Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
c459060
•
1 Parent(s): 566ee89

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 -48
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": 945.205248,
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": 4.382080284999972,
15
- "mean": 4.382080284999972,
16
  "stdev": 0.0,
17
- "p50": 4.382080284999972,
18
- "p90": 4.382080284999972,
19
- "p95": 4.382080284999972,
20
- "p99": 4.382080284999972,
21
  "values": [
22
- 4.382080284999972
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.8061207930246994e-05,
29
- "ram": 2.0087280836014542e-06,
30
  "gpu": 0,
31
- "total": 5.006993601384845e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 955.953152,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -44,54 +44,54 @@
44
  "latency": {
45
  "unit": "s",
46
  "count": 24,
47
- "total": 1.0053353680000328,
48
- "mean": 0.04188897366666803,
49
- "stdev": 0.0010344464337731839,
50
- "p50": 0.04175392400000533,
51
- "p90": 0.04227163420002285,
52
- "p95": 0.0437499755500113,
53
- "p99": 0.04538303487999883,
54
  "values": [
55
- 0.04161714800000027,
56
- 0.04177034500003174,
57
- 0.041629591000003074,
58
- 0.04211181300001954,
59
- 0.042093539000006785,
60
- 0.04175800100000515,
61
- 0.04207223899999235,
62
- 0.04150126999996928,
63
- 0.041426922000027844,
64
- 0.04104187100000445,
65
- 0.041343805999986216,
66
- 0.041338085000006686,
67
- 0.0417498470000055,
68
- 0.041332456000020557,
69
- 0.04144134899996743,
70
- 0.040642253999976674,
71
- 0.041897382000001926,
72
- 0.041909564000036426,
73
- 0.04185505300000614,
74
- 0.04206740999995873,
75
- 0.04234012900002426,
76
- 0.04579651599999579,
77
- 0.04399877200000901,
78
- 0.04060000599997693
79
  ]
80
  },
81
  "throughput": {
82
  "unit": "samples/s",
83
- "value": 23.87263072992695
84
  },
85
  "energy": {
86
  "unit": "kWh",
87
- "cpu": 1.5809807777404788e-06,
88
- "ram": 6.607256625052287e-08,
89
  "gpu": 0.0,
90
- "total": 1.6470533439910018e-06
91
  },
92
  "efficiency": {
93
  "unit": "samples/kWh",
94
- "value": 607144.877030445
95
  }
96
  }
97
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 947.109888,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.2516832889999705,
15
+ "mean": 4.2516832889999705,
16
  "stdev": 0.0,
17
+ "p50": 4.2516832889999705,
18
+ "p90": 4.2516832889999705,
19
+ "p95": 4.2516832889999705,
20
+ "p99": 4.2516832889999705,
21
  "values": [
22
+ 4.2516832889999705
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.7319498327043325e-05,
29
+ "ram": 1.977736275339339e-06,
30
  "gpu": 0,
31
+ "total": 4.9297234602382665e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 957.80864,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 24,
47
+ "total": 1.029964734000032,
48
+ "mean": 0.042915197250001334,
49
+ "stdev": 0.0018739611183676195,
50
+ "p50": 0.04343676000002006,
51
+ "p90": 0.04444390990000215,
52
+ "p95": 0.044542927000026114,
53
+ "p99": 0.04501621871000282,
54
  "values": [
55
+ 0.043731780999962666,
56
+ 0.043067280000002484,
57
+ 0.041901413999994475,
58
+ 0.04455258400003004,
59
+ 0.04379598100001658,
60
+ 0.04356912700001203,
61
+ 0.04293273899997985,
62
+ 0.04186563700000079,
63
+ 0.04347678400000632,
64
+ 0.04448820400000386,
65
+ 0.04335312399996383,
66
+ 0.04336721999999327,
67
+ 0.04227690499999426,
68
+ 0.04515470699999469,
69
+ 0.04374724000001606,
70
+ 0.04434055699999817,
71
+ 0.04352228999999852,
72
+ 0.04257750499999702,
73
+ 0.0433967360000338,
74
+ 0.044253534999995736,
75
+ 0.043743131999974594,
76
+ 0.04220377100000405,
77
+ 0.03738536200000908,
78
+ 0.0372611190000498
79
  ]
80
  },
81
  "throughput": {
82
  "unit": "samples/s",
83
+ "value": 23.301768699198252
84
  },
85
  "energy": {
86
  "unit": "kWh",
87
+ "cpu": 1.4419212262816883e-06,
88
+ "ram": 6.026083017673045e-08,
89
  "gpu": 0.0,
90
+ "total": 1.5021820564584186e-06
91
  },
92
  "efficiency": {
93
  "unit": "samples/kWh",
94
+ "value": 665698.2725233882
95
  }
96
  }
97
  }