Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
97b96f1
•
1 Parent(s): 53bdb6b

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 +39 -38
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": 942.24384,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -10,55 +10,56 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 24,
14
- "total": 1.0189366050000785,
15
- "mean": 0.042455691875003275,
16
- "stdev": 0.0035839844448729606,
17
- "p50": 0.043137909000023456,
18
- "p90": 0.04663252819999002,
19
- "p95": 0.04714009640003951,
20
- "p99": 0.047295363899999075,
21
  "values": [
22
- 0.04731630999998515,
23
- 0.04665761600000451,
24
- 0.04639604699997335,
25
- 0.04640906100001985,
26
- 0.04657398999995621,
27
- 0.04515594500003317,
28
- 0.04722524000004569,
29
- 0.04651740399998516,
30
- 0.04602047200000925,
31
- 0.04346564299999045,
32
- 0.043248105000031956,
33
- 0.043027713000014955,
34
- 0.04367045600002939,
35
- 0.04210949499997696,
36
- 0.038652904000002763,
37
- 0.038482815999998365,
38
- 0.038240813000015805,
39
- 0.03894371799998453,
40
- 0.03823495199998206,
41
- 0.03825739399997019,
42
- 0.03864707400003908,
43
- 0.03861378099998092,
44
- 0.0389012890000231,
45
- 0.03816836700002568
 
46
  ]
47
  },
48
  "throughput": {
49
  "unit": "samples/s",
50
- "value": 23.553967815297153
51
  },
52
  "energy": {
53
  "unit": "kWh",
54
- "cpu": 1.5004251757238667e-06,
55
- "ram": 6.270243458835431e-08,
56
  "gpu": 0.0,
57
- "total": 1.563127610312221e-06
58
  },
59
  "efficiency": {
60
  "unit": "samples/kWh",
61
- "value": 639743.0340317889
62
  }
63
  }
64
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 940.843008,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 25,
14
+ "total": 1.026206056999854,
15
+ "mean": 0.04104824227999416,
16
+ "stdev": 0.0009266104862590732,
17
+ "p50": 0.04086556199996494,
18
+ "p90": 0.042373803000020874,
19
+ "p95": 0.042816358200036576,
20
+ "p99": 0.04324604804001865,
21
  "values": [
22
+ 0.04335374300001149,
23
+ 0.04160033499999827,
24
+ 0.041104458000006616,
25
+ 0.041240141999992375,
26
+ 0.04096495699997149,
27
+ 0.040720740999972804,
28
+ 0.04078956999995853,
29
+ 0.041227827999989586,
30
+ 0.04224190500002578,
31
+ 0.04086556199996494,
32
+ 0.040774400999964655,
33
+ 0.041718865999996524,
34
+ 0.04037361199999623,
35
+ 0.04019754299997658,
36
+ 0.0424617350000176,
37
+ 0.04183003399998597,
38
+ 0.04020162099999425,
39
+ 0.03980598999999074,
40
+ 0.040000775999999405,
41
+ 0.039740489000053,
42
+ 0.04088438700000552,
43
+ 0.04045266999997921,
44
+ 0.04046791799999028,
45
+ 0.04290501400004132,
46
+ 0.040281759999970745
47
  ]
48
  },
49
  "throughput": {
50
  "unit": "samples/s",
51
+ "value": 24.36157907027785
52
  },
53
  "energy": {
54
  "unit": "kWh",
55
+ "cpu": 1.572372807396783e-06,
56
+ "ram": 6.571210569110614e-08,
57
  "gpu": 0.0,
58
+ "total": 1.6380849130878892e-06
59
  },
60
  "efficiency": {
61
  "unit": "samples/kWh",
62
+ "value": 610468.9640996323
63
  }
64
  }
65
  }