Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
4901fa0
•
1 Parent(s): 2a9fbb0

Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json +41 -43
cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 936.054784,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -10,60 +10,58 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 29,
14
- "total": 1.0141411759996686,
15
- "mean": 0.03497038537929892,
16
- "stdev": 0.002453881649819887,
17
- "p50": 0.03616440100000773,
18
- "p90": 0.0372171237999737,
19
- "p95": 0.037343565599974225,
20
- "p99": 0.037539532639982554,
21
  "values": [
22
- 0.03298635800001648,
23
- 0.03694017800000893,
24
- 0.03681258199998183,
25
- 0.03532652699999517,
26
- 0.03712812699995993,
27
- 0.03675805099999252,
28
- 0.03616440100000773,
29
- 0.03593320199996697,
30
- 0.037354465999953845,
31
- 0.03761150299999372,
32
- 0.03718960099996593,
33
- 0.03608721699998796,
34
- 0.03669924199999741,
35
- 0.03557756300000392,
36
- 0.0373272150000048,
37
- 0.03677862899996853,
38
- 0.03686919699998725,
39
- 0.03660478699998748,
40
- 0.036206597999978385,
41
- 0.03680580899998631,
42
- 0.03490760900001533,
43
- 0.031344173999968916,
44
- 0.03185995000001185,
45
- 0.030997880999962035,
46
- 0.031525678999969386,
47
- 0.03126850400002468,
48
- 0.030910769000001892,
49
- 0.031019280999998955,
50
- 0.031146075999970435
51
  ]
52
  },
53
  "throughput": {
54
  "unit": "samples/s",
55
- "value": 28.595624244734815
56
  },
57
  "energy": {
58
  "unit": "kWh",
59
- "cpu": 1.2597496791552473e-06,
60
- "ram": 5.264666584881091e-08,
61
  "gpu": 0.0,
62
- "total": 1.312396345004058e-06
63
  },
64
  "efficiency": {
65
  "unit": "samples/kWh",
66
- "value": 761964.9382648257
67
  }
68
  }
69
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 938.00448,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 27,
14
+ "total": 1.0046809730000632,
15
+ "mean": 0.037210406407409746,
16
+ "stdev": 0.002002534550941035,
17
+ "p50": 0.038040260999991915,
18
+ "p90": 0.038528022599996346,
19
+ "p95": 0.038848303800011766,
20
+ "p99": 0.03899213389997613,
21
  "values": [
22
+ 0.03901360599996906,
23
+ 0.03830345199997964,
24
+ 0.03806761200002029,
25
+ 0.03713569399997141,
26
+ 0.038931020999996235,
27
+ 0.03806223200001568,
28
+ 0.03805387600004906,
29
+ 0.03833944899997732,
30
+ 0.03631287000001748,
31
+ 0.038417584999990595,
32
+ 0.03797265500003277,
33
+ 0.037760379000019384,
34
+ 0.03783275300003197,
35
+ 0.03726008600000341,
36
+ 0.038443172999961917,
37
+ 0.03701266399997394,
38
+ 0.038040260999991915,
39
+ 0.03839176700000735,
40
+ 0.037476269000023876,
41
+ 0.03781574199996385,
42
+ 0.0384110230000374,
43
+ 0.038655297000047995,
44
+ 0.038344537999989825,
45
+ 0.03384209299997565,
46
+ 0.03251436499999727,
47
+ 0.03232303000004322,
48
+ 0.03194748099997469
 
 
49
  ]
50
  },
51
  "throughput": {
52
  "unit": "samples/s",
53
+ "value": 26.8742025833093
54
  },
55
  "energy": {
56
  "unit": "kWh",
57
+ "cpu": 1.2830964553313447e-06,
58
+ "ram": 5.3622381735003835e-08,
59
  "gpu": 0.0,
60
+ "total": 1.3367188370663486e-06
61
  },
62
  "efficiency": {
63
  "unit": "samples/kWh",
64
+ "value": 748100.4772811207
65
  }
66
  }
67
  }