Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
58615b3
•
1 Parent(s): 6e4ecde

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": 939.204608,
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": 1.0003290999995897,
15
- "mean": 0.0454695045454359,
16
- "stdev": 0.002885494148258565,
17
- "p50": 0.04647965899994233,
18
- "p90": 0.04724339029994553,
19
- "p95": 0.04799552659998767,
20
- "p99": 0.04929054660003317,
21
  "values": [
22
- 0.049624350000044615,
23
- 0.0480348099999901,
24
- 0.04619613400006983,
25
- 0.04724914199994146,
26
- 0.046846158999983345,
27
- 0.04683418599995548,
28
- 0.04545650199997908,
29
- 0.047191624999982196,
30
- 0.04614087099992048,
31
- 0.04678968299992903,
32
- 0.04701454399992144,
33
- 0.04542609599991465,
34
- 0.04672186699997383,
35
- 0.0468783500000427,
36
- 0.04616784200004531,
37
- 0.04647761999990507,
38
- 0.04648169799997959,
39
- 0.046225980000031086,
40
- 0.04073575200004598,
41
- 0.03939774199989188,
42
- 0.03885540900000706,
43
- 0.03958273800003553
44
  ]
45
  },
46
  "throughput": {
47
  "unit": "samples/s",
48
- "value": 21.992762181974935
49
  },
50
  "energy": {
51
  "unit": "kWh",
52
- "cpu": 1.5300707939343576e-06,
53
- "ram": 6.394326589696238e-08,
54
  "gpu": 0.0,
55
- "total": 1.5940140598313198e-06
56
  },
57
  "efficiency": {
58
  "unit": "samples/kWh",
59
- "value": 627347.0386489696
60
  }
61
  }
62
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 939.655168,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 22,
14
+ "total": 1.030345885000031,
15
+ "mean": 0.046833903863637776,
16
+ "stdev": 0.002340658686673189,
17
+ "p50": 0.047744244000000435,
18
+ "p90": 0.04855750689999923,
19
+ "p95": 0.04894369570000521,
20
+ "p99": 0.049309559780014924,
21
  "values": [
22
+ 0.04851810400001,
23
+ 0.047810851999997794,
24
+ 0.04722437399999535,
25
+ 0.04790400500002079,
26
+ 0.04777836200000252,
27
+ 0.04785295100001008,
28
+ 0.047710125999998354,
29
+ 0.04856188499999803,
30
+ 0.049401473000017404,
31
+ 0.04795883699998171,
32
+ 0.04726033099998972,
33
+ 0.048963791000005585,
34
+ 0.046569449999992685,
35
+ 0.04783490700000925,
36
+ 0.047791034999988824,
37
+ 0.04675404299999286,
38
+ 0.04760327700000744,
39
+ 0.04705200500001183,
40
+ 0.045969202999998515,
41
+ 0.042091986000002635,
42
+ 0.04062506400001098,
43
+ 0.04110982399998875
44
  ]
45
  },
46
  "throughput": {
47
  "unit": "samples/s",
48
+ "value": 21.35205305352322
49
  },
50
  "energy": {
51
  "unit": "kWh",
52
+ "cpu": 1.5638883378770619e-06,
53
+ "ram": 6.53575700600868e-08,
54
  "gpu": 0.0,
55
+ "total": 1.6292459079371488e-06
56
  },
57
  "efficiency": {
58
  "unit": "samples/kWh",
59
+ "value": 613780.8879115975
60
  }
61
  }
62
  }