Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
502f92c
•
1 Parent(s): 912a8d6

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 +37 -33
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": 938.889216,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -10,50 +10,54 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 19,
14
- "total": 1.0171150740000598,
15
- "mean": 0.05353237231579262,
16
- "stdev": 0.006943772900594698,
17
- "p50": 0.05030503200003977,
18
- "p90": 0.06731083500000068,
19
- "p95": 0.06804841439999905,
20
- "p99": 0.0681197188800104,
21
  "values": [
22
- 0.06025325199999543,
23
- 0.06803851099999747,
24
- 0.06813754500001323,
25
- 0.05531947700001183,
26
- 0.05509470799995597,
27
- 0.05141215500003682,
28
- 0.04952682199996161,
29
- 0.04646459399998548,
30
- 0.051104552000026615,
31
- 0.04980173400002741,
32
- 0.05016580200003773,
33
- 0.05030503200003977,
34
- 0.048852253999996265,
35
- 0.04968987600000219,
36
- 0.06712891600000148,
37
- 0.04967644099997415,
38
- 0.0522992979999799,
39
- 0.04547475999999051,
40
- 0.04836934500002599
 
 
 
 
41
  ]
42
  },
43
  "throughput": {
44
  "unit": "samples/s",
45
- "value": 18.68028553079814
46
  },
47
  "energy": {
48
  "unit": "kWh",
49
- "cpu": 1.5859608650207523e-06,
50
- "ram": 6.628000725875154e-08,
51
  "gpu": 0.0,
52
- "total": 1.6522408722795038e-06
53
  },
54
  "efficiency": {
55
  "unit": "samples/kWh",
56
- "value": 605238.6288086169
57
  }
58
  }
59
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 938.958848,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 23,
14
+ "total": 1.032958348000136,
15
+ "mean": 0.044911232521745045,
16
+ "stdev": 0.0027937823044942604,
17
+ "p50": 0.0459986919999551,
18
+ "p90": 0.04677506860001586,
19
+ "p95": 0.04738425579996601,
20
+ "p99": 0.04817975731998104,
21
  "values": [
22
+ 0.04745186599996032,
23
+ 0.046513284000013755,
24
+ 0.04664661200001774,
25
+ 0.04677576400001726,
26
+ 0.04838505999998688,
27
+ 0.04609447199999295,
28
+ 0.045602460999987215,
29
+ 0.04655668400005197,
30
+ 0.046300174999998944,
31
+ 0.0457098229999815,
32
+ 0.04553813199999013,
33
+ 0.04677228700001024,
34
+ 0.045263267999985146,
35
+ 0.046377279000012095,
36
+ 0.04612579000001915,
37
+ 0.045030324000038036,
38
+ 0.0459986919999551,
39
+ 0.04546000600004163,
40
+ 0.0438981470000499,
41
+ 0.03952730399998927,
42
+ 0.03893196199999238,
43
+ 0.03888610699999617,
44
+ 0.0391128490000483
45
  ]
46
  },
47
  "throughput": {
48
  "unit": "samples/s",
49
+ "value": 22.266144655812365
50
  },
51
  "energy": {
52
  "unit": "kWh",
53
+ "cpu": 1.5544200554872173e-06,
54
+ "ram": 6.496215498784225e-08,
55
  "gpu": 0.0,
56
+ "total": 1.6193822104750594e-06
57
  },
58
  "efficiency": {
59
  "unit": "samples/kWh",
60
+ "value": 617519.4426191958
61
  }
62
  }
63
  }