pytorch-image-models/results/benchmark-infer-amp-nhwc-pt110-cu113-rtx3090.csv

1	model	infer_samples_per_sec	infer_step_time	infer_batch_size	infer_img_size	infer_gmacs	infer_macts	param_count
2	tinynet_e	52443.33	4.87	256	106	0.03	0.69	2.04
3	lcnet_035	41836.65	6.108	256	224	0.03	1.04	1.64
4	mobilenetv3_small_050	40675.32	6.283	256	224	0.03	0.92	1.59
5	lcnet_050	37031.22	6.902	256	224	0.05	1.26	1.88
6	mobilenetv3_small_075	33134.36	7.715	256	224	0.05	1.3	2.04
7	mobilenetv3_small_100	30332.75	8.428	256	224	0.06	1.42	2.54
8	tinynet_d	29729.64	8.599	256	152	0.05	1.42	2.34
9	tf_mobilenetv3_small_minimal_100	28698.97	8.909	256	224	0.06	1.41	2.04
10	tf_mobilenetv3_small_075	27515.61	9.292	256	224	0.05	1.3	2.04
11	tf_mobilenetv3_small_100	25529.73	10.016	256	224	0.06	1.42	2.54
12	lcnet_075	25351.21	10.087	256	224	0.1	1.99	2.36
13	lcnet_100	21251.26	12.035	256	224	0.16	2.52	2.95
14	mnasnet_small	20610.12	12.41	256	224	0.07	2.16	2.03
15	levit_128s	18679.12	13.694	256	224	0.31	1.88	7.78
16	mobilenetv2_035	18422.82	13.885	256	224	0.07	2.86	1.68
17	ghostnet_050	17065.19	14.99	256	224	0.05	1.77	2.59
18	regnetx_002	17008.51	15.04	256	224	0.2	2.16	2.68
19	mnasnet_050	16943.72	15.098	256	224	0.11	3.07	2.22
20	tinynet_c	16089.67	15.9	256	184	0.11	2.87	2.46
21	mobilenetv2_050	15226.35	16.802	256	224	0.1	3.64	1.97
22	regnety_002	15182.41	16.851	256	224	0.2	2.17	3.16
23	semnasnet_050	14956.97	17.104	256	224	0.11	3.44	2.08
24	lcnet_150	14301.96	17.889	256	224	0.34	3.79	4.5
25	regnetx_004	13656.57	18.735	256	224	0.4	3.14	5.16
26	gernet_s	13307.64	19.226	256	224	0.75	2.65	8.17
27	mobilenetv3_large_075	12875.59	19.872	256	224	0.16	4.0	3.99
28	levit_128	12869.05	19.881	256	224	0.41	2.71	9.21
29	mnasnet_075	11851.07	21.591	256	224	0.23	4.77	3.17
30	mobilenetv3_rw	11749.18	21.778	256	224	0.23	4.41	5.48
31	hardcorenas_a	11724.1	21.825	256	224	0.23	4.38	5.26
32	mobilenetv3_large_100	11546.8	22.16	256	224	0.23	4.41	5.48
33	mobilenetv3_large_100_miil	11527.85	22.196	256	224	0.23	4.41	5.48
34	levit_192	11521.32	22.208	256	224	0.66	3.2	10.95
35	tf_mobilenetv3_large_075	11097.44	23.056	256	224	0.16	4.0	3.99
36	ese_vovnet19b_slim_dw	11011.34	23.237	256	224	0.4	5.28	1.9
37	tf_mobilenetv3_large_minimal_100	10807.48	23.676	256	224	0.22	4.4	3.92
38	tinynet_b	10794.3	23.705	256	188	0.21	4.44	3.73
39	hardcorenas_b	10649.59	24.027	256	224	0.26	5.09	5.18
40	hardcorenas_c	10616.11	24.103	256	224	0.28	5.01	5.52
41	mnasnet_100	10429.97	24.534	256	224	0.33	5.46	4.38
42	mnasnet_b1	10405.42	24.591	256	224	0.33	5.46	4.38
43	mixer_s32_224	10314.02	24.809	256	224	1.0	2.28	19.1
44	ssl_resnet18	10228.31	25.016	256	224	1.82	2.48	11.69
45	gluon_resnet18_v1b	10218.86	25.04	256	224	1.82	2.48	11.69
46	swsl_resnet18	10183.71	25.126	256	224	1.82	2.48	11.69
47	resnet18	10180.53	25.135	256	224	1.82	2.48	11.69
48	tf_mobilenetv3_large_100	10049.81	25.462	256	224	0.23	4.41	5.48
49	ghostnet_100	9984.48	25.628	256	224	0.15	3.55	5.18
50	mobilenetv2_075	9980.04	25.64	256	224	0.22	5.86	2.64
51	semnasnet_075	9964.54	25.68	256	224	0.23	5.54	2.91
52	hardcorenas_d	9736.47	26.282	256	224	0.3	4.93	7.5
53	seresnet18	9448.37	27.084	256	224	1.82	2.49	11.78
54	spnasnet_100	9378.19	27.285	256	224	0.35	6.03	4.42
55	vit_small_patch32_224	9330.47	27.426	256	224	1.15	2.5	22.88
56	regnety_006	9290.2	27.545	256	224	0.61	4.33	6.06
57	legacy_seresnet18	9195.77	27.828	256	224	1.82	2.49	11.78
58	mobilenetv2_100	8931.8	28.65	256	224	0.31	6.68	3.5
59	regnety_004	8913.44	28.71	256	224	0.41	3.89	4.34
60	semnasnet_100	8878.3	28.823	256	224	0.32	6.23	3.89
61	mnasnet_a1	8872.5	28.841	256	224	0.32	6.23	3.89
62	hardcorenas_f	8746.45	29.258	256	224	0.35	5.57	8.2
63	tinynet_a	8705.83	29.394	256	192	0.35	5.41	6.19
64	efficientnet_lite0	8678.08	29.489	256	224	0.4	6.74	4.65
65	levit_256	8605.17	29.738	256	224	1.13	4.23	18.89
66	fbnetc_100	8589.17	29.794	256	224	0.4	6.51	5.57
67	hardcorenas_e	8587.1	29.801	256	224	0.35	5.65	8.07
68	resnet18d	8454.18	30.27	256	224	2.06	3.29	11.71
69	tf_efficientnetv2_b0	8451.14	30.28	256	224	0.73	4.77	7.14
70	ese_vovnet19b_slim	8409.91	30.429	256	224	1.69	3.52	3.17
71	regnetx_008	8190.92	31.242	256	224	0.81	5.15	7.26
72	vit_tiny_r_s16_p8_224	8188.54	31.252	256	224	0.44	2.06	6.34
73	regnetx_006	7654.81	33.432	256	224	0.61	3.98	6.2
74	ghostnet_130	7516.11	34.049	256	224	0.24	4.6	7.36
75	tf_efficientnet_lite0	7513.34	34.061	256	224	0.4	6.74	4.65
76	regnety_008	7334.93	34.89	256	224	0.81	5.25	6.26
77	mnasnet_140	7212.43	35.483	256	224	0.6	7.71	7.12
78	efficientnet_b0	7189.76	35.595	256	224	0.4	6.75	5.29
79	rexnetr_100	6816.78	37.543	256	224	0.43	7.72	4.88
80	mobilenetv2_110d	6785.21	37.718	256	224	0.45	8.71	4.52
81	tf_efficientnet_b0_ns	6397.82	40.002	256	224	0.4	6.75	5.29
82	tf_efficientnet_b0_ap	6366.01	40.201	256	224	0.4	6.75	5.29
83	tf_efficientnet_b0	6345.74	40.33	256	224	0.4	6.75	5.29
84	hrnet_w18_small	6240.1	41.014	256	224	1.61	5.72	13.19
85	semnasnet_140	6194.36	41.317	256	224	0.6	8.87	6.11
86	ese_vovnet19b_dw	6016.74	42.537	256	224	1.34	8.25	6.54
87	mobilenetv2_140	6010.52	42.581	256	224	0.6	9.57	6.11
88	resnet34	5949.09	43.021	256	224	3.67	3.74	21.8
89	gluon_resnet34_v1b	5944.0	43.057	256	224	3.67	3.74	21.8
90	tv_resnet34	5920.52	43.227	256	224	3.67	3.74	21.8
91	gernet_m	5909.18	43.311	256	224	3.02	5.24	21.14
92	efficientnet_lite1	5815.72	44.007	256	240	0.62	10.14	5.42
93	selecsls42	5752.79	44.489	256	224	2.94	4.62	30.35
94	selecsls42b	5752.33	44.492	256	224	2.98	4.62	32.46
95	fbnetv3_b	5567.33	45.971	256	256	0.55	9.1	8.6
96	efficientnet_b1_pruned	5558.39	46.045	256	240	0.4	6.21	6.33
97	resnet26	5532.69	46.26	256	224	2.36	7.35	16.0
98	skresnet18	5529.57	46.284	256	224	1.82	3.24	11.96
99	efficientnet_es_pruned	5519.91	46.366	256	224	1.81	8.73	5.44
100	efficientnet_es	5518.49	46.378	256	224	1.81	8.73	5.44
101	tf_efficientnetv2_b1	5515.51	46.402	256	240	1.21	7.34	8.14
102	rexnet_100	5500.83	46.527	256	224	0.41	7.44	4.8
103	dla46_c	5464.03	46.84	256	224	0.58	4.5	1.3
104	seresnet34	5439.78	47.05	256	224	3.67	3.74	21.96
105	resnet34d	5325.4	48.06	256	224	3.91	4.54	21.82
106	resnetblur18	5301.3	48.279	256	224	2.34	3.39	11.69
107	legacy_seresnet34	5280.08	48.473	256	224	3.67	3.74	21.96
108	rexnetr_130	5239.92	48.845	256	224	0.68	9.81	7.61
109	tf_efficientnet_es	5226.26	48.971	256	224	1.81	8.73	5.44
110	tf_efficientnet_lite1	5192.67	49.288	256	240	0.62	10.14	5.42
111	levit_384	5136.88	49.824	256	224	2.36	6.26	39.13
112	nf_regnet_b0	5081.73	50.365	256	256	0.64	5.58	8.76
113	selecsls60	5015.37	51.032	256	224	3.59	5.52	30.67
114	selecsls60b	5008.51	51.102	256	224	3.63	5.52	32.77
115	mobilenetv2_120d	5006.42	51.123	256	224	0.69	11.97	5.83
116	repvgg_b0	4831.81	52.969	256	224	3.41	6.15	15.82
117	resnet26d	4774.01	53.612	256	224	2.6	8.15	16.01
118	rexnetr_150	4621.39	55.383	256	224	0.89	11.13	9.78
119	fbnetv3_d	4543.95	56.327	256	256	0.68	11.1	10.31
120	nf_resnet26	4522.01	56.601	256	224	2.41	7.35	16.0
121	deit_tiny_patch16_224	4516.94	56.664	256	224	1.26	5.97	5.72
122	visformer_tiny	4514.36	56.695	256	224	1.27	5.72	10.32
123	vit_tiny_patch16_224	4509.39	56.76	256	224	1.26	5.97	5.72
124	efficientnet_lite2	4476.87	57.171	256	260	0.89	12.9	6.09
125	xcit_nano_12_p16_224_dist	4461.13	57.373	256	224	0.56	4.17	3.05
126	deit_tiny_distilled_patch16_224	4450.37	57.513	256	224	1.27	6.01	5.91
127	xcit_nano_12_p16_224	4443.48	57.6	256	224	0.56	4.17	3.05
128	pit_ti_distilled_224	4267.82	59.972	256	224	0.71	6.23	5.1
129	pit_ti_224	4256.93	60.125	256	224	0.7	6.19	4.85
130	resmlp_12_distilled_224	4163.6	61.475	256	224	3.01	5.5	15.35
131	resmlp_12_224	4160.41	61.521	256	224	3.01	5.5	15.35
132	gernet_l	4096.96	62.474	256	256	4.57	8.0	31.08
133	tf_efficientnetv2_b2	4081.75	62.706	256	260	1.72	9.84	10.1
134	legacy_seresnext26_32x4d	4060.33	63.037	256	224	2.49	9.39	16.79
135	tf_efficientnet_b1	4046.06	63.259	256	240	0.71	10.88	7.79
136	tf_efficientnet_b1_ap	4044.6	63.282	256	240	0.71	10.88	7.79
137	tf_efficientnet_b1_ns	4042.64	63.313	256	240	0.71	10.88	7.79
138	tf_efficientnet_lite2	4027.76	63.547	256	260	0.89	12.9	6.09
139	resnext26ts	3956.89	64.685	256	256	2.43	10.52	10.3
140	dla46x_c	3913.74	65.398	256	224	0.54	5.66	1.07
141	efficientnet_b1	3903.13	65.577	256	256	0.77	12.22	7.79
142	dla34	3901.31	65.607	256	224	3.07	5.02	15.74
143	mixer_b32_224	3872.36	66.099	256	224	3.24	6.29	60.29
144	rexnet_130	3847.96	66.517	256	224	0.68	9.71	7.56
145	vit_base_patch32_224_sam	3843.13	66.599	256	224	4.41	5.01	88.22
146	nf_seresnet26	3833.86	66.763	256	224	2.41	7.36	17.4
147	eca_resnext26ts	3823.14	66.95	256	256	2.43	10.52	10.3
148	vit_base_patch32_224	3821.26	66.98	256	224	4.41	5.01	88.22
149	nf_ecaresnet26	3821.0	66.987	256	224	2.41	7.36	16.0
150	seresnext26ts	3814.04	67.108	256	256	2.43	10.52	10.39
151	dla60x_c	3762.66	68.025	256	224	0.59	6.01	1.32
152	efficientnet_b2_pruned	3734.36	68.542	256	260	0.73	9.13	8.31
153	regnetx_016	3682.98	69.498	256	224	1.62	7.93	9.19
154	resnet26t	3677.69	69.597	256	256	3.35	10.52	16.01
155	gcresnext26ts	3645.26	70.216	256	256	2.43	10.53	10.48
156	rexnet_150	3639.9	70.32	256	224	0.9	11.21	9.73
157	seresnext26tn_32x4d	3635.04	70.413	256	224	2.7	10.09	16.81
158	seresnext26t_32x4d	3629.32	70.524	256	224	2.7	10.09	16.81
159	ecaresnext50t_32x4d	3625.17	70.606	256	224	2.7	10.09	15.41
160	seresnext26d_32x4d	3620.48	70.696	256	224	2.73	10.19	16.81
161	ecaresnet50d_pruned	3618.55	70.735	256	224	2.53	6.43	19.94
162	ecaresnext26t_32x4d	3617.96	70.747	256	224	2.7	10.09	15.41
163	resnetv2_50	3573.69	71.622	256	224	4.11	11.11	25.55
164	eca_botnext26ts_256	3538.36	72.339	256	256	2.46	11.6	10.59
165	repvgg_a2	3525.89	72.594	256	224	5.7	6.26	28.21
166	pit_xs_224	3490.24	73.336	256	224	1.4	7.71	10.62
167	mixer_s16_224	3485.97	73.426	256	224	3.79	5.97	18.53
168	pit_xs_distilled_224	3470.1	73.761	256	224	1.41	7.76	11.0
169	eca_halonext26ts	3433.36	74.552	256	256	2.44	11.46	10.76
170	gluon_resnet50_v1b	3424.93	74.734	256	224	4.11	11.11	25.56
171	rexnetr_200	3422.25	74.791	256	224	1.59	15.11	16.52
172	ssl_resnet50	3418.93	74.864	256	224	4.11	11.11	25.56
173	resnet50	3416.87	74.911	256	224	4.11	11.11	25.56
174	tv_resnet50	3416.58	74.915	256	224	4.11	11.11	25.56
175	swsl_resnet50	3415.95	74.931	256	224	4.11	11.11	25.56
176	ecaresnetlight	3410.59	75.049	256	224	4.11	8.42	30.16
177	efficientnet_em	3345.86	76.5	256	240	3.04	14.34	6.9
178	dpn68b	3321.6	77.058	256	224	2.35	10.47	12.61
179	dpn68	3321.37	77.064	256	224	2.35	10.47	12.61
180	resnet32ts	3318.56	77.131	256	256	4.63	11.58	17.96
181	botnet26t_256	3309.73	77.335	256	256	3.32	11.98	12.49
182	resnet33ts	3269.93	78.278	256	256	4.76	11.66	19.68
183	resnetv2_50t	3252.33	78.701	256	224	4.32	11.82	25.57
184	halonet26t	3247.75	78.812	256	256	3.19	11.69	12.48
185	resnetv2_50d	3238.36	79.041	256	224	4.35	11.92	25.57
186	gluon_resnet50_v1c	3234.34	79.139	256	224	4.35	11.92	25.58
187	nf_regnet_b1	3220.71	79.473	256	288	1.02	9.2	10.22
188	tf_efficientnet_em	3211.19	79.71	256	240	3.04	14.34	6.9
189	nf_regnet_b2	3198.33	80.03	256	272	1.22	9.27	14.31
190	xcit_tiny_12_p16_224_dist	3183.42	80.405	256	224	1.24	6.29	6.72
191	xcit_tiny_12_p16_224	3177.02	80.567	256	224	1.24	6.29	6.72
192	regnety_016	3168.83	80.775	256	224	1.63	8.04	11.2
193	gmixer_12_224	3164.43	80.888	256	224	2.67	7.26	12.7
194	tf_efficientnet_b2_ap	3144.11	81.41	256	260	1.02	13.83	9.11
195	tf_efficientnet_b2	3133.02	81.698	256	260	1.02	13.83	9.11
196	eca_resnet33ts	3132.75	81.706	256	256	4.76	11.66	19.68
197	seresnet33ts	3132.5	81.713	256	256	4.76	11.66	19.78
198	skresnet34	3122.38	81.975	256	224	3.67	5.13	22.28
199	resnet50t	3114.92	82.173	256	224	4.32	11.82	25.57
200	tf_efficientnet_b2_ns	3112.24	82.244	256	260	1.02	13.83	9.11
201	gluon_resnet50_v1d	3111.66	82.259	256	224	4.35	11.92	25.58
202	resnet50d	3107.36	82.374	256	224	4.35	11.92	25.58
203	vovnet39a	3097.06	82.648	256	224	7.09	6.73	22.6
204	bat_resnext26ts	3052.18	83.861	256	256	2.53	12.51	10.73
205	legacy_seresnet50	3043.79	84.094	256	224	3.88	10.6	28.09
206	cspresnext50	3003.53	85.222	256	224	3.1	12.14	20.57
207	gcresnet33ts	2986.89	85.696	256	256	4.76	11.68	19.88
208	selecsls84	2981.3	85.857	256	224	5.9	7.57	50.95
209	vit_small_patch32_384	2981.2	85.86	256	384	3.45	8.25	22.92
210	ese_vovnet39b	2975.03	86.038	256	224	7.09	6.74	24.57
211	efficientnet_b2a	2964.53	86.343	256	288	1.12	16.2	9.11
212	efficientnet_b2	2962.37	86.406	256	288	1.12	16.2	9.11
213	eca_vovnet39b	2962.13	86.413	256	224	7.09	6.74	22.6
214	res2net50_48w_2s	2946.94	86.858	256	224	4.18	11.72	25.29
215	seresnet50	2942.22	86.998	256	224	4.11	11.13	28.09
216	efficientnet_b3_pruned	2917.98	87.72	256	300	1.04	11.86	9.86
217	haloregnetz_b	2882.69	88.795	256	224	1.97	11.94	11.68
218	vit_small_resnet26d_224	2880.85	88.851	256	224	5.07	11.12	63.61
219	vgg11	2809.5	91.106	256	224	7.61	7.44	132.86
220	gluon_resnext50_32x4d	2797.04	91.514	256	224	4.26	14.4	25.03
221	swsl_resnext50_32x4d	2795.88	91.552	256	224	4.26	14.4	25.03
222	tv_resnext50_32x4d	2795.77	91.554	256	224	4.26	14.4	25.03
223	mixnet_s	2795.45	91.566	256	224	0.25	6.25	4.13
224	ssl_resnext50_32x4d	2795.35	91.567	256	224	4.26	14.4	25.03
225	resnext50_32x4d	2795.04	91.578	256	224	4.26	14.4	25.03
226	resnetaa50d	2786.19	91.87	256	224	5.39	12.44	25.58
227	ecaresnet101d_pruned	2770.2	92.4	256	224	3.48	7.69	24.88
228	densenet121	2765.59	92.554	256	224	2.87	6.9	7.98
229	tv_densenet121	2754.97	92.91	256	224	2.87	6.9	7.98
230	gluon_resnet50_v1s	2746.47	93.198	256	224	5.47	13.52	25.68
231	rexnet_200	2741.96	93.353	256	224	1.56	14.91	16.37
232	cspresnet50	2739.95	93.42	256	256	4.54	11.5	21.62
233	seresnet50t	2715.96	94.246	256	224	4.32	11.83	28.1
234	resnetrs50	2709.47	94.471	256	224	4.48	12.14	35.69
235	crossvit_tiny_240	2698.8	94.845	256	240	1.57	9.08	7.01
236	ecaresnet50d	2695.97	94.946	256	224	4.35	11.93	25.58
237	tf_mixnet_s	2668.56	95.92	256	224	0.25	6.25	4.13
238	dla60	2658.15	96.295	256	224	4.26	10.16	22.04
239	crossvit_9_240	2646.19	96.732	256	240	1.85	9.52	8.55
240	densenet121d	2643.5	96.83	256	224	3.11	7.7	8.0
241	efficientnet_lite3	2630.67	97.302	256	300	1.65	21.85	8.2
242	convit_tiny	2612.77	97.969	256	224	1.26	7.94	5.71
243	hrnet_w18_small_v2	2612.23	97.989	256	224	2.62	9.65	15.6
244	crossvit_9_dagger_240	2607.67	98.16	256	240	1.99	9.97	8.78
245	regnetz_b16	2592.86	98.722	256	288	2.39	16.43	9.72
246	resnext50d_32x4d	2582.77	99.107	256	224	4.5	15.2	25.05
247	cspresnet50d	2577.78	99.299	256	256	4.86	12.55	21.64
248	cspresnet50w	2560.3	99.977	256	256	5.04	12.19	28.12
249	vgg11_bn	2537.64	100.869	256	224	7.62	7.44	132.87
250	vovnet57a	2533.31	101.041	256	224	8.95	7.52	36.64
251	resnetblur50	2528.53	101.233	256	224	5.16	12.02	25.56
252	gmlp_ti16_224	2479.86	103.22	256	224	1.34	7.55	5.87
253	seresnext50_32x4d	2470.29	103.618	256	224	4.26	14.42	27.56
254	legacy_seresnext50_32x4d	2466.47	103.78	256	224	4.26	14.42	27.56
255	seresnetaa50d	2460.49	104.031	256	224	5.4	12.46	28.11
256	gluon_seresnext50_32x4d	2457.31	104.168	256	224	4.26	14.42	27.56
257	fbnetv3_g	2441.71	104.833	256	288	1.77	21.09	16.62
258	res2net50_26w_4s	2439.77	104.916	256	224	4.28	12.61	25.7
259	ese_vovnet57b	2429.1	105.377	256	224	8.95	7.52	38.61
260	vit_tiny_r_s16_p8_384	2420.04	105.772	256	384	1.34	6.49	6.36
261	gcresnet50t	2406.95	106.347	256	256	5.42	14.67	25.9
262	adv_inception_v3	2387.53	107.209	256	299	5.73	8.97	23.83
263	inception_v3	2378.4	107.624	256	299	5.73	8.97	23.83
264	gluon_inception_v3	2378.14	107.635	256	299	5.73	8.97	23.83
265	dla60x	2376.48	107.71	256	224	3.54	13.8	17.35
266	efficientnetv2_rw_t	2371.59	107.933	256	288	3.19	16.42	13.65
267	tf_inception_v3	2369.67	108.018	256	299	5.73	8.97	23.83
268	densenetblur121d	2366.44	108.168	256	224	3.11	7.9	8.0
269	tf_efficientnet_lite3	2359.22	108.498	256	300	1.65	21.85	8.2
270	resnetblur50d	2356.51	108.624	256	224	5.4	12.82	25.58
271	nf_seresnet50	2321.05	110.283	256	224	4.21	11.13	28.09
272	lambda_resnet26rpt_256	2319.42	110.361	256	256	3.16	11.87	10.99
273	tf_efficientnetv2_b3	2313.61	110.636	256	300	3.04	15.74	14.36
274	nf_ecaresnet50	2312.19	110.706	256	224	4.21	11.13	25.56
275	resnest14d	2311.92	110.718	256	224	2.76	7.33	10.61
276	deit_small_patch16_224	2305.42	111.031	256	224	4.61	11.95	22.05
277	pit_s_224	2300.71	111.258	256	224	2.88	11.56	23.46
278	vit_small_patch16_224	2295.85	111.494	256	224	4.61	11.95	22.05
279	pit_s_distilled_224	2281.8	112.18	256	224	2.9	11.64	24.04
280	densenet169	2278.65	112.335	256	224	3.4	7.3	14.15
281	vit_base_resnet26d_224	2268.07	112.857	256	224	6.97	13.16	101.4
282	deit_small_distilled_patch16_224	2267.44	112.892	256	224	4.63	12.02	22.44
283	skresnet50	2244.08	114.064	256	224	4.11	12.5	25.8
284	darknet53	2213.23	115.656	256	256	9.31	12.39	41.61
285	sehalonet33ts	2208.53	115.902	256	256	3.55	14.7	13.69
286	res2net50_14w_8s	2201.46	116.274	256	224	4.21	13.28	25.06
287	gc_efficientnetv2_rw_t	2198.9	116.41	256	288	3.2	16.45	13.68
288	gcresnext50ts	2187.09	117.039	256	256	3.75	15.46	15.67
289	resnetv2_101	2146.17	119.27	256	224	7.83	16.23	44.54
290	resmlp_24_224	2127.24	120.334	256	224	5.96	10.91	30.02
291	resmlp_24_distilled_224	2125.15	120.451	256	224	5.96	10.91	30.02
292	skresnet50d	2105.03	121.599	256	224	4.36	13.31	25.82
293	gluon_resnet101_v1b	2098.13	122.001	256	224	7.83	16.23	44.55
294	tv_resnet101	2095.51	122.152	256	224	7.83	16.23	44.55
295	resnet101	2094.89	122.19	256	224	7.83	16.23	44.55
296	res2next50	2089.9	122.482	256	224	4.2	13.71	24.67
297	ecaresnet26t	2087.45	122.626	256	320	5.24	16.44	16.01
298	dla60_res2net	2078.29	123.165	256	224	4.15	12.34	20.85
299	nf_regnet_b3	2039.85	125.487	256	320	2.05	14.61	18.59
300	gluon_resnet101_v1c	2026.41	126.32	256	224	8.08	17.04	44.57
301	resnetv2_101d	2021.62	126.619	256	224	8.07	17.04	44.56
302	gluon_resnet101_v1d	1976.83	129.488	256	224	8.08	17.04	44.57
303	vgg13	1972.22	129.79	256	224	11.31	12.25	133.05
304	wide_resnet50_2	1932.56	132.455	256	224	11.43	14.4	68.88
305	sebotnet33ts_256	1892.63	135.25	256	256	3.89	17.46	13.7
306	repvgg_b1	1864.64	137.281	256	224	13.16	10.64	57.42
307	resnetaa101d	1840.38	139.09	256	224	9.12	17.56	44.57
308	legacy_seresnet101	1838.54	139.229	256	224	7.61	15.74	49.33
309	resnet51q	1828.83	139.968	256	288	8.07	20.94	35.7
310	gluon_resnet101_v1s	1822.02	140.491	256	224	9.19	18.64	44.67
311	dla102	1820.91	140.577	256	224	7.19	14.18	33.27
312	dla60_res2next	1817.78	140.818	256	224	3.49	13.17	17.03
313	coat_lite_tiny	1811.49	141.309	256	224	1.6	11.65	5.72
314	vit_base_resnet50d_224	1807.55	141.614	256	224	8.73	16.92	110.97
315	tf_efficientnet_b3	1803.3	141.948	256	300	1.87	23.83	12.23
316	tf_efficientnet_b3_ap	1802.94	141.978	256	300	1.87	23.83	12.23
317	tf_efficientnet_b3_ns	1802.1	142.043	256	300	1.87	23.83	12.23
318	cspdarknet53	1801.31	142.107	256	256	6.57	16.81	27.64
319	seresnet101	1796.92	142.453	256	224	7.84	16.27	49.33
320	efficientnet_b3	1780.99	143.727	256	320	2.01	26.52	12.23
321	efficientnet_b3a	1780.57	143.761	256	320	2.01	26.52	12.23
322	densenet201	1754.6	145.89	256	224	4.34	7.85	20.01
323	vgg13_bn	1750.09	146.264	256	224	11.33	12.25	133.05
324	ssl_resnext101_32x4d	1737.01	147.366	256	224	8.01	21.23	44.18
325	resnext101_32x4d	1736.55	147.407	256	224	8.01	21.23	44.18
326	gluon_resnext101_32x4d	1736.42	147.419	256	224	8.01	21.23	44.18
327	swsl_resnext101_32x4d	1735.28	147.514	256	224	8.01	21.23	44.18
328	halonet50ts	1731.56	147.831	256	256	5.3	19.2	22.73
329	res2net50_26w_6s	1726.13	148.297	256	224	6.33	15.28	37.05
330	nf_resnet101	1725.55	148.347	256	224	8.01	16.23	44.55
331	coat_lite_mini	1724.07	148.474	256	224	2.0	12.25	11.01
332	regnetz_c16	1702.47	150.358	256	320	3.92	25.88	13.46
333	nf_resnet50	1701.7	150.426	256	288	6.88	18.37	25.56
334	ecaresnet101d	1699.81	150.594	256	224	8.08	17.07	44.57
335	xcit_tiny_24_p16_224_dist	1697.25	150.82	256	224	2.34	11.82	12.12
336	xcit_tiny_24_p16_224	1694.56	151.06	256	224	2.34	11.82	12.12
337	xcit_small_12_p16_224_dist	1690.19	151.45	256	224	4.82	12.58	26.25
338	xcit_small_12_p16_224	1687.09	151.729	256	224	4.82	12.58	26.25
339	resnest26d	1686.65	151.769	256	224	3.64	9.97	17.07
340	convnext_tiny	1676.02	152.729	256	224	4.47	13.44	28.59
341	convnext_tiny_hnf	1674.55	152.865	256	224	4.47	13.44	28.59
342	vit_small_r26_s32_224	1656.11	154.567	256	224	3.56	9.85	36.43
343	resnetblur101d	1639.84	156.101	256	224	9.12	17.94	44.57
344	dla102x	1638.98	156.183	256	224	5.89	19.42	26.31
345	resnet61q	1638.11	156.265	256	288	9.87	21.52	36.85
346	gmixer_24_224	1615.83	158.42	256	224	5.28	14.45	24.72
347	vgg16	1592.01	160.79	256	224	15.47	13.56	138.36
348	xcit_nano_12_p16_384_dist	1580.63	161.949	256	384	1.64	12.15	3.05
349	regnetx_032	1571.21	162.919	256	224	3.2	11.37	15.3
350	repvgg_b1g4	1566.48	163.412	256	224	8.15	10.64	39.97
351	regnetx_040	1550.05	165.143	256	224	3.99	12.2	22.12
352	twins_svt_small	1531.98	167.089	256	224	2.94	13.75	24.06
353	seresnext101_32x4d	1528.6	167.459	256	224	8.02	21.26	48.96
354	gluon_seresnext101_32x4d	1525.5	167.801	256	224	8.02	21.26	48.96
355	legacy_seresnext101_32x4d	1523.33	168.041	256	224	8.02	21.26	48.96
356	res2net101_26w_4s	1522.04	168.183	256	224	8.1	18.45	45.21
357	xception	1515.79	168.877	256	299	8.4	35.83	22.86
358	visformer_small	1505.04	170.081	256	224	4.88	11.43	40.22
359	botnet50ts_256	1504.07	170.19	256	256	5.54	22.23	22.74
360	resnest50d_1s4x24d	1495.52	171.166	256	224	4.43	13.57	25.68
361	resnetv2_50x1_bit_distilled	1491.91	171.579	256	224	4.23	11.11	25.55
362	resnetv2_152	1488.31	171.994	256	224	11.55	22.56	60.19
363	efficientnet_el	1485.73	172.293	256	300	8.0	30.7	10.59
364	efficientnet_el_pruned	1484.88	172.392	256	300	8.0	30.7	10.59
365	gluon_resnet152_v1b	1466.32	174.574	256	224	11.56	22.56	60.19
366	crossvit_small_240	1465.43	174.68	256	240	5.63	18.17	26.86
367	tv_resnet152	1464.76	174.758	256	224	11.56	22.56	60.19
368	resnet152	1463.7	174.886	256	224	11.56	22.56	60.19
369	res2net50_26w_8s	1440.77	177.671	256	224	8.37	17.95	48.4
370	tf_efficientnet_el	1439.79	177.79	256	300	8.0	30.7	10.59
371	halo2botnet50ts_256	1435.45	178.33	256	256	5.02	21.78	22.64
372	hrnet_w32	1431.59	178.81	256	224	8.97	22.02	41.23
373	gluon_resnet152_v1c	1431.14	178.867	256	224	11.8	23.36	60.21
374	nf_seresnet101	1430.41	178.958	256	224	8.02	16.27	49.33
375	vgg16_bn	1430.18	178.985	256	224	15.5	13.56	138.37
376	resnetv2_152d	1427.39	179.335	256	224	11.8	23.36	60.2
377	resmlp_36_224	1426.81	179.41	256	224	8.91	16.33	44.69
378	resmlp_36_distilled_224	1426.22	179.484	256	224	8.91	16.33	44.69
379	nf_ecaresnet101	1423.4	179.839	256	224	8.01	16.27	44.55
380	mixnet_m	1415.37	180.859	256	224	0.36	8.19	5.01
381	gluon_resnet152_v1d	1405.52	182.126	256	224	11.8	23.36	60.21
382	ese_vovnet99b	1395.24	183.468	256	224	16.51	11.27	63.2
383	gmlp_s16_224	1389.58	184.216	256	224	4.42	15.1	19.42
384	tf_mixnet_m	1379.18	185.603	256	224	0.36	8.19	5.01
385	regnety_040	1367.09	187.246	256	224	4.0	12.29	20.65
386	vit_large_patch32_224	1365.88	187.414	256	224	15.39	13.3	306.54
387	hrnet_w18	1363.25	187.774	256	224	4.32	16.31	21.3
388	vit_base_r26_s32_224	1359.83	188.244	256	224	6.81	12.36	101.38
389	crossvit_15_240	1344.51	190.391	256	240	5.81	19.77	27.53
390	resnetv2_50d_evob	1343.28	190.567	256	224	4.33	11.92	25.59
391	ecaresnet50t	1341.42	190.83	256	320	8.82	24.13	25.57
392	mixer_b16_224	1341.1	190.877	256	224	12.62	14.53	59.88
393	mixer_b16_224_miil	1340.95	190.898	256	224	12.62	14.53	59.88
394	vgg19	1334.38	191.835	256	224	19.63	14.86	143.67
395	regnety_032	1331.17	192.299	256	288	5.29	18.61	19.44
396	cait_xxs24_224	1325.98	193.051	256	224	2.53	20.29	11.96
397	gluon_resnet152_v1s	1323.82	193.367	256	224	12.92	24.96	60.32
398	mixer_l32_224	1320.53	193.849	256	224	11.27	19.86	206.94
399	skresnext50_32x4d	1317.3	194.322	256	224	4.5	17.18	27.48
400	xception41	1314.21	194.782	256	299	9.28	39.86	26.97
401	crossvit_15_dagger_240	1313.12	194.944	256	240	6.13	20.43	28.21
402	densenet161	1297.86	197.236	256	224	7.79	11.06	28.68
403	dpn92	1283.16	199.496	256	224	6.54	18.21	37.67
404	efficientnet_lite4	1279.6	200.05	256	380	4.04	45.66	13.01
405	tresnet_m	1272.03	201.24	256	224	5.74	7.31	31.39
406	legacy_seresnet152	1268.99	201.723	256	224	11.33	22.08	66.82
407	dla169	1257.87	203.505	256	224	11.6	20.2	53.39
408	seresnet152	1252.8	204.325	256	224	11.57	22.61	66.82
409	swin_tiny_patch4_window7_224	1250.47	204.71	256	224	4.51	17.06	28.29
410	vit_base_patch32_384	1245.01	205.608	256	384	13.06	16.5	88.3
411	repvgg_b2	1240.95	206.281	256	224	20.45	12.9	89.02
412	twins_pcpvt_small	1237.75	206.812	256	224	3.83	18.08	24.11
413	inception_v4	1232.0	207.78	256	299	12.28	15.09	42.68
414	regnetx_080	1230.26	208.073	256	224	8.02	14.06	39.57
415	convit_small	1215.14	210.662	256	224	5.76	17.87	27.78
416	vgg19_bn	1208.18	211.876	256	224	19.66	14.86	143.68
417	xcit_nano_12_p8_224_dist	1199.12	213.478	256	224	2.16	15.71	3.05
418	xcit_nano_12_p8_224	1193.48	214.486	256	224	2.16	15.71	3.05
419	hrnet_w30	1182.47	216.483	256	224	8.15	21.21	37.71
420	tf_efficientnet_lite4	1173.72	218.096	256	380	4.04	45.66	13.01
421	resnetv2_50d_gn	1171.09	218.587	256	224	4.38	11.92	25.57
422	vit_tiny_patch16_384	1165.29	219.677	256	384	4.7	25.39	5.79
423	dla102x2	1162.53	220.196	256	224	9.34	29.91	41.28
424	regnetx_064	1154.46	221.737	256	224	6.49	16.37	26.21
425	vit_small_resnet50d_s16_224	1148.12	222.96	256	224	13.48	24.82	57.53
426	resnest50d	1142.3	224.096	256	224	5.4	14.36	27.48
427	xcit_tiny_12_p16_384_dist	1120.72	228.412	256	384	3.64	18.26	6.72
428	nf_regnet_b4	1118.05	228.958	256	384	4.7	28.61	30.21
429	mixnet_l	1111.69	230.267	256	224	0.58	10.84	7.33
430	efficientnetv2_s	1109.52	230.718	256	384	8.44	35.77	21.46
431	resnet50_gn	1084.83	235.97	256	224	4.14	11.11	25.56
432	tf_efficientnetv2_s	1082.56	236.462	256	384	8.44	35.77	21.46
433	tf_efficientnetv2_s_in21ft1k	1080.83	236.841	256	384	8.44	35.77	21.46
434	tf_mixnet_l	1080.28	236.961	256	224	0.58	10.84	7.33
435	wide_resnet101_2	1080.17	236.987	256	224	22.8	21.23	126.89
436	gluon_resnext101_64x4d	1075.35	238.048	256	224	15.52	31.21	83.46
437	dpn98	1075.31	238.059	256	224	11.73	25.2	61.57
438	eca_nfnet_l0	1073.57	238.443	256	288	7.12	17.29	24.14
439	resnext101_64x4d	1073.4	238.483	256	224	15.52	31.21	83.46
440	regnetz_d8	1072.66	238.647	256	320	6.19	37.08	23.37
441	convnext_small	1068.35	239.61	256	224	8.7	21.56	50.22
442	nfnet_l0	1067.0	239.911	256	288	7.13	17.29	35.07
443	resnet200	1062.15	241.009	256	224	15.07	32.19	64.67
444	resnetrs101	1051.01	243.563	256	288	13.56	28.53	63.62
445	inception_resnet_v2	1033.59	247.668	256	299	13.18	25.06	55.84
446	ens_adv_inception_resnet_v2	1033.26	247.747	256	299	13.18	25.06	55.84
447	efficientnetv2_rw_s	1032.33	247.972	256	384	8.72	38.03	23.94
448	nest_tiny	1020.47	250.854	256	224	5.83	25.48	17.06
449	coat_lite_small	1020.33	250.888	256	224	3.96	22.09	19.84
450	jx_nest_tiny	1008.4	253.854	256	224	5.83	25.48	17.06
451	vit_base_patch16_224_miil	996.21	256.96	256	224	17.58	23.9	86.54
452	crossvit_18_240	991.56	258.167	256	240	9.05	26.26	43.27
453	gluon_seresnext101_64x4d	990.21	258.518	256	224	15.53	31.25	88.23
454	swsl_resnext101_32x8d	977.82	261.793	256	224	16.48	31.21	88.79
455	ssl_resnext101_32x8d	977.78	261.803	256	224	16.48	31.21	88.79
456	resnext101_32x8d	976.71	262.092	256	224	16.48	31.21	88.79
457	resnet101d	976.38	262.181	256	320	16.48	34.77	44.57
458	ig_resnext101_32x8d	976.0	262.282	256	224	16.48	31.21	88.79
459	crossvit_18_dagger_240	971.37	263.533	256	240	9.5	27.03	44.27
460	regnetz_d32	970.52	263.764	256	320	9.33	37.08	27.58
461	vit_base_patch16_224_sam	969.72	263.98	256	224	17.58	23.9	86.57
462	deit_base_patch16_224	967.9	264.478	256	224	17.58	23.9	86.57
463	vit_base_patch16_224	966.99	264.723	256	224	17.58	23.9	86.57
464	deit_base_distilled_patch16_224	962.72	265.901	256	224	17.68	24.05	87.34
465	repvgg_b3	962.17	266.052	256	224	29.16	15.1	123.09
466	resnest50d_4s2x40d	957.24	267.424	256	224	4.4	17.94	30.42
467	gluon_xception65	952.59	268.729	256	299	13.96	52.48	39.92
468	efficientnet_b4	950.53	269.31	256	384	4.51	50.04	19.34
469	xception65	944.4	271.059	256	299	13.96	52.48	39.92
470	ese_vovnet39b_evos	937.23	273.135	256	224	7.07	6.74	24.58
471	hrnet_w40	919.71	278.336	256	224	12.75	25.29	57.56
472	seresnext101_32x8d	905.52	282.696	256	224	16.48	31.25	93.57
473	twins_pcpvt_base	904.7	282.951	256	224	6.68	25.25	43.83
474	tf_efficientnet_b4	899.69	284.527	256	380	4.49	49.49	19.34
475	tf_efficientnet_b4_ap	899.17	284.692	256	380	4.49	49.49	19.34
476	tf_efficientnet_b4_ns	898.81	284.808	256	380	4.49	49.49	19.34
477	xcit_small_24_p16_224_dist	897.88	285.104	256	224	9.1	23.64	47.67
478	xcit_small_24_p16_224	897.08	285.357	256	224	9.1	23.64	47.67
479	beit_base_patch16_224	894.85	286.068	256	224	17.58	23.9	86.53
480	cait_xxs36_224	891.78	287.055	256	224	3.77	30.34	17.3
481	twins_svt_base	885.5	289.087	256	224	8.59	26.33	56.07
482	regnety_080	865.03	295.931	256	224	8.0	17.97	39.18
483	hrnet_w48	862.23	296.892	256	224	17.34	28.56	77.47
484	xcit_tiny_12_p8_224_dist	851.38	300.676	256	224	4.81	23.6	6.71
485	xcit_tiny_12_p8_224	850.38	301.029	256	224	4.81	23.6	6.71
486	pit_b_224	831.73	307.778	256	224	12.42	32.94	73.76
487	pit_b_distilled_224	829.76	308.512	256	224	12.5	33.07	74.79
488	nfnet_f0s	822.42	311.265	256	256	12.62	18.05	71.49
489	nfnet_f0	820.01	312.18	256	256	12.62	18.05	71.49
490	swin_small_patch4_window7_224	808.39	316.666	256	224	8.77	27.47	49.61
491	repvgg_b2g4	805.1	317.961	256	224	12.63	12.9	61.76
492	resnetv2_50d_evos	799.75	320.087	256	224	4.33	11.92	25.59
493	convnext_base	795.35	321.858	256	224	15.38	28.75	88.59
494	convnext_base_in22ft1k	795.35	321.856	256	224	15.38	28.75	88.59
495	dpn131	790.54	323.815	256	224	16.09	32.97	79.25
496	regnetx_120	762.35	335.792	256	224	12.13	21.37	46.11
497	regnety_064	760.83	336.463	256	224	6.39	16.41	30.58
498	hrnet_w44	758.65	337.428	256	224	14.94	26.92	67.06
499	densenet264	753.54	339.715	256	224	12.95	12.8	72.69
500	mixnet_xl	746.77	342.795	256	224	0.93	14.57	11.9
501	cait_s24_224	746.74	342.81	256	224	9.35	40.58	46.92
502	regnety_120	732.77	349.348	256	224	12.14	21.38	51.82
503	dm_nfnet_f0	732.71	349.374	256	256	12.62	18.05	71.49
504	xception71	724.87	353.154	256	299	18.09	69.92	42.34
505	coat_tiny	707.44	361.857	256	224	4.35	27.2	5.5
506	resnet152d	694.55	368.574	256	320	24.08	47.67	60.21
507	dpn107	691.54	370.175	256	224	18.38	33.46	86.92
508	hrnet_w64	684.53	373.966	256	224	28.97	35.09	128.06
509	nest_small	681.18	375.805	256	224	10.35	40.04	38.35
510	vit_large_r50_s32_224	676.89	378.187	256	224	19.58	24.41	328.99
511	jx_nest_small	675.63	378.895	256	224	10.35	40.04	38.35
512	twins_svt_large	674.75	379.385	256	224	15.15	35.1	99.27
513	seresnet200d	673.13	380.295	256	256	20.01	43.15	71.86
514	ecaresnet200d	672.08	380.893	256	256	20.0	43.15	64.69
515	repvgg_b3g4	671.77	381.071	256	224	17.89	15.1	83.83
516	cspresnext50_iabn	667.96	383.242	256	256	4.02	15.86	20.57
517	gmlp_b16_224	667.23	383.66	256	224	15.78	30.21	73.08
518	crossvit_base_240	662.98	386.123	256	240	21.22	36.33	105.03
519	xcit_medium_24_p16_224_dist	661.18	387.174	256	224	16.13	31.71	84.4
520	xcit_medium_24_p16_224	660.34	387.669	256	224	16.13	31.71	84.4
521	tresnet_l	657.41	389.391	256	224	10.88	11.9	55.99
522	twins_pcpvt_large	657.27	389.474	256	224	9.84	35.82	60.99
523	gluon_senet154	656.15	390.143	256	224	20.77	38.69	115.09
524	senet154	655.06	390.791	256	224	20.77	38.69	115.09
525	legacy_senet154	654.75	390.977	256	224	20.77	38.69	115.09
526	convit_base	638.4	400.989	256	224	17.52	31.77	86.54
527	swin_base_patch4_window7_224	617.48	414.571	256	224	15.47	36.63	87.77
528	ese_vovnet99b_iabn	611.75	418.46	256	224	16.49	11.27	63.2
529	regnetx_160	608.26	420.859	256	224	15.99	25.52	54.28
530	cspdarknet53_iabn	603.85	423.936	256	256	6.53	16.81	27.64
531	resnetrs152	602.36	424.984	256	320	24.34	48.14	86.62
532	seresnet152d	600.43	426.343	256	320	24.09	47.72	66.84
533	xcit_tiny_24_p16_384_dist	596.99	428.807	256	384	6.87	34.29	12.12
534	xcit_small_12_p16_384_dist	594.31	430.737	256	384	14.14	36.51	26.25
535	coat_mini	592.69	431.92	256	224	6.82	33.68	10.34
536	vit_small_patch16_384	592.64	431.956	256	384	15.52	50.78	22.2
537	regnetz_e8	575.64	444.705	256	320	15.46	63.94	57.7
538	convmixer_768_32	563.29	454.463	256	224	19.55	25.95	21.11
539	resnest101e	556.07	460.362	256	256	13.38	28.66	48.28
540	efficientnetv2_m	555.39	460.921	256	416	18.6	67.5	54.14
541	vit_base_r50_s16_224	554.34	461.796	256	224	21.66	35.29	98.66
542	vit_small_r26_s32_384	549.37	465.972	256	384	10.43	29.85	36.47
543	nf_regnet_b5	533.77	479.592	256	456	11.7	61.95	49.74
544	seresnet269d	524.13	488.41	256	256	26.59	53.6	113.67
545	nest_base	514.16	497.89	256	224	17.96	53.39	67.72
546	jx_nest_base	510.9	501.061	256	224	17.96	53.39	67.72
547	resnet200d	509.84	502.105	256	320	31.25	67.33	64.69
548	tnt_s_patch16_224	490.75	521.641	256	224	5.24	24.37	23.76
549	mixnet_xxl	486.35	526.355	256	224	2.04	23.43	23.96
550	tresnet_xl	476.44	537.307	256	224	15.17	15.34	78.44
551	convnext_large	476.21	537.564	256	224	34.4	43.13	197.77
552	eca_nfnet_l1	475.22	538.689	256	320	14.92	34.42	41.41
553	convnext_large_in22ft1k	475.1	538.817	256	224	34.4	43.13	197.77
554	efficientnetv2_rw_m	464.7	550.875	256	416	21.49	79.62	53.24
555	efficientnet_b5	456.59	560.666	256	456	10.46	98.86	30.39
556	xcit_small_12_p8_224	453.25	564.8	256	224	18.69	47.21	26.21
557	xcit_small_12_p8_224_dist	452.33	565.946	256	224	18.69	47.21	26.21
558	xcit_tiny_24_p8_224	450.37	568.411	256	224	9.21	45.39	12.11
559	mixer_l16_224	449.08	570.035	256	224	44.6	41.69	208.2
560	xcit_tiny_24_p8_224_dist	448.81	570.379	256	224	9.21	45.39	12.11
561	halonet_h1	448.78	570.426	256	256	3.0	51.17	8.1
562	vit_large_patch32_384	441.35	580.019	256	384	45.31	43.86	306.63
563	resnetrs200	436.51	586.457	256	320	31.51	67.81	93.21
564	tf_efficientnet_b5	434.35	589.365	256	456	10.46	98.86	30.39
565	tf_efficientnet_b5_ap	433.75	590.18	256	456	10.46	98.86	30.39
566	tf_efficientnet_b5_ns	433.48	590.557	256	456	10.46	98.86	30.39
567	tf_efficientnetv2_m_in21ft1k	410.56	623.518	256	480	24.76	89.84	54.14
568	tf_efficientnetv2_m	410.47	623.661	256	480	24.76	89.84	54.14
569	xcit_nano_12_p8_384_dist	410.15	624.154	256	384	6.34	46.08	3.05
570	regnety_320	406.99	628.99	256	224	32.34	30.26	145.05
571	regnety_160	405.46	631.367	256	288	26.37	38.07	83.59
572	xcit_large_24_p16_224_dist	400.4	639.34	256	224	35.86	47.27	189.1
573	xcit_large_24_p16_224	400.19	639.684	256	224	35.86	47.27	189.1
574	regnetz_d8_evob	388.06	659.67	256	320	6.12	37.08	23.41
575	tnt_b_patch16_224	385.58	663.922	256	224	14.09	39.01	65.41
576	swin_large_patch4_window7_224	383.73	667.122	256	224	34.53	54.94	196.53
577	resnetv2_50x1_bitm	374.41	683.729	256	448	16.62	44.46	25.55
578	ssl_resnext101_32x16d	338.57	756.102	256	224	36.27	51.18	194.03
579	swsl_resnext101_32x16d	338.32	756.674	256	224	36.27	51.18	194.03
580	ig_resnext101_32x16d	338.18	756.969	256	224	36.27	51.18	194.03
581	vit_large_patch16_224	326.85	783.223	256	224	61.6	63.52	304.33
582	convnext_xlarge_in22ft1k	321.97	795.088	256	224	60.97	57.5	350.2
583	tresnet_m_448	321.59	796.023	256	448	22.94	29.21	31.39
584	xcit_small_24_p16_384_dist	315.9	810.38	256	384	26.72	68.58	47.67
585	crossvit_15_dagger_408	307.27	833.13	256	408	21.45	95.05	28.5
586	nasnetalarge	305.09	839.069	256	331	23.89	90.56	88.75
587	beit_large_patch16_224	301.03	850.396	256	224	61.6	63.52	304.43
588	pnasnet5large	294.97	867.879	256	331	25.04	92.89	86.06
589	xcit_tiny_12_p8_384_dist	290.12	882.382	256	384	14.13	69.14	6.71
590	ecaresnet269d	282.41	906.484	256	352	50.25	101.25	102.09
591	nfnet_f1s	278.33	919.751	256	320	35.97	46.77	132.63
592	nfnet_f1	277.93	921.079	256	320	35.97	46.77	132.63
593	resnetrs270	274.74	931.762	256	352	51.13	105.48	129.86
594	convnext_base_384_in22ft1k	274.29	933.296	256	384	45.2	84.49	88.59
595	resnetv2_152x2_bit_teacher	268.11	954.835	256	224	46.95	45.11	236.34
596	efficientnet_b6	261.2	490.039	128	528	19.4	167.39	43.04
597	regnetx_320	257.17	995.447	256	224	31.81	36.3	107.81
598	vit_base_patch16_384	256.27	998.923	256	384	55.54	101.56	86.86
599	deit_base_patch16_384	256.23	999.078	256	384	55.54	101.56	86.86
600	deit_base_distilled_patch16_384	253.03	1011.71	256	384	55.65	101.82	87.63
601	dm_nfnet_f1	251.34	1018.532	256	320	35.97	46.77	132.63
602	tf_efficientnet_b6_ns	249.3	513.425	128	528	19.4	167.39	43.04
603	tf_efficientnet_b6_ap	249.28	513.468	128	528	19.4	167.39	43.04
604	tf_efficientnet_b6	249.27	513.475	128	528	19.4	167.39	43.04
605	cait_xxs24_384	240.96	1062.389	256	384	9.63	122.66	12.03
606	resnetv2_101x1_bitm	237.63	1077.288	256	448	31.65	64.93	44.54
607	xcit_small_24_p8_224	236.59	1082.038	256	224	35.81	90.78	47.63
608	xcit_small_24_p8_224_dist	236.51	1082.395	256	224	35.81	90.78	47.63
609	efficientnetv2_l	230.67	1109.79	256	480	56.4	157.99	118.52
610	xcit_medium_24_p16_384_dist	229.71	1114.433	256	384	47.39	91.64	84.4
611	crossvit_18_dagger_408	228.55	560.041	128	408	32.47	124.87	44.61
612	tf_efficientnetv2_l	228.05	1122.527	256	480	56.4	157.99	118.52
613	eca_nfnet_l2	227.63	1124.623	256	384	30.05	68.28	56.72
614	tf_efficientnetv2_l_in21ft1k	227.22	1126.624	256	480	56.4	157.99	118.52
615	vit_large_r50_s32_384	223.83	1143.726	256	384	57.43	76.52	329.09
616	beit_base_patch16_384	221.26	1157.006	256	384	55.54	101.56	86.74
617	regnetz_d8_evos	211.13	1212.504	256	320	7.03	38.92	23.46
618	resmlp_big_24_224	198.32	1290.833	256	224	100.23	87.31	129.14
619	resmlp_big_24_224_in22ft1k	197.59	1295.599	256	224	100.23	87.31	129.14
620	resmlp_big_24_distilled_224	197.33	1297.278	256	224	100.23	87.31	129.14
621	resnest200e	191.82	1334.548	256	320	35.69	82.78	70.2
622	resnetrs350	182.63	1401.718	256	384	77.59	154.74	163.96
623	swin_base_patch4_window12_384	171.61	745.879	128	384	47.19	134.78	87.9
624	cait_xs24_384	171.6	1491.866	256	384	19.28	183.98	26.67
625	xcit_medium_24_p8_224	171.09	1496.317	256	224	63.53	121.23	84.32
626	xcit_medium_24_p8_224_dist	171.08	1496.368	256	224	63.53	121.23	84.32
627	vit_base_patch8_224	170.14	1504.628	256	224	78.22	161.69	86.58
628	tresnet_l_448	163.98	1561.153	256	448	43.5	47.56	55.99
629	convnext_large_384_in22ft1k	162.15	1578.727	256	384	101.09	126.74	197.77
630	cait_xxs36_384	161.38	1586.306	256	384	14.35	183.7	17.37
631	vit_base_r50_s16_384	161.14	1588.636	256	384	67.43	135.03	98.95
632	vit_base_resnet50_384	161.06	1589.462	256	384	67.43	135.03	98.95
633	nfnet_f2s	156.52	1635.579	256	352	63.22	79.06	193.78
634	efficientnet_b7	156.11	409.945	64	600	38.33	289.94	66.35
635	nfnet_f2	155.79	1643.217	256	352	63.22	79.06	193.78
636	xcit_tiny_24_p8_384_dist	152.9	1674.228	256	384	27.05	132.95	12.11
637	densenet264d_iabn	151.23	1692.723	256	224	13.47	14.0	72.74
638	xcit_small_12_p8_384_dist	150.53	1700.627	256	384	54.92	138.29	26.21
639	tf_efficientnet_b7_ns	150.44	425.41	64	600	38.33	289.94	66.35
640	tf_efficientnet_b7_ap	150.35	425.668	64	600	38.33	289.94	66.35
641	tf_efficientnet_b7	150.33	425.703	64	600	38.33	289.94	66.35
642	efficientnetv2_xl	146.15	1751.589	256	512	93.85	247.32	208.12
643	tf_efficientnetv2_xl_in21ft1k	144.77	1768.278	256	512	93.85	247.32	208.12
644	dm_nfnet_f2	141.71	1806.539	256	352	63.22	79.06	193.78
645	xcit_large_24_p16_384_dist	138.32	1850.744	256	384	105.35	137.17	189.1
646	cait_s24_384	132.94	1925.665	256	384	32.17	245.31	47.06
647	resnetrs420	132.69	1929.303	256	416	108.45	213.79	191.89
648	vit_huge_patch14_224	131.53	1946.246	256	224	167.4	139.41	632.05
649	eca_nfnet_l3	127.14	2013.536	256	448	52.55	118.4	72.04
650	tresnet_xl_448	120.79	2119.391	256	448	60.65	61.31	78.44
651	efficientnet_cc_b0_8e	117.25	8.519	1	224	0.42	9.42	24.01
652	efficientnet_cc_b0_4e	114.89	8.693	1	224	0.41	9.42	13.31
653	convnext_xlarge_384_in22ft1k	110.42	1159.152	128	384	179.18	168.99	350.2
654	tf_efficientnet_cc_b0_8e	109.13	9.153	1	224	0.42	9.42	24.01
655	swin_large_patch4_window12_384	108.07	1184.415	128	384	104.08	202.16	196.74
656	tf_efficientnet_cc_b0_4e	106.38	9.39	1	224	0.41	9.42	13.31
657	xcit_large_24_p8_224	103.21	2480.29	256	224	141.23	181.56	188.93
658	xcit_large_24_p8_224_dist	103.09	2483.315	256	224	141.23	181.56	188.93
659	efficientnet_b8	95.86	667.618	64	672	63.48	442.89	87.41
660	resnetv2_152x2_bit_teacher_384	93.91	2726.129	256	384	136.16	132.56	236.34
661	tf_efficientnet_b8	93.03	687.97	64	672	63.48	442.89	87.41
662	tf_efficientnet_b8_ap	92.99	688.234	64	672	63.48	442.89	87.41
663	resnetv2_50x3_bitm	90.18	1419.305	128	448	145.7	133.37	217.32
664	resnest269e	90.1	2841.126	256	416	77.69	171.98	110.93
665	cait_s36_384	88.82	2882.347	256	384	47.99	367.4	68.37
666	vit_large_patch16_384	88.44	2894.698	256	384	191.21	270.24	304.72
667	vit_giant_patch14_224	87.02	2941.98	256	224	267.18	192.64	1012.61
668	nfnet_f3s	85.07	3009.339	256	416	115.58	141.78	254.92
669	nfnet_f3	84.65	3024.233	256	416	115.58	141.78	254.92
670	efficientnet_cc_b1_8e	83.46	11.971	1	240	0.75	15.44	39.72
671	convmixer_1024_20_ks9_p14	81.44	3143.542	256	224	5.55	5.51	24.38
672	xcit_small_24_p8_384_dist	78.98	3241.259	256	384	105.24	265.91	47.63
673	beit_large_patch16_384	77.03	3323.174	256	384	191.21	270.24	305.0
674	dm_nfnet_f3	76.93	3327.777	256	416	115.58	141.78	254.92
675	tf_efficientnet_cc_b1_8e	76.09	13.131	1	240	0.75	15.44	39.72
676	resnetv2_152x2_bitm	68.83	1859.681	128	448	184.99	180.43	236.34
677	xcit_medium_24_p8_384_dist	58.64	4365.679	256	384	186.67	354.73	84.32
678	resnetv2_101x3_bitm	55.09	2323.244	128	448	280.33	194.78	387.93
679	vit_gigantic_patch14_224	52.92	4837.231	256	224	483.95	275.37	1844.44
680	nfnet_f4s	45.21	5662.39	256	512	216.26	262.26	316.07
681	nfnet_f4	45.13	5672.08	256	512	216.26	262.26	316.07
682	dm_nfnet_f4	41.12	6225.397	256	512	216.26	262.26	316.07
683	xcit_large_24_p8_384_dist	35.18	3638.243	128	384	415.0	531.82	188.93
684	nfnet_f5s	33.4	7663.628	256	544	290.97	349.71	377.21
685	nfnet_f5	33.22	7705.647	256	544	290.97	349.71	377.21
686	beit_large_patch16_512	31.23	2049.459	64	512	362.24	656.39	305.67
687	cait_m36_384	30.6	8365.416	256	384	173.11	734.81	271.22
688	dm_nfnet_f5	30.51	8392.012	256	544	290.97	349.71	377.21
689	nfnet_f6s	24.87	10292.837	256	576	378.69	452.2	438.36
690	nfnet_f6	24.74	10346.138	256	576	378.69	452.2	438.36
691	dm_nfnet_f6	23.05	11108.286	256	576	378.69	452.2	438.36
692	nfnet_f7s	19.54	13099.713	256	608	480.39	570.85	499.5
693	nfnet_f7	19.47	13146.917	256	608	480.39	570.85	499.5
694	resnetv2_152x4_bitm	17.96	3562.952	64	480	844.84	414.26	936.53
695	cait_m48_448	13.23	9672.182	128	448	329.41	1708.23	356.46
696	convmixer_1536_20	13.15	19467.539	256	224	48.68	33.03	51.63