Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
5904337
•
1 Parent(s): fdb986c

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 -36
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": 939.687936,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -10,53 +10,56 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 22,
14
- "total": 1.0349017860000345,
15
- "mean": 0.04704099027272884,
16
- "stdev": 0.0008960551270762394,
17
- "p50": 0.04712982150002176,
18
- "p90": 0.047913666700009114,
19
- "p95": 0.048377054699992074,
20
- "p99": 0.04845439401997794,
21
  "values": [
22
- 0.04846872399997437,
23
- 0.04708775700004253,
24
- 0.04755368600001475,
25
- 0.04527209899998752,
26
- 0.04840048599999136,
27
- 0.04726427999997895,
28
- 0.047171886000000995,
29
- 0.04765358499997774,
30
- 0.04450468900000715,
31
- 0.04748437500001046,
32
- 0.0474714909999534,
33
- 0.04701656299999968,
34
- 0.04774992700004077,
35
- 0.0479318600000056,
36
- 0.04664772600000333,
37
- 0.046690858000033586,
38
- 0.0474607810000407,
39
- 0.04655552200000557,
40
- 0.046383206000029986,
41
- 0.04690025299998979,
42
- 0.04702021899998954,
43
- 0.04621181299995669
 
 
 
44
  ]
45
  },
46
  "throughput": {
47
  "unit": "samples/s",
48
- "value": 21.25805588280168
49
  },
50
  "energy": {
51
  "unit": "kWh",
52
- "cpu": 1.5788004133436418e-06,
53
- "ram": 6.598061593898592e-08,
54
  "gpu": 0.0,
55
- "total": 1.6447810292826278e-06
56
  },
57
  "efficiency": {
58
  "unit": "samples/kWh",
59
- "value": 607983.6660300919
60
  }
61
  }
62
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 939.368448,
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": 1.0094163909998315,
15
+ "mean": 0.04037665563999326,
16
+ "stdev": 0.0008401878636668612,
17
+ "p50": 0.04024850999996943,
18
+ "p90": 0.04093519699998751,
19
+ "p95": 0.04157694580002271,
20
+ "p99": 0.043144950479993435,
21
  "values": [
22
+ 0.04169261100003041,
23
+ 0.04066656499998089,
24
+ 0.041114284999991924,
25
+ 0.04048101600000109,
26
+ 0.040236526999990474,
27
+ 0.04024850999996943,
28
+ 0.04027888600001006,
29
+ 0.040181614000005084,
30
+ 0.040146186000015405,
31
+ 0.04063354299995581,
32
+ 0.04051036200002045,
33
+ 0.040291027999955986,
34
+ 0.03989506599998549,
35
+ 0.039904109000019616,
36
+ 0.04049541300003057,
37
+ 0.040571537000005264,
38
+ 0.040205769000010605,
39
+ 0.040485113999977784,
40
+ 0.04008618400001751,
41
+ 0.043603583999981765,
42
+ 0.03953235399995947,
43
+ 0.03930639999998675,
44
+ 0.040122021999991375,
45
+ 0.039243942999974024,
46
+ 0.039483762999964256
47
  ]
48
  },
49
  "throughput": {
50
  "unit": "samples/s",
51
+ "value": 24.76678625679675
52
  },
53
  "energy": {
54
  "unit": "kWh",
55
+ "cpu": 1.5455372822590364e-06,
56
+ "ram": 6.459073780373633e-08,
57
  "gpu": 0.0,
58
+ "total": 1.6101280200627728e-06
59
  },
60
  "efficiency": {
61
  "unit": "samples/kWh",
62
+ "value": 621068.6277983125
63
  }
64
  }
65
  }