Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
f955e22
·
verified ·
1 Parent(s): c64513a

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": 523.5712,
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": 3.2748483550000174,
15
- "mean": 3.2748483550000174,
16
  "stdev": 0.0,
17
- "p50": 3.2748483550000174,
18
- "p90": 3.2748483550000174,
19
- "p95": 3.2748483550000174,
20
- "p99": 3.2748483550000174,
21
  "values": [
22
- 3.2748483550000174
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 1.000487242222145e-05,
29
- "ram": 4.180957482970222e-07,
30
  "gpu": 0,
31
- "total": 1.0422968170518472e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 551.186432,
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": 1.056508213999905,
48
- "mean": 0.08804235116665875,
49
- "stdev": 0.006997574030868836,
50
- "p50": 0.09185556600002087,
51
- "p90": 0.09339545989998328,
52
- "p95": 0.09483980994999967,
53
- "p99": 0.09622157319001247,
54
  "values": [
55
- 0.0928576619999717,
56
- 0.09168653100005031,
57
- 0.09151825800000779,
58
- 0.092059345999985,
59
- 0.09202460099999143,
60
- 0.0934266429999866,
61
- 0.09656701400001566,
62
- 0.09311481199995342,
63
- 0.07919095199997628,
64
- 0.0780272839999725,
65
- 0.07810845500000596,
66
- 0.07792665599998827
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
- "value": 11.358170093697993
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
- "cpu": 3.047820356837666e-06,
76
- "ram": 1.2744704637192454e-07,
77
  "gpu": 0.0,
78
- "total": 3.1752674032095906e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
- "value": 314934.1057037245
83
  }
84
  }
85
  }
 
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
  "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
  "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
  }