Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
f42b2b7
•
1 Parent(s): 47fcaa1

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 +38 -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": 940.158976,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -10,53 +10,55 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 22,
14
- "total": 1.0221214099999543,
15
- "mean": 0.04646006409090701,
16
- "stdev": 0.00307194651322619,
17
- "p50": 0.047473979500011865,
18
- "p90": 0.048771257499993226,
19
- "p95": 0.0492678234499607,
20
- "p99": 0.05025819809996733,
21
  "values": [
22
- 0.05051479499996958,
23
- 0.048591108999971766,
24
- 0.04757033499998897,
25
- 0.049292904999958864,
26
- 0.04737762400003476,
27
- 0.04804061699996964,
28
- 0.04589986400003454,
29
- 0.04879127399999561,
30
- 0.048118443000021216,
31
- 0.048033985000017765,
32
- 0.04829099599999154,
33
- 0.047251538000011806,
34
- 0.04709436299998515,
35
- 0.04783470099999931,
36
- 0.047895885000002636,
37
- 0.047307773,
38
- 0.046759626000039134,
39
- 0.04639914099999487,
40
- 0.04076937600001429,
41
- 0.04014425499997287,
42
- 0.04001080400001911,
43
- 0.04013200099996084
 
 
44
  ]
45
  },
46
  "throughput": {
47
  "unit": "samples/s",
48
- "value": 21.523861827726495
49
  },
50
  "energy": {
51
  "unit": "kWh",
52
- "cpu": 1.6129671202765571e-06,
53
- "ram": 6.740891937956803e-08,
54
  "gpu": 0.0,
55
- "total": 1.680376039656125e-06
56
  },
57
  "efficiency": {
58
  "unit": "samples/kWh",
59
- "value": 595104.8910484595
60
  }
61
  }
62
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 940.224512,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 24,
14
+ "total": 1.002178846999982,
15
+ "mean": 0.04175745195833258,
16
+ "stdev": 0.0024072203492112466,
17
+ "p50": 0.040595760999991626,
18
+ "p90": 0.04619594190000385,
19
+ "p95": 0.04656686894998643,
20
+ "p99": 0.04693666874001593,
21
  "values": [
22
+ 0.040718163999997614,
23
+ 0.04075360000001638,
24
+ 0.040562773999994306,
25
+ 0.040545672999996896,
26
+ 0.0401632989999996,
27
+ 0.0400997899999993,
28
+ 0.03984096899998235,
29
+ 0.03989334600001371,
30
+ 0.04009529199998951,
31
+ 0.040628747999988946,
32
+ 0.04232462999999598,
33
+ 0.04016376000001287,
34
+ 0.04129198400002565,
35
+ 0.04133614699998134,
36
+ 0.04056064900001388,
37
+ 0.04471263399997838,
38
+ 0.0459473950000131,
39
+ 0.047033191000025454,
40
+ 0.046613528999984055,
41
+ 0.04630246199999988,
42
+ 0.04331350399999678,
43
+ 0.03951679400000785,
44
+ 0.04007705799998007,
45
+ 0.039683454999988044
46
  ]
47
  },
48
  "throughput": {
49
  "unit": "samples/s",
50
+ "value": 23.94782136127089
51
  },
52
  "energy": {
53
  "unit": "kWh",
54
+ "cpu": 1.5722363260057238e-06,
55
+ "ram": 6.570593579440356e-08,
56
  "gpu": 0.0,
57
+ "total": 1.6379422618001276e-06
58
  },
59
  "efficiency": {
60
  "unit": "samples/kWh",
61
+ "value": 610522.1309211366
62
  }
63
  }
64
  }