Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
c462d71
•
1 Parent(s): f540e45

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 -37
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": 939.58144,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -11,54 +11,54 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 24,
14
- "total": 1.0112450899999317,
15
- "mean": 0.04213521208333049,
16
- "stdev": 0.0003827302974367432,
17
- "p50": 0.04214596900001766,
18
- "p90": 0.04264053510001418,
19
- "p95": 0.042720467400013715,
20
- "p99": 0.04274309980998794,
21
  "values": [
22
- 0.04264568100001043,
23
- 0.0418195409999953,
24
- 0.04207022700001062,
25
- 0.041788983000003554,
26
- 0.04195227700000714,
27
- 0.04221710100000564,
28
- 0.042628528000022925,
29
- 0.042354879000015444,
30
- 0.04150041399998372,
31
- 0.04196430199999668,
32
- 0.04256689199996799,
33
- 0.0421407890000296,
34
- 0.04164412300002596,
35
- 0.04172007699997948,
36
- 0.0417002959999877,
37
- 0.04169901499994921,
38
- 0.04262500199996566,
39
- 0.0427336650000143,
40
- 0.04249553099998593,
41
- 0.042745917999980065,
42
- 0.042151149000005717,
43
- 0.04217875000000504,
44
- 0.04219296599995914,
45
- 0.04170898400002443
46
  ]
47
  },
48
  "throughput": {
49
  "unit": "samples/s",
50
- "value": 23.733118941523486
51
  },
52
  "energy": {
53
  "unit": "kWh",
54
- "cpu": 1.6095751126607259e-06,
55
- "ram": 6.726740482351943e-08,
56
  "gpu": 0.0,
57
- "total": 1.6768425174842455e-06
58
  },
59
  "efficiency": {
60
  "unit": "samples/kWh",
61
- "value": 596358.9243313634
62
  }
63
  }
64
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 939.216896,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 24,
14
+ "total": 1.0141399070001285,
15
+ "mean": 0.04225582945833869,
16
+ "stdev": 0.0009135129726387775,
17
+ "p50": 0.0420419564999861,
18
+ "p90": 0.042964944400040395,
19
+ "p95": 0.04329109960001176,
20
+ "p99": 0.04527258731999893,
21
  "values": [
22
+ 0.04245597999999973,
23
+ 0.04291501200003722,
24
+ 0.04255576500003144,
25
+ 0.042231933999971716,
26
+ 0.04200119600000107,
27
+ 0.0419489189999922,
28
+ 0.04261303200001976,
29
+ 0.04175353699997686,
30
+ 0.04159689499999786,
31
+ 0.042283009000016136,
32
+ 0.04183869500002402,
33
+ 0.04584839599999668,
34
+ 0.042986344000041754,
35
+ 0.04170609099998046,
36
+ 0.04141746200002672,
37
+ 0.04143089699999791,
38
+ 0.041871124000010695,
39
+ 0.04217910599999186,
40
+ 0.042082716999971126,
41
+ 0.041528578999987076,
42
+ 0.04131163700003526,
43
+ 0.04169398599998431,
44
+ 0.04334488000000647,
45
+ 0.042544714000030126
46
  ]
47
  },
48
  "throughput": {
49
  "unit": "samples/s",
50
+ "value": 23.665373815130774
51
  },
52
  "energy": {
53
  "unit": "kWh",
54
+ "cpu": 1.5796790122985842e-06,
55
+ "ram": 6.601759091952318e-08,
56
  "gpu": 0.0,
57
+ "total": 1.6456966032181072e-06
58
  },
59
  "efficiency": {
60
  "unit": "samples/kWh",
61
+ "value": 607645.4177790317
62
  }
63
  }
64
  }