Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
b2b738f
•
1 Parent(s): a3cc3df

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 +35 -35
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": 941.469696,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -11,52 +11,52 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 22,
14
- "total": 1.0372305809999602,
15
- "mean": 0.04714684459090728,
16
- "stdev": 0.0008760700740009744,
17
- "p50": 0.047318033500005185,
18
- "p90": 0.04821873130002814,
19
- "p95": 0.048269725000011476,
20
- "p99": 0.04835409155000036,
21
  "values": [
22
- 0.04794000699996559,
23
- 0.04589030099998581,
24
- 0.047139305999962744,
25
- 0.04570181000002549,
26
- 0.04837608799999771,
27
- 0.04717306899999585,
28
- 0.04715425300003062,
29
- 0.04744046700000126,
30
- 0.04527589799999987,
31
- 0.04827134300001035,
32
- 0.04775491099996998,
33
- 0.04728400499999452,
34
- 0.04758518500000264,
35
- 0.04823898300003293,
36
- 0.046531235000031756,
37
- 0.04803646599998501,
38
- 0.047811807000016415,
39
- 0.04735206200001585,
40
- 0.046234561999995094,
41
- 0.04747720500000696,
42
- 0.04670286299995041,
43
- 0.045858754999983375
44
  ]
45
  },
46
  "throughput": {
47
  "unit": "samples/s",
48
- "value": 21.210327195319017
49
  },
50
  "energy": {
51
  "unit": "kWh",
52
- "cpu": 1.5567104551527236e-06,
53
- "ram": 6.505549541229812e-08,
54
  "gpu": 0.0,
55
- "total": 1.6217659505650218e-06
56
  },
57
  "efficiency": {
58
  "unit": "samples/kWh",
59
- "value": 616611.786461296
60
  }
61
  }
62
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 943.747072,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 22,
14
+ "total": 1.0418916930001387,
15
+ "mean": 0.047358713318188125,
16
+ "stdev": 0.002680481147304117,
17
+ "p50": 0.04864830250002683,
18
+ "p90": 0.050395924100013194,
19
+ "p95": 0.0506211286499962,
20
+ "p99": 0.051563895919994704,
21
  "values": [
22
+ 0.045649862999994184,
23
+ 0.04479804100003548,
24
+ 0.0440589600000294,
25
+ 0.043185256000015215,
26
+ 0.04320795899997165,
27
+ 0.04458477200000743,
28
+ 0.04361328700002787,
29
+ 0.0434766550000063,
30
+ 0.04855770800003256,
31
+ 0.04898458700000674,
32
+ 0.05181204199999456,
33
+ 0.04879697600000554,
34
+ 0.04813840599996411,
35
+ 0.04726090499997326,
36
+ 0.050445087000014155,
37
+ 0.0487388970000211,
38
+ 0.05063039399999525,
39
+ 0.0499534580000045,
40
+ 0.04899031700000478,
41
+ 0.04889968800000588,
42
+ 0.04912978900000553,
43
+ 0.04897864600002322
44
  ]
45
  },
46
  "throughput": {
47
  "unit": "samples/s",
48
+ "value": 21.1154385314761
49
  },
50
  "energy": {
51
  "unit": "kWh",
52
+ "cpu": 1.694154278667653e-06,
53
+ "ram": 7.080127029553295e-08,
54
  "gpu": 0.0,
55
+ "total": 1.7649555489631857e-06
56
  },
57
  "efficiency": {
58
  "unit": "samples/kWh",
59
+ "value": 566586.5072848124
60
  }
61
  }
62
  }