pytorch-image-models/results/benchmark-infer-amp-nhwc-pt111-cu113-rtx3090.csv

1	model	infer_samples_per_sec	infer_step_time	infer_batch_size	infer_img_size	param_count
2	tinynet_e	68298.73	14.982	1024	106	2.04
3	mobilenetv3_small_050	48773.32	20.985	1024	224	1.59
4	lcnet_035	47045.94	21.755	1024	224	1.64
5	lcnet_050	41541.83	24.639	1024	224	1.88
6	mobilenetv3_small_075	37803.23	27.076	1024	224	2.04
7	mobilenetv3_small_100	34839.31	29.381	1024	224	2.54
8	tinynet_d	34615.54	29.571	1024	152	2.34
9	tf_mobilenetv3_small_minimal_100	31097.5	32.918	1024	224	2.04
10	tf_mobilenetv3_small_075	30498.6	33.564	1024	224	2.04
11	tf_mobilenetv3_small_100	28466.28	35.962	1024	224	2.54
12	lcnet_075	26999.4	37.915	1024	224	2.36
13	mnasnet_small	23228.74	44.072	1024	224	2.03
14	lcnet_100	22774.77	44.951	1024	224	2.95
15	levit_128s	21485.8	47.648	1024	224	7.78
16	mobilenetv2_035	20032.08	51.106	1024	224	1.68
17	ghostnet_050	18639.82	54.925	1024	224	2.59
18	mnasnet_050	18244.9	56.115	1024	224	2.22
19	regnetx_002	17821.98	57.446	1024	224	2.68
20	tinynet_c	17586.87	58.214	1024	184	2.46
21	regnety_002	16673.08	61.405	1024	224	3.16
22	mobilenetv2_050	16415.14	62.371	1024	224	1.97
23	semnasnet_050	16295.23	62.83	1024	224	2.08
24	lcnet_150	15040.68	68.071	1024	224	4.5
25	levit_128	14657.83	69.849	1024	224	9.21
26	regnetx_004	14440.03	70.903	1024	224	5.16
27	gernet_s	14051.59	72.863	1024	224	8.17
28	mobilenetv3_large_075	13658.47	74.961	1024	224	3.99
29	levit_192	12892.86	79.412	1024	224	10.95
30	mnasnet_075	12457.54	82.188	1024	224	3.17
31	mobilenetv3_rw	12442.0	82.291	1024	224	5.48
32	hardcorenas_a	12441.72	82.293	1024	224	5.26
33	mixer_s32_224	12325.03	83.072	1024	224	19.1
34	mobilenetv3_large_100	12253.83	83.554	1024	224	5.48
35	mobilenetv3_large_100_miil	12253.15	83.559	1024	224	5.48
36	vit_small_patch32_224	12098.59	84.625	1024	224	22.88
37	tf_mobilenetv3_large_075	11757.16	87.085	1024	224	3.99
38	tinynet_b	11714.84	87.399	1024	188	3.73
39	hardcorenas_b	11307.89	90.545	1024	224	5.18
40	hardcorenas_c	11295.65	90.643	1024	224	5.52
41	ese_vovnet19b_slim_dw	11295.18	90.646	1024	224	1.9
42	tf_mobilenetv3_large_minimal_100	11279.9	90.77	1024	224	3.92
43	mnasnet_b1	10903.65	93.902	1024	224	4.38
44	mnasnet_100	10903.28	93.906	1024	224	4.38
45	swsl_resnet18	10835.46	94.49	1024	224	11.69
46	ssl_resnet18	10829.31	94.547	1024	224	11.69
47	resnet18	10826.05	94.576	1024	224	11.69
48	gluon_resnet18_v1b	10791.4	94.879	1024	224	11.69
49	tf_mobilenetv3_large_100	10638.58	96.242	1024	224	5.48
50	hardcorenas_d	10551.44	97.037	1024	224	7.5
51	semnasnet_075	10519.79	97.329	1024	224	2.91
52	ghostnet_100	10434.77	98.122	1024	224	5.18
53	mobilenetv2_075	10372.86	98.708	1024	224	2.64
54	seresnet18	10183.7	100.541	1024	224	11.78
55	regnety_006	9982.58	102.567	1024	224	6.06
56	vit_tiny_r_s16_p8_224	9895.77	103.465	1024	224	6.34
57	spnasnet_100	9875.93	103.675	1024	224	4.42
58	legacy_seresnet18	9845.25	103.999	1024	224	11.78
59	regnety_004	9552.58	107.183	1024	224	4.34
60	levit_256	9434.24	108.53	1024	224	18.89
61	tinynet_a	9412.38	108.782	1024	192	6.19
62	hardcorenas_f	9390.96	109.029	1024	224	8.2
63	semnasnet_100	9334.36	109.69	1024	224	3.89
64	mnasnet_a1	9318.68	109.875	1024	224	3.89
65	mobilenetv2_100	9260.72	110.564	1024	224	3.5
66	hardcorenas_e	9255.53	110.624	1024	224	8.07
67	tf_efficientnetv2_b0	9250.71	110.683	1024	224	7.14
68	fbnetc_100	9032.97	113.35	1024	224	5.57
69	efficientnet_lite0	8999.14	113.778	1024	224	4.65
70	resnet18d	8913.81	114.867	1024	224	11.71
71	ese_vovnet19b_slim	8715.26	117.484	1024	224	3.17
72	regnetx_008	8458.52	121.05	1024	224	7.26
73	levit_256d	8024.27	127.602	1024	224	26.21
74	regnetx_006	7937.85	128.991	1024	224	6.2
75	regnety_008	7871.11	130.085	1024	224	6.26
76	tf_efficientnet_lite0	7813.92	131.036	1024	224	4.65
77	efficientnet_b0	7681.79	133.291	1024	224	5.29
78	ghostnet_130	7655.04	133.756	1024	224	7.36
79	mnasnet_140	7500.9	136.506	1024	224	7.12
80	xcit_nano_12_p16_224_dist	7406.15	138.252	1024	224	3.05
81	xcit_nano_12_p16_224	7390.69	138.541	1024	224	3.05
82	rexnetr_100	7266.82	140.903	1024	224	4.88
83	mobilenetv2_110d	7027.38	145.704	1024	224	4.52
84	tf_efficientnet_b0_ap	6815.39	150.235	1024	224	5.29
85	tf_efficientnet_b0	6815.06	150.243	1024	224	5.29
86	tf_efficientnet_b0_ns	6813.82	150.27	1024	224	5.29
87	regnetz_005	6657.81	153.793	1024	224	7.12
88	hrnet_w18_small	6626.19	154.526	1024	224	13.19
89	gernet_m	6452.0	158.699	1024	224	21.14
90	semnasnet_140	6407.4	159.804	1024	224	6.11
91	tv_resnet34	6289.18	162.807	1024	224	21.8
92	gluon_resnet34_v1b	6283.02	162.967	1024	224	21.8
93	resnet34	6262.0	163.515	1024	224	21.8
94	vit_tiny_patch16_224	6224.71	164.493	1024	224	5.72
95	mobilenetv2_140	6223.01	164.539	1024	224	6.11
96	deit_tiny_patch16_224	6218.5	164.657	1024	224	5.72
97	ese_vovnet19b_dw	6178.2	165.733	1024	224	6.54
98	deit_tiny_distilled_patch16_224	6117.9	167.365	1024	224	5.91
99	efficientnet_b1_pruned	6023.92	169.977	1024	240	6.33
100	efficientnet_lite1	5983.27	171.132	1024	240	5.42
101	tf_efficientnetv2_b1	5921.06	172.93	1024	240	8.14
102	selecsls42	5908.85	173.287	1024	224	30.35
103	fbnetv3_b	5903.05	173.458	1024	256	8.6
104	seresnet34	5898.43	173.594	1024	224	21.96
105	selecsls42b	5885.09	173.988	1024	224	32.46
106	rexnet_100	5871.63	174.387	1024	224	4.8
107	pit_ti_distilled_224	5837.73	175.397	1024	224	5.1
108	pit_ti_224	5807.14	176.321	1024	224	4.85
109	efficientnet_es	5711.75	179.268	1024	224	5.44
110	efficientnet_es_pruned	5710.76	179.298	1024	224	5.44
111	resnet26	5694.28	179.817	1024	224	16.0
112	legacy_seresnet34	5670.37	180.577	1024	224	21.96
113	levit_384	5643.3	181.443	1024	224	39.13
114	resnet34d	5571.88	183.768	1024	224	21.82
115	resnetblur18	5507.37	185.919	1024	224	11.69
116	rexnetr_130	5484.64	186.691	1024	224	7.61
117	nf_regnet_b0	5429.0	188.605	1024	256	8.76
118	tf_efficientnet_es	5424.57	188.76	1024	224	5.44
119	tf_efficientnet_lite1	5360.34	191.021	1024	240	5.42
120	skresnet18	5350.54	191.371	1024	224	11.96
121	selecsls60	5263.66	194.53	1024	224	30.67
122	selecsls60b	5251.8	194.969	1024	224	32.77
123	mobilenetv2_120d	5160.96	198.401	1024	224	5.83
124	mobilevit_xxs	5125.56	199.771	1024	256	1.27
125	repvgg_b0	5049.08	202.797	1024	224	15.82
126	resnet26d	4891.07	209.349	1024	224	16.01
127	fbnetv3_d	4812.34	212.774	1024	256	10.31
128	rexnetr_150	4791.0	213.722	1024	224	9.78
129	xcit_tiny_12_p16_224_dist	4778.77	214.269	1024	224	6.72
130	xcit_tiny_12_p16_224	4774.3	214.469	1024	224	6.72
131	visformer_tiny	4714.23	217.203	1024	224	10.32
132	nf_resnet26	4639.54	220.7	1024	224	16.0
133	efficientnet_lite2	4604.04	222.402	1024	260	6.09
134	pit_xs_224	4582.73	223.434	1024	224	10.62
135	pit_xs_distilled_224	4539.81	225.546	1024	224	11.0
136	resmlp_12_distilled_224	4519.92	226.541	1024	224	15.35
137	resmlp_12_224	4518.97	226.589	1024	224	15.35
138	tf_efficientnetv2_b2	4403.08	232.553	1024	260	10.1
139	vit_base_patch32_224_sam	4330.12	236.472	1024	224	88.22
140	vit_base_patch32_224	4316.0	237.246	1024	224	88.22
141	mixer_b32_224	4294.72	238.421	1024	224	60.29
142	tf_efficientnet_b1_ns	4267.56	239.936	1024	240	7.79
143	tf_efficientnet_b1_ap	4266.36	240.004	1024	240	7.79
144	tf_efficientnet_b1	4266.12	240.017	1024	240	7.79
145	efficientnet_b0_g16_evos	4260.91	240.312	1024	224	8.11
146	legacy_seresnext26_32x4d	4210.62	243.183	1024	224	16.79
147	mixer_s16_224	4210.38	243.197	1024	224	18.53
148	gernet_l	4176.68	245.159	1024	256	31.08
149	tf_efficientnet_lite2	4154.51	246.467	1024	260	6.09
150	gmixer_12_224	4127.0	248.109	1024	224	12.7
151	efficientnet_b1	4101.97	249.625	1024	256	7.79
152	resnext26ts	4091.38	250.27	1024	256	10.3
153	rexnet_130	4013.83	255.106	1024	224	7.56
154	seresnext26ts	3966.87	258.123	1024	256	10.39
155	nf_seresnet26	3954.94	258.905	1024	224	17.4
156	eca_resnext26ts	3953.54	258.996	1024	256	10.3
157	nf_ecaresnet26	3938.91	259.956	1024	224	16.0
158	repvgg_a2	3868.66	264.68	1024	224	28.21
159	gmlp_ti16_224	3865.39	264.903	1024	224	5.87
160	crossvit_tiny_240	3854.54	265.648	1024	240	7.01
161	efficientnet_b2_pruned	3821.39	267.953	1024	260	8.31
162	vit_small_patch32_384	3802.4	269.289	1024	384	22.92
163	resnet26t	3789.73	270.19	1024	256	16.01
164	regnetx_016	3776.49	271.139	1024	224	9.19
165	rexnet_150	3774.39	271.29	1024	224	9.73
166	seresnext26t_32x4d	3769.71	271.627	1024	224	16.81
167	seresnext26tn_32x4d	3769.68	271.629	1024	224	16.81
168	gcresnext26ts	3763.59	272.069	1024	256	10.48
169	seresnext26d_32x4d	3760.94	272.26	1024	224	16.81
170	ecaresnext50t_32x4d	3751.71	272.931	1024	224	15.41
171	ecaresnext26t_32x4d	3745.62	273.373	1024	224	15.41
172	ecaresnet50d_pruned	3714.28	275.68	1024	224	19.94
173	resnetv2_50	3703.17	276.505	1024	224	25.55
174	eca_botnext26ts_256	3685.99	277.797	1024	256	10.59
175	crossvit_9_240	3640.93	281.235	1024	240	8.55
176	ecaresnetlight	3588.5	285.344	1024	224	30.16
177	eca_halonext26ts	3573.18	286.568	1024	256	10.76
178	crossvit_9_dagger_240	3562.28	287.444	1024	240	8.78
179	poolformer_s12	3555.09	288.026	1024	224	11.92
180	swsl_resnet50	3536.6	289.53	1024	224	25.56
181	gluon_resnet50_v1b	3534.52	289.702	1024	224	25.56
182	tv_resnet50	3534.18	289.73	1024	224	25.56
183	resnet50	3528.73	290.177	1024	224	25.56
184	ssl_resnet50	3522.22	290.713	1024	224	25.56
185	rexnetr_200	3521.98	145.362	512	224	16.52
186	dla46_c	3494.33	293.033	1024	224	1.3
187	botnet26t_256	3447.34	297.026	1024	256	12.49
188	efficientnet_em	3434.61	298.129	1024	240	6.9
189	dpn68	3423.83	299.067	1024	224	12.61
190	resnet32ts	3414.56	299.879	1024	256	17.96
191	dpn68b	3412.63	300.049	1024	224	12.61
192	regnety_016	3408.85	300.382	1024	224	11.2
193	halonet26t	3379.19	303.017	1024	256	12.48
194	resnetv2_50t	3374.73	303.416	1024	224	25.57
195	resnetv2_50d	3370.34	303.812	1024	224	25.57
196	resnet33ts	3369.92	303.852	1024	256	19.68
197	nf_regnet_b1	3357.92	304.938	1024	288	10.22
198	gluon_resnet50_v1c	3339.61	306.611	1024	224	25.58
199	nf_regnet_b2	3329.81	307.512	1024	272	14.31
200	tf_efficientnet_b2_ap	3315.4	308.848	1024	260	9.11
201	tf_efficientnet_b2_ns	3314.91	308.894	1024	260	9.11
202	tf_efficientnet_em	3313.67	309.011	1024	240	6.9
203	tf_efficientnet_b2	3313.08	309.063	1024	260	9.11
204	seresnet33ts	3285.4	311.671	1024	256	19.78
205	eca_resnet33ts	3264.82	313.634	1024	256	19.68
206	resnet50t	3209.81	319.009	1024	224	25.57
207	bat_resnext26ts	3208.41	319.147	1024	256	10.73
208	legacy_seresnet50	3208.39	319.15	1024	224	28.09
209	gluon_resnet50_v1d	3207.43	319.246	1024	224	25.58
210	convnext_nano_hnf	3203.44	319.644	1024	224	15.59
211	resnet50d	3201.53	319.835	1024	224	25.58
212	convit_tiny	3182.1	321.788	1024	224	5.71
213	gcresnet33ts	3115.24	328.694	1024	256	19.88
214	vit_small_resnet26d_224	3114.54	328.764	1024	224	63.61
215	efficientnet_b2	3113.3	328.898	1024	288	9.11
216	efficientnet_b2a	3112.75	328.957	1024	288	9.11
217	efficientnet_b3_pruned	3098.33	330.489	1024	300	9.86
218	mobilevit_xs	3098.23	165.245	512	256	2.32
219	vovnet39a	3094.91	330.85	1024	224	22.6
220	seresnet50	3084.99	331.918	1024	224	28.09
221	haloregnetz_b	3050.82	335.635	1024	224	11.68
222	skresnet34	3016.36	339.47	1024	224	22.28
223	ese_vovnet39b	2991.04	342.343	1024	224	24.57
224	eca_vovnet39b	2984.95	343.042	1024	224	22.6
225	cspresnext50	2981.83	343.401	1024	224	20.57
226	selecsls84	2979.47	343.673	1024	224	50.95
227	res2net50_48w_2s	2961.27	345.783	1024	224	25.29
228	ssl_resnext50_32x4d	2883.39	355.125	1024	224	25.03
229	resnext50_32x4d	2879.89	355.557	1024	224	25.03
230	swsl_resnext50_32x4d	2879.83	355.563	1024	224	25.03
231	tv_resnext50_32x4d	2876.25	356.006	1024	224	25.03
232	gluon_resnext50_32x4d	2870.17	356.762	1024	224	25.03
233	resnetaa50d	2869.21	356.878	1024	224	25.58
234	tv_densenet121	2861.74	357.812	1024	224	7.98
235	densenet121	2859.4	358.103	1024	224	7.98
236	mixnet_s	2849.57	359.34	1024	224	4.13
237	seresnet50t	2844.85	359.936	1024	224	28.1
238	resnetrs50	2844.33	360.0	1024	224	35.69
239	deit_small_patch16_224	2839.86	360.568	1024	224	22.05
240	vit_small_patch16_224	2838.21	360.777	1024	224	22.05
241	ecaresnet101d_pruned	2833.47	361.381	1024	224	24.88
242	coat_lite_tiny	2832.3	361.531	1024	224	5.72
243	gluon_resnet50_v1s	2824.57	362.521	1024	224	25.68
244	pit_s_224	2821.07	362.969	1024	224	23.46
245	ecaresnet50d	2815.88	363.64	1024	224	25.58
246	rexnet_200	2812.74	182.018	512	224	16.37
247	pit_s_distilled_224	2802.25	365.406	1024	224	24.04
248	deit_small_distilled_patch16_224	2791.58	366.805	1024	224	22.44
249	dla34	2790.34	366.966	1024	224	15.74
250	dla46x_c	2773.06	369.253	1024	224	1.07
251	cspresnet50	2754.0	371.811	1024	256	21.62
252	hrnet_w18_small_v2	2736.24	374.217	1024	224	15.6
253	densenet121d	2731.76	374.837	1024	224	8.0
254	tf_mixnet_s	2728.68	375.26	1024	224	4.13
255	efficientnet_lite3	2718.45	188.332	512	300	8.2
256	regnetz_b16	2715.55	377.076	1024	288	9.72
257	dla60x_c	2712.17	377.543	1024	224	1.32
258	vit_tiny_r_s16_p8_384	2700.75	189.562	512	384	6.36
259	coat_lite_mini	2663.5	384.444	1024	224	11.01
260	resnext50d_32x4d	2662.22	384.629	1024	224	25.05
261	resnetblur50	2619.08	390.962	1024	224	25.56
262	cspresnet50d	2596.32	394.393	1024	256	21.64
263	vgg11_bn	2593.2	197.428	512	224	132.87
264	vit_base2_patch32_256	2576.99	397.35	1024	256	119.46
265	seresnetaa50d	2576.43	397.436	1024	224	28.11
266	cspresnet50w	2574.64	397.712	1024	256	28.12
267	seresnext50_32x4d	2574.54	397.729	1024	224	27.56
268	lambda_resnet26rpt_256	2573.59	397.876	1024	256	10.99
269	legacy_seresnext50_32x4d	2571.71	398.166	1024	224	27.56
270	xcit_nano_12_p16_384_dist	2569.25	398.547	1024	384	3.05
271	gluon_seresnext50_32x4d	2564.07	399.352	1024	224	27.56
272	xcit_tiny_24_p16_224_dist	2557.0	400.456	1024	224	12.12
273	xcit_tiny_24_p16_224	2556.28	400.571	1024	224	12.12
274	efficientnetv2_rw_t	2545.32	402.294	1024	288	13.65
275	vovnet57a	2538.22	403.418	1024	224	36.64
276	fbnetv3_g	2530.36	404.673	1024	288	16.62
277	gcresnet50t	2514.25	407.265	1024	256	25.9
278	res2net50_26w_4s	2505.47	408.693	1024	224	25.7
279	tf_efficientnetv2_b3	2496.85	410.104	1024	300	14.36
280	twins_svt_small	2488.33	411.508	1024	224	24.06
281	vit_base_resnet26d_224	2472.64	414.118	1024	224	101.4
282	ese_vovnet57b	2446.54	418.537	1024	224	38.61
283	densenetblur121d	2445.52	418.711	1024	224	8.0
284	tf_efficientnet_lite3	2442.63	209.598	512	300	8.2
285	resnetblur50d	2422.6	422.672	1024	224	25.58
286	mobilevit_s	2415.06	211.991	512	256	5.58
287	resnest14d	2409.35	424.998	1024	224	10.61
288	tf_inception_v3	2400.27	426.605	1024	299	23.83
289	gluon_inception_v3	2398.26	426.963	1024	299	23.83
290	nf_seresnet50	2397.62	427.078	1024	224	28.09
291	inception_v3	2397.12	427.166	1024	299	23.83
292	nf_ecaresnet50	2388.81	428.654	1024	224	25.56
293	adv_inception_v3	2388.59	428.689	1024	299	23.83
294	densenet169	2362.23	433.477	1024	224	14.15
295	sehalonet33ts	2337.63	219.014	512	256	13.69
296	resmlp_24_224	2312.09	442.876	1024	224	30.02
297	gc_efficientnetv2_rw_t	2311.11	443.065	1024	288	13.68
298	resmlp_24_distilled_224	2308.78	443.512	1024	224	30.02
299	convnext_tiny	2275.45	450.007	1024	224	28.59
300	gcresnext50ts	2263.71	452.341	1024	256	15.67
301	res2net50_14w_8s	2252.88	454.515	1024	224	25.06
302	semobilevit_s	2250.59	227.485	512	256	5.74
303	darknet53	2248.73	227.672	512	256	41.61
304	resnetv2_101	2235.55	458.038	1024	224	44.54
305	xcit_small_12_p16_224_dist	2216.94	461.885	1024	224	26.25
306	xcit_small_12_p16_224	2212.11	462.891	1024	224	26.25
307	skresnet50	2193.01	466.925	1024	224	25.8
308	resnet101	2170.93	471.673	1024	224	44.55
309	tv_resnet101	2164.75	473.02	1024	224	44.55
310	gluon_resnet101_v1b	2163.02	473.399	1024	224	44.55
311	res2next50	2156.68	474.791	1024	224	24.67
312	ecaresnet26t	2145.15	477.343	1024	320	16.01
313	nf_regnet_b3	2126.07	481.627	1024	320	18.59
314	gmixer_24_224	2110.93	485.081	1024	224	24.72
315	resnetv2_101d	2090.05	489.925	1024	224	44.56
316	gluon_resnet101_v1c	2088.96	490.184	1024	224	44.57
317	dla60	2087.19	490.597	1024	224	22.04
318	convnext_tiny_hnf	2073.34	493.877	1024	224	28.59
319	skresnet50d	2063.75	496.172	1024	224	25.82
320	twins_pcpvt_small	2048.61	499.837	1024	224	24.11
321	gluon_resnet101_v1d	2036.64	502.777	1024	224	44.57
322	vgg13	2019.99	506.92	1024	224	133.05
323	efficientnet_b0_gn	2017.66	253.748	512	224	5.29
324	wide_resnet50_2	2001.07	511.71	1024	224	68.88
325	sebotnet33ts_256	1999.77	192.009	384	256	13.7
326	xcit_nano_12_p8_224	1978.07	517.663	1024	224	3.05
327	xcit_nano_12_p8_224_dist	1977.13	517.91	1024	224	3.05
328	vit_base_resnet50d_224	1950.99	524.848	1024	224	110.97
329	repvgg_b1	1936.11	528.882	1024	224	57.42
330	legacy_seresnet101	1932.53	529.863	1024	224	49.33
331	dla60x	1896.77	539.852	1024	224	17.35
332	resnetaa101d	1893.61	540.751	1024	224	44.57
333	tf_efficientnet_b3_ns	1893.08	270.444	512	300	12.23
334	tf_efficientnet_b3_ap	1892.83	270.481	512	300	12.23
335	tf_efficientnet_b3	1892.52	270.524	512	300	12.23
336	seresnet101	1891.69	541.301	1024	224	49.33
337	gluon_resnet101_v1s	1874.89	546.152	1024	224	44.67
338	resnet51q	1869.52	547.722	1024	288	35.7
339	efficientnet_b3	1853.06	276.288	512	320	12.23
340	efficientnet_b3a	1852.72	276.339	512	320	12.23
341	crossvit_small_240	1844.12	555.265	1024	240	26.86
342	poolformer_s24	1843.54	555.44	1024	224	21.39
343	swin_tiny_patch4_window7_224	1831.44	559.111	1024	224	28.29
344	halonet50ts	1826.61	560.589	1024	256	22.73
345	densenet201	1818.74	563.014	1024	224	20.01
346	gmlp_s16_224	1810.78	565.489	1024	224	19.42
347	ssl_resnext101_32x4d	1796.49	569.986	1024	224	44.18
348	resnext101_32x4d	1794.8	570.526	1024	224	44.18
349	swsl_resnext101_32x4d	1794.2	570.714	1024	224	44.18
350	convnext_tiny_hnfd	1793.87	570.819	1024	224	28.63
351	gluon_resnext101_32x4d	1791.38	571.613	1024	224	44.18
352	cspdarknet53	1782.45	287.233	512	256	27.64
353	nf_resnet101	1778.39	575.79	1024	224	44.55
354	vit_small_r26_s32_224	1778.32	575.808	1024	224	36.43
355	ecaresnet101d	1778.2	575.85	1024	224	44.57
356	regnetz_c16	1772.58	288.833	512	320	13.46
357	res2net50_26w_6s	1761.45	581.325	1024	224	37.05
358	resnest26d	1761.21	581.405	1024	224	17.07
359	dla60_res2net	1720.09	595.302	1024	224	20.85
360	nf_resnet50	1719.27	595.589	1024	288	25.56
361	crossvit_15_240	1700.36	602.213	1024	240	27.53
362	resnetblur101d	1688.41	606.472	1024	224	44.57
363	resnet61q	1677.9	610.274	1024	288	36.85
364	swin_s3_tiny_224	1668.56	613.692	1024	224	28.33
365	xcit_tiny_12_p16_384_dist	1651.99	619.843	1024	384	6.72
366	crossvit_15_dagger_240	1651.71	619.951	1024	240	28.21
367	resnetv2_50d_frn	1650.73	620.316	1024	224	25.59
368	vgg13_bn	1642.03	311.797	512	224	133.05
369	efficientnet_b0_g8_gn	1637.47	312.665	512	224	6.56
370	vgg16	1632.03	627.428	1024	224	138.36
371	cait_xxs24_224	1630.9	627.86	1024	224	11.96
372	repvgg_b1g4	1614.79	634.126	1024	224	39.97
373	regnetx_032	1605.58	637.76	1024	224	15.3
374	seresnext101_32x4d	1600.47	639.797	1024	224	48.96
375	gluon_seresnext101_32x4d	1597.12	641.141	1024	224	48.96
376	legacy_seresnext101_32x4d	1596.46	641.406	1024	224	48.96
377	botnet50ts_256	1594.64	321.062	512	256	22.74
378	res2net101_26w_4s	1591.38	643.454	1024	224	45.21
379	regnetx_040	1586.28	645.521	1024	224	22.12
380	ese_vovnet39b_evos	1584.69	646.169	1024	224	24.58
381	resnetv2_50d_evob	1578.15	648.842	1024	224	25.59
382	resnetv2_50x1_bit_distilled	1562.05	655.535	1024	224	25.55
383	visformer_small	1557.14	657.604	1024	224	40.22
384	xception41p	1555.03	329.24	512	299	26.91
385	resnetv2_152	1552.32	659.642	1024	224	60.19
386	dla102	1552.08	659.747	1024	224	33.27
387	resmlp_36_224	1551.92	659.816	1024	224	44.69
388	dla60_res2next	1551.9	659.821	1024	224	17.03
389	resmlp_36_distilled_224	1551.61	659.949	1024	224	44.69
390	resnest50d_1s4x24d	1548.62	661.22	1024	224	25.68
391	xception	1546.37	331.084	512	299	22.86
392	hrnet_w32	1543.69	663.332	1024	224	41.23
393	halo2botnet50ts_256	1528.74	669.82	1024	256	22.64
394	tv_resnet152	1516.25	675.334	1024	224	60.19
395	coat_lite_small	1515.55	675.647	1024	224	19.84
396	mixer_b16_224	1515.3	675.76	1024	224	59.88
397	mixer_b16_224_miil	1514.28	676.214	1024	224	59.88
398	gluon_resnet152_v1b	1512.22	677.139	1024	224	60.19
399	resnet152	1507.31	679.341	1024	224	60.19
400	efficientnet_el	1505.49	340.076	512	300	10.59
401	efficientnet_el_pruned	1505.01	340.185	512	300	10.59
402	vit_large_patch32_224	1500.0	682.653	1024	224	306.54
403	swin_v2_cr_tiny_224	1497.15	683.946	1024	224	28.33
404	res2net50_26w_8s	1487.1	688.575	1024	224	48.4
405	nf_seresnet101	1486.78	688.723	1024	224	49.33
406	resnetv2_152d	1485.01	689.541	1024	224	60.2
407	nf_ecaresnet101	1477.89	692.868	1024	224	44.55
408	gluon_resnet152_v1c	1474.38	694.516	1024	224	60.21
409	swin_v2_cr_tiny_ns_224	1472.66	695.323	1024	224	28.33
410	tf_efficientnet_el	1464.69	349.551	512	300	10.59
411	vit_tiny_patch16_384	1460.68	701.028	1024	384	5.79
412	vit_base_r26_s32_224	1452.81	704.825	1024	224	101.38
413	gluon_resnet152_v1d	1447.4	707.462	1024	224	60.21
414	hrnet_w18	1432.55	714.792	1024	224	21.3
415	mixnet_m	1431.87	715.134	1024	224	5.01
416	mixer_l32_224	1426.61	717.775	1024	224	206.94
417	dla102x	1416.93	722.674	1024	224	26.31
418	tf_mixnet_m	1413.24	724.561	1024	224	5.01
419	convnext_small	1410.61	725.911	1024	224	50.22
420	twins_pcpvt_base	1405.32	728.645	1024	224	43.83
421	ecaresnet50t	1382.49	740.677	1024	320	25.57
422	nest_tiny	1378.24	371.475	512	224	17.06
423	vit_base_patch32_384	1377.87	743.165	1024	384	88.3
424	convit_small	1368.52	748.238	1024	224	27.78
425	regnety_032	1367.75	748.662	1024	288	19.44
426	vgg19	1367.17	748.977	1024	224	143.67
427	gluon_resnet152_v1s	1363.8	750.829	1024	224	60.32
428	vgg16_bn	1363.24	375.563	512	224	138.37
429	jx_nest_tiny	1354.35	378.027	512	224	17.06
430	ese_vovnet99b	1351.66	757.57	1024	224	63.2
431	xception41	1337.66	382.745	512	299	26.97
432	legacy_seresnet152	1335.99	766.462	1024	224	66.82
433	seresnet152	1317.5	777.213	1024	224	66.82
434	dpn92	1303.11	785.8	1024	224	37.67
435	efficientnet_lite4	1287.19	298.314	384	380	13.01
436	tresnet_m	1283.27	797.947	1024	224	31.39
437	inception_v4	1282.29	798.555	1024	299	42.68
438	densenet161	1276.9	801.927	1024	224	28.68
439	xcit_tiny_12_p8_224_dist	1263.32	810.55	1024	224	6.71
440	xcit_tiny_12_p8_224	1260.86	812.129	1024	224	6.71
441	regnetx_080	1259.62	812.931	1024	224	39.57
442	skresnext50_32x4d	1255.24	815.767	1024	224	27.48
443	vit_small_resnet50d_s16_224	1252.87	817.305	1024	224	57.53
444	twins_svt_base	1249.6	819.445	1024	224	56.07
445	poolformer_s36	1245.02	822.461	1024	224	30.86
446	repvgg_b2	1243.81	823.263	1024	224	89.02
447	volo_d1_224	1232.57	830.769	1024	224	26.63
448	hrnet_w30	1221.32	838.421	1024	224	37.71
449	crossvit_18_240	1205.55	849.387	1024	240	43.27
450	resnest50d	1199.06	853.99	1024	224	27.48
451	tf_efficientnet_lite4	1182.46	324.733	384	380	13.01
452	xcit_small_24_p16_224_dist	1182.35	866.056	1024	224	47.67
453	xcit_small_24_p16_224	1181.92	866.371	1024	224	47.67
454	crossvit_18_dagger_240	1172.17	873.578	1024	240	44.27
455	regnetx_064	1166.56	438.885	512	224	26.21
456	vgg19_bn	1163.98	439.857	512	224	143.68
457	nf_regnet_b4	1158.13	884.17	1024	384	30.21
458	efficientnetv2_s	1149.66	890.683	1024	384	21.46
459	regnetz_d8	1143.01	895.867	1024	320	23.37
460	resnet50_gn	1132.8	903.934	1024	224	25.56
461	dla169	1130.6	905.699	1024	224	53.39
462	wide_resnet101_2	1125.72	909.622	1024	224	126.89
463	swin_small_patch4_window7_224	1123.67	911.288	1024	224	49.61
464	tf_efficientnetv2_s	1123.66	911.292	1024	384	21.46
465	tf_efficientnetv2_s_in21ft1k	1121.7	912.889	1024	384	21.46
466	gluon_resnext101_64x4d	1118.73	915.313	1024	224	83.46
467	mixnet_l	1117.6	458.111	512	224	7.33
468	xception65p	1115.45	458.995	512	299	39.82
469	vit_base_patch16_224_miil	1108.89	923.433	1024	224	86.54
470	nfnet_l0	1101.58	929.561	1024	288	35.07
471	eca_nfnet_l0	1100.75	930.261	1024	288	24.14
472	tf_mixnet_l	1100.74	465.128	512	224	7.33
473	dpn98	1097.38	933.115	1024	224	61.57
474	resnet200	1096.34	934.004	1024	224	64.67
475	resnetrs101	1095.82	934.443	1024	288	63.62
476	cait_xxs36_224	1095.14	935.023	1024	224	17.3
477	efficientnetv2_rw_s	1089.64	939.747	1024	384	23.94
478	vit_base_patch16_224_sam	1073.62	953.767	1024	224	86.57
479	vit_base_patch16_224	1073.46	953.912	1024	224	86.57
480	deit_base_patch16_224	1071.76	955.424	1024	224	86.57
481	inception_resnet_v2	1061.78	964.405	1024	299	55.84
482	ens_adv_inception_resnet_v2	1058.32	967.554	1024	299	55.84
483	deit_base_distilled_patch16_224	1057.89	967.952	1024	224	87.34
484	tnt_s_patch16_224	1053.73	971.773	1024	224	23.76
485	dla102x2	1044.22	490.307	512	224	41.28
486	regnetz_040	1039.59	369.364	384	320	27.12
487	gluon_seresnext101_64x4d	1039.37	985.196	1024	224	88.23
488	regnetz_040h	1034.17	371.302	384	320	28.94
489	resnext101_32x8d	1033.81	990.5	1024	224	88.79
490	ssl_resnext101_32x8d	1033.7	990.597	1024	224	88.79
491	swsl_resnext101_32x8d	1033.38	990.91	1024	224	88.79
492	ig_resnext101_32x8d	1028.15	995.947	1024	224	88.79
493	regnetz_d32	1009.91	1013.934	1024	320	27.58
494	resnest50d_4s2x40d	1008.21	1015.647	1024	224	30.42
495	repvgg_b3	1001.81	1022.132	1024	224	123.09
496	twins_pcpvt_large	999.56	1024.437	1024	224	60.99
497	resnet101d	999.12	1024.886	1024	320	44.57
498	beit_base_patch16_224	993.76	1030.414	1024	224	86.53
499	convnext_base	982.94	1041.763	1024	224	88.59
500	convnext_base_in22ft1k	982.23	1042.511	1024	224	88.59
501	hrnet_w40	980.59	1044.254	1024	224	57.56
502	coat_tiny	977.86	1047.174	1024	224	5.5
503	efficientnet_b4	974.19	394.16	384	384	19.34
504	gluon_xception65	972.42	526.509	512	299	39.92
505	xception65	965.78	530.126	512	299	39.92
506	pit_b_224	946.3	541.042	512	224	73.76
507	regnetz_b16_evos	945.35	541.586	512	288	9.74
508	pit_b_distilled_224	942.16	543.418	512	224	74.79
509	tf_efficientnet_b4	925.87	414.732	384	380	19.34
510	tf_efficientnet_b4_ap	925.37	414.955	384	380	19.34
511	tf_efficientnet_b4_ns	925.29	414.99	384	380	19.34
512	vit_small_patch16_36x1_224	920.52	1112.401	1024	224	64.67
513	swin_v2_cr_small_224	915.78	1118.157	1024	224	49.7
514	vit_small_patch16_18x2_224	899.5	1138.389	1024	224	64.67
515	xcit_tiny_24_p16_384_dist	885.13	1156.874	1024	384	12.12
516	twins_svt_large	884.59	1157.58	1024	224	99.27
517	nest_small	880.02	581.79	512	224	38.35
518	hrnet_w48	878.91	1165.063	1024	224	77.47
519	cait_s24_224	871.81	1174.556	1024	224	46.92
520	jx_nest_small	870.35	588.255	512	224	38.35
521	poolformer_m36	860.43	1190.082	1024	224	56.17
522	regnety_040	849.33	602.817	512	288	20.65
523	regnetv_040	849.16	602.939	512	288	20.64
524	nfnet_f0	843.53	1213.933	1024	256	71.49
525	resnetv2_50d_evos	834.99	1226.346	1024	288	25.59
526	swin_s3_small_224	821.03	623.593	512	224	49.74
527	repvgg_b2g4	812.87	1259.724	1024	224	61.76
528	xcit_medium_24_p16_224_dist	811.19	1262.323	1024	224	84.4
529	xcit_medium_24_p16_224	810.62	1263.211	1024	224	84.4
530	dpn131	808.5	1266.522	1024	224	79.25
531	swin_base_patch4_window7_224	797.2	1284.488	1024	224	87.77
532	hrnet_w44	791.54	1293.66	1024	224	67.06
533	coat_mini	786.27	1302.337	1024	224	10.34
534	regnetx_120	777.95	658.124	512	224	46.11
535	gmlp_b16_224	772.78	1325.073	1024	224	73.08
536	dm_nfnet_f0	761.49	1344.713	1024	256	71.49
537	regnety_120	754.35	678.713	512	224	51.82
538	densenet264	750.52	1364.368	1024	224	72.69
539	mixnet_xl	748.42	684.091	512	224	11.9
540	crossvit_base_240	747.2	685.212	512	240	105.03
541	xcit_small_12_p16_384_dist	744.87	1374.713	1024	384	26.25
542	resnetv2_50d_gn	742.22	689.806	512	288	25.57
543	xception71	741.19	690.762	512	299	42.34
544	hrnet_w64	723.1	1416.105	1024	224	128.06
545	vit_large_r50_s32_224	721.71	1418.838	1024	224	328.99
546	regnety_040s_gn	714.09	716.982	512	224	20.65
547	seresnet200d	712.88	1436.411	1024	256	71.86
548	resnet152d	711.54	1439.114	1024	320	60.21
549	ecaresnet200d	707.4	1447.533	1024	256	64.69
550	dpn107	701.19	1460.351	1024	224	86.92
551	cspresnext50_iabn	693.03	1477.558	1024	256	20.57
552	senet154	692.07	1479.599	1024	224	115.09
553	legacy_senet154	691.5	1480.826	1024	224	115.09
554	gluon_senet154	689.56	1484.981	1024	224	115.09
555	convit_base	687.54	1489.363	1024	224	86.54
556	vit_small_patch16_384	683.58	748.981	512	384	22.2
557	volo_d2_224	677.6	1511.204	1024	224	58.68
558	tnt_b_patch16_224	675.63	1515.603	1024	224	65.41
559	xcit_nano_12_p8_384_dist	672.93	1521.688	1024	384	3.05
560	resnext101_64x4d	667.5	767.03	512	288	83.46
561	xcit_tiny_24_p8_224	665.57	1538.51	1024	224	12.11
562	swin_s3_base_224	665.44	1538.819	1024	224	71.13
563	xcit_tiny_24_p8_224_dist	665.24	1539.279	1024	224	12.11
564	swin_v2_cr_base_224	655.51	1562.118	1024	224	87.88
565	poolformer_m48	648.5	1579.004	1024	224	73.47
566	repvgg_b3g4	644.06	1589.905	1024	224	83.83
567	tresnet_l	638.84	1602.889	1024	224	55.99
568	resnetrs152	628.07	1630.372	1024	320	86.62
569	nest_base	626.36	817.402	512	224	67.72
570	seresnet152d	626.17	1635.31	1024	320	66.84
571	regnetx_160	623.38	821.322	512	224	54.28
572	jx_nest_base	620.6	824.996	512	224	67.72
573	regnetz_e8	607.41	842.906	512	320	57.7
574	ese_vovnet99b_iabn	606.83	1687.442	1024	224	63.2
575	regnetz_c16_evos	598.38	855.63	512	320	13.49
576	vit_base_r50_s16_224	595.98	1718.162	1024	224	98.66
577	resnest101e	584.85	875.416	512	256	48.28
578	vit_small_r26_s32_384	582.99	878.207	512	384	36.47
579	convmixer_768_32	574.69	1781.818	1024	224	21.11
580	seresnext101_32x8d	574.1	891.822	512	288	93.57
581	cspdarknet53_iabn	571.87	1790.614	1024	256	27.64
582	xcit_small_12_p8_224	568.57	1800.991	1024	224	26.21
583	xcit_small_12_p8_224_dist	567.71	1803.708	1024	224	26.21
584	seresnet269d	558.78	1832.551	1024	256	113.67
585	convnext_large_in22ft1k	544.26	940.706	512	224	197.77
586	convnext_large	544.24	940.754	512	224	197.77
587	regnety_080	536.38	954.53	512	288	39.18
588	resnet200d	524.48	1952.377	1024	320	64.69
589	mixnet_xxl	489.07	785.144	384	224	23.96
590	halonet_h1	488.76	523.759	256	256	8.1
591	eca_nfnet_l1	486.84	2103.345	1024	320	41.41
592	mixer_l16_224	485.71	2108.232	1024	224	208.2
593	efficientnetv2_m	483.16	2119.353	1024	416	54.14
594	vit_large_patch32_384	479.45	2135.754	1024	384	306.63
595	volo_d3_224	473.36	2163.252	1024	224	86.33
596	tresnet_xl	471.89	2169.959	1024	224	78.44
597	regnety_064	471.86	1085.046	512	288	30.58
598	regnetv_064	468.27	1093.376	512	288	30.58
599	efficientnet_b5	467.72	547.327	256	456	30.39
600	xcit_large_24_p16_224_dist	464.03	2206.748	1024	224	189.1
601	xcit_large_24_p16_224	463.92	2207.253	1024	224	189.1
602	efficientnet_b3_gn	459.87	417.496	192	320	11.73
603	swin_large_patch4_window7_224	457.64	1118.756	512	224	196.53
604	resnetrs200	456.26	2244.305	1024	320	93.21
605	tf_efficientnet_b5_ap	447.29	572.321	256	456	30.39
606	tf_efficientnet_b5	447.21	572.425	256	456	30.39
607	tf_efficientnet_b5_ns	446.89	572.83	256	456	30.39
608	xcit_tiny_12_p8_384_dist	429.76	2382.721	1024	384	6.71
609	regnety_320	415.34	1232.707	512	224	145.05
610	regnety_160	414.45	926.515	384	288	83.59
611	xcit_small_24_p16_384_dist	397.04	2579.039	1024	384	47.67
612	efficientnetv2_rw_m	393.18	1302.2	512	416	53.24
613	regnetz_d8_evos	387.65	1320.76	512	320	23.46
614	swin_v2_cr_large_224	386.59	1324.379	512	224	196.68
615	efficientnet_b3_g8_gn	385.43	498.136	192	320	14.25
616	swin_v2_cr_tiny_384	366.25	698.968	256	384	28.33
617	convnext_xlarge_in22ft1k	359.4	1424.579	512	224	350.2
618	tf_efficientnetv2_m	359.31	1424.935	512	480	54.14
619	tf_efficientnetv2_m_in21ft1k	358.34	1428.804	512	480	54.14
620	vit_large_patch16_224	354.58	2887.929	1024	224	304.33
621	crossvit_15_dagger_408	354.15	722.849	256	408	28.5
622	ssl_resnext101_32x16d	347.17	1474.787	512	224	194.03
623	swsl_resnext101_32x16d	346.95	1475.72	512	224	194.03
624	vit_base_patch16_18x2_224	346.41	2956.033	1024	224	256.73
625	ig_resnext101_32x16d	345.97	1479.87	512	224	194.03
626	convnext_base_384_in22ft1k	335.81	1143.488	384	384	88.59
627	beit_large_patch16_224	328.45	3117.61	1024	224	304.43
628	tresnet_m_448	321.84	3181.675	1024	448	31.39
629	volo_d1_384	310.06	1651.255	512	384	26.78
630	volo_d4_224	303.03	3379.23	1024	224	192.96
631	pnasnet5large	299.35	1282.762	384	331	86.06
632	xcit_small_24_p8_224	297.54	3441.571	1024	224	47.63
633	xcit_small_24_p8_224_dist	297.52	3441.791	1024	224	47.63
634	ecaresnet269d	293.49	3489.006	1024	352	102.09
635	nasnetalarge	291.8	1315.945	384	331	88.75
636	resnetrs270	287.51	3561.559	1024	352	129.86
637	nfnet_f1	286.44	3574.909	1024	320	132.63
638	resnetv2_152x2_bit_teacher	280.03	1828.366	512	224	236.34
639	xcit_medium_24_p16_384_dist	278.67	1837.25	512	384	84.4
640	vit_base_patch16_384	277.57	1383.439	384	384	86.86
641	deit_base_patch16_384	277.28	1384.877	384	384	86.86
642	deit_base_distilled_patch16_384	273.16	1405.736	384	384	87.63
643	cait_xxs24_384	268.69	3811.003	1024	384	12.03
644	efficientnet_b6	268.02	477.57	128	528	43.04
645	regnetx_320	262.23	1464.357	384	224	107.81
646	dm_nfnet_f1	261.81	3911.156	1024	320	132.63
647	vit_large_patch14_224	261.02	3923.008	1024	224	304.2
648	crossvit_18_dagger_408	259.11	740.985	192	408	44.61
649	tf_efficientnet_b6_ns	257.39	497.28	128	528	43.04
650	tf_efficientnet_b6_ap	257.15	497.757	128	528	43.04
651	tf_efficientnet_b6	257.08	497.876	128	528	43.04
652	beit_base_patch16_384	239.23	1605.166	384	384	86.74
653	vit_large_r50_s32_384	236.31	1624.94	384	384	329.09
654	eca_nfnet_l2	232.83	2198.978	512	384	56.72
655	xcit_tiny_24_p8_384_dist	226.12	4528.604	1024	384	12.11
656	swin_v2_cr_small_384	224.11	1142.266	256	384	49.7
657	swin_base_patch4_window12_384	212.75	902.462	192	384	87.9
658	resmlp_big_24_distilled_224	209.1	4897.073	1024	224	129.14
659	resmlp_big_24_224	208.19	4918.549	1024	224	129.14
660	resmlp_big_24_224_in22ft1k	208.06	4921.598	1024	224	129.14
661	xcit_medium_24_p8_224	208.01	4922.91	1024	224	84.32
662	xcit_medium_24_p8_224_dist	207.93	4924.607	1024	224	84.32
663	resnest200e	201.92	2535.671	512	320	70.2
664	volo_d5_224	199.55	5131.435	1024	224	295.46
665	xcit_small_12_p8_384_dist	193.71	2643.156	512	384	26.21
666	resnetrs350	188.78	2712.164	512	384	163.96
667	cait_xs24_384	188.52	2715.867	512	384	26.67
668	efficientnetv2_l	186.87	2739.852	512	480	118.52
669	convnext_large_384_in22ft1k	186.32	1373.958	256	384	197.77
670	tf_efficientnetv2_l	185.75	2756.36	512	480	118.52
671	tf_efficientnetv2_l_in21ft1k	185.69	2757.265	512	480	118.52
672	vit_base_patch8_224	182.98	1399.048	256	224	86.58
673	cait_xxs36_384	179.96	5689.985	1024	384	17.37
674	volo_d2_384	173.85	1472.545	256	384	58.87
675	vit_base_r50_s16_384	171.75	2235.786	384	384	98.95
676	vit_base_resnet50_384	171.74	2235.946	384	384	98.95
677	swin_v2_cr_huge_224	170.46	2252.707	384	224	657.83
678	densenet264d_iabn	163.84	6249.837	1024	224	72.74
679	efficientnet_b7	161.28	595.212	96	600	66.35
680	nfnet_f2	161.05	6358.083	1024	352	193.78
681	swin_v2_cr_base_384	160.58	1195.67	192	384	87.88
682	xcit_large_24_p16_384_dist	158.84	3223.264	512	384	189.1
683	tf_efficientnet_b7	155.96	615.536	96	600	66.35
684	tf_efficientnet_b7_ap	155.94	615.594	96	600	66.35
685	tf_efficientnet_b7_ns	155.94	615.59	96	600	66.35
686	tresnet_l_448	152.84	6699.593	1024	448	55.99
687	dm_nfnet_f2	147.62	3468.342	512	352	193.78
688	cait_s24_384	145.6	3516.436	512	384	47.06
689	efficientnetv2_xl	141.55	2712.868	384	512	208.12
690	vit_huge_patch14_224	141.3	7246.972	1024	224	632.05
691	tf_efficientnetv2_xl_in21ft1k	141.27	2718.106	384	512	208.12
692	resnetrs420	134.22	3814.641	512	416	191.89
693	swin_large_patch4_window12_384	125.78	1017.629	128	384	196.74
694	eca_nfnet_l3	122.95	4164.413	512	448	72.04
695	convnext_xlarge_384_in22ft1k	122.83	1563.128	192	384	350.2
696	xcit_large_24_p8_224	118.58	4317.779	512	224	188.93
697	xcit_large_24_p8_224_dist	118.55	4318.826	512	224	188.93
698	tresnet_xl_448	113.53	9019.968	1024	448	78.44
699	efficientnet_cc_b0_8e	109.15	9.151	1	224	24.01
700	efficientnet_cc_b0_4e	106.25	9.403	1	224	13.31
701	tf_efficientnet_cc_b0_4e	105.28	9.489	1	224	13.31
702	tf_efficientnet_cc_b0_8e	105.02	9.512	1	224	24.01
703	xcit_small_24_p8_384_dist	101.44	5047.074	512	384	47.63
704	efficientnet_b8	98.72	972.467	96	672	87.41
705	swin_v2_cr_large_384	98.1	1304.769	128	384	196.68
706	cait_s36_384	97.37	5258.401	512	384	68.37
707	resnetv2_152x2_bit_teacher_384	96.99	2639.495	256	384	236.34
708	tf_efficientnet_b8	96.21	997.82	96	672	87.41
709	tf_efficientnet_b8_ap	96.12	998.706	96	672	87.41
710	resnest269e	94.82	4049.739	384	416	110.93
711	vit_large_patch16_384	94.39	2712.048	256	384	304.72
712	resnetv2_50x3_bitm	92.92	1377.53	128	448	217.32
713	vit_giant_patch14_224	92.83	5515.228	512	224	1012.61
714	nfnet_f3	83.35	6142.681	512	416	254.92
715	convmixer_1024_20_ks9_p14	82.56	12403.804	1024	224	24.38
716	beit_large_patch16_384	82.25	3112.33	256	384	305.0
717	efficientnet_cc_b1_8e	77.14	12.953	1	240	39.72
718	dm_nfnet_f3	76.92	6655.946	512	416	254.92
719	volo_d3_448	75.82	2532.146	192	448	86.63
720	tf_efficientnet_cc_b1_8e	73.25	13.64	1	240	39.72
721	xcit_medium_24_p8_384_dist	70.98	3606.847	256	384	84.32
722	resnetv2_152x2_bitm	70.34	2729.533	192	448	236.34
723	resnetv2_101x3_bitm	57.82	2213.862	128	448	387.93
724	vit_gigantic_patch14_224	56.06	9133.289	512	224	1844.44
725	volo_d4_448	55.8	3441.115	192	448	193.41
726	swin_v2_cr_giant_224	49.27	2597.97	128	224	2598.76
727	nfnet_f4	44.93	8547.007	384	512	316.07
728	swin_v2_cr_huge_384	43.72	1463.762	64	384	657.94
729	dm_nfnet_f4	41.24	9312.061	384	512	316.07
730	xcit_large_24_p8_384_dist	40.33	4760.775	192	384	188.93
731	volo_d5_448	38.49	3325.731	128	448	295.91
732	beit_large_patch16_512	33.13	2897.67	96	512	305.67
733	nfnet_f5	33.1	11599.778	384	544	377.21
734	cait_m36_384	31.8	8050.244	256	384	271.22
735	dm_nfnet_f5	31.5	8127.503	256	544	377.21
736	volo_d5_512	26.9	4758.532	128	512	296.09
737	nfnet_f6	25.41	10073.116	256	576	438.36
738	dm_nfnet_f6	23.41	10936.755	256	576	438.36
739	nfnet_f7	20.63	9307.125	192	608	499.5
740	resnetv2_152x4_bitm	18.31	3496.111	64	480	936.53
741	swin_v2_cr_giant_384	13.76	2325.078	32	384	2598.76
742	cait_m48_448	13.51	9473.095	128	448	356.46
743	convmixer_1536_20	13.51	75823.541	1024	224	51.63