Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
4002f52
•
1 Parent(s): 92b0035

Upload cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark_report.json +36 -36
cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 523.423744,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -11,31 +11,31 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 3.314269163000006,
15
- "mean": 3.314269163000006,
16
  "stdev": 0.0,
17
- "p50": 3.314269163000006,
18
- "p90": 3.314269163000006,
19
- "p95": 3.314269163000006,
20
- "p99": 3.314269163000006,
21
  "values": [
22
- 3.314269163000006
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 9.93225605555621e-06,
29
- "ram": 4.1495328368355055e-07,
30
  "gpu": 0,
31
- "total": 1.034720933923976e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 552.800256,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -44,42 +44,42 @@
44
  "latency": {
45
  "unit": "s",
46
  "count": 12,
47
- "total": 1.0759534199999905,
48
- "mean": 0.0896627849999992,
49
- "stdev": 0.006951919529214629,
50
- "p50": 0.09175596150001297,
51
- "p90": 0.09678271310000355,
52
- "p95": 0.09837130064999967,
53
- "p99": 0.09975962252999551,
54
  "values": [
55
- 0.09257967400000666,
56
- 0.09156292400001576,
57
- 0.09055472000000009,
58
- 0.09337191199998074,
59
- 0.09194899900001019,
60
- 0.09526429699999994,
61
- 0.09695142600000395,
62
- 0.10010670299999447,
63
- 0.08684622299998068,
64
- 0.07937114099999576,
65
- 0.07897854300000517,
66
- 0.07841685799999709
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
- "value": 11.152899165467689
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
- "cpu": 3.077669442735006e-06,
76
- "ram": 1.286947926054994e-07,
77
  "gpu": 0.0,
78
- "total": 3.206364235340506e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
- "value": 311879.7262575514
83
  }
84
  }
85
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 523.563008,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 3.3126717410000026,
15
+ "mean": 3.3126717410000026,
16
  "stdev": 0.0,
17
+ "p50": 3.3126717410000026,
18
+ "p90": 3.3126717410000026,
19
+ "p95": 3.3126717410000026,
20
+ "p99": 3.3126717410000026,
21
  "values": [
22
+ 3.3126717410000026
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 9.739378483333244e-06,
29
+ "ram": 4.068758999212869e-07,
30
  "gpu": 0,
31
+ "total": 1.0146254383254532e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 552.931328,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 12,
47
+ "total": 1.04047084299998,
48
+ "mean": 0.08670590358333168,
49
+ "stdev": 0.004736910136067749,
50
+ "p50": 0.08777806499999485,
51
+ "p90": 0.08986052729998732,
52
+ "p95": 0.09297105479998606,
53
+ "p99": 0.09588290615998801,
54
  "values": [
55
+ 0.08999302499998407,
56
+ 0.08794095299998617,
57
+ 0.08755809100000533,
58
+ 0.0886680480000166,
59
+ 0.08761517700000354,
60
+ 0.0886008820000086,
61
+ 0.08837882899999272,
62
+ 0.0966108689999885,
63
+ 0.08545729799999435,
64
+ 0.0791526779999856,
65
+ 0.07866698300000508,
66
+ 0.0818280100000095
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
+ "value": 11.533240052552083
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
+ "cpu": 3.07958244102566e-06,
76
+ "ram": 1.2877450914437225e-07,
77
  "gpu": 0.0,
78
+ "total": 3.208356950170032e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
+ "value": 311686.01733887603
83
  }
84
  }
85
  }