Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
1173988
•
1 Parent(s): 6bf55a8

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 -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": 942.436352,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -10,53 +10,54 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 22,
14
- "total": 1.0072202059999427,
15
- "mean": 0.04578273663636103,
16
- "stdev": 0.0008903932466271372,
17
- "p50": 0.04578235799999675,
18
- "p90": 0.04661739459999126,
19
- "p95": 0.04693155195000145,
20
- "p99": 0.047726396840027975,
21
  "values": [
22
- 0.04793333000003486,
23
- 0.04568481100000099,
24
- 0.045879904999992505,
25
- 0.044394566999983454,
26
- 0.04694793400000208,
27
- 0.045520935000013196,
28
- 0.04500117700001738,
29
- 0.04621257399998058,
30
- 0.04394843599999376,
31
- 0.046591309000007186,
32
- 0.04662029299998949,
33
- 0.04530858900000112,
34
- 0.0460897450000175,
35
- 0.046404492000021946,
36
- 0.04599424700001009,
37
- 0.04622618899998088,
38
- 0.046380016000000523,
39
- 0.045587168999986716,
40
- 0.04436900899997909,
41
- 0.04561797599995998,
42
- 0.04522837999996909,
43
- 0.045279123000000254
 
44
  ]
45
  },
46
  "throughput": {
47
  "unit": "samples/s",
48
- "value": 21.842294136820815
49
  },
50
  "energy": {
51
  "unit": "kWh",
52
- "cpu": 1.5607952541775172e-06,
53
- "ram": 6.522521437343206e-08,
54
  "gpu": 0.0,
55
- "total": 1.6260204685509495e-06
56
  },
57
  "efficiency": {
58
  "unit": "samples/kWh",
59
- "value": 614998.4082864367
60
  }
61
  }
62
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 942.67392,
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": 1.034953019000227,
15
+ "mean": 0.04499795734783595,
16
+ "stdev": 0.002307105601049432,
17
+ "p50": 0.04555749899998318,
18
+ "p90": 0.04679012500002955,
19
+ "p95": 0.046906380199948215,
20
+ "p99": 0.04770027947991821,
21
  "values": [
22
+ 0.046914845999936006,
23
+ 0.045786116000044785,
24
+ 0.04644115100006729,
25
+ 0.04419889000007515,
26
+ 0.046830188000058115,
27
+ 0.04622138000001996,
28
+ 0.04574293600001056,
29
+ 0.04595591300005708,
30
+ 0.04380824000008943,
31
+ 0.04662987299991528,
32
+ 0.04627048100007869,
33
+ 0.04531911399999444,
34
+ 0.04792181199991319,
35
+ 0.04550228599998718,
36
+ 0.045132003999924564,
37
+ 0.04549436100001003,
38
+ 0.04605214299999716,
39
+ 0.04555749899998318,
40
+ 0.04514051000001018,
41
+ 0.045376411000006556,
42
+ 0.0411113769999929,
43
+ 0.038846066000019164,
44
+ 0.038699422000036066
45
  ]
46
  },
47
  "throughput": {
48
  "unit": "samples/s",
49
+ "value": 22.223230985130307
50
  },
51
  "energy": {
52
  "unit": "kWh",
53
+ "cpu": 1.5180191932580411e-06,
54
+ "ram": 6.344110925799494e-08,
55
  "gpu": 0.0,
56
+ "total": 1.5814603025160362e-06
57
  },
58
  "efficiency": {
59
  "unit": "samples/kWh",
60
+ "value": 632326.9691999492
61
  }
62
  }
63
  }