Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
b8df529
•
1 Parent(s): d4a6b3b

Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json +44 -47
cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 941.62944,
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": 4.381609239999989,
15
- "mean": 4.381609239999989,
16
  "stdev": 0.0,
17
- "p50": 4.381609239999989,
18
- "p90": 4.381609239999989,
19
- "p95": 4.381609239999989,
20
- "p99": 4.381609239999989,
21
  "values": [
22
- 4.381609239999989
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.82687676722217e-05,
29
- "ram": 2.018546157424576e-06,
30
  "gpu": 0,
31
- "total": 5.028731382964628e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 952.377344,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,53 +43,50 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 22,
47
- "total": 1.0397367479999957,
48
- "mean": 0.047260761272727075,
49
- "stdev": 0.0013011948144068632,
50
- "p50": 0.047292455999979666,
51
- "p90": 0.04881697360003727,
52
- "p95": 0.04885714930000802,
53
- "p99": 0.04888350902000298,
54
  "values": [
55
- 0.04804215799998701,
56
- 0.048858515000006264,
57
- 0.047380880999980945,
58
- 0.04883120100004135,
59
- 0.04730518000002348,
60
- 0.04729877799996984,
61
- 0.047751053000013144,
62
- 0.04529102600002943,
63
- 0.0488901530000021,
64
- 0.04710105899999917,
65
- 0.0468758170000001,
66
- 0.046823929999959546,
67
- 0.048688927000000604,
68
- 0.046945368000024246,
69
- 0.04806458999996721,
70
- 0.047111878999999135,
71
- 0.04748405499998398,
72
- 0.047160900999983824,
73
- 0.047144699999989825,
74
- 0.046757777000038914,
75
- 0.04728613399998949,
76
- 0.0426426660000061
77
  ]
78
  },
79
  "throughput": {
80
  "unit": "samples/s",
81
- "value": 21.159202117573027
82
  },
83
  "energy": {
84
  "unit": "kWh",
85
- "cpu": 1.5734128557777977e-06,
86
- "ram": 6.579341143078074e-08,
87
  "gpu": 0.0,
88
- "total": 1.6392062672085784e-06
89
  },
90
  "efficiency": {
91
  "unit": "samples/kWh",
92
- "value": 610051.3522943702
93
  }
94
  }
95
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 941.34272,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.65631276900001,
15
+ "mean": 4.65631276900001,
16
  "stdev": 0.0,
17
+ "p50": 4.65631276900001,
18
+ "p90": 4.65631276900001,
19
+ "p95": 4.65631276900001,
20
+ "p99": 4.65631276900001,
21
  "values": [
22
+ 4.65631276900001
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.838492543888909e-05,
29
+ "ram": 2.023328594889032e-06,
30
  "gpu": 0,
31
+ "total": 5.0408254033778126e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 952.877056,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 19,
47
+ "total": 1.0024164460001543,
48
+ "mean": 0.0527587603157976,
49
+ "stdev": 0.00098425961439491,
50
+ "p50": 0.05291885900004445,
51
+ "p90": 0.05390471080000907,
52
+ "p95": 0.05397366070002363,
53
+ "p99": 0.05445763533999752,
54
  "values": [
55
+ 0.05234933799999908,
56
+ 0.053092075999984445,
57
+ 0.05136119299999109,
58
+ 0.05350083100000802,
59
+ 0.05300892700000759,
60
+ 0.05269962300002362,
61
+ 0.052768490000005386,
62
+ 0.05034787699997878,
63
+ 0.053906442000027255,
64
+ 0.05264683399997239,
65
+ 0.053410462000044845,
66
+ 0.05275901300001351,
67
+ 0.053904278000004524,
68
+ 0.05205940400003328,
69
+ 0.054578628999991,
70
+ 0.05296341199999688,
71
+ 0.05291885900004445,
72
+ 0.05110535300002539,
73
+ 0.05303540500000281
 
 
 
74
  ]
75
  },
76
  "throughput": {
77
  "unit": "samples/s",
78
+ "value": 18.954198203564864
79
  },
80
  "energy": {
81
  "unit": "kWh",
82
+ "cpu": 1.707875985024188e-06,
83
+ "ram": 7.141521931797438e-08,
84
  "gpu": 0.0,
85
+ "total": 1.7792912043421625e-06
86
  },
87
  "efficiency": {
88
  "unit": "samples/kWh",
89
+ "value": 562021.549682037
90
  }
91
  }
92
  }