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

1	model	top1	top1_err	top5	top5_err	param_count	img_size	crop_pct	interpolation
2	beit_large_patch16_384	97.810	2.190	99.790	0.210	305.00	384	1.000	bicubic
3	tf_efficientnet_l2_ns	97.780	2.220	99.890	0.110	480.31	800	0.960	bicubic
4	beit_large_patch16_512	97.780	2.220	99.820	0.180	305.67	512	1.000	bicubic
5	tf_efficientnet_l2_ns_475	97.750	2.250	99.820	0.180	480.31	475	0.936	bicubic
6	deit3_large_patch16_384_in21ft1k	97.560	2.440	99.710	0.290	304.76	384	1.000	bicubic
7	convnext_xlarge_384_in22ft1k	97.550	2.450	99.800	0.200	350.20	384	1.000	bicubic
8	beit_large_patch16_224	97.480	2.520	99.690	0.310	304.43	224	0.900	bicubic
9	convnext_large_384_in22ft1k	97.440	2.560	99.780	0.220	197.77	384	1.000	bicubic
10	vit_large_patch16_384	97.420	2.580	99.780	0.220	304.72	384	1.000	bicubic
11	beit_base_patch16_384	97.330	2.670	99.720	0.280	86.74	384	1.000	bicubic
12	deit3_large_patch16_224_in21ft1k	97.310	2.690	99.680	0.320	304.37	224	1.000	bicubic
13	convnext_base_384_in22ft1k	97.290	2.710	99.780	0.220	88.59	384	1.000	bicubic
14	volo_d5_512	97.290	2.710	99.760	0.240	296.09	512	1.150	bicubic
15	swinv2_large_window12to24_192to384_22kft1k	97.280	2.720	99.780	0.220	196.74	384	1.000	bicubic
16	swinv2_base_window12to24_192to384_22kft1k	97.260	2.740	99.790	0.210	87.92	384	1.000	bicubic
17	convnext_large_in22ft1k	97.260	2.740	99.650	0.350	197.77	224	0.875	bicubic
18	deit3_huge_patch14_224_in21ft1k	97.250	2.750	99.720	0.280	632.13	224	1.000	bicubic
19	volo_d5_448	97.240	2.760	99.740	0.260	295.91	448	1.150	bicubic
20	convnext_xlarge_in22ft1k	97.240	2.760	99.730	0.270	350.20	224	0.875	bicubic
21	swinv2_large_window12to16_192to256_22kft1k	97.240	2.760	99.710	0.290	196.74	256	0.900	bicubic
22	deit3_base_patch16_384_in21ft1k	97.240	2.760	99.670	0.330	86.88	384	1.000	bicubic
23	tf_efficientnet_b7_ns	97.190	2.810	99.700	0.300	66.35	600	0.949	bicubic
24	swin_large_patch4_window12_384	97.180	2.820	99.680	0.320	196.74	384	1.000	bicubic
25	tf_efficientnetv2_xl_in21ft1k	97.150	2.850	99.620	0.380	208.12	512	1.000	bicubic
26	swin_base_patch4_window12_384	97.120	2.880	99.780	0.220	87.90	384	1.000	bicubic
27	tf_efficientnetv2_l_in21ft1k	97.110	2.890	99.710	0.290	118.52	480	1.000	bicubic
28	convnext_small_384_in22ft1k	97.090	2.910	99.690	0.310	50.22	384	1.000	bicubic
29	vit_base_patch8_224	97.080	2.920	99.620	0.380	86.58	224	0.900	bicubic
30	volo_d4_448	97.070	2.930	99.750	0.250	193.41	448	1.150	bicubic
31	swinv2_base_window12to16_192to256_22kft1k	97.060	2.940	99.660	0.340	87.92	256	0.900	bicubic
32	tf_efficientnet_b6_ns	97.020	2.980	99.710	0.290	43.04	528	0.942	bicubic
33	vit_base_patch16_384	97.020	2.980	99.710	0.290	86.86	384	1.000	bicubic
34	volo_d3_448	97.020	2.980	99.680	0.320	86.63	448	1.000	bicubic
35	ig_resnext101_32x48d	96.970	3.030	99.670	0.330	828.41	224	0.875	bilinear
36	tf_efficientnetv2_m_in21ft1k	96.970	3.030	99.610	0.390	54.14	480	1.000	bicubic
37	vit_large_r50_s32_384	96.950	3.050	99.710	0.290	329.09	384	1.000	bicubic
38	swin_large_patch4_window7_224	96.950	3.050	99.660	0.340	196.53	224	0.900	bicubic
39	xcit_large_24_p16_384_dist	96.940	3.060	99.510	0.490	189.10	384	1.000	bicubic
40	dm_nfnet_f6	96.920	3.080	99.720	0.280	438.36	576	0.956	bicubic
41	volo_d5_224	96.880	3.120	99.670	0.330	295.46	224	0.960	bicubic
42	resnetv2_152x4_bitm	96.880	3.120	99.660	0.340	936.53	480	1.000	bilinear
43	cait_m48_448	96.880	3.120	99.620	0.380	356.46	448	1.000	bicubic
44	tf_efficientnet_b5_ns	96.870	3.130	99.640	0.360	30.39	456	0.934	bicubic
45	deit3_base_patch16_224_in21ft1k	96.870	3.130	99.620	0.380	86.59	224	1.000	bicubic
46	deit3_large_patch16_384	96.850	3.150	99.620	0.380	304.76	384	1.000	bicubic
47	convnext_base_in22ft1k	96.840	3.160	99.650	0.350	88.59	224	0.875	bicubic
48	cait_m36_384	96.830	3.170	99.660	0.340	271.22	384	1.000	bicubic
49	dm_nfnet_f5	96.810	3.190	99.670	0.330	377.21	544	0.954	bicubic
50	xcit_small_24_p8_384_dist	96.810	3.190	99.630	0.370	47.63	384	1.000	bicubic
51	volo_d4_224	96.780	3.220	99.670	0.330	192.96	224	0.960	bicubic
52	dm_nfnet_f4	96.780	3.220	99.620	0.380	316.07	512	0.951	bicubic
53	xcit_medium_24_p8_384_dist	96.780	3.220	99.610	0.390	84.32	384	1.000	bicubic
54	ig_resnext101_32x32d	96.780	3.220	99.530	0.470	468.53	224	0.875	bilinear
55	xcit_large_24_p8_384_dist	96.760	3.240	99.560	0.440	188.93	384	1.000	bicubic
56	dm_nfnet_f3	96.730	3.270	99.630	0.370	254.92	416	0.940	bicubic
57	vit_large_patch16_224	96.710	3.290	99.650	0.350	304.33	224	0.900	bicubic
58	tf_efficientnet_b4_ns	96.710	3.290	99.640	0.360	19.34	380	0.922	bicubic
59	volo_d2_384	96.710	3.290	99.600	0.400	58.87	384	1.000	bicubic
60	xcit_medium_24_p16_384_dist	96.700	3.300	99.600	0.400	84.40	384	1.000	bicubic
61	tf_efficientnet_b8	96.700	3.300	99.530	0.470	87.41	672	0.954	bicubic
62	swin_base_patch4_window7_224	96.680	3.320	99.660	0.340	87.77	224	0.900	bicubic
63	deit3_small_patch16_384_in21ft1k	96.670	3.330	99.640	0.360	22.21	384	1.000	bicubic
64	beit_base_patch16_224	96.660	3.340	99.660	0.340	86.53	224	0.900	bicubic
65	tf_efficientnetv2_l	96.650	3.350	99.560	0.440	118.52	480	1.000	bicubic
66	xcit_large_24_p8_224_dist	96.640	3.360	99.460	0.540	188.93	224	1.000	bicubic
67	cait_s36_384	96.630	3.370	99.600	0.400	68.37	384	1.000	bicubic
68	regnetz_e8	96.600	3.400	99.610	0.390	57.70	320	1.000	bicubic
69	deit3_huge_patch14_224	96.580	3.420	99.520	0.480	632.13	224	0.900	bicubic
70	tf_efficientnet_b7	96.580	3.420	99.520	0.480	66.35	600	0.949	bicubic
71	cait_s24_384	96.570	3.430	99.550	0.450	47.06	384	1.000	bicubic
72	xcit_small_24_p8_224_dist	96.550	3.450	99.570	0.430	47.63	224	1.000	bicubic
73	tf_efficientnet_b8_ap	96.550	3.450	99.540	0.460	87.41	672	0.954	bicubic
74	tf_efficientnetv2_m	96.540	3.460	99.570	0.430	54.14	480	1.000	bicubic
75	resnetv2_152x2_bitm	96.520	3.480	99.590	0.410	236.34	448	1.000	bilinear
76	xcit_medium_24_p8_224_dist	96.520	3.480	99.510	0.490	84.32	224	1.000	bicubic
77	deit_base_distilled_patch16_384	96.510	3.490	99.590	0.410	87.63	384	1.000	bicubic
78	xcit_small_12_p8_384_dist	96.480	3.520	99.490	0.510	26.21	384	1.000	bicubic
79	tf_efficientnetv2_s_in21ft1k	96.470	3.530	99.570	0.430	21.46	384	1.000	bicubic
80	volo_d1_384	96.470	3.530	99.550	0.450	26.78	384	1.000	bicubic
81	ecaresnet269d	96.460	3.540	99.610	0.390	102.09	352	1.000	bicubic
82	dm_nfnet_f2	96.460	3.540	99.540	0.460	193.78	352	0.920	bicubic
83	convnext_small_in22ft1k	96.460	3.540	99.470	0.530	50.22	224	0.875	bicubic
84	vit_base_r50_s16_384	96.450	3.550	99.660	0.340	98.95	384	1.000	bicubic
85	eca_nfnet_l2	96.450	3.550	99.620	0.380	56.72	384	1.000	bicubic
86	volo_d3_224	96.440	3.560	99.620	0.380	86.33	224	0.960	bicubic
87	ig_resnext101_32x16d	96.440	3.560	99.540	0.460	194.03	224	0.875	bilinear
88	seresnextaa101d_32x8d	96.420	3.580	99.520	0.480	93.59	288	1.000	bicubic
89	volo_d2_224	96.420	3.580	99.500	0.500	58.68	224	0.960	bicubic
90	resnetrs420	96.410	3.590	99.540	0.460	191.89	416	1.000	bicubic
91	dm_nfnet_f1	96.380	3.620	99.470	0.530	132.63	320	0.910	bicubic
92	tf_efficientnet_b6_ap	96.370	3.630	99.550	0.450	43.04	528	0.942	bicubic
93	seresnext101d_32x8d	96.360	3.640	99.470	0.530	93.59	288	1.000	bicubic
94	tf_efficientnet_b7_ap	96.350	3.650	99.590	0.410	66.35	600	0.949	bicubic
95	resmlp_big_24_224_in22ft1k	96.350	3.650	99.520	0.480	129.14	224	0.875	bicubic
96	xcit_small_24_p16_384_dist	96.340	3.660	99.580	0.420	47.67	384	1.000	bicubic
97	resnetrs200	96.340	3.660	99.550	0.450	93.21	320	1.000	bicubic
98	regnetz_040h	96.330	3.670	99.520	0.480	28.94	320	1.000	bicubic
99	xcit_small_12_p16_384_dist	96.330	3.670	99.490	0.510	26.25	384	1.000	bicubic
100	xcit_large_24_p16_224_dist	96.320	3.680	99.500	0.500	189.10	224	1.000	bicubic
101	seresnet152d	96.310	3.690	99.510	0.490	66.84	320	1.000	bicubic
102	vit_base_patch16_224	96.300	3.700	99.560	0.440	86.57	224	0.900	bicubic
103	tf_efficientnet_b6	96.290	3.710	99.520	0.480	43.04	528	0.942	bicubic
104	swsl_resnext101_32x16d	96.280	3.720	99.500	0.500	194.03	224	0.875	bilinear
105	resnetv2_50x3_bitm	96.270	3.730	99.630	0.370	217.32	448	1.000	bilinear
106	efficientnetv2_rw_m	96.270	3.730	99.560	0.440	53.24	416	1.000	bicubic
107	xcit_medium_24_p16_224_dist	96.260	3.740	99.410	0.590	84.40	224	1.000	bicubic
108	resnetv2_101x3_bitm	96.250	3.750	99.590	0.410	387.93	448	1.000	bilinear
109	swsl_resnext101_32x8d	96.240	3.760	99.590	0.410	88.79	224	0.875	bilinear
110	resnetrs350	96.240	3.760	99.470	0.530	163.96	384	1.000	bicubic
111	xcit_tiny_24_p8_384_dist	96.240	3.760	99.440	0.560	12.11	384	1.000	bicubic
112	deit3_base_patch16_384	96.230	3.770	99.400	0.600	86.88	384	1.000	bicubic
113	regnetz_d8_evos	96.220	3.780	99.490	0.510	23.46	320	0.950	bicubic
114	resnetv2_152x2_bit_teacher_384	96.190	3.810	99.500	0.500	236.34	384	1.000	bicubic
115	deit3_large_patch16_224	96.190	3.810	99.300	0.700	304.37	224	0.900	bicubic
116	vit_large_r50_s32_224	96.180	3.820	99.540	0.460	328.99	224	0.900	bicubic
117	regnetz_040	96.180	3.820	99.510	0.490	27.12	320	1.000	bicubic
118	convnext_tiny_384_in22ft1k	96.170	3.830	99.480	0.520	28.59	384	1.000	bicubic
119	swinv2_base_window16_256	96.170	3.830	99.400	0.600	87.92	256	0.900	bicubic
120	crossvit_18_dagger_408	96.130	3.870	99.470	0.530	44.61	408	1.000	bicubic
121	seresnext101_32x8d	96.130	3.870	99.360	0.640	93.57	288	1.000	bicubic
122	resnest269e	96.120	3.880	99.520	0.480	110.93	416	0.928	bicubic
123	resnet200d	96.110	3.890	99.460	0.540	64.69	320	1.000	bicubic
124	tf_efficientnet_b3_ns	96.100	3.900	99.480	0.520	12.23	300	0.904	bicubic
125	tf_efficientnet_b5_ap	96.080	3.920	99.540	0.460	30.39	456	0.934	bicubic
126	xcit_large_24_p8_224	96.080	3.920	99.150	0.850	188.93	224	1.000	bicubic
127	resnest200e	96.070	3.930	99.480	0.520	70.20	320	0.909	bicubic
128	swinv2_base_window8_256	96.070	3.930	99.420	0.580	87.92	256	0.900	bicubic
129	pit_b_distilled_224	96.070	3.930	99.380	0.620	74.79	224	0.900	bicubic
130	swinv2_small_window16_256	96.070	3.930	99.340	0.660	49.73	256	0.900	bicubic
131	vit_small_r26_s32_384	96.060	3.940	99.550	0.450	36.47	384	1.000	bicubic
132	resnetrs270	96.060	3.940	99.480	0.520	129.86	352	1.000	bicubic
133	swsl_resnext101_32x4d	96.040	3.960	99.530	0.470	44.18	224	0.875	bilinear
134	swin_s3_base_224	96.040	3.960	99.350	0.650	71.13	224	0.900	bicubic
135	volo_d1_224	96.030	3.970	99.390	0.610	26.63	224	0.960	bicubic
136	vit_base_patch16_224_miil	96.030	3.970	99.350	0.650	86.54	224	0.875	bilinear
137	convnext_large	96.020	3.980	99.470	0.530	197.77	224	0.875	bicubic
138	regnetz_d8	96.010	3.990	99.520	0.480	23.37	320	1.000	bicubic
139	cs3se_edgenet_x	96.010	3.990	99.440	0.560	50.72	320	1.000	bicubic
140	cait_xs24_384	96.010	3.990	99.430	0.570	26.67	384	1.000	bicubic
141	vit_small_patch16_384	95.980	4.020	99.590	0.410	22.20	384	1.000	bicubic
142	tf_efficientnet_b5	95.980	4.020	99.450	0.550	30.39	456	0.934	bicubic
143	xcit_small_12_p8_224_dist	95.960	4.040	99.420	0.580	26.21	224	1.000	bicubic
144	resnetrs152	95.960	4.040	99.380	0.620	86.62	320	1.000	bicubic
145	eca_nfnet_l1	95.940	4.060	99.490	0.510	41.41	320	1.000	bicubic
146	convnext_base	95.940	4.060	99.380	0.620	88.59	224	0.875	bicubic
147	ig_resnext101_32x8d	95.940	4.060	99.380	0.620	88.79	224	0.875	bilinear
148	xcit_small_24_p8_224	95.910	4.090	99.180	0.820	47.63	224	1.000	bicubic
149	vit_base_patch32_384	95.900	4.100	99.440	0.560	88.30	384	1.000	bicubic
150	regnety_160	95.880	4.120	99.560	0.440	83.59	288	1.000	bicubic
151	sequencer2d_l	95.870	4.130	99.470	0.530	54.30	224	0.875	bicubic
152	resmlp_big_24_distilled_224	95.870	4.130	99.440	0.560	129.14	224	0.875	bicubic
153	regnetz_d32	95.870	4.130	99.430	0.570	27.58	320	0.950	bicubic
154	resnet152d	95.870	4.130	99.430	0.570	60.21	320	1.000	bicubic
155	xcit_medium_24_p8_224	95.870	4.130	99.080	0.920	84.32	224	1.000	bicubic
156	regnety_080	95.850	4.150	99.440	0.560	39.18	288	1.000	bicubic
157	swin_s3_small_224	95.840	4.160	99.200	0.800	49.74	224	0.900	bicubic
158	deit3_small_patch16_224_in21ft1k	95.820	4.180	99.400	0.600	22.06	224	1.000	bicubic
159	crossvit_15_dagger_408	95.820	4.180	99.310	0.690	28.50	408	1.000	bicubic
160	xcit_small_24_p16_224_dist	95.790	4.210	99.350	0.650	47.67	224	1.000	bicubic
161	regnety_064	95.790	4.210	99.290	0.710	30.58	288	1.000	bicubic
162	deit3_base_patch16_224	95.780	4.220	99.270	0.730	86.59	224	0.900	bicubic
163	regnetv_064	95.770	4.230	99.420	0.580	30.58	288	1.000	bicubic
164	resnet101d	95.750	4.250	99.440	0.560	44.57	320	1.000	bicubic
165	resnetv2_152x2_bit_teacher	95.750	4.250	99.430	0.570	236.34	224	0.875	bicubic
166	deit_base_distilled_patch16_224	95.750	4.250	99.280	0.720	87.34	224	0.900	bicubic
167	regnetv_040	95.730	4.270	99.380	0.620	20.64	288	1.000	bicubic
168	convnext_tiny_in22ft1k	95.730	4.270	99.360	0.640	28.59	224	0.875	bicubic
169	swinv2_small_window8_256	95.730	4.270	99.360	0.640	49.73	256	0.900	bicubic
170	xcit_small_12_p16_224_dist	95.730	4.270	99.300	0.700	26.25	224	1.000	bicubic
171	twins_pcpvt_large	95.720	4.280	99.490	0.510	60.99	224	0.900	bicubic
172	twins_svt_large	95.720	4.280	99.370	0.630	99.27	224	0.900	bicubic
173	swin_small_patch4_window7_224	95.720	4.280	99.290	0.710	49.61	224	0.900	bicubic
174	tf_efficientnetv2_s	95.710	4.290	99.400	0.600	21.46	384	1.000	bicubic
175	efficientnetv2_rw_s	95.700	4.300	99.380	0.620	23.94	384	1.000	bicubic
176	dm_nfnet_f0	95.690	4.310	99.330	0.670	71.49	256	0.900	bicubic
177	swinv2_cr_small_ns_224	95.690	4.310	99.310	0.690	49.70	224	0.900	bicubic
178	xception65	95.690	4.310	99.310	0.690	39.92	299	0.940	bicubic
179	xception65p	95.660	4.340	99.270	0.730	39.82	299	0.940	bicubic
180	deit_base_patch16_384	95.650	4.350	99.240	0.760	86.86	384	1.000	bicubic
181	cait_s24_224	95.640	4.360	99.390	0.610	46.92	224	1.000	bicubic
182	regnetz_c16_evos	95.630	4.370	99.420	0.580	13.49	320	0.950	bicubic
183	swsl_resnext50_32x4d	95.610	4.390	99.440	0.560	25.03	224	0.875	bilinear
184	deit3_small_patch16_384	95.610	4.390	99.390	0.610	22.21	384	1.000	bicubic
185	convnext_small	95.610	4.390	99.260	0.740	50.22	224	0.875	bicubic
186	sequencer2d_m	95.600	4.400	99.270	0.730	38.31	224	0.875	bicubic
187	tf_efficientnet_b4	95.590	4.410	99.330	0.670	19.34	380	0.922	bicubic
188	twins_svt_base	95.570	4.430	99.230	0.770	56.07	224	0.900	bicubic
189	resnest101e	95.560	4.440	99.270	0.730	48.28	256	0.875	bilinear
190	resnet152	95.550	4.450	99.260	0.740	60.19	224	0.950	bicubic
191	jx_nest_base	95.540	4.460	99.300	0.700	67.72	224	0.875	bicubic
192	resnext101_64x4d	95.540	4.460	99.290	0.710	83.46	288	1.000	bicubic
193	efficientnet_b4	95.530	4.470	99.400	0.600	19.34	384	1.000	bicubic
194	jx_nest_small	95.530	4.470	99.220	0.780	38.35	224	0.875	bicubic
195	tf_efficientnet_b2_ns	95.520	4.480	99.340	0.660	9.11	260	0.890	bicubic
196	tresnet_xl_448	95.510	4.490	99.340	0.660	78.44	448	0.875	bilinear
197	tf_efficientnet_b4_ap	95.490	4.510	99.390	0.610	19.34	380	0.922	bicubic
198	xcit_tiny_24_p16_384_dist	95.490	4.510	99.360	0.640	12.12	384	1.000	bicubic
199	regnety_032	95.480	4.520	99.320	0.680	19.44	288	1.000	bicubic
200	regnety_040	95.470	4.530	99.420	0.580	20.65	288	1.000	bicubic
201	cs3edgenet_x	95.470	4.530	99.280	0.720	47.82	288	1.000	bicubic
202	sequencer2d_s	95.470	4.530	99.270	0.730	27.65	224	0.875	bicubic
203	twins_pcpvt_base	95.460	4.540	99.390	0.610	43.83	224	0.900	bicubic
204	xcit_tiny_24_p8_224_dist	95.460	4.540	99.360	0.640	12.11	224	1.000	bicubic
205	eca_nfnet_l0	95.450	4.550	99.390	0.610	24.14	288	1.000	bicubic
206	cs3sedarknet_x	95.420	4.580	99.320	0.680	35.40	288	1.000	bicubic
207	xcit_small_12_p8_224	95.420	4.580	99.200	0.800	26.21	224	1.000	bicubic
208	ssl_resnext101_32x16d	95.410	4.590	99.410	0.590	194.03	224	0.875	bilinear
209	resnetv2_50x1_bit_distilled	95.400	4.600	99.430	0.570	25.55	224	0.875	bicubic
210	tresnet_l_448	95.400	4.600	99.300	0.700	55.99	448	0.875	bilinear
211	swinv2_cr_small_224	95.400	4.600	99.050	0.950	49.70	224	0.900	bicubic
212	nfnet_l0	95.390	4.610	99.420	0.580	35.07	288	1.000	bicubic
213	regnetz_c16	95.390	4.610	99.310	0.690	13.46	320	0.940	bicubic
214	mobilevitv2_200_384_in22ft1k	95.390	4.610	99.280	0.720	18.45	384	1.000	bicubic
215	tresnet_m	95.380	4.620	99.150	0.850	31.39	224	0.875	bilinear
216	swinv2_tiny_window16_256	95.360	4.640	99.300	0.700	28.35	256	0.900	bicubic
217	pnasnet5large	95.360	4.640	99.130	0.870	86.06	331	0.911	bicubic
218	xcit_tiny_12_p8_384_dist	95.340	4.660	99.340	0.660	6.71	384	1.000	bicubic
219	mobilevitv2_150_384_in22ft1k	95.340	4.660	99.130	0.870	10.59	384	1.000	bicubic
220	ssl_resnext101_32x8d	95.330	4.670	99.310	0.690	88.79	224	0.875	bilinear
221	resnetv2_101x1_bitm	95.320	4.680	99.370	0.630	44.54	448	1.000	bilinear
222	vit_relpos_medium_patch16_cls_224	95.300	4.700	99.090	0.910	38.76	224	0.900	bicubic
223	gc_efficientnetv2_rw_t	95.290	4.710	99.220	0.780	13.68	288	1.000	bicubic
224	cs3darknet_x	95.270	4.730	99.280	0.720	35.05	288	1.000	bicubic
225	resnetrs101	95.250	4.750	99.210	0.790	63.62	288	0.940	bicubic
226	vit_relpos_base_patch16_clsgap_224	95.250	4.750	99.200	0.800	86.43	224	0.900	bicubic
227	mobilevitv2_175_384_in22ft1k	95.240	4.760	99.380	0.620	14.25	384	1.000	bicubic
228	vit_large_patch32_384	95.240	4.760	99.320	0.680	306.63	384	1.000	bicubic
229	cait_xxs36_384	95.220	4.780	99.320	0.680	17.37	384	1.000	bicubic
230	levit_384	95.210	4.790	99.160	0.840	39.13	224	0.900	bicubic
231	swsl_resnet50	95.200	4.800	99.390	0.610	25.56	224	0.875	bilinear
232	resnet51q	95.200	4.800	99.280	0.720	35.70	288	1.000	bilinear
233	vit_relpos_medium_patch16_224	95.200	4.800	99.220	0.780	38.75	224	0.900	bicubic
234	crossvit_18_dagger_240	95.180	4.820	99.120	0.880	44.27	240	0.875	bicubic
235	ecaresnet101d	95.160	4.840	99.230	0.770	44.57	224	0.875	bicubic
236	ssl_resnext101_32x4d	95.150	4.850	99.300	0.700	44.18	224	0.875	bilinear
237	nasnetalarge	95.150	4.850	99.130	0.870	88.75	331	0.911	bicubic
238	efficientnet_b3	95.140	4.860	99.210	0.790	12.23	320	1.000	bicubic
239	vit_relpos_base_patch16_224	95.130	4.870	99.300	0.700	86.43	224	0.900	bicubic
240	fbnetv3_g	95.130	4.870	99.200	0.800	16.62	288	0.950	bilinear
241	poolformer_m48	95.130	4.870	99.120	0.880	73.47	224	0.950	bicubic
242	xcit_medium_24_p16_224	95.130	4.870	98.930	1.070	84.40	224	1.000	bicubic
243	resnetv2_50d_evos	95.120	4.880	99.230	0.770	25.59	288	0.950	bicubic
244	vit_small_r26_s32_224	95.120	4.880	99.220	0.780	36.43	224	0.900	bicubic
245	cs3sedarknet_l	95.120	4.880	99.210	0.790	21.91	288	0.950	bicubic
246	tf_efficientnetv2_b3	95.120	4.880	99.200	0.800	14.36	300	0.904	bicubic
247	resnet61q	95.120	4.880	99.080	0.920	36.85	288	1.000	bicubic
248	convit_base	95.100	4.900	99.140	0.860	86.54	224	0.875	bicubic
249	resnetv2_50d_gn	95.100	4.900	99.060	0.940	25.57	288	0.950	bicubic
250	xcit_small_24_p16_224	95.080	4.920	99.070	0.930	47.67	224	1.000	bicubic
251	coat_lite_small	95.080	4.920	99.030	0.970	19.84	224	0.900	bicubic
252	ecaresnet50t	95.070	4.930	99.290	0.710	25.57	320	0.950	bicubic
253	efficientnetv2_rw_t	95.070	4.930	99.220	0.780	13.65	288	1.000	bicubic
254	vit_relpos_medium_patch16_rpn_224	95.070	4.930	99.190	0.810	38.73	224	0.900	bicubic
255	crossvit_18_240	95.070	4.930	99.120	0.880	43.27	240	0.875	bicubic
256	crossvit_base_240	95.070	4.930	98.980	1.020	105.03	240	0.875	bicubic
257	tresnet_xl	95.060	4.940	99.260	0.740	78.44	224	0.875	bilinear
258	xception41p	95.060	4.940	99.150	0.850	26.91	299	0.940	bicubic
259	mobilevitv2_200_in22ft1k	95.050	4.950	99.080	0.920	18.45	256	0.888	bicubic
260	swinv2_tiny_window8_256	95.030	4.970	99.170	0.830	28.35	256	0.900	bicubic
261	poolformer_m36	95.010	4.990	99.100	0.900	56.17	224	0.950	bicubic
262	halo2botnet50ts_256	95.010	4.990	99.040	0.960	22.64	256	0.950	bicubic
263	deit_base_patch16_224	95.010	4.990	98.980	1.020	86.57	224	0.900	bicubic
264	crossvit_15_dagger_240	94.980	5.020	99.160	0.840	28.21	240	0.875	bicubic
265	resnet101	94.980	5.020	99.080	0.920	44.55	224	0.950	bicubic
266	visformer_small	94.970	5.030	99.210	0.790	40.22	224	0.900	bicubic
267	convmixer_1536_20	94.970	5.030	99.170	0.830	51.63	224	0.960	bicubic
268	tf_efficientnet_b3_ap	94.970	5.030	99.110	0.890	12.23	300	0.904	bicubic
269	convnext_tiny	94.960	5.040	99.200	0.800	28.59	224	0.875	bicubic
270	jx_nest_tiny	94.950	5.050	99.100	0.900	17.06	224	0.875	bicubic
271	xcit_large_24_p16_224	94.950	5.050	98.830	1.170	189.10	224	1.000	bicubic
272	gernet_l	94.930	5.070	99.200	0.800	31.08	256	0.875	bilinear
273	cait_xxs24_384	94.930	5.070	99.140	0.860	12.03	384	1.000	bicubic
274	resnetv2_101	94.930	5.070	99.120	0.880	44.54	224	0.950	bicubic
275	convit_small	94.920	5.080	99.110	0.890	27.78	224	0.875	bicubic
276	tf_efficientnet_b3	94.910	5.090	99.110	0.890	12.23	300	0.904	bicubic
277	vit_srelpos_medium_patch16_224	94.900	5.100	99.200	0.800	38.74	224	0.900	bicubic
278	swin_s3_tiny_224	94.900	5.100	99.160	0.840	28.33	224	0.900	bicubic
279	tresnet_l	94.900	5.100	99.030	0.970	55.99	224	0.875	bilinear
280	xcit_tiny_24_p8_224	94.890	5.110	99.190	0.810	12.11	224	1.000	bicubic
281	mixer_b16_224_miil	94.890	5.110	99.080	0.920	59.88	224	0.875	bilinear
282	vit_small_patch16_224	94.880	5.120	99.270	0.730	22.05	224	0.900	bicubic
283	resnetaa50	94.880	5.120	99.130	0.870	25.56	288	1.000	bicubic
284	tf_efficientnet_lite4	94.870	5.130	99.090	0.910	13.01	380	0.920	bilinear
285	tf_efficientnet_b1_ns	94.860	5.140	99.250	0.750	7.79	240	0.882	bicubic
286	convnext_nano	94.860	5.140	99.150	0.850	15.59	288	1.000	bicubic
287	edgenext_small	94.830	5.170	99.410	0.590	5.59	320	1.000	bicubic
288	vit_base_patch16_rpn_224	94.820	5.180	99.090	0.910	86.54	224	0.900	bicubic
289	xcit_small_12_p16_224	94.820	5.180	99.060	0.940	26.25	224	1.000	bicubic
290	seresnext50_32x4d	94.810	5.190	99.130	0.870	27.56	224	0.875	bicubic
291	cs3darknet_focus_l	94.790	5.210	99.150	0.850	21.15	288	0.950	bicubic
292	pit_b_224	94.790	5.210	98.820	1.180	73.76	224	0.900	bicubic
293	mobilevitv2_175_in22ft1k	94.780	5.220	99.100	0.900	14.25	256	0.888	bicubic
294	convnext_tiny_hnf	94.770	5.230	99.160	0.840	28.59	224	0.950	bicubic
295	twins_svt_small	94.770	5.230	99.080	0.920	24.06	224	0.900	bicubic
296	lamhalobotnet50ts_256	94.770	5.230	98.980	1.020	22.57	256	0.950	bicubic
297	coat_mini	94.770	5.230	98.950	1.050	10.34	224	0.900	bicubic
298	swinv2_cr_tiny_ns_224	94.760	5.240	99.110	0.890	28.33	224	0.900	bicubic
299	resnetv2_50x1_bitm	94.750	5.250	99.180	0.820	25.55	448	1.000	bilinear
300	pit_s_distilled_224	94.740	5.260	99.180	0.820	24.04	224	0.900	bicubic
301	legacy_senet154	94.730	5.270	99.100	0.900	115.09	224	0.875	bilinear
302	xcit_tiny_12_p8_224_dist	94.720	5.280	99.180	0.820	6.71	224	1.000	bicubic
303	crossvit_15_240	94.720	5.280	99.080	0.920	27.53	240	0.875	bicubic
304	gluon_resnet152_v1s	94.720	5.280	99.060	0.940	60.32	224	0.875	bicubic
305	resnest50d_4s2x40d	94.710	5.290	99.140	0.860	30.42	224	0.875	bicubic
306	gluon_senet154	94.710	5.290	98.970	1.030	115.09	224	0.875	bicubic
307	halonet50ts	94.710	5.290	98.830	1.170	22.73	256	0.940	bicubic
308	ssl_resnext50_32x4d	94.700	5.300	99.240	0.760	25.03	224	0.875	bilinear
309	vit_relpos_small_patch16_224	94.690	5.310	99.100	0.900	21.98	224	0.900	bicubic
310	mobilevitv2_150_in22ft1k	94.690	5.310	98.920	1.080	10.59	256	0.888	bicubic
311	deit3_small_patch16_224	94.690	5.310	98.750	1.250	22.06	224	0.900	bicubic
312	cs3darknet_l	94.680	5.320	99.220	0.780	21.16	288	0.950	bicubic
313	regnetz_b16	94.680	5.320	99.160	0.840	9.72	288	0.940	bicubic
314	efficientnet_el	94.670	5.330	99.130	0.870	10.59	300	0.904	bicubic
315	tresnet_m_448	94.660	5.340	99.150	0.850	31.39	448	0.875	bilinear
316	rexnet_200	94.660	5.340	99.090	0.910	16.37	224	0.875	bicubic
317	wide_resnet50_2	94.660	5.340	99.050	0.950	68.88	224	0.875	bicubic
318	gluon_seresnext101_64x4d	94.660	5.340	98.980	1.020	88.23	224	0.875	bicubic
319	swin_tiny_patch4_window7_224	94.620	5.380	99.120	0.880	28.29	224	0.900	bicubic
320	poolformer_s36	94.620	5.380	99.050	0.950	30.86	224	0.900	bicubic
321	resnest50d	94.620	5.380	99.030	0.970	27.48	224	0.875	bilinear
322	gcresnet50t	94.620	5.380	98.980	1.020	25.90	256	0.900	bicubic
323	twins_pcpvt_small	94.600	5.400	99.150	0.850	24.11	224	0.900	bicubic
324	vit_small_patch32_384	94.600	5.400	99.140	0.860	22.92	384	1.000	bicubic
325	deit_small_distilled_patch16_224	94.600	5.400	99.100	0.900	22.44	224	0.900	bicubic
326	crossvit_small_240	94.580	5.420	99.120	0.880	26.86	240	0.875	bicubic
327	efficientnet_b3_pruned	94.580	5.420	99.070	0.930	9.86	300	0.904	bicubic
328	pit_s_224	94.580	5.420	98.930	1.070	23.46	224	0.900	bicubic
329	resnext50_32x4d	94.580	5.420	98.800	1.200	25.03	224	0.950	bicubic
330	tnt_s_patch16_224	94.570	5.430	99.180	0.820	23.76	224	0.900	bicubic
331	lambda_resnet50ts	94.570	5.430	98.650	1.350	21.54	256	0.950	bicubic
332	repvgg_b3	94.560	5.440	98.910	1.090	123.09	224	0.875	bilinear
333	resmlp_36_distilled_224	94.550	5.450	99.160	0.840	44.69	224	0.875	bicubic
334	vit_srelpos_small_patch16_224	94.550	5.450	99.140	0.860	21.97	224	0.900	bicubic
335	gernet_m	94.550	5.450	98.930	1.070	21.14	224	0.875	bilinear
336	sehalonet33ts	94.540	5.460	98.760	1.240	13.69	256	0.940	bicubic
337	xcit_tiny_12_p16_384_dist	94.530	5.470	99.170	0.830	6.72	384	1.000	bicubic
338	regnety_320	94.520	5.480	99.170	0.830	145.05	224	0.875	bicubic
339	haloregnetz_b	94.520	5.480	98.960	1.040	11.68	224	0.940	bicubic
340	mobilevitv2_200	94.510	5.490	98.970	1.030	18.45	256	0.888	bicubic
341	repvgg_b3g4	94.500	5.500	99.020	0.980	83.83	224	0.875	bilinear
342	ecaresnet101d_pruned	94.460	5.540	99.090	0.910	24.88	224	0.875	bicubic
343	gluon_seresnext101_32x4d	94.450	5.550	99.090	0.910	48.96	224	0.875	bicubic
344	gluon_resnet152_v1d	94.440	5.560	99.010	0.990	60.21	224	0.875	bicubic
345	convmixer_768_32	94.430	5.570	99.110	0.890	21.11	224	0.960	bicubic
346	levit_256	94.410	5.590	99.060	0.940	18.89	224	0.900	bicubic
347	gcresnext50ts	94.410	5.590	98.990	1.010	15.67	256	0.900	bicubic
348	nf_resnet50	94.390	5.610	99.070	0.930	25.56	288	0.940	bicubic
349	resnest50d_1s4x24d	94.390	5.610	99.070	0.930	25.68	224	0.875	bicubic
350	vit_base_patch32_224	94.390	5.610	99.060	0.940	88.22	224	0.900	bicubic
351	inception_v4	94.380	5.620	98.820	1.180	42.68	299	0.875	bicubic
352	efficientnet_b2	94.370	5.630	99.050	0.950	9.11	288	1.000	bicubic
353	tf_efficientnet_el	94.360	5.640	99.100	0.900	10.59	300	0.904	bicubic
354	xcit_tiny_12_p8_224	94.360	5.640	99.070	0.930	6.71	224	1.000	bicubic
355	darknet53	94.360	5.640	99.050	0.950	41.61	288	1.000	bicubic
356	edgenext_small_rw	94.360	5.640	99.040	0.960	7.83	320	1.000	bicubic
357	gluon_resnext101_64x4d	94.350	5.650	98.880	1.120	83.46	224	0.875	bicubic
358	resmlp_24_distilled_224	94.340	5.660	99.090	0.910	30.02	224	0.875	bicubic
359	poolformer_s24	94.330	5.670	99.060	0.940	21.39	224	0.900	bicubic
360	inception_resnet_v2	94.330	5.670	98.800	1.200	55.84	299	0.897	bicubic
361	ssl_resnet50	94.320	5.680	99.150	0.850	25.56	224	0.875	bilinear
362	sebotnet33ts_256	94.310	5.690	98.600	1.400	13.70	256	0.940	bicubic
363	rexnet_150	94.280	5.720	99.080	0.920	9.73	224	0.875	bicubic
364	tf_efficientnet_b2_ap	94.270	5.730	98.950	1.050	9.11	260	0.890	bicubic
365	resnetv2_50	94.270	5.730	98.930	1.070	25.55	224	0.950	bicubic
366	seresnet33ts	94.270	5.730	98.780	1.220	19.78	256	0.900	bicubic
367	regnetx_120	94.260	5.740	99.190	0.810	46.11	224	0.875	bicubic
368	resmlp_big_24_224	94.260	5.740	98.820	1.180	129.14	224	0.875	bicubic
369	cspresnext50	94.240	5.760	99.050	0.950	20.57	256	0.887	bilinear
370	mobilevitv2_175	94.230	5.770	98.930	1.070	14.25	256	0.888	bicubic
371	mixnet_xl	94.230	5.770	98.820	1.180	11.90	224	0.875	bicubic
372	regnetx_320	94.220	5.780	99.050	0.950	107.81	224	0.875	bicubic
373	xcit_tiny_24_p16_224_dist	94.220	5.780	98.960	1.040	12.12	224	1.000	bicubic
374	tf_efficientnet_b2	94.210	5.790	99.040	0.960	9.11	260	0.890	bicubic
375	darknetaa53	94.210	5.790	98.950	1.050	36.02	288	1.000	bilinear
376	ecaresnet50d	94.200	5.800	99.020	0.980	25.58	224	0.875	bicubic
377	gluon_resnet101_v1d	94.180	5.820	98.940	1.060	44.57	224	0.875	bicubic
378	dpn92	94.180	5.820	98.930	1.070	37.67	224	0.875	bicubic
379	resnet50_gn	94.180	5.820	98.920	1.080	25.56	224	0.940	bicubic
380	gluon_resnet101_v1s	94.170	5.830	99.010	0.990	44.67	224	0.875	bicubic
381	gluon_seresnext50_32x4d	94.170	5.830	98.910	1.090	27.56	224	0.875	bicubic
382	ecaresnetlight	94.140	5.860	98.950	1.050	30.16	224	0.875	bicubic
383	legacy_seresnext101_32x4d	94.120	5.880	98.970	1.030	48.96	224	0.875	bilinear
384	gluon_resnext101_32x4d	94.120	5.880	98.930	1.070	44.18	224	0.875	bicubic
385	ens_adv_inception_resnet_v2	94.120	5.880	98.790	1.210	55.84	299	0.897	bicubic
386	tf_efficientnet_lite3	94.110	5.890	98.960	1.040	8.20	300	0.904	bilinear
387	efficientnet_el_pruned	94.090	5.910	99.010	0.990	10.59	300	0.904	bicubic
388	cspdarknet53	94.090	5.910	98.980	1.020	27.64	256	0.887	bilinear
389	seresnet50	94.080	5.920	98.950	1.050	28.09	224	0.875	bicubic
390	resnet50d	94.070	5.930	98.920	1.080	25.58	224	0.875	bicubic
391	mobilevitv2_150	94.070	5.930	98.900	1.100	10.59	256	0.888	bicubic
392	tf_efficientnetv2_b2	94.060	5.940	98.930	1.070	10.10	260	0.890	bicubic
393	hrnet_w48	94.030	5.970	99.030	0.970	77.47	224	0.875	bilinear
394	gluon_resnet152_v1b	94.030	5.970	98.750	1.250	60.19	224	0.875	bicubic
395	resnetrs50	94.020	5.980	98.850	1.150	35.69	224	0.910	bicubic
396	regnety_120	94.010	5.990	99.030	0.970	51.82	224	0.875	bicubic
397	gluon_xception65	94.010	5.990	99.020	0.980	39.92	299	0.903	bicubic
398	dla102x2	94.000	6.000	99.030	0.970	41.28	224	0.875	bilinear
399	deit_small_patch16_224	93.990	6.010	98.960	1.040	22.05	224	0.900	bicubic
400	ecaresnet26t	93.960	6.040	98.920	1.080	16.01	320	0.950	bicubic
401	dpn107	93.960	6.040	98.830	1.170	86.92	224	0.875	bicubic
402	skresnext50_32x4d	93.950	6.050	98.830	1.170	27.48	224	0.875	bicubic
403	dpn98	93.930	6.070	98.920	1.080	61.57	224	0.875	bicubic
404	cait_xxs36_224	93.930	6.070	98.890	1.110	17.30	224	1.000	bicubic
405	resnet50	93.930	6.070	98.470	1.530	25.56	224	0.950	bicubic
406	regnetx_160	93.890	6.110	99.090	0.910	54.28	224	0.875	bicubic
407	vit_base_patch16_224_sam	93.890	6.110	98.890	1.110	86.57	224	0.900	bicubic
408	gluon_resnet152_v1c	93.890	6.110	98.800	1.200	60.21	224	0.875	bicubic
409	xception71	93.880	6.120	98.950	1.050	42.34	299	0.903	bicubic
410	nf_regnet_b1	93.880	6.120	98.750	1.250	10.22	288	0.900	bicubic
411	eca_resnet33ts	93.860	6.140	98.890	1.110	19.68	256	0.900	bicubic
412	cspresnet50	93.860	6.140	98.860	1.140	21.62	256	0.887	bilinear
413	fbnetv3_d	93.850	6.150	98.910	1.090	10.31	256	0.950	bilinear
414	ese_vovnet39b	93.850	6.150	98.900	1.100	24.57	224	0.875	bicubic
415	xcit_tiny_24_p16_224	93.840	6.160	98.760	1.240	12.12	224	1.000	bicubic
416	hrnet_w64	93.830	6.170	98.920	1.080	128.06	224	0.875	bilinear
417	gcresnet33ts	93.830	6.170	98.910	1.090	19.88	256	0.900	bicubic
418	ecaresnet50d_pruned	93.820	6.180	99.000	1.000	19.94	224	0.875	bicubic
419	repvgg_b2g4	93.820	6.180	98.930	1.070	61.76	224	0.875	bilinear
420	resnext50d_32x4d	93.820	6.180	98.740	1.260	25.05	224	0.875	bicubic
421	efficientnet_b2_pruned	93.800	6.200	98.910	1.090	8.31	260	0.890	bicubic
422	regnetx_080	93.790	6.210	98.900	1.100	39.57	224	0.875	bicubic
423	dla169	93.790	6.210	98.830	1.170	53.39	224	0.875	bilinear
424	resnext101_32x8d	93.770	6.230	98.950	1.050	88.79	224	0.875	bilinear
425	gluon_resnet101_v1b	93.760	6.240	98.700	1.300	44.55	224	0.875	bicubic
426	tf_efficientnet_b0_ns	93.750	6.250	98.970	1.030	5.29	224	0.875	bicubic
427	dpn131	93.750	6.250	98.830	1.170	79.25	224	0.875	bicubic
428	efficientnet_em	93.740	6.260	98.930	1.070	6.90	240	0.882	bicubic
429	wide_resnet101_2	93.720	6.280	98.810	1.190	126.89	224	0.875	bilinear
430	levit_192	93.720	6.280	98.790	1.210	10.95	224	0.900	bicubic
431	tf_efficientnetv2_b1	93.710	6.290	98.820	1.180	8.14	240	0.882	bicubic
432	resnetblur50	93.710	6.290	98.810	1.190	25.56	224	0.875	bicubic
433	hrnet_w40	93.710	6.290	98.800	1.200	57.56	224	0.875	bilinear
434	tf_efficientnet_b1	93.710	6.290	98.800	1.200	7.79	240	0.882	bicubic
435	gluon_resnet101_v1c	93.680	6.320	98.760	1.240	44.57	224	0.875	bicubic
436	regnetx_040	93.670	6.330	98.940	1.060	22.12	224	0.875	bicubic
437	rexnet_130	93.670	6.330	98.700	1.300	7.56	224	0.875	bicubic
438	resmlp_36_224	93.650	6.350	98.950	1.050	44.69	224	0.875	bicubic
439	gluon_resnext50_32x4d	93.650	6.350	98.690	1.310	25.03	224	0.875	bicubic
440	xception	93.640	6.360	98.760	1.240	22.86	299	0.897	bicubic
441	fbnetv3_b	93.630	6.370	98.910	1.090	8.60	256	0.950	bilinear
442	tf_efficientnet_b1_ap	93.630	6.370	98.800	1.200	7.79	240	0.882	bicubic
443	resnet33ts	93.630	6.370	98.760	1.240	19.68	256	0.900	bicubic
444	regnetx_064	93.620	6.380	99.050	0.950	26.21	224	0.875	bicubic
445	dpn68b	93.620	6.380	98.700	1.300	12.61	224	0.875	bicubic
446	hrnet_w44	93.610	6.390	98.960	1.040	67.06	224	0.875	bilinear
447	halonet26t	93.610	6.390	98.640	1.360	12.48	256	0.950	bicubic
448	res2net50_26w_6s	93.600	6.400	98.750	1.250	37.05	224	0.875	bilinear
449	repvgg_b2	93.590	6.410	99.070	0.930	89.02	224	0.875	bilinear
450	gluon_resnet50_v1s	93.590	6.410	98.840	1.160	25.68	224	0.875	bicubic
451	tf_efficientnet_cc_b1_8e	93.570	6.430	98.690	1.310	39.72	240	0.882	bicubic
452	resnet32ts	93.560	6.440	98.750	1.250	17.96	256	0.900	bicubic
453	eca_halonext26ts	93.560	6.440	98.680	1.320	10.76	256	0.940	bicubic
454	dla60_res2next	93.550	6.450	98.780	1.220	17.03	224	0.875	bilinear
455	gluon_inception_v3	93.540	6.460	98.830	1.170	23.83	299	0.875	bicubic
456	dla102x	93.530	6.470	98.850	1.150	26.31	224	0.875	bilinear
457	gluon_resnet50_v1d	93.530	6.470	98.710	1.290	25.58	224	0.875	bicubic
458	res2net101_26w_4s	93.530	6.470	98.600	1.400	45.21	224	0.875	bilinear
459	gmlp_s16_224	93.510	6.490	98.780	1.220	19.42	224	0.875	bicubic
460	coat_tiny	93.510	6.490	98.690	1.310	5.50	224	0.900	bicubic
461	selecsls60b	93.500	6.500	98.840	1.160	32.77	224	0.875	bicubic
462	cait_xxs24_224	93.490	6.510	98.770	1.230	11.96	224	1.000	bicubic
463	xception41	93.480	6.520	98.750	1.250	26.97	299	0.903	bicubic
464	mobilevitv2_125	93.460	6.540	98.860	1.140	7.48	256	0.888	bicubic
465	coat_lite_mini	93.460	6.540	98.780	1.220	11.01	224	0.900	bicubic
466	vit_tiny_patch16_384	93.440	6.560	98.830	1.170	5.79	384	1.000	bicubic
467	resmlp_24_224	93.440	6.560	98.810	1.190	30.02	224	0.875	bicubic
468	res2net50_26w_8s	93.440	6.560	98.690	1.310	48.40	224	0.875	bilinear
469	lambda_resnet26rpt_256	93.430	6.570	98.880	1.120	10.99	256	0.940	bicubic
470	legacy_seresnet152	93.430	6.570	98.850	1.150	66.82	224	0.875	bilinear
471	botnet26t_256	93.430	6.570	98.650	1.350	12.49	256	0.950	bicubic
472	legacy_seresnext50_32x4d	93.420	6.580	98.800	1.200	27.56	224	0.875	bilinear
473	repvgg_b1	93.410	6.590	98.790	1.210	57.42	224	0.875	bilinear
474	lambda_resnet26t	93.400	6.600	98.730	1.270	10.96	256	0.940	bicubic
475	hrnet_w30	93.380	6.620	98.830	1.170	37.71	224	0.875	bilinear
476	dla60_res2net	93.370	6.630	98.840	1.160	20.85	224	0.875	bilinear
477	eca_botnext26ts_256	93.370	6.630	98.700	1.300	10.59	256	0.950	bicubic
478	xcit_tiny_12_p16_224_dist	93.350	6.650	98.740	1.260	6.72	224	1.000	bicubic
479	xcit_nano_12_p8_384_dist	93.270	6.730	98.850	1.150	3.05	384	1.000	bicubic
480	legacy_seresnet101	93.270	6.730	98.740	1.260	49.33	224	0.875	bilinear
481	mixnet_l	93.270	6.730	98.700	1.300	7.33	224	0.875	bicubic
482	dla102	93.260	6.740	98.770	1.230	33.27	224	0.875	bilinear
483	cs3darknet_m	93.260	6.740	98.720	1.280	9.31	288	0.950	bicubic
484	tv_resnet152	93.250	6.750	98.750	1.250	60.19	224	0.875	bilinear
485	regnetx_032	93.250	6.750	98.730	1.270	15.30	224	0.875	bicubic
486	resnest26d	93.240	6.760	98.850	1.150	17.07	224	0.875	bilinear
487	pit_xs_distilled_224	93.240	6.760	98.830	1.170	11.00	224	0.900	bicubic
488	tf_inception_v3	93.200	6.800	98.480	1.520	23.83	299	0.875	bicubic
489	dla60x	93.190	6.810	98.710	1.290	17.35	224	0.875	bilinear
490	res2net50_26w_4s	93.180	6.820	98.670	1.330	25.70	224	0.875	bilinear
491	tf_efficientnet_em	93.170	6.830	98.670	1.330	6.90	240	0.882	bicubic
492	mobilevit_s	93.160	6.840	98.770	1.230	5.58	256	0.900	bicubic
493	res2next50	93.160	6.840	98.650	1.350	24.67	224	0.875	bilinear
494	vit_relpos_base_patch32_plus_rpn_256	93.160	6.840	98.320	1.680	119.42	256	0.900	bicubic
495	mobilevitv2_100	93.130	6.870	98.760	1.240	4.90	256	0.888	bicubic
496	cs3darknet_focus_m	93.110	6.890	98.740	1.260	9.30	288	0.950	bicubic
497	bat_resnext26ts	93.100	6.900	98.730	1.270	10.73	256	0.900	bicubic
498	tf_efficientnetv2_b0	93.060	6.940	98.690	1.310	7.14	224	0.875	bicubic
499	levit_128	93.050	6.950	98.700	1.300	9.21	224	0.900	bicubic
500	res2net50_14w_8s	93.040	6.960	98.700	1.300	25.06	224	0.875	bilinear
501	tf_mixnet_l	93.040	6.960	98.540	1.460	7.33	224	0.875	bicubic
502	repvgg_b1g4	93.030	6.970	98.820	1.180	39.97	224	0.875	bilinear
503	efficientnet_b1	93.020	6.980	98.710	1.290	7.79	256	1.000	bicubic
504	selecsls60	93.010	6.990	98.830	1.170	30.67	224	0.875	bicubic
505	adv_inception_v3	93.010	6.990	98.490	1.510	23.83	299	0.875	bicubic
506	regnety_016	93.000	7.000	98.680	1.320	11.20	224	0.875	bicubic
507	hardcorenas_f	92.980	7.020	98.620	1.380	8.20	224	0.875	bilinear
508	efficientnet_b1_pruned	92.970	7.030	98.520	1.480	6.33	240	0.882	bicubic
509	hrnet_w32	92.950	7.050	98.840	1.160	41.23	224	0.875	bilinear
510	hardcorenas_e	92.940	7.060	98.580	1.420	8.07	224	0.875	bilinear
511	efficientnet_es	92.920	7.080	98.690	1.310	5.44	224	0.875	bicubic
512	pit_xs_224	92.910	7.090	98.780	1.220	10.62	224	0.900	bicubic
513	tv_resnext50_32x4d	92.910	7.090	98.720	1.280	25.03	224	0.875	bilinear
514	gluon_resnet50_v1c	92.910	7.090	98.700	1.300	25.58	224	0.875	bicubic
515	densenet161	92.900	7.100	98.810	1.190	28.68	224	0.875	bicubic
516	inception_v3	92.900	7.100	98.330	1.670	23.83	299	0.875	bicubic
517	tv_resnet101	92.880	7.120	98.660	1.340	44.55	224	0.875	bilinear
518	resmlp_12_distilled_224	92.870	7.130	98.620	1.380	15.35	224	0.875	bicubic
519	tf_efficientnet_cc_b0_8e	92.870	7.130	98.450	1.550	24.01	224	0.875	bicubic
520	coat_lite_tiny	92.860	7.140	98.640	1.360	5.72	224	0.900	bicubic
521	rexnet_100	92.850	7.150	98.620	1.380	4.80	224	0.875	bicubic
522	tf_efficientnet_cc_b0_4e	92.830	7.170	98.440	1.560	13.31	224	0.875	bicubic
523	seresnext26ts	92.820	7.180	98.600	1.400	10.39	256	0.900	bicubic
524	seresnext26t_32x4d	92.820	7.180	98.560	1.440	16.81	224	0.875	bicubic
525	tinynet_a	92.810	7.190	98.560	1.440	6.19	192	0.875	bicubic
526	res2net50_48w_2s	92.790	7.210	98.480	1.520	25.29	224	0.875	bilinear
527	hrnet_w18	92.760	7.240	98.660	1.340	21.30	224	0.875	bilinear
528	crossvit_9_dagger_240	92.760	7.240	98.510	1.490	8.78	240	0.875	bicubic
529	densenet201	92.700	7.300	98.650	1.350	20.01	224	0.875	bicubic
530	repvgg_a2	92.680	7.320	98.520	1.480	28.21	224	0.875	bilinear
531	gmixer_24_224	92.680	7.320	98.280	1.720	24.72	224	0.875	bicubic
532	legacy_seresnet50	92.670	7.330	98.650	1.350	28.09	224	0.875	bilinear
533	resnet26t	92.670	7.330	98.580	1.420	16.01	256	0.940	bicubic
534	dla60	92.660	7.340	98.630	1.370	22.04	224	0.875	bilinear
535	resnet34d	92.650	7.350	98.420	1.580	21.82	224	0.875	bicubic
536	tf_efficientnet_b0_ap	92.620	7.380	98.370	1.630	5.29	224	0.875	bicubic
537	mobilenetv2_120d	92.610	7.390	98.500	1.500	5.83	224	0.875	bicubic
538	tf_efficientnet_lite2	92.600	7.400	98.550	1.450	6.09	260	0.890	bicubic
539	hardcorenas_d	92.600	7.400	98.430	1.570	7.50	224	0.875	bilinear
540	legacy_seresnext26_32x4d	92.590	7.410	98.410	1.590	16.79	224	0.875	bicubic
541	skresnet34	92.570	7.430	98.520	1.480	22.28	224	0.875	bicubic
542	gluon_resnet50_v1b	92.560	7.440	98.550	1.450	25.56	224	0.875	bicubic
543	regnetx_016	92.530	7.470	98.550	1.450	9.19	224	0.875	bicubic
544	efficientnet_b0	92.480	7.520	98.680	1.320	5.29	224	0.875	bicubic
545	selecsls42b	92.480	7.520	98.440	1.560	32.46	224	0.875	bicubic
546	poolformer_s12	92.470	7.530	98.350	1.650	11.92	224	0.900	bicubic
547	xcit_tiny_12_p16_224	92.460	7.540	98.630	1.370	6.72	224	1.000	bicubic
548	gcresnext26ts	92.460	7.540	98.490	1.510	10.48	256	0.900	bicubic
549	gernet_s	92.440	7.560	98.500	1.500	8.17	224	0.875	bilinear
550	seresnext26d_32x4d	92.430	7.570	98.540	1.460	16.81	224	0.875	bicubic
551	xcit_nano_12_p8_224_dist	92.420	7.580	98.520	1.480	3.05	224	1.000	bicubic
552	eca_resnext26ts	92.410	7.590	98.620	1.380	10.30	256	0.900	bicubic
553	densenetblur121d	92.410	7.590	98.420	1.580	8.00	224	0.875	bicubic
554	tf_efficientnet_b0	92.400	7.600	98.470	1.530	5.29	224	0.875	bicubic
555	hardcorenas_c	92.360	7.640	98.350	1.650	5.52	224	0.875	bilinear
556	convmixer_1024_20_ks9_p14	92.350	7.650	98.420	1.580	24.38	224	0.960	bicubic
557	tf_efficientnet_lite1	92.310	7.690	98.490	1.510	5.42	240	0.882	bicubic
558	densenet169	92.290	7.710	98.590	1.410	14.15	224	0.875	bicubic
559	mixnet_m	92.270	7.730	98.350	1.650	5.01	224	0.875	bicubic
560	mobilenetv3_large_100_miil	92.270	7.730	98.240	1.760	5.48	224	0.875	bilinear
561	resnet26d	92.260	7.740	98.450	1.550	16.01	224	0.875	bicubic
562	dpn68	92.250	7.750	98.610	1.390	12.61	224	0.875	bicubic
563	resnext26ts	92.220	7.780	98.250	1.750	10.30	256	0.900	bicubic
564	tf_mixnet_m	92.210	7.790	98.420	1.580	5.01	224	0.875	bicubic
565	vit_small_patch32_224	92.160	7.840	98.510	1.490	22.88	224	0.900	bicubic
566	xcit_nano_12_p16_384_dist	92.130	7.870	98.520	1.480	3.05	384	1.000	bicubic
567	tv_resnet50	92.130	7.870	98.420	1.580	25.56	224	0.875	bilinear
568	resmlp_12_224	92.120	7.880	98.570	1.430	15.35	224	0.875	bicubic
569	tf_efficientnet_es	92.120	7.880	98.430	1.570	5.44	224	0.875	bicubic
570	mobilenetv2_140	92.040	7.960	98.250	1.750	6.11	224	0.875	bicubic
571	ese_vovnet19b_dw	92.000	8.000	98.510	1.490	6.54	224	0.875	bicubic
572	mobilevitv2_075	91.970	8.030	98.300	1.700	2.87	256	0.888	bicubic
573	densenet121	91.940	8.060	98.280	1.720	7.98	224	0.875	bicubic
574	hardcorenas_b	91.930	8.070	98.400	1.600	5.18	224	0.875	bilinear
575	vit_tiny_patch16_224	91.910	8.090	98.340	1.660	5.72	224	0.900	bicubic
576	regnety_008	91.900	8.100	98.420	1.580	6.26	224	0.875	bicubic
577	mixnet_s	91.770	8.230	98.300	1.700	4.13	224	0.875	bicubic
578	vit_tiny_r_s16_p8_384	91.730	8.270	98.430	1.570	6.36	384	1.000	bicubic
579	efficientnet_es_pruned	91.710	8.290	98.410	1.590	5.44	224	0.875	bicubic
580	tf_mixnet_s	91.690	8.310	98.240	1.760	4.13	224	0.875	bicubic
581	repvgg_b0	91.680	8.320	98.450	1.550	15.82	224	0.875	bilinear
582	semnasnet_100	91.660	8.340	98.270	1.730	3.89	224	0.875	bicubic
583	hardcorenas_a	91.620	8.380	98.170	1.830	5.26	224	0.875	bilinear
584	regnety_006	91.550	8.450	98.430	1.570	6.06	224	0.875	bicubic
585	mobilenetv3_rw	91.550	8.450	98.280	1.720	5.48	224	0.875	bicubic
586	levit_128s	91.500	8.500	98.400	1.600	7.78	224	0.900	bicubic
587	legacy_seresnet34	91.490	8.510	98.200	1.800	21.96	224	0.875	bilinear
588	mobilenetv3_large_100	91.480	8.520	98.320	1.680	5.48	224	0.875	bicubic
589	resnet26	91.440	8.560	98.260	1.740	16.00	224	0.875	bicubic
590	tf_mobilenetv3_large_100	91.420	8.580	98.260	1.740	5.48	224	0.875	bilinear
591	tv_densenet121	91.400	8.600	98.250	1.750	7.98	224	0.875	bicubic
592	edgenext_x_small	91.400	8.600	98.160	1.840	2.34	256	0.900	bicubic
593	mobilenetv2_110d	91.330	8.670	98.190	1.810	4.52	224	0.875	bicubic
594	tf_efficientnet_lite0	91.300	8.700	98.090	1.910	4.65	224	0.875	bicubic
595	efficientnet_lite0	91.260	8.740	98.250	1.750	4.65	224	0.875	bicubic
596	fbnetc_100	91.250	8.750	97.850	2.150	5.57	224	0.875	bilinear
597	dla34	91.230	8.770	98.170	1.830	15.74	224	0.875	bilinear
598	mnasnet_100	91.210	8.790	98.050	1.950	4.38	224	0.875	bicubic
599	resnet34	91.200	8.800	98.240	1.760	21.80	224	0.875	bilinear
600	mobilevit_xs	91.200	8.800	98.220	1.780	2.32	256	0.900	bicubic
601	hrnet_w18_small_v2	91.170	8.830	98.330	1.670	15.60	224	0.875	bilinear
602	regnetx_008	91.160	8.840	98.380	1.620	7.26	224	0.875	bicubic
603	mixer_b16_224	91.150	8.850	97.400	2.600	59.88	224	0.875	bicubic
604	tinynet_b	91.140	8.860	98.060	1.940	3.73	188	0.875	bicubic
605	resnest14d	91.130	8.870	98.330	1.670	10.61	224	0.875	bilinear
606	xcit_nano_12_p8_224	91.130	8.870	98.230	1.770	3.05	224	1.000	bicubic
607	gluon_resnet34_v1b	91.100	8.900	98.180	1.820	21.80	224	0.875	bicubic
608	deit_tiny_distilled_patch16_224	91.080	8.920	98.270	1.730	5.91	224	0.900	bicubic
609	swsl_resnet18	91.070	8.930	98.210	1.790	11.69	224	0.875	bilinear
610	crossvit_9_240	91.050	8.950	98.310	1.690	8.55	240	0.875	bicubic
611	vgg19_bn	90.990	9.010	98.110	1.890	143.68	224	0.875	bilinear
612	pit_ti_distilled_224	90.900	9.100	98.220	1.780	5.10	224	0.900	bicubic
613	regnetx_006	90.770	9.230	98.100	1.900	6.20	224	0.875	bicubic
614	regnety_004	90.770	9.230	98.080	1.920	4.34	224	0.875	bicubic
615	ssl_resnet18	90.700	9.300	98.030	1.970	11.69	224	0.875	bilinear
616	spnasnet_100	90.600	9.400	97.960	2.040	4.42	224	0.875	bilinear
617	convit_tiny	90.550	9.450	98.220	1.780	5.71	224	0.875	bicubic
618	vgg16_bn	90.540	9.460	97.990	2.010	138.37	224	0.875	bilinear
619	crossvit_tiny_240	90.540	9.460	97.940	2.060	7.01	240	0.875	bicubic
620	pit_ti_224	90.440	9.560	98.010	1.990	4.85	224	0.900	bicubic
621	ghostnet_100	90.440	9.560	97.830	2.170	5.18	224	0.875	bilinear
622	tf_mobilenetv3_large_075	90.330	9.670	97.880	2.120	3.99	224	0.875	bilinear
623	tv_resnet34	90.290	9.710	97.980	2.020	21.80	224	0.875	bilinear
624	semnasnet_075	90.210	9.790	97.970	2.030	2.91	224	0.875	bicubic
625	skresnet18	90.170	9.830	97.780	2.220	11.96	224	0.875	bicubic
626	xcit_nano_12_p16_224_dist	90.170	9.830	97.750	2.250	3.05	224	1.000	bicubic
627	resnet18d	89.980	10.020	97.830	2.170	11.71	224	0.875	bicubic
628	hrnet_w18_small	89.870	10.130	97.890	2.110	13.19	224	0.875	bilinear
629	vit_base_patch32_224_sam	89.860	10.140	97.600	2.400	88.22	224	0.900	bicubic
630	mobilenetv2_100	89.820	10.180	97.830	2.170	3.50	224	0.875	bicubic
631	vgg19	89.680	10.320	97.550	2.450	143.67	224	0.875	bilinear
632	deit_tiny_patch16_224	89.620	10.380	97.960	2.040	5.72	224	0.900	bicubic
633	regnetx_004	89.470	10.530	97.770	2.230	5.16	224	0.875	bicubic
634	vgg16	89.360	10.640	97.520	2.480	138.36	224	0.875	bilinear
635	vit_tiny_r_s16_p8_224	89.350	10.650	97.700	2.300	6.34	224	0.900	bicubic
636	legacy_seresnet18	89.260	10.740	97.690	2.310	11.78	224	0.875	bicubic
637	edgenext_xx_small	89.230	10.770	97.260	2.740	1.33	256	0.900	bicubic
638	vgg13_bn	89.210	10.790	97.520	2.480	133.05	224	0.875	bilinear
639	tf_mobilenetv3_large_minimal_100	89.180	10.820	97.320	2.680	3.92	224	0.875	bilinear
640	resnet14t	89.110	10.890	97.370	2.630	10.08	224	0.950	bilinear
641	mobilevitv2_050	89.050	10.950	97.590	2.410	1.37	256	0.888	bicubic
642	lcnet_100	88.970	11.030	97.380	2.620	2.95	224	0.875	bicubic
643	xcit_nano_12_p16_224	88.960	11.040	97.400	2.600	3.05	224	1.000	bicubic
644	gluon_resnet18_v1b	88.660	11.340	97.100	2.900	11.69	224	0.875	bicubic
645	tinynet_c	88.420	11.580	97.270	2.730	2.46	184	0.875	bicubic
646	vgg11_bn	88.390	11.610	97.270	2.730	132.87	224	0.875	bilinear
647	regnety_002	88.190	11.810	97.440	2.560	3.16	224	0.875	bicubic
648	resnet18	88.150	11.850	97.120	2.880	11.69	224	0.875	bilinear
649	mobilevit_xxs	87.950	12.050	97.180	2.820	1.27	256	0.900	bicubic
650	vgg13	87.570	12.430	97.120	2.880	133.05	224	0.875	bilinear
651	regnetx_002	87.380	12.620	96.990	3.010	2.68	224	0.875	bicubic
652	vgg11	87.340	12.660	97.110	2.890	132.86	224	0.875	bilinear
653	dla60x_c	87.130	12.870	97.140	2.860	1.32	224	0.875	bilinear
654	mixer_l16_224	86.970	13.030	94.050	5.950	208.20	224	0.875	bicubic
655	lcnet_075	86.940	13.060	96.530	3.470	2.36	224	0.875	bicubic
656	resnet10t	86.730	13.270	96.670	3.330	5.44	224	0.950	bilinear
657	mobilenetv3_small_100	86.180	13.820	96.460	3.540	2.54	224	0.875	bicubic
658	tf_mobilenetv3_small_100	85.970	14.030	96.400	3.600	2.54	224	0.875	bilinear
659	mnasnet_small	85.510	14.490	95.980	4.020	2.03	224	0.875	bicubic
660	dla46x_c	85.460	14.540	96.450	3.550	1.07	224	0.875	bilinear
661	tinynet_d	85.420	14.580	96.020	3.980	2.34	152	0.875	bicubic
662	mobilenetv2_050	85.010	14.990	95.620	4.380	1.97	224	0.875	bicubic
663	dla46_c	84.660	15.340	96.210	3.790	1.30	224	0.875	bilinear
664	tf_mobilenetv3_small_075	84.520	15.480	95.890	4.110	2.04	224	0.875	bilinear
665	mobilenetv3_small_075	84.120	15.880	95.500	4.500	2.04	224	0.875	bicubic
666	lcnet_050	83.010	16.990	95.010	4.990	1.88	224	0.875	bicubic
667	tf_mobilenetv3_small_minimal_100	82.690	17.310	95.000	5.000	2.04	224	0.875	bilinear
668	tinynet_e	79.800	20.200	93.980	6.020	2.04	106	0.875	bicubic
669	mobilenetv3_small_050	78.100	21.900	93.010	6.990	1.59	224	0.875	bicubic