Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
c9b7070
•
1 Parent(s): 0ad577b

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 +34 -34
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": 940.347392,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -11,51 +11,51 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 21,
14
- "total": 1.0063083560000337,
15
- "mean": 0.047919445523811124,
16
- "stdev": 0.0008247789343517792,
17
- "p50": 0.04781964699998298,
18
- "p90": 0.04889871500000709,
19
- "p95": 0.049182502000007844,
20
- "p99": 0.04928782599997703,
21
  "values": [
22
- 0.04931415699996933,
23
- 0.04781379600001401,
24
- 0.04889871500000709,
25
- 0.04678143699999282,
26
- 0.04877974300001142,
27
- 0.04781964699998298,
28
- 0.047574340999972264,
29
- 0.049182502000007844,
30
- 0.04599916199998688,
31
- 0.04818676000002142,
32
- 0.048317803999964326,
33
- 0.047561407000046074,
34
- 0.048549063999985265,
35
- 0.048445301000015206,
36
- 0.04696305499999198,
37
- 0.04688965799999778,
38
- 0.0484982890000083,
39
- 0.04803115100003197,
40
- 0.04774960800000372,
41
- 0.047748094999974455,
42
- 0.047204664000048524
43
  ]
44
  },
45
  "throughput": {
46
  "unit": "samples/s",
47
- "value": 20.868354987603123
48
  },
49
  "energy": {
50
  "unit": "kWh",
51
- "cpu": 1.5859182145860461e-06,
52
- "ram": 6.627782124165832e-08,
53
  "gpu": 0.0,
54
- "total": 1.6521960358277045e-06
55
  },
56
  "efficiency": {
57
  "unit": "samples/kWh",
58
- "value": 605255.0534652673
59
  }
60
  }
61
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 938.246144,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 21,
14
+ "total": 1.0160796979999986,
15
+ "mean": 0.04838474752380946,
16
+ "stdev": 0.0008698168187749237,
17
+ "p50": 0.04844315500000107,
18
+ "p90": 0.049222804999999425,
19
+ "p95": 0.04955348400000048,
20
+ "p99": 0.04973500000002105,
21
  "values": [
22
+ 0.049083975000002056,
23
+ 0.048147883000012826,
24
+ 0.04919337900000187,
25
+ 0.046597251000008555,
26
+ 0.04978037900002619,
27
+ 0.048556327999989435,
28
+ 0.04844315500000107,
29
+ 0.049005257999994,
30
+ 0.04642163200000482,
31
+ 0.048636506999997664,
32
+ 0.04909934299999463,
33
+ 0.047625293999999485,
34
+ 0.04894240999999511,
35
+ 0.04799506599999859,
36
+ 0.04955348400000048,
37
+ 0.04729014700001244,
38
+ 0.049222804999999425,
39
+ 0.047942699000003586,
40
+ 0.04817124599998124,
41
+ 0.04799288199998841,
42
+ 0.04837857499998677
43
  ]
44
  },
45
  "throughput": {
46
  "unit": "samples/s",
47
+ "value": 20.667670106326668
48
  },
49
  "energy": {
50
  "unit": "kWh",
51
+ "cpu": 1.5813312530517581e-06,
52
+ "ram": 6.608622692082234e-08,
53
  "gpu": 0.0,
54
+ "total": 1.6474174799725807e-06
55
  },
56
  "efficiency": {
57
  "unit": "samples/kWh",
58
+ "value": 607010.6771093893
59
  }
60
  }
61
  }