Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
58c6930
•
1 Parent(s): 5ffcc3f

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 +43 -42
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": 936.767488,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -10,59 +10,60 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 28,
14
- "total": 1.0101344830001722,
15
- "mean": 0.036076231535720434,
16
- "stdev": 0.000694139201075085,
17
- "p50": 0.03610273799998254,
18
- "p90": 0.0368631685000139,
19
- "p95": 0.0370095093000117,
20
- "p99": 0.03728659555002707,
21
  "values": [
22
- 0.036092067999959454,
23
- 0.03657427499996402,
24
- 0.03627225300004966,
25
- 0.037370143000032385,
26
- 0.03492255499998009,
27
- 0.036914426000009826,
28
- 0.036810113000001365,
29
- 0.03633397800001603,
30
- 0.036814120000030925,
31
- 0.03706070800001271,
32
- 0.035931369000024915,
33
- 0.03616614599997092,
34
- 0.036841201000015644,
35
- 0.035238772000013796,
36
- 0.035587830999986636,
37
- 0.035485891999996966,
38
- 0.03598002900002939,
39
- 0.035328329000037684,
40
- 0.03523166899998387,
41
- 0.03447857999998405,
42
- 0.03579876300000251,
43
- 0.03569773500004203,
44
- 0.03595847999997659,
45
- 0.03611340800000562,
46
- 0.035329200000035144,
47
- 0.0367212780000159,
48
- 0.0365498379999849,
49
- 0.036531324000009135
 
50
  ]
51
  },
52
  "throughput": {
53
  "unit": "samples/s",
54
- "value": 27.719081440362263
55
  },
56
  "energy": {
57
  "unit": "kWh",
58
- "cpu": 1.2407072302367953e-06,
59
- "ram": 5.18503560006689e-08,
60
  "gpu": 0.0,
61
- "total": 1.2925575862374642e-06
62
  },
63
  "efficiency": {
64
  "unit": "samples/kWh",
65
- "value": 773659.9209563445
66
  }
67
  }
68
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 937.234432,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 29,
14
+ "total": 1.0045533799998907,
15
+ "mean": 0.03463977172413416,
16
+ "stdev": 0.001843224769988702,
17
+ "p50": 0.03498452700000598,
18
+ "p90": 0.036115662200006685,
19
+ "p95": 0.03655359919998773,
20
+ "p99": 0.036731589599990004,
21
  "values": [
22
+ 0.03563756799997009,
23
+ 0.03554033599999684,
24
+ 0.03572528099999772,
25
+ 0.03482473899998695,
26
+ 0.0352656320000051,
27
+ 0.034991369000010764,
28
+ 0.03519440900004156,
29
+ 0.034824958000001516,
30
+ 0.034968736999985595,
31
+ 0.03470389200003865,
32
+ 0.03474972800000842,
33
+ 0.035279397000010704,
34
+ 0.03498452700000598,
35
+ 0.03484873299998981,
36
+ 0.03491746100002047,
37
+ 0.034666372000003776,
38
+ 0.0364454869999804,
39
+ 0.03569689900001549,
40
+ 0.035510088999956224,
41
+ 0.03603320600001325,
42
+ 0.03486565499997596,
43
+ 0.03581586999996489,
44
+ 0.036625673999992614,
45
+ 0.036772778999988986,
46
+ 0.034601658999974916,
47
+ 0.030703904999995757,
48
+ 0.030261446999986674,
49
+ 0.02988289000001032,
50
+ 0.030214680999961274
51
  ]
52
  },
53
  "throughput": {
54
  "unit": "samples/s",
55
+ "value": 28.86855051943895
56
  },
57
  "energy": {
58
  "unit": "kWh",
59
+ "cpu": 1.1788723444697834e-06,
60
+ "ram": 4.926668488904494e-08,
61
  "gpu": 0.0,
62
+ "total": 1.2281390293588283e-06
63
  },
64
  "efficiency": {
65
  "unit": "samples/kWh",
66
+ "value": 814240.0624806035
67
  }
68
  }
69
  }