	91.790	8.210	217.32	480	1.000	bilinear	-11.604	-5.316	-28
92	twins_pcpvt_base	72.180	27.820	90.510	9.490	43.83	224	0.900	bicubic	-10.528	-5.836	-4
93	eca_nfnet_l0	71.850	28.150	91.130	8.870	24.14	288	1.000	bicubic	-10.738	-5.344	-2
94	swin_small_patch4_window7_224	71.740	28.260	90.240	9.760	49.61	224	0.900	bicubic	-11.472	-6.082	-19
95	pit_b_224	71.700	28.300	89.250	10.750	73.76	224	0.900	bicubic	-10.746	-6.460	-2
96	swsl_resnet50	71.700	28.300	90.500	9.500	25.56	224	0.875	bilinear	-9.466	-5.472	+41
97	tresnet_xl	71.660	28.340	89.630	10.370	78.44	224	0.875	bilinear	-10.394	-6.306	+11
98	convit_base	71.600	28.400	90.150	9.850	86.54	224	0.875	bicubic	-10.690	-5.788	+1
99	tresnet_l_448	71.600	28.400	90.050	9.950	55.99	448	0.875	bilinear	-10.668	-5.926	+2
100	ssl_resnext101_32x8d	71.500	28.500	90.460	9.540	88.79	224	0.875	bilinear	-10.116	-5.578	+20
101	ecaresnet101d	71.490	28.510	90.330	9.670	44.57	224	0.875	bicubic	-10.682	-5.716	+5
102	efficientnet_b3	71.480	28.520	90.060	9.940	12.23	320	1.000	bicubic	-10.762	-6.054	0
103	resnet51q	71.430	28.570	90.180	9.820	35.70	288	1.000	bilinear	-10.930	-6.000	-8
104	ssl_resnext101_32x16d	71.410	28.590	90.560	9.440	194.03	224	0.875	bilinear	-10.434	-5.536	+8
105	pit_s_distilled_224	71.380	28.620	89.780	10.220	24.04	224	0.900	bicubic	-10.616	-6.018	+5
106	vit_base_patch16_224	71.330	28.670	90.460	9.540	86.57	224	0.900	bicubic	-10.456	-5.662	+8
107	mixer_b16_224_miil	71.300	28.700	89.650	10.350	59.88	224	0.875	bilinear	-11.008	-6.066	-9
108	ecaresnet50t	71.280	28.720	90.420	9.580	25.57	320	0.950	bicubic	-11.066	-5.718	-12
109	vit_base_patch32_384	71.180	28.820	90.630	9.370	88.30	384	1.000	bicubic	-10.472	-5.498	+8
110	vit_deit_base_patch16_224	71.170	28.830	89.200	10.800	86.57	224	0.900	bicubic	-10.828	-6.534	-1
111	visformer_small	71.010	28.990	89.460	10.540	40.22	224	0.900	bicubic	-11.096	-6.412	-4
112	tresnet_m_448	70.990	29.010	88.680	11.320	31.39	448	0.875	bilinear	-10.724	-6.892	+3
113	wide_resnet50_2	70.950	29.050	89.230	10.770	68.88	224	0.875	bicubic	-10.506	-6.302	+12
114	resnest50d_4s2x40d	70.950	29.050	89.710	10.290	30.42	224	0.875	bicubic	-10.158	-5.848	+25
115	tnt_s_patch16_224	70.930	29.070	89.600	10.400	23.76	224	0.900	bicubic	-10.588	-6.148	+7
116	tf_efficientnet_b3_ap	70.920	29.080	89.430	10.570	12.23	300	0.904	bicubic	-10.902	-6.194	-3
117	tf_efficientnet_b1_ns	70.870	29.130	90.120	9.880	7.79	240	0.882	bicubic	-10.518	-5.618	+11
118	vit_large_patch32_384	70.860	29.140	90.570	9.430	306.63	384	1.000	bicubic	-10.646	-5.522	+6
119	resnetrs101	70.840	29.160	89.830	10.170	63.62	288	0.940	bicubic	-11.448	-6.178	-19
120	rexnet_200	70.840	29.160	89.700	10.300	16.37	224	0.875	bicubic	-10.792	-5.968	-1
121	tresnet_l	70.840	29.160	89.630	10.370	55.99	224	0.875	bilinear	-10.650	-5.994	+4
122	tf_efficientnetv2_b3	70.830	29.170	89.500	10.500	14.36	300	0.904	bicubic	-11.140	-6.282	-11
123	coat_lite_small	70.800	29.200	89.570	10.430	19.84	224	0.900	bicubic	-11.508	-6.280	-26
124	levit_384	70.750	29.250	89.300	10.700	39.13	224	0.900	bicubic	-11.836	-6.716	-32
125	resnetv2_101x1_bitm	70.710	29.290	90.800	9.200	44.54	480	1.000	bilinear	-11.502	-5.672	-22
126	tf_efficientnet_b3	70.640	29.360	89.440	10.560	12.23	300	0.904	bicubic	-10.996	-6.278	-8
127	gluon_senet154	70.600	29.400	88.920	11.080	115.09	224	0.875	bicubic	-10.634	-6.428	+7
128	cait_xxs24_384	70.600	29.400	89.720	10.280	12.03	384	1.000	bicubic	-10.366	-5.926	+17
129	convit_small	70.580	29.420	89.580	10.420	27.78	224	0.875	bicubic	-10.846	-6.164	-2
130	twins_pcpvt_small	70.550	29.450	89.070	10.930	24.11	224	0.900	bicubic	-10.538	-6.572	+10
131	ssl_resnext101_32x4d	70.530	29.470	89.760	10.240	44.18	224	0.875	bilinear	-10.394	-5.968	+14
132	vit_deit_small_distilled_patch16_224	70.520	29.480	89.470	10.530	22.44	224	0.900	bicubic	-10.680	-5.908	+4
133	legacy_senet154	70.500	29.500	89.010	10.990	115.09	224	0.875	bilinear	-10.810	-6.486	-1
134	twins_svt_small	70.440	29.560	89.360	10.640	24.06	224	0.900	bicubic	-11.242	-6.310	-18
135	gluon_seresnext101_64x4d	70.430	29.570	89.350	10.650	88.23	224	0.875	bicubic	-10.464	-5.958	+12
136	tf_efficientnet_lite4	70.430	29.570	89.110	10.890	13.01	380	0.920	bilinear	-11.106	-6.558	-15
137	resnest50d	70.410	29.590	88.760	11.240	27.48	224	0.875	bilinear	-10.564	-6.618	+6
138	seresnext50_32x4d	70.400	29.600	89.110	10.890	27.56	224	0.875	bicubic	-10.866	-6.510	-5
139	resnest50d_1s4x24d	70.400	29.600	89.220	10.780	25.68	224	0.875	bicubic	-10.588	-6.102	+4
140	gernet_l	70.350	29.650	88.980	11.020	31.08	256	0.875	bilinear	-11.004	-6.556	-10
141	gluon_resnet152_v1s	70.290	29.710	88.850	11.150	60.32	224	0.875	bicubic	-10.726	-6.562	0
142	repvgg_b3	70.250	29.750	88.730	11.270	123.09	224	0.875	bilinear	-10.242	-6.530	+15
143	coat_mini	70.220	29.780	89.440	10.560	10.34	224	0.900	bicubic	-11.048	-5.952	-10
144	ecaresnet101d_pruned	70.130	29.870	89.590	10.410	24.88	224	0.875	bicubic	-10.688	-6.038	+5
145	efficientnet_el	70.120	29.880	89.290	10.710	10.59	300	0.904	bicubic	-11.196	-6.236	-14
146	inception_resnet_v2	70.120	29.880	88.700	11.300	55.84	299	0.897	bicubic	-10.338	-6.606	+15
147	gluon_seresnext101_32x4d	70.010	29.990	88.900	11.100	48.96	224	0.875	bicubic	-10.894	-6.394	-1
148	regnety_320	70.000	30.000	88.890	11.110	145.05	224	0.875	bicubic	-10.812	-6.354	+2
149	levit_256	69.970	30.030	89.250	10.750	18.89	224	0.900	bicubic	-11.540	-6.240	-26
150	gluon_resnet152_v1d	69.960	30.040	88.490	11.510	60.21	224	0.875	bicubic	-10.514	-6.716	+9
151	pit_s_224	69.890	30.110	88.930	11.070	23.46	224	0.900	bicubic	-11.204	-6.402	-12
152	ecaresnet50d	69.840	30.160	89.400	10.600	25.58	224	0.875	bicubic	-10.752	-5.920	+3
153	ssl_resnext50_32x4d	69.710	30.290	89.440	10.560	25.03	224	0.875	bilinear	-10.608	-5.966	+12
154	gluon_resnext101_64x4d	69.680	30.320	88.270	11.730	83.46	224	0.875	bicubic	-10.924	-6.718	0
155	efficientnet_b3_pruned	69.580	30.420	88.980	11.020	9.86	300	0.904	bicubic	-11.278	-6.262	-7
156	nf_resnet50	69.580	30.420	88.730	11.270	25.56	288	0.940	bicubic	-11.114	-6.626	-4
157	gernet_m	69.530	30.470	88.690	11.310	21.14	224	0.875	bilinear	-11.202	-6.494	-6
158	efficientnet_el_pruned	69.520	30.480	88.930	11.070	10.59	300	0.904	bicubic	-10.780	-6.288	+10
159	ens_adv_inception_resnet_v2	69.520	30.480	88.510	11.490	55.84	299	0.897	bicubic	-10.462	-6.426	+25
160	repvgg_b3g4	69.520	30.480	88.450	11.550	83.83	224	0.875	bilinear	-10.694	-6.660	+14
161	efficientnet_b2	69.500	30.500	88.680	11.320	9.11	288	1.000	bicubic	-11.112	-6.638	-8
162	rexnet_150	69.470	30.530	88.980	11.020	9.73	224	0.875	bicubic	-10.840	-6.186	+4
163	swin_tiny_patch4_window7_224	69.450	30.550	89.020	10.980	28.29	224	0.900	bicubic	-11.928	-6.520	-34
164	regnetx_320	69.440	30.560	88.270	11.730	107.81	224	0.875	bicubic	-10.806	-6.756	+8
165	inception_v4	69.360	30.640	88.780	11.220	42.68	299	0.875	bicubic	-10.808	-6.188	+12
166	legacy_seresnext101_32x4d	69.360	30.640	88.070	11.930	48.96	224	0.875	bilinear	-10.868	-6.948	+7
167	ecaresnetlight	69.340	30.660	89.220	10.780	30.16	224	0.875	bicubic	-11.122	-6.030	-7
168	resnet50d	69.330	30.670	88.220	11.780	25.58	224	0.875	bicubic	-11.200	-6.940	-12
169	xception71	69.320	30.680	88.260	11.740	42.34	299	0.903	bicubic	-10.554	-6.662	+21
170	gluon_xception65	69.160	30.840	88.090	11.910	39.92	299	0.903	bicubic	-10.556	-6.770	+31
171	gluon_resnet152_v1c	69.140	30.860	87.870	12.130	60.21	224	0.875	bicubic	-10.770	-6.970	+16
172	mixnet_xl	69.100	30.900	88.310	11.690	11.90	224	0.875	bicubic	-11.376	-6.626	-14
173	tf_efficientnetv2_b2	69.090	30.910	88.220	11.780	10.10	260	0.890	bicubic	-11.118	-6.822	+2
174	gluon_resnet101_v1d	69.010	30.990	88.100	11.900	44.57	224	0.875	bicubic	-11.404	-6.914	-12
175	repvgg_b2g4	69.000	31.000	88.360	11.640	61.76	224	0.875	bilinear	-10.366	-6.328	+38
176	seresnet50	68.980	31.020	88.710	11.290	28.09	224	0.875	bicubic	-11.294	-6.360	-6
177	xception65	68.980	31.020	88.480	11.520	39.92	299	0.903	bicubic	-10.572	-6.174	+30
178	gluon_resnext101_32x4d	68.960	31.040	88.360	11.640	44.18	224	0.875	bicubic	-11.374	-6.566	-14
179	tf_efficientnet_b2_ap	68.920	31.080	88.350	11.650	9.11	260	0.890	bicubic	-11.380	-6.678	-10
180	cspdarknet53	68.890	31.110	88.600	11.400	27.64	256	0.887	bilinear	-11.168	-6.484	+1
181	regnety_120	68.850	31.150	88.330	11.670	51.82	224	0.875	bicubic	-11.516	-6.796	-18
182	gluon_resnet152_v1b	68.820	31.180	87.710	12.290	60.19	224	0.875	bicubic	-10.866	-7.026	+20
183	dpn131	68.770	31.230	87.470	12.530	79.25	224	0.875	bicubic	-11.052	-7.240	+12
184	cspresnext50	68.760	31.240	87.950	12.050	20.57	224	0.875	bilinear	-11.280	-6.994	-2
185	tf_efficientnet_b2	68.750	31.250	87.990	12.010	9.11	260	0.890	bicubic	-11.336	-6.918	-5
186	resnext50d_32x4d	68.740	31.260	88.300	11.700	25.05	224	0.875	bicubic	-10.936	-6.566	+17
187	vit_deit_small_patch16_224	68.720	31.280	88.200	11.800	22.05	224	0.900	bicubic	-11.136	-6.852	+5
188	gluon_resnet101_v1s	68.710	31.290	87.910	12.090	44.67	224	0.875	bicubic	-11.592	-7.250	-21
189	regnety_080	68.700	31.300	87.970	12.030	39.18	224	0.875	bicubic	-11.176	-6.860	0
190	dpn107	68.690	31.310	88.130	11.870	86.92	224	0.875	bicubic	-11.466	-6.780	-12
191	gluon_seresnext50_32x4d	68.670	31.330	88.310	11.690	27.56	224	0.875	bicubic	-11.248	-6.512	-6
192	hrnet_w64	68.640	31.360	88.050	11.950	128.06	224	0.875	bilinear	-10.834	-6.602	+18
193	resnext50_32x4d	68.640	31.360	87.570	12.430	25.03	224	0.875	bicubic	-11.128	-7.028	+4
194	dpn98	68.590	31.410	87.680	12.320	61.57	224	0.875	bicubic	-11.052	-6.918	+10
195	regnetx_160	68.530	31.470	88.450	11.550	54.28	224	0.875	bicubic	-11.326	-6.380	-4
196	cspresnet50	68.460	31.540	88.010	11.990	21.62	256	0.887	bilinear	-11.114	-6.702	+10
197	rexnet_130	68.450	31.550	88.040	11.960	7.56	224	0.875	bicubic	-11.050	-6.642	+12
198	tf_efficientnet_el	68.420	31.580	88.210	11.790	10.59	300	0.904	bicubic	-11.830	-6.918	-29
199	regnety_064	68.420	31.580	88.080	11.920	30.58	224	0.875	bicubic	-11.302	-6.688	0
200	ecaresnet50d_pruned	68.420	31.580	88.370	11.630	19.94	224	0.875	bicubic	-11.296	-6.510	+2
201	ssl_resnet50	68.410	31.590	88.560	11.440	25.56	224	0.875	bilinear	-10.812	-6.272	+23
202	cait_xxs36_224	68.410	31.590	88.630	11.370	17.30	224	1.000	bicubic	-11.340	-6.236	-3
203	skresnext50_32x4d	68.350	31.650	87.570	12.430	27.48	224	0.875	bicubic	-11.806	-7.072	-24
204	dla102x2	68.330	31.670	87.890	12.110	41.28	224	0.875	bilinear	-11.118	-6.750	+8
205	efficientnet_b2_pruned	68.320	31.680	88.100	11.900	8.31	260	0.890	bicubic	-11.596	-6.756	-19
206	gluon_resnext50_32x4d	68.310	31.690	87.300	12.700	25.03	224	0.875	bicubic	-11.044	-7.126	+8
207	ecaresnet26t	68.230	31.770	88.790	11.210	16.01	320	0.950	bicubic	-11.624	-6.294	-14
208	tf_efficientnet_lite3	68.230	31.770	87.740	12.260	8.20	300	0.904	bilinear	-11.590	-7.174	-12
209	ese_vovnet39b	68.210	31.790	88.250	11.750	24.57	224	0.875	bicubic	-11.110	-6.462	+6
210	regnetx_120	68.150	31.850	87.660	12.340	46.11	224	0.875	bicubic	-11.446	-7.078	-5
211	resnetrs50	68.030	31.970	87.710	12.290	35.69	224	0.910	bicubic	-11.862	-7.258	-23
212	pit_xs_distilled_224	68.020	31.980	87.720	12.280	11.00	224	0.900	bicubic	-11.286	-6.644	+8
213	dpn92	67.990	32.010	87.580	12.420	37.67	224	0.875	bicubic	-12.018	-7.256	-30
214	nf_regnet_b1	67.980	32.020	88.180	11.820	10.22	288	0.900	bicubic	-11.326	-6.568	+5
215	gluon_resnet50_v1d	67.940	32.060	87.130	12.870	25.58	224	0.875	bicubic	-11.134	-7.340	+18
216	levit_192	67.900	32.100	87.890	12.110	10.95	224	0.900	bicubic	-11.942	-6.896	-22
217	tf_efficientnetv2_b1	67.890	32.110	87.800	12.200	8.14	240	0.882	bicubic	-11.572	-6.922	-6
218	regnetx_080	67.880	32.120	86.990	13.010	39.57	224	0.875	bicubic	-11.314	-7.570	+12
219	resnext101_32x8d	67.860	32.140	87.490	12.510	88.79	224	0.875	bilinear	-11.448	-7.028	-3
220	efficientnet_em	67.840	32.160	88.120	11.880	6.90	240	0.882	bicubic	-11.412	-6.674	+4
221	legacy_seresnext50_32x4d	67.840	32.160	87.620	12.380	27.56	224	0.875	bilinear	-11.238	-6.816	+11
222	hrnet_w48	67.770	32.230	87.420	12.580	77.47	224	0.875	bilinear	-11.530	-7.092	-1
223	hrnet_w44	67.740	32.260	87.560	12.440	67.06	224	0.875	bilinear	-11.156	-6.808	+16
224	coat_lite_mini	67.720	32.280	87.700	12.300	11.01	224	0.900	bicubic	-11.368	-6.904	+7
225	tf_efficientnet_b0_ns	67.710	32.290	88.070	11.930	5.29	224	0.875	bicubic	-10.948	-6.306	+24
226	regnetx_064	67.680	32.320	87.520	12.480	26.21	224	0.875	bicubic	-11.392	-6.938	+8
227	xception	67.650	32.350	87.570	12.430	22.86	299	0.897	bicubic	-11.402	-6.822	+8
228	dpn68b	67.630	32.370	87.660	12.340	12.61	224	0.875	bicubic	-11.586	-6.754	-1
229	dla169	67.610	32.390	87.590	12.410	53.39	224	0.875	bilinear	-11.078	-6.746	+18
230	gluon_inception_v3	67.590	32.410	87.470	12.530	23.83	299	0.875	bicubic	-11.216	-6.900	+12
231	gluon_resnet101_v1c	67.580	32.420	87.180	12.820	44.57	224	0.875	bicubic	-11.954	-7.398	-23
232	regnety_040	67.580	32.420	87.510	12.490	20.65	224	0.875	bicubic	-11.640	-7.146	-6
233	res2net50_26w_8s	67.570	32.430	87.280	12.720	48.40	224	0.875	bilinear	-11.628	-7.088	-5
234	hrnet_w40	67.560	32.440	87.140	12.860	57.56	224	0.875	bilinear	-11.360	-7.330	+4
235	legacy_seresnet152	67.520	32.480	87.390	12.610	66.82	224	0.875	bilinear	-11.140	-6.980	+13
236	resnetv2_50x1_bitm	67.520	32.480	89.250	10.750	25.55	480	1.000	bilinear	-12.652	-6.376	-60
237	tf_efficientnet_b1_ap	67.520	32.480	87.760	12.240	7.79	240	0.882	bicubic	-11.760	-6.546	-14
238	efficientnet_b1	67.470	32.530	87.510	12.490	7.79	256	1.000	bicubic	-11.324	-6.832	+5
239	gluon_resnet101_v1b	67.460	32.540	87.240	12.760	44.55	224	0.875	bicubic	-11.846	-7.284	-21
240	tf_efficientnet_cc_b1_8e	67.450	32.550	87.310	12.690	39.72	240	0.882	bicubic	-11.858	-7.060	-23
241	res2net101_26w_4s	67.440	32.560	87.010	12.990	45.21	224	0.875	bilinear	-11.758	-7.422	-12
242	resnet50	67.440	32.560	87.420	12.580	25.56	224	0.875	bicubic	-11.598	-6.970	-6
243	resnetblur50	67.430	32.570	87.440	12.560	25.56	224	0.875	bicubic	-11.856	-7.198	-21
244	cait_xxs24_224	67.330	32.670	87.510	12.490	11.96	224	1.000	bicubic	-11.056	-6.800	+17
245	regnetx_032	67.290	32.710	87.000	13.000	15.30	224	0.875	bicubic	-10.882	-7.088	+26
246	coat_tiny	67.250	32.750	87.340	12.660	5.50	224	0.900	bicubic	-11.184	-6.698	+13
247	xception41	67.250	32.750	87.200	12.800	26.97	299	0.903	bicubic	-11.266	-7.078	+4
248	resnest26d	67.200	32.800	87.170	12.830	17.07	224	0.875	bilinear	-11.278	-7.128	+7
249	repvgg_b2	67.160	32.840	87.330	12.670	89.02	224	0.875	bilinear	-11.632	-7.084	-6
250	legacy_seresnet101	67.160	32.840	87.060	12.940	49.33	224	0.875	bilinear	-11.222	-7.204	+13
251	dla60x	67.100	32.900	87.190	12.810	17.35	224	0.875	bilinear	-11.146	-6.828	+15
252	gluon_resnet50_v1s	67.060	32.940	86.860	13.140	25.68	224	0.875	bicubic	-11.650	-7.378	-6
253	tv_resnet152	67.050	32.950	87.550	12.450	60.19	224	0.875	bilinear	-11.262	-6.488	+12
254	dla60_res2net	67.020	32.980	87.160	12.840	20.85	224	0.875	bilinear	-11.444	-7.046	+2
255	dla102x	67.010	32.990	86.770	13.230	26.31	224	0.875	bilinear	-11.500	-7.458	-3
256	mixnet_l	66.940	33.060	86.910	13.090	7.33	224	0.875	bicubic	-12.036	-7.272	-19
257	pit_xs_224	66.920	33.080	87.280	12.720	10.62	224	0.900	bicubic	-11.262	-6.888	+13
258	res2net50_26w_6s	66.910	33.090	86.860	13.140	37.05	224	0.875	bilinear	-11.660	-7.264	-8
259	repvgg_b1	66.900	33.100	86.780	13.220	57.42	224	0.875	bilinear	-11.466	-7.318	+4
260	efficientnet_es	66.880	33.120	86.730	13.270	5.44	224	0.875	bicubic	-11.186	-7.196	+15
261	tf_efficientnet_b1	66.880	33.120	87.010	12.990	7.79	240	0.882	bicubic	-11.946	-7.188	-20
262	regnetx_040	66.840	33.160	86.730	13.270	22.12	224	0.875	bicubic	-11.642	-7.514	-8
263	hrnet_w30	66.780	33.220	86.800	13.200	37.71	224	0.875	bilinear	-11.426	-7.422	+6
264	tf_mixnet_l	66.780	33.220	86.470	13.530	7.33	224	0.875	bicubic	-11.994	-7.528	-19
265	selecsls60b	66.760	33.240	86.530	13.470	32.77	224	0.875	bicubic	-11.652	-7.644	-5
266	hrnet_w32	66.750	33.250	87.300	12.700	41.23	224	0.875	bilinear	-11.700	-6.886	-9
267	wide_resnet101_2	66.730	33.270	87.030	12.970	126.89	224	0.875	bilinear	-12.126	-7.252	-27
268	tf_efficientnetv2_b0	66.700	33.300	86.710	13.290	7.14	224	0.875	bicubic	-11.656	-7.314	-4
269	adv_inception_v3	66.650	33.350	86.540	13.460	23.83	299	0.875	bicubic	-10.932	-7.196	+24
270	dla60_res2next	66.640	33.360	87.030	12.970	17.03	224	0.875	bilinear	-11.800	-7.122	-12
271	gluon_resnet50_v1c	66.560	33.440	86.180	13.820	25.58	224	0.875	bicubic	-11.452	-7.808	+6
272	levit_128	66.550	33.450	86.750	13.250	9.21	224	0.900	bicubic	-11.936	-7.260	-19
273	dla102	66.540	33.460	86.910	13.090	33.27	224	0.875	bilinear	-11.492	-7.036	+3
274	tf_inception_v3	66.410	33.590	86.660	13.340	23.83	299	0.875	bicubic	-11.448	-7.210	+10
275	hardcorenas_f	66.370	33.630	86.200	13.800	8.20	224	0.875	bilinear	-11.734	-7.602	-1
276	efficientnet_b0	66.290	33.710	85.960	14.040	5.29	224	0.875	bicubic	-11.408	-7.572	+11
277	coat_lite_tiny	66.290	33.710	86.980	13.020	5.72	224	0.900	bicubic	-11.222	-6.936	+20
278	legacy_seresnet50	66.250	33.750	86.330	13.670	28.09	224	0.875	bilinear	-11.380	-7.418	+11
279	selecsls60	66.210	33.790	86.340	13.660	30.67	224	0.875	bicubic	-11.772	-7.488	0
280	tf_efficientnet_em	66.180	33.820	86.360	13.640	6.90	240	0.882	bicubic	-11.950	-7.684	-7
281	tv_resnext50_32x4d	66.180	33.820	86.040	13.960	25.03	224	0.875	bilinear	-11.440	-7.656	+9
282	tf_efficientnet_cc_b0_8e	66.170	33.830	86.240	13.760	24.01	224	0.875	bicubic	-11.738	-7.414	0
283	inception_v3	66.160	33.840	86.320	13.680	23.83	299	0.875	bicubic	-11.278	-7.156	+15
284	res2net50_26w_4s	66.140	33.860	86.600	13.400	25.70	224	0.875	bilinear	-11.824	-7.254	-4
285	efficientnet_b1_pruned	66.090	33.910	86.570	13.430	6.33	240	0.882	bicubic	-12.146	-7.264	-17
286	rexnet_100	66.070	33.930	86.490	13.510	4.80	224	0.875	bicubic	-11.788	-6.926	-1
287	gluon_resnet50_v1b	66.070	33.930	86.260	13.740	25.56	224	0.875	bicubic	-11.510	-7.456	+8
288	regnety_016	66.060	33.940	86.380	13.620	11.20	224	0.875	bicubic	-11.802	-7.340	-5
289	res2net50_14w_8s	66.020	33.980	86.250	13.750	25.06	224	0.875	bilinear	-12.130	-7.598	-17
290	seresnext26t_32x4d	65.880	34.120	85.680	14.320	16.81	224	0.875	bicubic	-12.106	-8.066	-12
291	repvgg_b1g4	65.850	34.150	86.120	13.880	39.97	224	0.875	bilinear	-11.744	-7.706	+1
292	res2next50	65.850	34.150	85.840	14.160	24.67	224	0.875	bilinear	-12.396	-8.052	-25
293	densenet161	65.840	34.160	86.450	13.550	28.68	224	0.875	bicubic	-11.518	-7.188	+8
294	hardcorenas_e	65.840	34.160	85.980	14.020	8.07	224	0.875	bilinear	-11.954	-7.714	-7
295	resnet34d	65.780	34.220	86.720	13.280	21.82	224	0.875	bicubic	-11.336	-6.662	+12
296	mobilenetv3_large_100_miil	65.760	34.240	85.200	14.800	5.48	224	0.875	bilinear	-12.156	-7.710	-15
297	skresnet34	65.750	34.250	85.960	14.040	22.28	224	0.875	bicubic	-11.162	-7.362	+18
298	vit_small_patch16_224	65.740	34.260	86.120	13.880	48.75	224	0.900	bicubic	-12.118	-7.520	-13
299	tv_resnet101	65.690	34.310	85.980	14.020	44.55	224	0.875	bilinear	-11.684	-7.560	+1
300	hardcorenas_d	65.630	34.370	85.460	14.540	7.50	224	0.875	bilinear	-11.802	-8.024	-1
301	selecsls42b	65.610	34.390	85.810	14.190	32.46	224	0.875	bicubic	-11.564	-7.580	+5
302	tf_efficientnet_b0_ap	65.490	34.510	85.580	14.420	5.29	224	0.875	bicubic	-11.596	-7.676	+7
303	seresnext26d_32x4d	65.410	34.590	85.970	14.030	16.81	224	0.875	bicubic	-12.192	-7.638	-12
304	tf_efficientnet_lite2	65.380	34.620	85.990	14.010	6.09	260	0.890	bicubic	-12.088	-7.764	-7
305	res2net50_48w_2s	65.350	34.650	85.960	14.040	25.29	224	0.875	bilinear	-12.172	-7.594	-10
306	densenet201	65.290	34.710	85.690	14.310	20.01	224	0.875	bicubic	-11.996	-7.788	-3
307	densenetblur121d	65.280	34.720	85.710	14.290	8.00	224	0.875	bicubic	-11.308	-7.482	+16
308	dla60	65.200	34.800	85.760	14.240	22.04	224	0.875	bilinear	-11.832	-7.558	+3
309	ese_vovnet19b_dw	65.190	34.810	85.470	14.530	6.54	224	0.875	bicubic	-11.608	-7.798	+8
310	tf_efficientnet_cc_b0_4e	65.150	34.850	85.160	14.840	13.31	224	0.875	bicubic	-12.156	-8.174	-8
311	gernet_s	65.120	34.880	85.510	14.490	8.17	224	0.875	bilinear	-11.796	-7.622	+3
312	legacy_seresnext26_32x4d	65.050	34.950	85.660	14.340	16.79	224	0.875	bicubic	-12.054	-7.656	-4
313	mobilenetv2_120d	65.030	34.970	85.960	14.040	5.83	224	0.875	bicubic	-12.254	-7.532	-9
314	hrnet_w18	64.920	35.080	85.740	14.260	21.30	224	0.875	bilinear	-11.838	-7.704	+4
315	hardcorenas_c	64.860	35.140	85.250	14.750	5.52	224	0.875	bilinear	-12.194	-7.908	-5
316	densenet169	64.760	35.240	85.240	14.760	14.15	224	0.875	bicubic	-11.146	-7.786	+17
317	mixnet_m	64.700	35.300	85.450	14.550	5.01	224	0.875	bicubic	-12.560	-7.974	-12
318	resnet26d	64.680	35.320	85.120	14.880	16.01	224	0.875	bicubic	-12.016	-8.030	+1
319	levit_128s	64.610	35.390	84.730	15.270	7.78	224	0.900	bicubic	-11.920	-8.136	+6
320	repvgg_a2	64.450	35.550	85.130	14.870	28.21	224	0.875	bilinear	-12.010	-7.874	+7
321	hardcorenas_b	64.420	35.580	84.870	15.130	5.18	224	0.875	bilinear	-12.118	-7.884	+3
322	tf_efficientnet_lite1	64.380	35.620	85.470	14.530	5.42	240	0.882	bicubic	-12.262	-7.756	-3
323	regnetx_016	64.380	35.620	85.470	14.530	9.19	224	0.875	bicubic	-12.570	-7.950	-10
324	tf_efficientnet_b0	64.310	35.690	85.280	14.720	5.29	224	0.875	bicubic	-12.538	-7.948	-8
325	tf_mixnet_m	64.270	35.730	85.090	14.910	5.01	224	0.875	bicubic	-12.672	-8.062	-12
326	dpn68	64.230	35.770	85.180	14.820	12.61	224	0.875	bicubic	-12.088	-7.798	+2
327	tf_efficientnet_es	64.230	35.770	84.740	15.260	5.44	224	0.875	bicubic	-12.364	-8.462	-5
328	regnety_008	64.160	35.840	85.270	14.730	6.26	224	0.875	bicubic	-12.156	-7.796	+1
329	mobilenetv2_140	64.060	35.940	85.040	14.960	6.11	224	0.875	bicubic	-12.456	-7.956	-3
330	densenet121	63.750	36.250	84.590	15.410	7.98	224	0.875	bicubic	-11.828	-8.062	+7
331	hardcorenas_a	63.710	36.290	84.400	15.600	5.26	224	0.875	bilinear	-12.206	-8.114	+1
332	resnest14d	63.590	36.410	84.250	15.750	10.61	224	0.875	bilinear	-11.916	-8.268	+7
333	tf_mixnet_s	63.560	36.440	84.270	15.730	4.13	224	0.875	bicubic	-12.090	-8.358	+2
334	resnet26	63.470	36.530	84.260	15.740	16.00	224	0.875	bicubic	-11.822	-8.310	+8
335	mixnet_s	63.390	36.610	84.740	15.260	4.13	224	0.875	bicubic	-12.602	-8.056	-4
336	mobilenetv3_large_100	63.360	36.640	84.090	15.910	5.48	224	0.875	bicubic	-12.406	-8.452	-2
337	efficientnet_es_pruned	63.330	36.670	84.950	15.050	5.44	224	0.875	bicubic	-11.670	-7.498	+13
338	tv_resnet50	63.330	36.670	84.640	15.360	25.56	224	0.875	bilinear	-12.808	-8.224	-8
339	mixer_b16_224	63.280	36.720	83.310	16.690	59.88	224	0.875	bicubic	-13.322	-8.918	-18
340	efficientnet_lite0	63.240	36.760	84.440	15.560	4.65	224	0.875	bicubic	-12.244	-8.070	0
341	mobilenetv3_rw	63.220	36.780	84.510	15.490	5.48	224	0.875	bicubic	-12.414	-8.198	-5
342	pit_ti_distilled_224	63.150	36.850	83.960	16.040	5.10	224	0.900	bicubic	-11.380	-8.136	+15
343	semnasnet_100	63.150	36.850	84.520	15.480	3.89	224	0.875	bicubic	-12.298	-8.084	-2
344	regnety_006	63.110	36.890	84.250	15.750	6.06	224	0.875	bicubic	-12.136	-8.282	-1
345	tv_densenet121	62.940	37.060	84.250	15.750	7.98	224	0.875	bicubic	-11.798	-7.900	+8
346	resnet34	62.870	37.130	84.140	15.860	21.80	224	0.875	bilinear	-12.240	-8.144	+1
347	legacy_seresnet34	62.850	37.150	84.210	15.790	21.96	224	0.875	bilinear	-11.958	-7.914	+5
348	mobilenetv2_110d	62.830	37.170	84.500	15.500	4.52	224	0.875	bicubic	-12.206	-7.686	+1
349	vit_deit_tiny_distilled_patch16_224	62.810	37.190	83.930	16.070	5.91	224	0.900	bicubic	-11.700	-7.960	+9
350	hrnet_w18_small_v2	62.800	37.200	83.980	16.020	15.60	224	0.875	bilinear	-12.314	-8.436	-4
351	swsl_resnet18	62.760	37.240	84.300	15.700	11.69	224	0.875	bilinear	-10.516	-7.434	+16
352	repvgg_b0	62.720	37.280	83.860	16.140	15.82	224	0.875	bilinear	-12.432	-8.558	-8
353	gluon_resnet34_v1b	62.570	37.430	83.990	16.010	21.80	224	0.875	bicubic	-12.018	-8.000	+3
354	tf_efficientnet_lite0	62.550	37.450	84.220	15.780	4.65	224	0.875	bicubic	-12.280	-7.956	-3
355	regnetx_008	62.490	37.510	84.020	15.980	7.26	224	0.875	bicubic	-12.548	-8.316	-7
356	dla34	62.480	37.520	83.910	16.090	15.74	224	0.875	bilinear	-12.150	-8.168	-1
357	tf_mobilenetv3_large_100	62.460	37.540	83.970	16.030	5.48	224	0.875	bilinear	-13.058	-8.636	-19
358	fbnetc_100	62.440	37.560	83.380	16.620	5.57	224	0.875	bilinear	-12.684	-9.006	-13
359	mnasnet_100	61.900	38.100	83.710	16.290	4.38	224	0.875	bicubic	-12.758	-8.404	-5
360	regnety_004	61.870	38.130	83.430	16.570	4.34	224	0.875	bicubic	-12.164	-8.322	+1
361	vgg19_bn	61.860	38.140	83.450	16.550	143.68	224	0.875	bilinear	-12.354	-8.392	-2
362	convit_tiny	61.590	38.410	84.120	15.880	5.71	224	0.875	bicubic	-11.526	-7.594	+6
363	ssl_resnet18	61.480	38.520	83.300	16.700	11.69	224	0.875	bilinear	-11.130	-8.116	+9
364	regnetx_006	61.350	38.650	83.450	16.550	6.20	224	0.875	bicubic	-12.502	-8.222	-1
365	spnasnet_100	61.220	38.780	82.790	17.210	4.42	224	0.875	bilinear	-12.864	-9.028	-5
366	tv_resnet34	61.190	38.810	82.710	17.290	21.80	224	0.875	bilinear	-12.122	-8.716	0
367	pit_ti_224	60.980	39.020	83.860	16.140	4.85	224	0.900	bicubic	-11.932	-7.542	+4
368	skresnet18	60.860	39.140	82.880	17.120	11.96	224	0.875	bicubic	-12.178	-8.288	+1
369	ghostnet_100	60.830	39.170	82.360	17.640	5.18	224	0.875	bilinear	-13.148	-9.096	-7
370	vgg16_bn	60.760	39.240	82.950	17.050	138.37	224	0.875	bilinear	-12.590	-8.556	-5
371	tf_mobilenetv3_large_075	60.400	39.600	81.950	18.050	3.99	224	0.875	bilinear	-13.038	-9.400	-7
372	mobilenetv2_100	60.190	39.810	82.240	17.760	3.50	224	0.875	bicubic	-12.780	-8.776	-2
373	resnet18d	60.160	39.840	82.300	17.700	11.71	224	0.875	bicubic	-12.100	-8.396	+3
374	vit_deit_tiny_patch16_224	59.830	40.170	82.670	17.330	5.72	224	0.900	bicubic	-12.338	-8.448	+4
375	legacy_seresnet18	59.800	40.200	81.690	18.310	11.78	224	0.875	bicubic	-11.942	-8.644	+5
376	vgg19	59.710	40.290	81.450	18.550	143.67	224	0.875	bilinear	-12.658	-9.422	-2
377	regnetx_004	59.410	40.590	81.690	18.310	5.16	224	0.875	bicubic	-12.986	-9.140	-4
378	tf_mobilenetv3_large_minimal_100	59.070	40.930	81.150	18.850	3.92	224	0.875	bilinear	-13.178	-9.480	-1
379	vgg13_bn	59.000	41.000	81.070	18.930	133.05	224	0.875	bilinear	-12.594	-9.306	+2
380	hrnet_w18_small	58.950	41.050	81.340	18.660	13.19	224	0.875	bilinear	-13.394	-9.338	-5
381	vgg16	58.830	41.170	81.660	18.340	138.36	224	0.875	bilinear	-12.764	-8.722	+1
382	gluon_resnet18_v1b	58.340	41.660	80.970	19.030	11.69	224	0.875	bicubic	-12.496	-8.792	+1
383	vgg11_bn	57.410	42.590	80.020	19.980	132.87	224	0.875	bilinear	-12.950	-9.782	+1
384	resnet18	57.170	42.830	80.200	19.800	11.69	224	0.875	bilinear	-12.578	-8.878	+3
385	vgg13	57.150	42.850	79.540	20.460	133.05	224	0.875	bilinear	-12.776	-9.706	+1
386	regnety_002	57.000	43.000	79.840	20.160	3.16	224	0.875	bicubic	-13.252	-9.700	-1
387	mixer_l16_224	56.690	43.310	75.990	24.010	208.20	224	0.875	bicubic	-15.368	-11.678	-8
388	regnetx_002	56.050	43.950	79.210	20.790	2.68	224	0.875	bicubic	-12.712	-9.346	+1
389	dla60x_c	56.000	44.000	78.930	21.070	1.32	224	0.875	bilinear	-11.892	-9.496	+2
390	vgg11	55.800	44.200	78.830	21.170	132.86	224	0.875	bilinear	-13.224	-9.798	-2
391	tf_mobilenetv3_small_100	54.530	45.470	77.060	22.940	2.54	224	0.875	bilinear	-13.392	-10.604	-1
392	dla46x_c	53.050	46.950	76.870	23.130	1.07	224	0.875	bilinear	-12.920	-10.110	0
393	tf_mobilenetv3_small_075	52.160	47.840	75.470	24.530	2.04	224	0.875	bilinear	-13.556	-10.660	0
394	dla46_c	52.130	47.870	75.690	24.310	1.30	224	0.875	bilinear	-12.734	-10.602	0
395	tf_mobilenetv3_small_minimal_100	49.500	50.500	73.050	26.950	2.04	224	0.875	bilinear	-13.406	-11.180	0