Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
963f273
•
1 Parent(s): ca3981a

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 +35 -35
cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 941.039616,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -11,52 +11,52 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 22,
14
- "total": 1.0359433090000607,
15
- "mean": 0.04708833222727549,
16
- "stdev": 0.003186730771292657,
17
- "p50": 0.04773207200000229,
18
- "p90": 0.049897197399982926,
19
- "p95": 0.049999193300004664,
20
- "p99": 0.05194411247000516,
21
  "values": [
22
- 0.04968575499998451,
23
- 0.04751558400002409,
24
- 0.04793182800000295,
25
- 0.048670520000001716,
26
- 0.04774996000000442,
27
- 0.047181273999996165,
28
- 0.04714005799999654,
29
- 0.048065406000006305,
30
- 0.05246001800000499,
31
- 0.04745143600001711,
32
- 0.047389529999975366,
33
- 0.050003325000005816,
34
- 0.0475034720000167,
35
- 0.04992069099998275,
36
- 0.04872668500001964,
37
- 0.04792898200000195,
38
- 0.049013697000020784,
39
- 0.04771418400000016,
40
- 0.04354034200000001,
41
- 0.04049645899999632,
42
- 0.03992759199999796,
43
- 0.03992651100000444
44
  ]
45
  },
46
  "throughput": {
47
  "unit": "samples/s",
48
- "value": 21.23668332897038
49
  },
50
  "energy": {
51
  "unit": "kWh",
52
- "cpu": 1.5814818276299372e-06,
53
- "ram": 6.609270549961365e-08,
54
  "gpu": 0.0,
55
- "total": 1.6475745331295509e-06
56
  },
57
  "efficiency": {
58
  "unit": "samples/kWh",
59
- "value": 606952.8145112259
60
  }
61
  }
62
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 940.118016,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 22,
14
+ "total": 1.0246140239999875,
15
+ "mean": 0.04657336472727216,
16
+ "stdev": 0.00273718234373258,
17
+ "p50": 0.04720928599999752,
18
+ "p90": 0.04864391300000363,
19
+ "p95": 0.04928025209999589,
20
+ "p99": 0.04952694291000597,
21
  "values": [
22
+ 0.049584027000008746,
23
+ 0.04789605400000596,
24
+ 0.04799937699999646,
25
+ 0.048673280000002705,
26
+ 0.0478860149999889,
27
+ 0.04677156599998966,
28
+ 0.0465939629999923,
29
+ 0.046045905999989145,
30
+ 0.04837961000001201,
31
+ 0.04689136100000724,
32
+ 0.04686883800002306,
33
+ 0.04931219799999553,
34
+ 0.04732183699999837,
35
+ 0.048122807999988026,
36
+ 0.04709673499999667,
37
+ 0.04701024299998835,
38
+ 0.047950425000010455,
39
+ 0.047789163000004464,
40
+ 0.0462697240000125,
41
+ 0.04012609000000111,
42
+ 0.03989934499998071,
43
+ 0.04012545899999509
44
  ]
45
  },
46
  "throughput": {
47
  "unit": "samples/s",
48
+ "value": 21.471499984076218
49
  },
50
  "energy": {
51
  "unit": "kWh",
52
+ "cpu": 1.621711309309359e-06,
53
+ "ram": 6.777339224356638e-08,
54
  "gpu": 0.0,
55
+ "total": 1.6894847015529255e-06
56
  },
57
  "efficiency": {
58
  "unit": "samples/kWh",
59
+ "value": 591896.4516700441
60
  }
61
  }
62
  }