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	67598.74	15.137	1024	106	0.03	0.69	2.04
3	mobilenetv3_small_050	48021.33	21.312	1024	224	0.03	0.92	1.59
4	lcnet_035	46934.76	21.806	1024	224	0.03	1.04	1.64
5	lcnet_050	41338.69	24.759	1024	224	0.05	1.26	1.88
6	mobilenetv3_small_075	37600.26	27.223	1024	224	0.05	1.3	2.04
7	mobilenetv3_small_100	34647.33	29.544	1024	224	0.06	1.42	2.54
8	tinynet_d	34267.93	29.871	1024	152	0.05	1.42	2.34
9	tf_mobilenetv3_small_minimal_100	30966.2	33.057	1024	224	0.06	1.41	2.04
10	tf_mobilenetv3_small_075	30182.31	33.916	1024	224	0.05	1.3	2.04
11	tf_mobilenetv3_small_100	28343.09	36.117	1024	224	0.06	1.42	2.54
12	lcnet_075	26938.48	38.001	1024	224	0.1	1.99	2.36
13	mnasnet_small	23076.61	44.363	1024	224	0.07	2.16	2.03
14	lcnet_100	22762.31	44.976	1024	224	0.16	2.52	2.95
15	levit_128s	20755.15	49.325	1024	224	0.31	1.88	7.78
16	mobilenetv2_035	19994.44	51.203	1024	224	0.07	2.86	1.68
17	ghostnet_050	18471.32	55.424	1024	224	0.05	1.77	2.59
18	mnasnet_050	18296.1	55.958	1024	224	0.11	3.07	2.22
19	regnetx_002	17879.88	57.26	1024	224	0.2	2.16	2.68
20	tinynet_c	17314.92	59.128	1024	184	0.11	2.87	2.46
21	regnety_002	16652.24	61.481	1024	224	0.2	2.17	3.16
22	mobilenetv2_050	16390.03	62.466	1024	224	0.1	3.64	1.97
23	semnasnet_050	16274.49	62.909	1024	224	0.11	3.44	2.08
24	lcnet_150	15027.49	68.13	1024	224	0.34	3.79	4.5
25	regnetx_004	14443.33	70.887	1024	224	0.4	3.14	5.16
26	levit_128	14144.82	72.382	1024	224	0.41	2.71	9.21
27	gernet_s	14022.8	73.012	1024	224	0.75	2.65	8.17
28	mobilenetv3_large_075	13623.51	75.153	1024	224	0.16	4.0	3.99
29	levit_192	12569.09	81.459	1024	224	0.66	3.2	10.95
30	mnasnet_075	12484.05	82.013	1024	224	0.23	4.77	3.17
31	hardcorenas_a	12417.99	82.45	1024	224	0.23	4.38	5.26
32	mobilenetv3_rw	12394.68	82.605	1024	224	0.23	4.41	5.48
33	mobilenetv3_large_100	12240.42	83.646	1024	224	0.23	4.41	5.48
34	mobilenetv3_large_100_miil	12231.48	83.708	1024	224	0.23	4.41	5.48
35	tf_mobilenetv3_large_075	11693.54	87.558	1024	224	0.16	4.0	3.99
36	tinynet_b	11575.42	88.451	1024	188	0.21	4.44	3.73
37	hardcorenas_b	11309.45	90.531	1024	224	0.26	5.09	5.18
38	ese_vovnet19b_slim_dw	11282.98	90.744	1024	224	0.4	5.28	1.9
39	hardcorenas_c	11278.74	90.778	1024	224	0.28	5.01	5.52
40	tf_mobilenetv3_large_minimal_100	11239.3	91.097	1024	224	0.22	4.4	3.92
41	mixer_s32_224	11024.19	92.875	1024	224	1.0	2.28	19.1
42	mnasnet_b1	10928.0	93.692	1024	224	0.33	5.46	4.38
43	mnasnet_100	10925.28	93.715	1024	224	0.33	5.46	4.38
44	ssl_resnet18	10839.84	94.456	1024	224	1.82	2.48	11.69
45	swsl_resnet18	10838.47	94.466	1024	224	1.82	2.48	11.69
46	resnet18	10801.25	94.792	1024	224	1.82	2.48	11.69
47	gluon_resnet18_v1b	10770.37	95.064	1024	224	1.82	2.48	11.69
48	tf_mobilenetv3_large_100	10561.44	96.944	1024	224	0.23	4.41	5.48
49	semnasnet_075	10534.15	97.196	1024	224	0.23	5.54	2.91
50	hardcorenas_d	10497.86	97.532	1024	224	0.3	4.93	7.5
51	ghostnet_100	10377.41	98.663	1024	224	0.15	3.55	5.18
52	mobilenetv2_075	10371.19	98.722	1024	224	0.22	5.86	2.64
53	vit_small_patch32_224	10204.75	100.333	1024	224	1.15	2.5	22.88
54	seresnet18	10134.68	101.027	1024	224	1.82	2.49	11.78
55	regnety_006	9954.3	102.858	1024	224	0.61	4.33	6.06
56	spnasnet_100	9888.24	103.545	1024	224	0.35	6.03	4.42
57	legacy_seresnet18	9818.56	104.281	1024	224	1.82	2.49	11.78
58	regnety_004	9541.83	107.304	1024	224	0.41	3.89	4.34
59	tinynet_a	9384.67	109.102	1024	192	0.35	5.41	6.19
60	hardcorenas_f	9332.55	109.711	1024	224	0.35	5.57	8.2
61	semnasnet_100	9315.23	109.915	1024	224	0.32	6.23	3.89
62	mnasnet_a1	9304.78	110.039	1024	224	0.32	6.23	3.89
63	mobilenetv2_100	9258.67	110.587	1024	224	0.31	6.68	3.5
64	hardcorenas_e	9198.78	111.307	1024	224	0.35	5.65	8.07
65	levit_256	9194.42	111.36	1024	224	1.13	4.23	18.89
66	tf_efficientnetv2_b0	9174.7	111.6	1024	224	0.73	4.77	7.14
67	fbnetc_100	9062.65	112.98	1024	224	0.4	6.51	5.57
68	efficientnet_lite0	8993.41	113.849	1024	224	0.4	6.74	4.65
69	resnet18d	8935.88	114.583	1024	224	2.06	3.29	11.71
70	vit_tiny_r_s16_p8_224	8745.04	117.083	1024	224	0.44	2.06	6.34
71	ese_vovnet19b_slim	8703.47	117.642	1024	224	1.69	3.52	3.17
72	regnetx_008	8472.48	120.85	1024	224	0.81	5.15	7.26
73	regnetx_006	7966.99	128.519	1024	224	0.61	3.98	6.2
74	levit_256d	7831.06	130.75	1024	224	1.4	4.93	26.21
75	regnety_008	7830.87	130.751	1024	224	0.81	5.25	6.26
76	tf_efficientnet_lite0	7797.89	131.305	1024	224	0.4	6.74	4.65
77	ghostnet_130	7607.96	134.583	1024	224	0.24	4.6	7.36
78	efficientnet_b0	7607.28	134.597	1024	224	0.4	6.75	5.29
79	mnasnet_140	7524.53	136.075	1024	224	0.6	7.71	7.12
80	rexnetr_100	7232.49	141.572	1024	224	0.43	7.72	4.88
81	mobilenetv2_110d	7028.36	145.684	1024	224	0.45	8.71	4.52
82	tf_efficientnet_b0_ap	6725.28	152.249	1024	224	0.4	6.75	5.29
83	tf_efficientnet_b0_ns	6722.65	152.307	1024	224	0.4	6.75	5.29
84	tf_efficientnet_b0	6714.91	152.484	1024	224	0.4	6.75	5.29
85	hrnet_w18_small	6643.57	154.12	1024	224	1.61	5.72	13.19
86	regnetz_005	6617.28	154.735	1024	224	0.52	5.86	7.12
87	gernet_m	6458.86	158.529	1024	224	3.02	5.24	21.14
88	semnasnet_140	6419.24	159.509	1024	224	0.6	8.87	6.11
89	tv_resnet34	6315.93	162.117	1024	224	3.67	3.74	21.8
90	resnet34	6312.51	162.205	1024	224	3.67	3.74	21.8
91	gluon_resnet34_v1b	6269.39	163.321	1024	224	3.67	3.74	21.8
92	mobilenetv2_140	6223.46	164.527	1024	224	0.6	9.57	6.11
93	ese_vovnet19b_dw	6166.26	166.054	1024	224	1.34	8.25	6.54
94	efficientnet_lite1	5999.14	170.68	1024	240	0.62	10.14	5.42
95	efficientnet_b1_pruned	5947.73	172.154	1024	240	0.4	6.21	6.33
96	selecsls42	5907.3	173.332	1024	224	2.94	4.62	30.35
97	selecsls42b	5879.07	174.165	1024	224	2.98	4.62	32.46
98	tf_efficientnetv2_b1	5876.94	174.228	1024	240	1.21	7.34	8.14
99	fbnetv3_b	5872.22	174.368	1024	256	0.55	9.1	8.6
100	seresnet34	5869.49	174.448	1024	224	3.67	3.74	21.96
101	skresnet18	5850.83	175.006	1024	224	1.82	3.24	11.96
102	rexnet_100	5841.4	175.288	1024	224	0.41	7.44	4.8
103	resnet26	5734.75	178.548	1024	224	2.36	7.35	16.0
104	efficientnet_es_pruned	5732.72	178.611	1024	224	1.81	8.73	5.44
105	efficientnet_es	5729.21	178.72	1024	224	1.81	8.73	5.44
106	legacy_seresnet34	5666.19	180.71	1024	224	3.67	3.74	21.96
107	resnet34d	5621.93	182.132	1024	224	3.91	4.54	21.82
108	levit_384	5524.35	185.349	1024	224	2.36	6.26	39.13
109	resnetblur18	5512.12	185.761	1024	224	2.34	3.39	11.69
110	nf_regnet_b0	5492.16	186.436	1024	256	0.64	5.58	8.76
111	rexnetr_130	5459.44	187.553	1024	224	0.68	9.81	7.61
112	tf_efficientnet_es	5422.9	188.816	1024	224	1.81	8.73	5.44
113	tf_efficientnet_lite1	5355.71	191.185	1024	240	0.62	10.14	5.42
114	selecsls60	5268.65	194.344	1024	224	3.59	5.52	30.67
115	selecsls60b	5252.65	194.936	1024	224	3.63	5.52	32.77
116	mobilenetv2_120d	5162.92	198.325	1024	224	0.69	11.97	5.83
117	repvgg_b0	5052.09	202.677	1024	224	3.41	6.15	15.82
118	resnet26d	4922.38	208.017	1024	224	2.6	8.15	16.01
119	fbnetv3_d	4802.31	213.218	1024	256	0.68	11.1	10.31
120	xcit_nano_12_p16_224	4773.0	214.528	1024	224	0.56	4.17	3.05
121	rexnetr_150	4769.15	214.701	1024	224	0.89	11.13	9.78
122	xcit_nano_12_p16_224_dist	4764.08	214.929	1024	224	0.56	4.17	3.05
123	vit_tiny_patch16_224	4754.4	215.366	1024	224	1.26	5.97	5.72
124	deit_tiny_patch16_224	4742.21	215.918	1024	224	1.26	5.97	5.72
125	nf_resnet26	4720.75	216.903	1024	224	2.41	7.35	16.0
126	visformer_tiny	4686.07	218.507	1024	224	1.27	5.72	10.32
127	deit_tiny_distilled_patch16_224	4682.4	218.676	1024	224	1.27	6.01	5.91
128	efficientnet_lite2	4622.9	221.493	1024	260	0.89	12.9	6.09
129	pit_ti_distilled_224	4461.94	229.484	1024	224	0.71	6.23	5.1
130	pit_ti_224	4451.07	230.044	1024	224	0.7	6.19	4.85
131	resmlp_12_distilled_224	4424.39	231.432	1024	224	3.01	5.5	15.35
132	resmlp_12_224	4422.97	231.507	1024	224	3.01	5.5	15.35
133	tf_efficientnetv2_b2	4364.43	234.612	1024	260	1.72	9.84	10.1
134	efficientnet_b0_g16_evos	4258.95	240.422	1024	224	1.01	7.42	8.11
135	tf_efficientnet_b1_ap	4209.48	243.247	1024	240	0.71	10.88	7.79
136	tf_efficientnet_b1	4206.94	243.394	1024	240	0.71	10.88	7.79
137	tf_efficientnet_b1_ns	4206.45	243.423	1024	240	0.71	10.88	7.79
138	gernet_l	4203.4	243.6	1024	256	4.57	8.0	31.08
139	legacy_seresnext26_32x4d	4195.67	244.05	1024	224	2.49	9.39	16.79
140	tf_efficientnet_lite2	4152.0	246.616	1024	260	0.89	12.9	6.09
141	resnext26ts	4093.42	250.143	1024	256	2.43	10.52	10.3
142	efficientnet_b1	4070.65	251.545	1024	256	0.77	12.22	7.79
143	mixer_b32_224	4051.68	252.722	1024	224	3.24	6.29	60.29
144	vit_base_patch32_224_sam	4039.13	253.507	1024	224	4.41	5.01	88.22
145	vit_base_patch32_224	4032.31	253.936	1024	224	4.41	5.01	88.22
146	rexnet_130	3995.13	256.299	1024	224	0.68	9.71	7.56
147	nf_seresnet26	3989.88	256.637	1024	224	2.41	7.36	17.4
148	nf_ecaresnet26	3979.77	257.29	1024	224	2.41	7.36	16.0
149	seresnext26ts	3962.63	258.399	1024	256	2.43	10.52	10.39
150	eca_resnext26ts	3962.0	258.443	1024	256	2.43	10.52	10.3
151	repvgg_a2	3879.7	263.924	1024	224	5.7	6.26	28.21
152	resnet26t	3812.96	268.545	1024	256	3.35	10.52	16.01
153	regnetx_016	3789.45	270.213	1024	224	1.62	7.93	9.19
154	gcresnext26ts	3774.22	271.302	1024	256	2.43	10.53	10.48
155	efficientnet_b2_pruned	3765.97	271.895	1024	260	0.73	9.13	8.31
156	mobilevit_xxs	3756.03	272.615	1024	256	0.42	8.34	1.27
157	seresnext26t_32x4d	3753.45	272.802	1024	224	2.7	10.09	16.81
158	rexnet_150	3752.67	272.86	1024	224	0.9	11.21	9.73
159	seresnext26tn_32x4d	3752.12	272.899	1024	224	2.7	10.09	16.81
160	seresnext26d_32x4d	3746.32	273.322	1024	224	2.73	10.19	16.81
161	ecaresnext50t_32x4d	3742.01	273.637	1024	224	2.7	10.09	15.41
162	ecaresnext26t_32x4d	3741.38	273.685	1024	224	2.7	10.09	15.41
163	resnetv2_50	3727.11	274.73	1024	224	4.11	11.11	25.55
164	ecaresnet50d_pruned	3716.52	275.512	1024	224	2.53	6.43	19.94
165	eca_botnext26ts_256	3657.01	279.998	1024	256	2.46	11.6	10.59
166	pit_xs_224	3649.08	280.606	1024	224	1.4	7.71	10.62
167	mixer_s16_224	3636.18	281.601	1024	224	3.79	5.97	18.53
168	pit_xs_distilled_224	3615.14	283.241	1024	224	1.41	7.76	11.0
169	ecaresnetlight	3578.86	286.112	1024	224	4.11	8.42	30.16
170	gluon_resnet50_v1b	3553.85	288.125	1024	224	4.11	11.11	25.56
171	eca_halonext26ts	3546.67	288.71	1024	256	2.44	11.46	10.76
172	swsl_resnet50	3546.19	288.748	1024	224	4.11	11.11	25.56
173	tv_resnet50	3545.52	288.801	1024	224	4.11	11.11	25.56
174	ssl_resnet50	3545.14	288.833	1024	224	4.11	11.11	25.56
175	resnet50	3544.26	288.904	1024	224	4.11	11.11	25.56
176	poolformer_s12	3517.37	291.113	1024	224	1.82	5.53	11.92
177	rexnetr_200	3507.94	145.944	512	224	1.59	15.11	16.52
178	dla46_c	3470.52	295.04	1024	224	0.58	4.5	1.3
179	efficientnet_em	3446.66	297.086	1024	240	3.04	14.34	6.9
180	resnet32ts	3441.99	297.489	1024	256	4.63	11.58	17.96
181	dpn68	3441.53	297.53	1024	224	2.35	10.47	12.61
182	dpn68b	3424.64	298.997	1024	224	2.35	10.47	12.61
183	botnet26t_256	3414.09	299.918	1024	256	3.32	11.98	12.49
184	regnety_016	3396.79	301.447	1024	224	1.63	8.04	11.2
185	xcit_tiny_12_p16_224_dist	3391.79	301.892	1024	224	1.24	6.29	6.72
186	resnet33ts	3389.22	302.122	1024	256	4.76	11.66	19.68
187	xcit_tiny_12_p16_224	3388.8	302.158	1024	224	1.24	6.29	6.72
188	nf_regnet_b1	3376.64	303.248	1024	288	1.02	9.2	10.22
189	resnetv2_50t	3372.1	303.654	1024	224	4.32	11.82	25.57
190	resnetv2_50d	3370.23	303.824	1024	224	4.35	11.92	25.57
191	gluon_resnet50_v1c	3357.28	304.996	1024	224	4.35	11.92	25.58
192	nf_regnet_b2	3357.15	305.008	1024	272	1.22	9.27	14.31
193	halonet26t	3341.01	306.482	1024	256	3.19	11.69	12.48
194	gmixer_12_224	3331.74	307.335	1024	224	2.67	7.26	12.7
195	tf_efficientnet_em	3315.19	308.867	1024	240	3.04	14.34	6.9
196	skresnet34	3309.87	309.366	1024	224	3.67	5.13	22.28
197	seresnet33ts	3273.95	312.759	1024	256	4.76	11.66	19.78
198	tf_efficientnet_b2	3269.65	313.17	1024	260	1.02	13.83	9.11
199	eca_resnet33ts	3266.95	313.43	1024	256	4.76	11.66	19.68
200	tf_efficientnet_b2_ns	3265.96	313.524	1024	260	1.02	13.83	9.11
201	tf_efficientnet_b2_ap	3265.24	313.594	1024	260	1.02	13.83	9.11
202	vit_small_patch32_384	3261.97	313.907	1024	384	3.45	8.25	22.92
203	resnet50t	3224.3	317.574	1024	224	4.32	11.82	25.57
204	gluon_resnet50_v1d	3223.07	317.695	1024	224	4.35	11.92	25.58
205	bat_resnext26ts	3219.21	318.076	1024	256	2.53	12.51	10.73
206	resnet50d	3219.13	318.085	1024	224	4.35	11.92	25.58
207	legacy_seresnet50	3183.45	321.65	1024	224	3.88	10.6	28.09
208	convnext_nano_hnf	3142.93	325.795	1024	224	2.45	8.37	15.59
209	gcresnet33ts	3109.78	329.272	1024	256	4.76	11.68	19.88
210	vovnet39a	3106.34	329.636	1024	224	7.09	6.73	22.6
211	efficientnet_b2	3086.88	331.715	1024	288	1.12	16.2	9.11
212	efficientnet_b2a	3085.38	331.876	1024	288	1.12	16.2	9.11
213	seresnet50	3063.5	334.246	1024	224	4.11	11.13	28.09
214	efficientnet_b3_pruned	3061.51	334.462	1024	300	1.04	11.86	9.86
215	vit_small_resnet26d_224	3015.3	339.587	1024	224	5.07	11.12	63.61
216	ese_vovnet39b	2994.81	341.913	1024	224	7.09	6.74	24.57
217	res2net50_48w_2s	2988.95	342.583	1024	224	4.18	11.72	25.29
218	cspresnext50	2987.05	342.799	1024	224	3.1	12.14	20.57
219	haloregnetz_b	2983.57	343.199	1024	224	1.97	11.94	11.68
220	eca_vovnet39b	2981.18	343.475	1024	224	7.09	6.74	22.6
221	selecsls84	2979.85	343.628	1024	224	5.9	7.57	50.95
222	tv_resnext50_32x4d	2888.51	354.496	1024	224	4.26	14.4	25.03
223	swsl_resnext50_32x4d	2887.95	354.564	1024	224	4.26	14.4	25.03
224	gluon_resnext50_32x4d	2886.69	354.718	1024	224	4.26	14.4	25.03
225	resnetaa50d	2886.21	354.778	1024	224	5.39	12.44	25.58
226	resnext50_32x4d	2882.66	355.215	1024	224	4.26	14.4	25.03
227	ssl_resnext50_32x4d	2874.35	356.241	1024	224	4.26	14.4	25.03
228	mixnet_s	2870.58	356.71	1024	224	0.25	6.25	4.13
229	tv_densenet121	2868.5	356.969	1024	224	2.87	6.9	7.98
230	densenet121	2859.93	358.034	1024	224	2.87	6.9	7.98
231	crossvit_tiny_240	2844.98	359.92	1024	240	1.57	9.08	7.01
232	gluon_resnet50_v1s	2839.32	360.638	1024	224	5.47	13.52	25.68
233	resnetrs50	2835.76	361.089	1024	224	4.48	12.14	35.69
234	ecaresnet101d_pruned	2830.74	361.73	1024	224	3.48	7.69	24.88
235	seresnet50t	2823.21	362.695	1024	224	4.32	11.83	28.1
236	ecaresnet50d	2805.68	364.961	1024	224	4.35	11.93	25.58
237	rexnet_200	2798.14	182.968	512	224	1.56	14.91	16.37
238	dla34	2784.38	367.75	1024	224	3.07	5.02	15.74
239	crossvit_9_240	2767.15	370.043	1024	240	1.85	9.52	8.55
240	dla46x_c	2763.35	370.549	1024	224	0.54	5.66	1.07
241	hrnet_w18_small_v2	2753.44	371.885	1024	224	2.62	9.65	15.6
242	cspresnet50	2747.09	372.74	1024	256	4.54	11.5	21.62
243	densenet121d	2731.42	374.878	1024	224	3.11	7.7	8.0
244	tf_mixnet_s	2728.95	375.223	1024	224	0.25	6.25	4.13
245	crossvit_9_dagger_240	2727.58	375.412	1024	240	1.99	9.97	8.78
246	convit_tiny	2724.97	375.771	1024	224	1.26	7.94	5.71
247	efficientnet_lite3	2724.75	187.896	512	300	1.65	21.85	8.2
248	regnetz_b16	2699.0	379.388	1024	288	2.39	16.43	9.72
249	dla60x_c	2695.93	379.816	1024	224	0.59	6.01	1.32
250	resnext50d_32x4d	2662.94	384.525	1024	224	4.5	15.2	25.05
251	resnetblur50	2614.02	391.72	1024	224	5.16	12.02	25.56
252	vgg11_bn	2605.49	196.497	512	224	7.62	7.44	132.87
253	gmlp_ti16_224	2595.56	394.507	1024	224	1.34	7.55	5.87
254	cspresnet50d	2589.51	395.427	1024	256	4.86	12.55	21.64
255	cspresnet50w	2569.03	398.577	1024	256	5.04	12.19	28.12
256	legacy_seresnext50_32x4d	2559.94	399.996	1024	224	4.26	14.42	27.56
257	seresnext50_32x4d	2557.01	400.454	1024	224	4.26	14.42	27.56
258	seresnetaa50d	2555.76	400.65	1024	224	5.4	12.46	28.11
259	gluon_seresnext50_32x4d	2554.83	400.796	1024	224	4.26	14.42	27.56
260	vovnet57a	2541.91	402.835	1024	224	8.95	7.52	36.64
261	res2net50_26w_4s	2528.48	404.972	1024	224	4.28	12.61	25.7
262	fbnetv3_g	2526.11	405.353	1024	288	1.77	21.09	16.62
263	gcresnet50t	2519.53	406.409	1024	256	5.42	14.67	25.9
264	mobilevit_xs	2517.79	203.342	512	256	1.05	16.33	2.32
265	efficientnetv2_rw_t	2509.76	407.994	1024	288	3.19	16.42	13.65
266	tf_efficientnetv2_b3	2477.2	413.357	1024	300	3.04	15.74	14.36
267	ese_vovnet57b	2451.87	417.628	1024	224	8.95	7.52	38.61
268	vit_base2_patch32_256	2444.79	418.837	1024	256	7.79	7.76	119.46
269	densenetblur121d	2444.27	418.923	1024	224	3.11	7.9	8.0
270	tf_efficientnet_lite3	2442.3	209.627	512	300	1.65	21.85	8.2
271	vit_tiny_r_s16_p8_384	2438.04	209.992	512	384	1.34	6.49	6.36
272	vit_small_patch16_224	2432.98	420.87	1024	224	4.61	11.95	22.05
273	resnetblur50d	2432.25	420.996	1024	224	5.4	12.82	25.58
274	deit_small_patch16_224	2428.96	421.564	1024	224	4.61	11.95	22.05
275	nf_seresnet50	2416.51	423.739	1024	224	4.21	11.13	28.09
276	nf_ecaresnet50	2408.03	425.23	1024	224	4.21	11.13	25.56
277	inception_v3	2407.94	425.243	1024	299	5.73	8.97	23.83
278	tf_inception_v3	2403.0	426.12	1024	299	5.73	8.97	23.83
279	pit_s_224	2400.22	426.615	1024	224	2.88	11.56	23.46
280	adv_inception_v3	2396.39	427.291	1024	299	5.73	8.97	23.83
281	deit_small_distilled_patch16_224	2393.24	427.856	1024	224	4.63	12.02	22.44
282	gluon_inception_v3	2390.99	428.257	1024	299	5.73	8.97	23.83
283	pit_s_distilled_224	2380.56	430.136	1024	224	2.9	11.64	24.04
284	vit_base_resnet26d_224	2375.02	431.141	1024	224	6.97	13.16	101.4
285	resnest14d	2369.9	432.072	1024	224	2.76	7.33	10.61
286	lambda_resnet26rpt_256	2366.95	216.301	512	256	3.16	11.87	10.99
287	densenet169	2363.13	433.308	1024	224	3.4	7.3	14.15
288	skresnet50	2341.67	437.282	1024	224	4.11	12.5	25.8
289	gc_efficientnetv2_rw_t	2301.92	444.832	1024	288	3.2	16.45	13.68
290	res2net50_14w_8s	2274.27	450.241	1024	224	4.21	13.28	25.06
291	gcresnext50ts	2273.63	450.365	1024	256	3.75	15.46	15.67
292	sehalonet33ts	2269.0	225.638	512	256	3.55	14.7	13.69
293	resmlp_24_224	2264.75	452.133	1024	224	5.96	10.91	30.02
294	resmlp_24_distilled_224	2264.4	452.202	1024	224	5.96	10.91	30.02
295	darknet53	2257.9	226.743	512	256	9.31	12.39	41.61
296	resnetv2_101	2240.07	457.113	1024	224	7.83	16.23	44.54
297	skresnet50d	2193.77	466.762	1024	224	4.36	13.31	25.82
298	gluon_resnet101_v1b	2175.78	470.623	1024	224	7.83	16.23	44.55
299	tv_resnet101	2173.0	471.223	1024	224	7.83	16.23	44.55
300	resnet101	2169.86	471.907	1024	224	7.83	16.23	44.55
301	res2next50	2165.07	472.951	1024	224	4.2	13.71	24.67
302	nf_regnet_b3	2142.11	478.019	1024	320	2.05	14.61	18.59
303	ecaresnet26t	2130.22	480.685	1024	320	5.24	16.44	16.01
304	resnetv2_101d	2102.02	487.136	1024	224	8.07	17.04	44.56
305	gluon_resnet101_v1c	2099.96	487.615	1024	224	8.08	17.04	44.57
306	dla60	2086.09	490.853	1024	224	4.26	10.16	22.04
307	gluon_resnet101_v1d	2048.54	499.853	1024	224	8.08	17.04	44.57
308	vgg13	2036.07	502.915	1024	224	11.31	12.25	133.05
309	convnext_tiny_hnf	2032.23	503.867	1024	224	4.47	13.44	28.59
310	mobilevit_s	2031.79	251.983	512	256	2.03	19.94	5.58
311	wide_resnet50_2	2003.76	511.025	1024	224	11.43	14.4	68.88
312	efficientnet_b0_gn	1990.83	257.167	512	224	0.42	6.75	5.29
313	repvgg_b1	1937.46	528.514	1024	224	13.16	10.64	57.42
314	sebotnet33ts_256	1925.17	199.45	384	256	3.89	17.46	13.7
315	legacy_seresnet101	1920.98	533.049	1024	224	7.61	15.74	49.33
316	resnetaa101d	1902.88	538.118	1024	224	9.12	17.56	44.57
317	semobilevit_s	1901.2	269.292	512	256	2.03	19.95	5.74
318	dla60x	1896.63	539.888	1024	224	3.54	13.8	17.35
319	vit_base_resnet50d_224	1891.44	541.372	1024	224	8.73	16.92	110.97
320	gluon_resnet101_v1s	1885.09	543.196	1024	224	9.19	18.64	44.67
321	resnet51q	1880.5	544.522	1024	288	8.07	20.94	35.7
322	seresnet101	1876.16	545.782	1024	224	7.84	16.27	49.33
323	tf_efficientnet_b3_ns	1869.48	273.862	512	300	1.87	23.83	12.23
324	tf_efficientnet_b3	1867.21	274.194	512	300	1.87	23.83	12.23
325	tf_efficientnet_b3_ap	1867.02	274.222	512	300	1.87	23.83	12.23
326	coat_lite_tiny	1852.39	552.786	1024	224	1.6	11.65	5.72
327	efficientnet_b3	1838.85	278.423	512	320	2.01	26.52	12.23
328	efficientnet_b3a	1837.41	278.642	512	320	2.01	26.52	12.23
329	poolformer_s24	1826.45	560.637	1024	224	3.41	10.68	21.39
330	densenet201	1819.15	562.883	1024	224	4.34	7.85	20.01
331	xcit_tiny_24_p16_224_dist	1814.23	564.411	1024	224	2.34	11.82	12.12
332	nf_resnet101	1807.6	566.485	1024	224	8.01	16.23	44.55
333	xcit_tiny_24_p16_224	1806.45	566.843	1024	224	2.34	11.82	12.12
334	cspdarknet53	1800.59	284.34	512	256	6.57	16.81	27.64
335	resnext101_32x4d	1797.78	569.576	1024	224	8.01	21.23	44.18
336	ssl_resnext101_32x4d	1797.66	569.615	1024	224	8.01	21.23	44.18
337	swsl_resnext101_32x4d	1795.39	570.337	1024	224	8.01	21.23	44.18
338	gluon_resnext101_32x4d	1793.08	571.07	1024	224	8.01	21.23	44.18
339	xcit_small_12_p16_224_dist	1789.93	572.076	1024	224	4.82	12.58	26.25
340	xcit_small_12_p16_224	1789.28	572.284	1024	224	4.82	12.58	26.25
341	halonet50ts	1788.45	572.549	1024	256	5.3	19.2	22.73
342	res2net50_26w_6s	1775.31	576.783	1024	224	6.33	15.28	37.05
343	coat_lite_mini	1771.74	577.95	1024	224	2.0	12.25	11.01
344	ecaresnet101d	1771.55	578.01	1024	224	8.08	17.07	44.57
345	convnext_tiny_hnfd	1758.43	582.323	1024	224	4.78	14.64	28.63
346	regnetz_c16	1753.5	291.974	512	320	3.92	25.88	13.46
347	nf_resnet50	1751.0	584.795	1024	288	6.88	18.37	25.56
348	dla60_res2net	1735.18	590.122	1024	224	4.15	12.34	20.85
349	convnext_tiny	1731.03	591.541	1024	224	4.47	13.44	28.59
350	resnest26d	1730.95	591.569	1024	224	3.64	9.97	17.07
351	vit_small_r26_s32_224	1710.8	598.536	1024	224	3.56	9.85	36.43
352	gmixer_24_224	1701.15	601.933	1024	224	5.28	14.45	24.72
353	resnetblur101d	1698.79	602.767	1024	224	9.12	17.94	44.57
354	resnet61q	1686.77	607.063	1024	288	9.87	21.52	36.85
355	vgg13_bn	1654.93	309.368	512	224	11.33	12.25	133.05
356	vgg16	1643.23	623.151	1024	224	15.47	13.56	138.36
357	xcit_nano_12_p16_384_dist	1641.55	623.788	1024	384	1.64	12.15	3.05
358	efficientnet_b0_g8_gn	1622.56	315.54	512	224	0.66	6.75	6.56
359	repvgg_b1g4	1617.36	633.118	1024	224	8.15	10.64	39.97
360	regnetx_032	1612.7	634.945	1024	224	3.2	11.37	15.3
361	resnetv2_50d_frn	1611.81	635.295	1024	224	4.33	11.92	25.59
362	res2net101_26w_4s	1600.73	639.694	1024	224	8.1	18.45	45.21
363	regnetx_040	1592.21	643.119	1024	224	3.99	12.2	22.12
364	legacy_seresnext101_32x4d	1591.58	643.374	1024	224	8.02	21.26	48.96
365	seresnext101_32x4d	1590.99	643.61	1024	224	8.02	21.26	48.96
366	gluon_seresnext101_32x4d	1588.09	644.785	1024	224	8.02	21.26	48.96
367	twins_svt_small	1586.89	645.273	1024	224	2.94	13.75	24.06
368	ese_vovnet39b_evos	1567.33	653.327	1024	224	7.07	6.74	24.58
369	xception41p	1557.52	328.715	512	299	9.25	39.86	26.91
370	visformer_small	1553.17	659.284	1024	224	4.88	11.43	40.22
371	hrnet_w32	1550.18	660.555	1024	224	8.97	22.02	41.23
372	resnetv2_152	1549.71	660.755	1024	224	11.55	22.56	60.19
373	dla60_res2next	1549.6	660.797	1024	224	3.49	13.17	17.03
374	resnetv2_50d_evob	1548.76	661.162	1024	224	4.33	11.92	25.59
375	resnest50d_1s4x24d	1548.3	661.358	1024	224	4.43	13.57	25.68
376	xception	1544.37	331.513	512	299	8.4	35.83	22.86
377	botnet50ts_256	1543.72	331.651	512	256	5.54	22.23	22.74
378	dla102	1543.56	663.384	1024	224	7.19	14.18	33.27
379	resnetv2_50x1_bit_distilled	1536.12	666.602	1024	224	4.23	11.11	25.55
380	crossvit_small_240	1535.71	666.778	1024	240	5.63	18.17	26.86
381	gluon_resnet152_v1b	1521.2	673.136	1024	224	11.56	22.56	60.19
382	resmlp_36_224	1519.99	673.674	1024	224	8.91	16.33	44.69
383	tv_resnet152	1519.51	673.886	1024	224	11.56	22.56	60.19
384	resmlp_36_distilled_224	1519.32	673.971	1024	224	8.91	16.33	44.69
385	resnet152	1516.8	675.093	1024	224	11.56	22.56	60.19
386	efficientnet_el_pruned	1511.43	338.74	512	300	8.0	30.7	10.59
387	efficientnet_el	1502.87	340.669	512	300	8.0	30.7	10.59
388	res2net50_26w_8s	1500.5	682.425	1024	224	8.37	17.95	48.4
389	nf_seresnet101	1495.3	684.796	1024	224	8.02	16.27	49.33
390	nf_ecaresnet101	1488.87	687.754	1024	224	8.01	16.27	44.55
391	resnetv2_152d	1485.92	689.12	1024	224	11.8	23.36	60.2
392	gluon_resnet152_v1c	1482.34	690.787	1024	224	11.8	23.36	60.21
393	halo2botnet50ts_256	1478.01	692.809	1024	256	5.02	21.78	22.64
394	tf_efficientnet_el	1462.97	349.96	512	300	8.0	30.7	10.59
395	gluon_resnet152_v1d	1456.19	703.189	1024	224	11.8	23.36	60.21
396	mixnet_m	1441.42	710.398	1024	224	0.36	8.19	5.01
397	gmlp_s16_224	1435.92	713.117	1024	224	4.42	15.1	19.42
398	hrnet_w18	1435.25	713.441	1024	224	4.32	16.31	21.3
399	vit_large_patch32_224	1434.56	713.791	1024	224	15.39	13.3	306.54
400	dla102x	1422.48	719.854	1024	224	5.89	19.42	26.31
401	tf_mixnet_m	1407.14	727.704	1024	224	0.36	8.19	5.01
402	vit_base_r26_s32_224	1405.74	728.426	1024	224	6.81	12.36	101.38
403	crossvit_15_240	1405.36	728.622	1024	240	5.81	19.77	27.53
404	mixer_b16_224	1393.37	734.893	1024	224	12.62	14.53	59.88
405	cait_xxs24_224	1391.6	735.832	1024	224	2.53	20.29	11.96
406	mixer_b16_224_miil	1391.59	735.836	1024	224	12.62	14.53	59.88
407	mixer_l32_224	1381.87	741.013	1024	224	11.27	19.86	206.94
408	vgg19	1378.09	743.046	1024	224	19.63	14.86	143.67
409	ecaresnet50t	1376.72	743.784	1024	320	8.82	24.13	25.57
410	crossvit_15_dagger_240	1372.92	745.84	1024	240	6.13	20.43	28.21
411	gluon_resnet152_v1s	1372.05	746.315	1024	224	12.92	24.96	60.32
412	vgg16_bn	1370.07	373.69	512	224	15.5	13.56	138.37
413	regnety_032	1366.08	749.575	1024	288	5.29	18.61	19.44
414	skresnext50_32x4d	1361.83	751.915	1024	224	4.5	17.18	27.48
415	ese_vovnet99b	1355.58	755.384	1024	224	16.51	11.27	63.2
416	xception41	1339.87	382.115	512	299	9.28	39.86	26.97
417	legacy_seresnet152	1328.26	770.919	1024	224	11.33	22.08	66.82
418	dpn92	1311.48	780.784	1024	224	6.54	18.21	37.67
419	seresnet152	1304.92	784.709	1024	224	11.57	22.61	66.82
420	vit_base_patch32_384	1292.62	792.174	1024	384	13.06	16.5	88.3
421	efficientnet_lite4	1290.99	297.435	384	380	4.04	45.66	13.01
422	inception_v4	1286.59	795.889	1024	299	12.28	15.09	42.68
423	swin_tiny_patch4_window7_224	1284.81	796.991	1024	224	4.51	17.06	28.29
424	tresnet_m	1280.32	799.79	1024	224	5.74	7.31	31.39
425	densenet161	1276.37	802.258	1024	224	7.79	11.06	28.68
426	twins_pcpvt_small	1273.73	803.927	1024	224	3.83	18.08	24.11
427	regnetx_080	1262.29	811.211	1024	224	8.02	14.06	39.57
428	convit_small	1252.96	817.253	1024	224	5.76	17.87	27.78
429	repvgg_b2	1245.13	822.392	1024	224	20.45	12.9	89.02
430	xcit_nano_12_p8_224_dist	1241.05	825.093	1024	224	2.16	15.71	3.05
431	xcit_nano_12_p8_224	1238.63	826.705	1024	224	2.16	15.71	3.05
432	poolformer_s36	1233.24	830.321	1024	224	5.0	15.82	30.86
433	hrnet_w30	1225.12	835.817	1024	224	8.15	21.21	37.71
434	swin_s3_tiny_224	1200.23	853.151	1024	224	4.64	19.13	28.33
435	vit_tiny_patch16_384	1196.63	855.72	1024	384	4.7	25.39	5.79
436	vit_small_resnet50d_s16_224	1187.59	862.229	1024	224	13.48	24.82	57.53
437	tf_efficientnet_lite4	1185.79	323.823	384	380	4.04	45.66	13.01
438	resnest50d	1179.24	868.341	1024	224	5.4	14.36	27.48
439	vgg19_bn	1171.24	437.132	512	224	19.66	14.86	143.68
440	regnetx_064	1170.17	437.532	512	224	6.49	16.37	26.21
441	nf_regnet_b4	1167.32	877.209	1024	384	4.7	28.61	30.21
442	xcit_tiny_12_p16_384_dist	1163.91	879.777	1024	384	3.64	18.26	6.72
443	efficientnetv2_s	1144.22	894.92	1024	384	8.44	35.77	21.46
444	dla169	1134.2	902.821	1024	224	11.6	20.2	53.39
445	regnetz_d8	1133.56	903.33	1024	320	6.19	37.08	23.37
446	wide_resnet101_2	1128.84	907.11	1024	224	22.8	21.23	126.89
447	gluon_resnext101_64x4d	1125.42	909.866	1024	224	15.52	31.21	83.46
448	convnext_small	1123.49	911.428	1024	224	8.7	21.56	50.22
449	xception65p	1116.94	458.382	512	299	13.91	52.48	39.82
450	mixnet_l	1114.32	459.458	512	224	0.58	10.84	7.33
451	resnet50_gn	1113.26	919.804	1024	224	4.14	11.11	25.56
452	eca_nfnet_l0	1110.51	922.082	1024	288	7.12	17.29	24.14
453	tf_efficientnetv2_s_in21ft1k	1107.38	924.691	1024	384	8.44	35.77	21.46
454	nfnet_l0	1107.03	924.983	1024	288	7.13	17.29	35.07
455	tf_efficientnetv2_s	1106.17	925.705	1024	384	8.44	35.77	21.46
456	resnet200	1102.75	928.576	1024	224	15.07	32.19	64.67
457	dpn98	1102.66	928.653	1024	224	11.73	25.2	61.57
458	swin_v2_cr_tiny_224	1099.27	931.506	1024	224	4.66	30.64	28.33
459	tf_mixnet_l	1097.03	466.699	512	224	0.58	10.84	7.33
460	resnetrs101	1091.82	937.873	1024	288	13.56	28.53	63.62
461	efficientnetv2_rw_s	1077.94	949.947	1024	384	8.72	38.03	23.94
462	ens_adv_inception_resnet_v2	1069.64	957.319	1024	299	13.18	25.06	55.84
463	inception_resnet_v2	1067.04	959.647	1024	299	13.18	25.06	55.84
464	volo_d1_224	1051.19	974.121	1024	224	6.94	24.43	26.63
465	coat_lite_small	1050.15	975.08	1024	224	3.96	22.09	19.84
466	nest_tiny	1050.07	487.574	512	224	5.83	25.48	17.06
467	dla102x2	1042.76	490.987	512	224	9.34	29.91	41.28
468	swin_v2_cr_tiny_ns_224	1041.51	983.175	1024	224	4.66	30.64	28.33
469	gluon_seresnext101_64x4d	1039.57	985.01	1024	224	15.53	31.25	88.23
470	jx_nest_tiny	1035.76	494.311	512	224	5.83	25.48	17.06
471	ssl_resnext101_32x8d	1034.73	989.616	1024	224	16.48	31.21	88.79
472	ig_resnext101_32x8d	1034.2	990.121	1024	224	16.48	31.21	88.79
473	regnetz_040	1033.76	371.447	384	320	6.35	37.78	27.12
474	swsl_resnext101_32x8d	1032.69	991.574	1024	224	16.48	31.21	88.79
475	crossvit_18_240	1032.44	991.813	1024	240	9.05	26.26	43.27
476	resnext101_32x8d	1032.2	992.04	1024	224	16.48	31.21	88.79
477	vit_base_patch16_224_miil	1029.44	994.703	1024	224	17.58	23.9	86.54
478	regnetz_040h	1028.74	373.26	384	320	6.43	37.94	28.94
479	crossvit_18_dagger_240	1009.42	1014.425	1024	240	9.5	27.03	44.27
480	deit_base_patch16_224	1007.07	1016.797	1024	224	17.58	23.9	86.57
481	repvgg_b3	1006.51	1017.356	1024	224	29.16	15.1	123.09
482	regnetz_d32	1003.93	1019.976	1024	320	9.33	37.08	27.58
483	resnet101d	1003.08	1020.84	1024	320	16.48	34.77	44.57
484	vit_base_patch16_224	1001.4	1022.55	1024	224	17.58	23.9	86.57
485	vit_base_patch16_224_sam	1001.03	1022.936	1024	224	17.58	23.9	86.57
486	deit_base_distilled_patch16_224	991.69	1032.561	1024	224	17.68	24.05	87.34
487	hrnet_w40	985.45	1039.098	1024	224	12.75	25.29	57.56
488	resnest50d_4s2x40d	982.63	1042.082	1024	224	4.4	17.94	30.42
489	gluon_xception65	976.14	524.501	512	299	13.96	52.48	39.92
490	xception65	967.24	529.329	512	299	13.96	52.48	39.92
491	efficientnet_b4	965.42	397.741	384	384	4.51	50.04	19.34
492	xcit_small_24_p16_224_dist	951.37	1076.325	1024	224	9.1	23.64	47.67
493	xcit_small_24_p16_224	950.22	1077.629	1024	224	9.1	23.64	47.67
494	cait_xxs36_224	935.04	1095.127	1024	224	3.77	30.34	17.3
495	twins_pcpvt_base	931.12	1099.735	1024	224	6.68	25.25	43.83
496	beit_base_patch16_224	922.95	1109.472	1024	224	17.58	23.9	86.53
497	twins_svt_base	918.68	1114.635	1024	224	8.59	26.33	56.07
498	regnetz_b16_evos	915.33	559.349	512	288	2.36	16.43	9.74
499	tf_efficientnet_b4	914.19	420.029	384	380	4.49	49.49	19.34
500	tf_efficientnet_b4_ap	913.49	420.352	384	380	4.49	49.49	19.34
501	tf_efficientnet_b4_ns	913.14	420.511	384	380	4.49	49.49	19.34
502	hrnet_w48	884.3	1157.963	1024	224	17.34	28.56	77.47
503	xcit_tiny_12_p8_224_dist	876.78	1167.888	1024	224	4.81	23.6	6.71
504	xcit_tiny_12_p8_224	875.61	1169.457	1024	224	4.81	23.6	6.71
505	pit_b_224	856.55	597.735	512	224	12.42	32.94	73.76
506	pit_b_distilled_224	853.55	599.838	512	224	12.5	33.07	74.79
507	poolformer_m36	851.1	1203.131	1024	224	8.8	22.02	56.17
508	regnetv_040	850.32	602.11	512	288	6.6	20.3	20.64
509	regnety_040	849.8	602.48	512	288	6.61	20.3	20.65
510	nfnet_f0	847.6	1208.099	1024	256	12.62	18.05	71.49
511	swin_small_patch4_window7_224	843.82	1213.517	1024	224	8.77	27.47	49.61
512	convnext_base	830.25	1233.341	1024	224	15.38	28.75	88.59
513	convnext_small_in22ft1k	830.17	1233.46	1024	224	15.38	28.75	88.59
514	convnext_tiny_in22ft1k	829.7	1234.165	1024	224	15.38	28.75	88.59
515	convnext_base_in22ft1k	829.03	1235.157	1024	224	15.38	28.75	88.59
516	repvgg_b2g4	814.15	1257.742	1024	224	12.63	12.9	61.76
517	dpn131	812.55	1260.217	1024	224	16.09	32.97	79.25
518	resnetv2_50d_evos	809.41	1265.096	1024	288	7.15	19.7	25.59
519	hrnet_w44	795.23	1287.667	1024	224	14.94	26.92	67.06
520	vit_small_patch16_36x1_224	784.17	1305.822	1024	224	13.71	35.69	64.67
521	regnetx_120	781.81	654.877	512	224	12.13	21.37	46.11
522	cait_s24_224	780.6	1311.795	1024	224	9.35	40.58	46.92
523	vit_small_patch16_18x2_224	769.43	1330.841	1024	224	13.71	35.69	64.67
524	dm_nfnet_f0	760.88	1345.793	1024	256	12.62	18.05	71.49
525	densenet264	753.79	1358.443	1024	224	12.95	12.8	72.69
526	regnety_120	753.56	679.427	512	224	12.14	21.38	51.82
527	mixnet_xl	753.01	679.926	512	224	0.93	14.57	11.9
528	xception71	742.19	689.834	512	299	18.09	69.92	42.34
529	hrnet_w64	727.09	1408.333	1024	224	28.97	35.09	128.06
530	resnetv2_50d_gn	725.28	705.917	512	288	7.24	19.7	25.57
531	coat_tiny	723.65	1415.036	1024	224	4.35	27.2	5.5
532	resnet152d	715.97	1430.207	1024	320	24.08	47.67	60.21
533	swin_v2_cr_small_224	712.21	1437.764	1024	224	9.08	53.85	49.7
534	seresnet200d	707.7	1446.92	1024	256	20.01	43.15	71.86
535	regnety_040s_gn	707.19	723.977	512	224	4.03	12.29	20.65
536	dpn107	704.9	1452.679	1024	224	18.38	33.46	86.92
537	ecaresnet200d	704.84	1452.788	1024	256	20.0	43.15	64.69
538	nest_small	704.83	726.402	512	224	10.35	40.04	38.35
539	vit_large_r50_s32_224	700.71	1461.355	1024	224	19.58	24.41	328.99
540	twins_svt_large	699.68	1463.514	1024	224	15.15	35.1	99.27
541	jx_nest_small	698.3	733.197	512	224	10.35	40.04	38.35
542	cspresnext50_iabn	694.07	1475.332	1024	256	4.02	15.86	20.57
543	xcit_medium_24_p16_224_dist	693.66	1476.222	1024	224	16.13	31.71	84.4
544	xcit_medium_24_p16_224	693.5	1476.544	1024	224	16.13	31.71	84.4
545	gmlp_b16_224	692.91	1477.808	1024	224	15.78	30.21	73.08
546	legacy_senet154	690.74	1482.459	1024	224	20.77	38.69	115.09
547	senet154	689.84	1484.377	1024	224	20.77	38.69	115.09
548	gluon_senet154	689.77	1484.531	1024	224	20.77	38.69	115.09
549	crossvit_base_240	684.4	748.083	512	240	21.22	36.33	105.03
550	twins_pcpvt_large	680.47	1504.817	1024	224	9.84	35.82	60.99
551	resnext101_64x4d	666.45	768.234	512	288	25.66	51.59	83.46
552	swin_s3_small_224	656.61	779.751	512	224	9.43	37.84	49.74
553	convit_base	655.73	1561.612	1024	224	17.52	31.77	86.54
554	repvgg_b3g4	646.31	1584.364	1024	224	17.89	15.1	83.83
555	poolformer_m48	642.41	1593.977	1024	224	11.59	29.17	73.47
556	tresnet_l	639.72	1600.689	1024	224	10.88	11.9	55.99
557	swin_base_patch4_window7_224	639.26	1601.834	1024	224	15.47	36.63	87.77
558	regnetx_160	626.06	817.797	512	224	15.99	25.52	54.28
559	resnetrs152	625.1	1638.117	1024	320	24.34	48.14	86.62
560	xcit_tiny_24_p16_384_dist	621.13	1648.58	1024	384	6.87	34.29	12.12
561	seresnet152d	620.78	1649.515	1024	320	24.09	47.72	66.84
562	coat_mini	608.71	1682.243	1024	224	6.82	33.68	10.34
563	ese_vovnet99b_iabn	608.1	1683.926	1024	224	16.49	11.27	63.2
564	vit_small_patch16_384	607.86	842.292	512	384	15.52	50.78	22.2
565	regnetz_e8	602.95	849.151	512	320	15.46	63.94	57.7
566	xcit_small_12_p16_384_dist	602.09	1700.725	1024	384	14.14	36.51	26.25
567	volo_d2_224	597.09	1714.97	1024	224	14.34	41.34	58.68
568	regnetz_c16_evos	580.2	882.442	512	320	3.86	25.88	13.49
569	convmixer_768_32	576.37	1776.613	1024	224	19.55	25.95	21.11
570	resnest101e	575.52	889.616	512	256	13.38	28.66	48.28
571	cspdarknet53_iabn	573.47	1785.619	1024	256	6.53	16.81	27.64
572	seresnext101_32x8d	572.07	894.988	512	288	27.24	51.63	93.57
573	vit_base_r50_s16_224	569.41	1798.351	1024	224	21.66	35.29	98.66
574	vit_small_r26_s32_384	560.76	913.03	512	384	10.43	29.85	36.47
575	seresnet269d	554.23	1847.585	1024	256	26.59	53.6	113.67
576	swin_v2_cr_base_224	538.29	1902.296	1024	224	15.86	64.42	87.88
577	regnety_080	536.66	954.035	512	288	13.22	29.69	39.18
578	swin_s3_base_224	533.85	1918.136	1024	224	13.69	48.26	71.13
579	nest_base	530.0	966.015	512	224	17.96	53.39	67.72
580	resnet200d	526.88	1943.493	1024	320	31.25	67.33	64.69
581	jx_nest_base	525.35	974.569	512	224	17.96	53.39	67.72
582	tnt_s_patch16_224	505.53	2025.583	1024	224	5.24	24.37	23.76
583	mixnet_xxl	492.29	780.014	384	224	2.04	23.43	23.96
584	convnext_large	490.59	1043.624	512	224	34.4	43.13	197.77
585	eca_nfnet_l1	490.41	2088.053	1024	320	14.92	34.42	41.41
586	convnext_large_in22ft1k	490.13	1044.606	512	224	34.4	43.13	197.77
587	efficientnetv2_m	477.19	2145.885	1024	416	18.6	67.5	54.14
588	regnety_064	472.22	1084.235	512	288	10.56	27.11	30.58
589	tresnet_xl	472.15	2168.776	1024	224	15.17	15.34	78.44
590	regnetv_064	468.26	1093.388	512	288	10.55	27.11	30.58
591	efficientnet_b5	463.45	552.358	256	456	10.46	98.86	30.39
592	mixer_l16_224	463.3	2210.217	1024	224	44.6	41.69	208.2
593	xcit_tiny_24_p8_224	462.46	2214.217	1024	224	9.21	45.39	12.11
594	xcit_tiny_24_p8_224_dist	462.21	2215.442	1024	224	9.21	45.39	12.11
595	vit_large_patch32_384	459.15	2230.179	1024	384	45.31	43.86	306.63
596	halonet_h1	457.28	559.821	256	256	3.0	51.17	8.1
597	xcit_small_12_p8_224	455.91	2246.02	1024	224	18.69	47.21	26.21
598	xcit_small_12_p8_224_dist	455.51	2247.996	1024	224	18.69	47.21	26.21
599	resnetrs200	453.26	2259.149	1024	320	31.51	67.81	93.21
600	efficientnet_b3_gn	449.21	427.404	192	320	2.14	28.83	11.73
601	tf_efficientnet_b5_ap	441.14	580.297	256	456	10.46	98.86	30.39
602	tf_efficientnet_b5_ns	441.05	580.416	256	456	10.46	98.86	30.39
603	tf_efficientnet_b5	440.89	580.636	256	456	10.46	98.86	30.39
604	xcit_large_24_p16_224	417.51	2452.617	1024	224	35.86	47.27	189.1
605	xcit_nano_12_p8_384_dist	417.42	2453.137	1024	384	6.34	46.08	3.05
606	xcit_large_24_p16_224_dist	417.4	2453.255	1024	224	35.86	47.27	189.1
607	volo_d3_224	417.39	2453.347	1024	224	20.78	60.09	86.33
608	regnety_320	414.44	1235.374	512	224	32.34	30.26	145.05
609	regnety_160	414.17	927.145	384	288	26.37	38.07	83.59
610	tnt_b_patch16_224	396.88	2580.105	1024	224	14.09	39.01	65.41
611	swin_large_patch4_window7_224	396.25	1292.106	512	224	34.53	54.94	196.53
612	efficientnetv2_rw_m	389.13	1315.733	512	416	21.49	79.62	53.24
613	efficientnet_b3_g8_gn	378.11	507.779	192	320	3.2	28.83	14.25
614	regnetz_d8_evos	373.7	1370.081	512	320	7.03	38.92	23.46
615	tf_efficientnetv2_m	353.46	1448.525	512	480	24.76	89.84	54.14
616	tf_efficientnetv2_m_in21ft1k	352.72	1451.565	512	480	24.76	89.84	54.14
617	ssl_resnext101_32x16d	347.36	1473.959	512	224	36.27	51.18	194.03
618	swsl_resnext101_32x16d	347.19	1474.669	512	224	36.27	51.18	194.03
619	ig_resnext101_32x16d	347.17	1474.756	512	224	36.27	51.18	194.03
620	vit_large_patch16_224	339.67	3014.653	1024	224	61.6	63.52	304.33
621	swin_v2_cr_large_224	336.96	1519.449	512	224	35.1	85.57	196.68
622	convnext_xlarge_in22ft1k	334.18	1532.115	512	224	60.97	57.5	350.2
623	vit_base_patch16_18x2_224	321.9	3181.054	1024	224	52.51	71.38	256.73
624	tresnet_m_448	321.34	3186.673	1024	448	22.94	29.21	31.39
625	xcit_small_24_p16_384_dist	319.79	3202.041	1024	384	26.72	68.58	47.67
626	crossvit_15_dagger_408	313.07	817.69	256	408	21.45	95.05	28.5
627	beit_large_patch16_224	311.42	3288.141	1024	224	61.6	63.52	304.43
628	pnasnet5large	298.92	1284.602	384	331	25.04	92.89	86.06
629	xcit_tiny_12_p8_384_dist	295.94	3460.2	1024	384	14.13	69.14	6.71
630	ecaresnet269d	292.16	3504.88	1024	352	50.25	101.25	102.09
631	nasnetalarge	292.11	1314.567	384	331	23.89	90.56	88.75
632	nfnet_f1	287.25	3564.832	1024	320	35.97	46.77	132.63
633	swin_v2_cr_tiny_384	285.61	896.314	256	384	15.36	179.92	28.33
634	resnetrs270	285.53	3586.279	1024	352	51.13	105.48	129.86
635	convnext_small_384_in22ft1k	283.44	1354.767	384	384	45.2	84.49	88.59
636	convnext_tiny_384_in22ft1k	283.35	1355.207	384	384	45.2	84.49	88.59
637	convnext_base_384_in22ft1k	283.27	1355.587	384	384	45.2	84.49	88.59
638	volo_d4_224	276.66	3701.277	1024	224	44.34	80.22	192.96
639	resnetv2_152x2_bit_teacher	275.55	1858.104	512	224	46.95	45.11	236.34
640	volo_d1_384	274.17	1400.584	384	384	22.75	108.55	26.78
641	efficientnet_b6	265.63	481.865	128	528	19.4	167.39	43.04
642	regnetx_320	263.46	1457.527	384	224	31.81	36.3	107.81
643	deit_base_patch16_384	263.34	1458.17	384	384	55.54	101.56	86.86
644	vit_base_patch16_384	262.84	1460.977	384	384	55.54	101.56	86.86
645	dm_nfnet_f1	261.73	3912.436	1024	320	35.97	46.77	132.63
646	deit_base_distilled_patch16_384	259.59	1479.254	384	384	55.65	101.82	87.63
647	tf_efficientnet_b6	254.04	503.851	128	528	19.4	167.39	43.04
648	tf_efficientnet_b6_ap	253.95	504.02	128	528	19.4	167.39	43.04
649	tf_efficientnet_b6_ns	253.88	504.17	128	528	19.4	167.39	43.04
650	vit_large_patch14_224	249.95	4096.733	1024	224	81.08	88.79	304.2
651	cait_xxs24_384	247.45	4138.198	1024	384	9.63	122.66	12.03
652	xcit_small_24_p8_224	239.07	4283.263	1024	224	35.81	90.78	47.63
653	xcit_small_24_p8_224_dist	239.0	4284.476	1024	224	35.81	90.78	47.63
654	xcit_medium_24_p16_384_dist	238.18	2149.659	512	384	47.39	91.64	84.4
655	eca_nfnet_l2	234.53	2183.088	512	384	30.05	68.28	56.72
656	crossvit_18_dagger_408	234.0	820.485	192	408	32.47	124.87	44.61
657	vit_large_r50_s32_384	229.73	1671.515	384	384	57.43	76.52	329.09
658	beit_base_patch16_384	226.15	1697.971	384	384	55.54	101.56	86.74
659	resmlp_big_24_224	204.41	5009.412	1024	224	100.23	87.31	129.14
660	resmlp_big_24_224_in22ft1k	204.19	5014.99	1024	224	100.23	87.31	129.14
661	resmlp_big_24_distilled_224	204.14	5016.18	1024	224	100.23	87.31	129.14
662	resnest200e	198.33	2581.599	512	320	35.69	82.78	70.2
663	resnetrs350	188.33	2718.619	512	384	77.59	154.74	163.96
664	efficientnetv2_l	185.45	2760.873	512	480	56.4	157.99	118.52
665	volo_d5_224	183.53	5579.332	1024	224	72.4	118.11	295.46
666	tf_efficientnetv2_l	183.5	2790.123	512	480	56.4	157.99	118.52
667	tf_efficientnetv2_l_in21ft1k	183.34	2792.665	512	480	56.4	157.99	118.52
668	swin_v2_cr_small_384	182.55	1402.341	256	384	29.73	328.89	49.7
669	swin_base_patch4_window12_384	176.96	1085.005	192	384	47.19	134.78	87.9
670	xcit_medium_24_p8_224_dist	176.61	5798.18	1024	224	63.53	121.23	84.32
671	xcit_medium_24_p8_224	176.56	5799.802	1024	224	63.53	121.23	84.32
672	cait_xs24_384	175.88	2911.134	512	384	19.28	183.98	26.67
673	vit_base_patch8_224	173.92	1471.961	256	224	78.22	161.69	86.58
674	convnext_large_384_in22ft1k	167.45	1528.836	256	384	101.09	126.74	197.77
675	cait_xxs36_384	165.77	6177.386	1024	384	14.35	183.7	17.37
676	vit_base_resnet50_384	164.81	2329.882	384	384	67.43	135.03	98.95
677	vit_base_r50_s16_384	164.76	2330.691	384	384	67.43	135.03	98.95
678	densenet264d_iabn	164.43	6227.497	1024	224	13.47	14.0	72.74
679	nfnet_f2	161.44	6342.864	1024	352	63.22	79.06	193.78
680	efficientnet_b7	159.81	600.7	96	600	38.33	289.94	66.35
681	swin_v2_cr_huge_224	158.24	2426.623	384	224	115.98	130.61	657.83
682	volo_d2_384	157.29	1627.556	256	384	46.17	184.51	58.87
683	xcit_tiny_24_p8_384_dist	155.86	6569.908	1024	384	27.05	132.95	12.11
684	xcit_small_12_p8_384_dist	155.07	3301.621	512	384	54.92	138.29	26.21
685	tf_efficientnet_b7	154.05	623.167	96	600	38.33	289.94	66.35
686	tf_efficientnet_b7_ap	154.01	623.324	96	600	38.33	289.94	66.35
687	tf_efficientnet_b7_ns	153.96	623.512	96	600	38.33	289.94	66.35
688	tresnet_l_448	152.46	6716.506	1024	448	43.5	47.56	55.99
689	dm_nfnet_f2	147.56	3469.794	512	352	63.22	79.06	193.78
690	xcit_large_24_p16_384_dist	142.96	3581.333	512	384	105.35	137.17	189.1
691	efficientnetv2_xl	140.5	2733.05	384	512	93.85	247.32	208.12
692	tf_efficientnetv2_xl_in21ft1k	139.84	2745.956	384	512	93.85	247.32	208.12
693	swin_v2_cr_base_384	136.74	1404.102	192	384	50.61	374.82	87.88
694	vit_huge_patch14_224	136.63	7494.593	1024	224	167.4	139.41	632.05
695	cait_s24_384	136.25	3757.768	512	384	32.17	245.31	47.06
696	resnetrs420	133.09	3846.971	512	416	108.45	213.79	191.89
697	eca_nfnet_l3	123.63	4141.303	512	448	52.55	118.4	72.04
698	convnext_xlarge_384_in22ft1k	114.1	1682.671	192	384	179.18	168.99	350.2
699	tresnet_xl_448	113.35	9034.224	1024	448	60.65	61.31	78.44
700	swin_large_patch4_window12_384	111.26	1150.4	128	384	104.08	202.16	196.74
701	efficientnet_cc_b0_4e	107.9	9.259	1	224	0.41	9.42	13.31
702	xcit_large_24_p8_224	106.51	4807.053	512	224	141.23	181.56	188.93
703	xcit_large_24_p8_224_dist	106.39	4812.62	512	224	141.23	181.56	188.93
704	tf_efficientnet_cc_b0_4e	105.13	9.503	1	224	0.41	9.42	13.31
705	tf_efficientnet_cc_b0_8e	101.03	9.888	1	224	0.42	9.42	24.01
706	efficientnet_cc_b0_8e	100.58	9.933	1	224	0.42	9.42	24.01
707	efficientnet_b8	97.89	980.672	96	672	63.48	442.89	87.41
708	resnetv2_152x2_bit_teacher_384	95.58	2678.506	256	384	136.16	132.56	236.34
709	tf_efficientnet_b8	94.94	1011.165	96	672	63.48	442.89	87.41
710	tf_efficientnet_b8_ap	94.88	1011.773	96	672	63.48	442.89	87.41
711	resnest269e	92.66	4144.14	384	416	77.69	171.98	110.93
712	resnetv2_50x3_bitm	91.89	1392.952	128	448	145.7	133.37	217.32
713	cait_s36_384	91.13	5618.401	512	384	47.99	367.4	68.37
714	vit_large_patch16_384	91.02	2812.461	256	384	191.21	270.24	304.72
715	vit_giant_patch14_224	90.41	5663.146	512	224	267.18	192.64	1012.61
716	swin_v2_cr_large_384	87.0	1471.203	128	384	109.02	466.67	196.68
717	nfnet_f3	83.54	6128.872	512	416	115.58	141.78	254.92
718	convmixer_1024_20_ks9_p14	82.81	12365.256	1024	224	5.55	5.51	24.38
719	xcit_small_24_p8_384_dist	81.31	6296.644	512	384	105.24	265.91	47.63
720	beit_large_patch16_384	78.92	3243.632	256	384	191.21	270.24	305.0
721	dm_nfnet_f3	76.98	6650.815	512	416	115.58	141.78	254.92
722	efficientnet_cc_b1_8e	74.31	13.446	1	240	0.75	15.44	39.72
723	tf_efficientnet_cc_b1_8e	71.55	13.966	1	240	0.75	15.44	39.72
724	resnetv2_152x2_bitm	70.29	2731.662	192	448	184.99	180.43	236.34
725	volo_d3_448	69.5	2762.392	192	448	96.33	446.83	86.63
726	xcit_medium_24_p8_384_dist	60.36	4241.495	256	384	186.67	354.73	84.32
727	resnetv2_101x3_bitm	56.99	2245.848	128	448	280.33	194.78	387.93
728	vit_gigantic_patch14_224	54.97	6985.565	384	224	483.95	275.37	1844.44
729	volo_d4_448	52.04	3689.433	192	448	197.13	527.35	193.41
730	swin_v2_cr_giant_224	47.35	2703.077	128	224	483.88	342.95	2598.76
731	nfnet_f4	45.03	8527.847	384	512	216.26	262.26	316.07
732	dm_nfnet_f4	41.28	9302.917	384	512	216.26	262.26	316.07
733	swin_v2_cr_huge_384	40.59	1576.755	64	384	352.16	696.31	657.94
734	xcit_large_24_p8_384_dist	36.24	5297.999	192	384	415.0	531.82	188.93
735	volo_d5_448	36.04	3551.639	128	448	315.06	737.92	295.91
736	nfnet_f5	33.24	11553.271	384	544	290.97	349.71	377.21
737	beit_large_patch16_512	32.09	2991.564	96	512	362.24	656.39	305.67
738	dm_nfnet_f5	31.46	8137.719	256	544	290.97	349.71	377.21
739	cait_m36_384	30.85	8298.098	256	384	173.11	734.81	271.22
740	nfnet_f6	25.52	10030.043	256	576	378.69	452.2	438.36
741	volo_d5_512	25.24	5072.088	128	512	425.09	1105.37	296.09
742	dm_nfnet_f6	23.36	10959.027	256	576	378.69	452.2	438.36
743	nfnet_f7	20.08	9559.462	192	608	480.39	570.85	499.5
744	resnetv2_152x4_bitm	18.1	3536.743	64	480	844.84	414.26	936.53
745	convmixer_1536_20	13.52	75763.376	1024	224	48.68	33.03	51.63
746	cait_m48_448	13.31	9617.788	128	448	329.41	1708.23	356.46
747	swin_v2_cr_giant_384	13.19	2426.875	32	384	1451.0	1686.82	2598.76