Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
cde5b35
•
1 Parent(s): dd1773c

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": 523.71456,
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": 3.441213497999968,
15
- "mean": 3.441213497999968,
16
  "stdev": 0.0,
17
- "p50": 3.441213497999968,
18
- "p90": 3.441213497999968,
19
- "p95": 3.441213497999968,
20
- "p99": 3.441213497999968,
21
  "values": [
22
- 3.441213497999968
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 1.0016453105557037e-05,
29
- "ram": 4.1857491779411183e-07,
30
  "gpu": 0,
31
- "total": 1.0435028023351149e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 554.237952,
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": 1.0624230580000926,
48
- "mean": 0.08853525483334106,
49
- "stdev": 0.006466912860089737,
50
- "p50": 0.09087006000001452,
51
- "p90": 0.09343794690001914,
52
- "p95": 0.09626217460000247,
53
- "p99": 0.09892845491998856,
54
  "values": [
55
- 0.09177935500002832,
56
- 0.09081413000001248,
57
- 0.09010687900001813,
58
- 0.09216826700003367,
59
- 0.09092599000001655,
60
- 0.09256179600004089,
61
- 0.09353529700001673,
62
- 0.09959502499998507,
63
- 0.08461362700001018,
64
- 0.07883592999996836,
65
- 0.07874911699997256,
66
- 0.0787376449999897
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
- "value": 11.29493558111288
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
- "cpu": 3.152974539316143e-06,
76
- "ram": 1.3184405443993177e-07,
77
  "gpu": 0.0,
78
- "total": 3.284818593756075e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
- "value": 304430.8145055082
83
  }
84
  }
85
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 523.48928,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 3.314013904000035,
15
+ "mean": 3.314013904000035,
16
  "stdev": 0.0,
17
+ "p50": 3.314013904000035,
18
+ "p90": 3.314013904000035,
19
+ "p95": 3.314013904000035,
20
+ "p99": 3.314013904000035,
21
  "values": [
22
+ 3.314013904000035
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 1.0235708116668561e-05,
29
+ "ram": 4.276308192009968e-07,
30
  "gpu": 0,
31
+ "total": 1.0663338935869558e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 552.726528,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 12,
47
+ "total": 1.059551861999978,
48
+ "mean": 0.08829598849999816,
49
+ "stdev": 0.007138974000646729,
50
+ "p50": 0.09153354150001292,
51
+ "p90": 0.09624946549998867,
52
+ "p95": 0.09696437175000198,
53
+ "p99": 0.0972813103500124,
54
  "values": [
55
+ 0.09240143699997816,
56
+ 0.09131425700002183,
57
+ 0.09125087799998255,
58
+ 0.0919136260000073,
59
+ 0.091752826000004,
60
+ 0.09273258499996473,
61
+ 0.09664022999999133,
62
+ 0.09736054500001501,
63
+ 0.07870849500000077,
64
+ 0.07857279099999914,
65
+ 0.07868162500000153,
66
+ 0.07822256700001162
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
+ "value": 11.32554283595818
72
  },
73
  "energy": {
74
  "unit": "kWh",
75
+ "cpu": 3.154787267094065e-06,
76
+ "ram": 1.3192115602620616e-07,
77
  "gpu": 0.0,
78
+ "total": 3.286708423120271e-06
79
  },
80
  "efficiency": {
81
  "unit": "samples/kWh",
82
+ "value": 304255.7693787268
83
  }
84
  }
85
  }