Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
c20567f
•
1 Parent(s): f9dd039

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 +48 -45
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": 942.05952,
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": 4.467793420000021,
15
- "mean": 4.467793420000021,
16
  "stdev": 0.0,
17
- "p50": 4.467793420000021,
18
- "p90": 4.467793420000021,
19
- "p95": 4.467793420000021,
20
- "p99": 4.467793420000021,
21
  "values": [
22
- 4.467793420000021
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.901429679658679e-05,
29
- "ram": 2.048505038512758e-06,
30
  "gpu": 0,
31
- "total": 5.1062801835099545e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 953.20064,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,51 +43,54 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 20,
47
- "total": 1.0210462100001223,
48
- "mean": 0.051052310500006116,
49
- "stdev": 0.0034176746610701924,
50
- "p50": 0.04947247350000339,
51
- "p90": 0.056160755500008014,
52
- "p95": 0.05771794695000665,
53
- "p99": 0.060600018189987274,
54
  "values": [
55
- 0.04930775100001483,
56
- 0.04953420399999686,
57
- 0.0519551330000354,
58
- 0.05202307999996947,
59
- 0.052934079999999994,
60
- 0.05600880200000802,
61
- 0.05752833700000792,
62
- 0.06132053599998244,
63
- 0.05065610799999831,
64
- 0.04881135400000858,
65
- 0.049410743000009916,
66
- 0.04825547600000846,
67
- 0.05119650600005343,
68
- 0.048570554000036736,
69
- 0.049915925999982846,
70
- 0.048975600999995095,
71
- 0.049010675999966224,
72
- 0.049107516999981726,
73
- 0.048357116000033784,
74
- 0.04816671000003225
 
 
 
75
  ]
76
  },
77
  "throughput": {
78
  "unit": "samples/s",
79
- "value": 19.587752056782623
80
  },
81
  "energy": {
82
  "unit": "kWh",
83
- "cpu": 1.6226690124582365e-06,
84
- "ram": 6.78140570411756e-08,
85
  "gpu": 0.0,
86
- "total": 1.690483069499412e-06
87
  },
88
  "efficiency": {
89
  "unit": "samples/kWh",
90
- "value": 591546.8886039311
91
  }
92
  }
93
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 940.335104,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.511118237999995,
15
+ "mean": 4.511118237999995,
16
  "stdev": 0.0,
17
+ "p50": 4.511118237999995,
18
+ "p90": 4.511118237999995,
19
+ "p95": 4.511118237999995,
20
+ "p99": 4.511118237999995,
21
  "values": [
22
+ 4.511118237999995
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.768835968441434e-05,
29
+ "ram": 1.9931399327174403e-06,
30
  "gpu": 0,
31
+ "total": 4.968149961713178e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 952.262656,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 23,
47
+ "total": 1.0141675630000577,
48
+ "mean": 0.04409424186956773,
49
+ "stdev": 0.0011731244696765876,
50
+ "p50": 0.043729800000051,
51
+ "p90": 0.044978844800004934,
52
+ "p95": 0.04687167109998995,
53
+ "p99": 0.04791445436001596,
54
  "values": [
55
+ 0.04426035099999126,
56
+ 0.043554110999991735,
57
+ 0.043722254999977395,
58
+ 0.04355607500002634,
59
+ 0.045123062000016034,
60
+ 0.043729800000051,
61
+ 0.04372406900000669,
62
+ 0.043754957000032846,
63
+ 0.04440197599996054,
64
+ 0.044160002999944936,
65
+ 0.04347653599995738,
66
+ 0.04374362599997994,
67
+ 0.04337027899998702,
68
+ 0.04311828800001649,
69
+ 0.043261716000017714,
70
+ 0.043854884000040784,
71
+ 0.04383186999996269,
72
+ 0.043529276000015216,
73
+ 0.043918612000027224,
74
+ 0.04334324800004197,
75
+ 0.047065960999987055,
76
+ 0.0481537730000241,
77
+ 0.04351283500000136
78
  ]
79
  },
80
  "throughput": {
81
  "unit": "samples/s",
82
+ "value": 22.678698115686718
83
  },
84
  "energy": {
85
  "unit": "kWh",
86
+ "cpu": 1.6858009276566681e-06,
87
+ "ram": 7.045298923074483e-08,
88
  "gpu": 0.0,
89
+ "total": 1.756253916887413e-06
90
  },
91
  "efficiency": {
92
  "unit": "samples/kWh",
93
+ "value": 569393.7478996702
94
  }
95
  }
96
  }