Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
d566a58
•
1 Parent(s): 9e83aa4

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": 530.026496,
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": 3.415182814000019,
15
- "mean": 3.415182814000019,
16
  "stdev": 0.0,
17
- "p50": 3.415182814000019,
18
- "p90": 3.415182814000019,
19
- "p95": 3.415182814000019,
20
- "p99": 3.415182814000019,
21
  "values": [
22
- 3.415182814000019
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 1.0370053127777606e-05,
29
- "ram": 4.33094191440492e-07,
30
  "gpu": 0,
31
- "total": 1.0803147319218098e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 556.355584,
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": 1.0529091599999845,
48
- "mean": 0.0877424299999987,
49
- "stdev": 0.005839891304293061,
50
- "p50": 0.08970761000000493,
51
- "p90": 0.09395393659999059,
52
- "p95": 0.09496781169999338,
53
- "p99": 0.09564385673999538,
54
  "values": [
55
- 0.08913250500000913,
56
- 0.09011035000000334,
57
- 0.08769238200000018,
58
- 0.09050068400000555,
59
- 0.08963173200001506,
60
- 0.09105174799998395,
61
- 0.0897834879999948,
62
- 0.09427640199999132,
63
- 0.09581286799999589,
64
- 0.07883653999999751,
65
- 0.07811160899998981,
66
- 0.07796885199999792
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
- "value": 11.396994589732866
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
- "cpu": 3.0569655038461457e-06,
76
- "ram": 1.2775641975375432e-07,
77
  "gpu": 0.0,
78
- "total": 3.1847219235999e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
- "value": 313999.1572230063
83
  }
84
  }
85
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 527.74912,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 3.339338280000021,
15
+ "mean": 3.339338280000021,
16
  "stdev": 0.0,
17
+ "p50": 3.339338280000021,
18
+ "p90": 3.339338280000021,
19
+ "p95": 3.339338280000021,
20
+ "p99": 3.339338280000021,
21
  "values": [
22
+ 3.339338280000021
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 1.0027257877778102e-05,
29
+ "ram": 4.187514684810861e-07,
30
  "gpu": 0,
31
+ "total": 1.0446009346259189e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 554.123264,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 12,
47
+ "total": 1.0560204779999935,
48
+ "mean": 0.08800170649999946,
49
+ "stdev": 0.007198210049546501,
50
+ "p50": 0.08970846500000107,
51
+ "p90": 0.09708376359999704,
52
+ "p95": 0.09766502899999666,
53
+ "p99": 0.09806580739999873,
54
  "values": [
55
+ 0.09725514199999452,
56
+ 0.09554135800001973,
57
+ 0.08871853799999485,
58
+ 0.09040162499999838,
59
+ 0.08901530500000376,
60
+ 0.09080352999998809,
61
+ 0.09112990100001639,
62
+ 0.09816600199999925,
63
+ 0.0809724160000087,
64
+ 0.07772785000000226,
65
+ 0.07720820399998729,
66
+ 0.07908060699998032
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
+ "value": 11.36341600375677
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
+ "cpu": 3.0348421803418767e-06,
76
+ "ram": 1.2683104111807184e-07,
77
  "gpu": 0.0,
78
+ "total": 3.1616732214599485e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
+ "value": 316288.2214431495
83
  }
84
  }
85
  }