Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
95c39d0
·
verified ·
1 Parent(s): 2b77012

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 +47 -46
cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 948.08064,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -11,31 +11,31 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 4.379276220999998,
15
- "mean": 4.379276220999998,
16
  "stdev": 0.0,
17
- "p50": 4.379276220999998,
18
- "p90": 4.379276220999998,
19
- "p95": 4.379276220999998,
20
- "p99": 4.379276220999998,
21
  "values": [
22
- 4.379276220999998
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.7618453127777925e-05,
29
- "ram": 1.9902185548066703e-06,
30
  "gpu": 0,
31
- "total": 4.9608671682584596e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 958.828544,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,52 +43,53 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 21,
47
- "total": 1.0044890569999438,
48
- "mean": 0.04783281223809256,
49
- "stdev": 0.0025005587633642468,
50
- "p50": 0.04799294299999701,
51
- "p90": 0.05028190500001983,
52
- "p95": 0.0510839930000202,
53
- "p99": 0.05114526740003385,
54
  "values": [
55
- 0.051160586000037256,
56
- 0.04981786299998703,
57
- 0.04946918799998912,
58
- 0.04935473299997284,
59
- 0.04736675499998455,
60
- 0.04799294299999701,
61
- 0.04821279599997297,
62
- 0.04937565199998062,
63
- 0.04893048500002806,
64
- 0.04737592300000415,
65
- 0.04708980499998461,
66
- 0.047714890000008836,
67
- 0.04881883600000947,
68
- 0.0510839930000202,
69
- 0.05028190500001983,
70
- 0.047524882999994134,
71
- 0.047930656000005456,
72
- 0.047092520999967746,
73
- 0.04453786199997012,
74
- 0.04074308000002702,
75
- 0.04261370199998282
 
76
  ]
77
  },
78
  "throughput": {
79
  "unit": "samples/s",
80
- "value": 20.906151096080258
81
  },
82
  "energy": {
83
  "unit": "kWh",
84
- "cpu": 1.7433050123188612e-06,
85
- "ram": 7.285579139739941e-08,
86
  "gpu": 0.0,
87
- "total": 1.8161608037162605e-06
88
  },
89
  "efficiency": {
90
  "unit": "samples/kWh",
91
- "value": 550612.0371906399
92
  }
93
  }
94
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 950.079488,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.358341526999993,
15
+ "mean": 4.358341526999993,
16
  "stdev": 0.0,
17
+ "p50": 4.358341526999993,
18
+ "p90": 4.358341526999993,
19
+ "p95": 4.358341526999993,
20
+ "p99": 4.358341526999993,
21
  "values": [
22
+ 4.358341526999993
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.806770348333266e-05,
29
+ "ram": 2.009001569957995e-06,
30
  "gpu": 0,
31
+ "total": 5.007670505329066e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 960.958464,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 22,
47
+ "total": 1.017345260000127,
48
+ "mean": 0.046242966363642134,
49
+ "stdev": 0.0007994199694567077,
50
+ "p50": 0.04622683250002524,
51
+ "p90": 0.04725386520000256,
52
+ "p95": 0.04738930834998598,
53
+ "p99": 0.04792967525998108,
54
  "values": [
55
+ 0.04645645300001888,
56
+ 0.04578199200000199,
57
+ 0.0447904929999936,
58
+ 0.047395876999985376,
59
+ 0.04653534099998069,
60
+ 0.04631833700000243,
61
+ 0.04540583399995057,
62
+ 0.04532839000000877,
63
+ 0.046052674999998544,
64
+ 0.04715811600004827,
65
+ 0.04623331900000949,
66
+ 0.04692396100000451,
67
+ 0.044898263000050065,
68
+ 0.04807157099997994,
69
+ 0.04603639399999793,
70
+ 0.04726450399999749,
71
+ 0.04622034600004099,
72
+ 0.046136831000012535,
73
+ 0.04524228100001437,
74
+ 0.04653504999998859,
75
+ 0.04611036200003582,
76
+ 0.04644887000000608
77
  ]
78
  },
79
  "throughput": {
80
  "unit": "samples/s",
81
+ "value": 21.624910308224422
82
  },
83
  "energy": {
84
  "unit": "kWh",
85
+ "cpu": 1.5671067268888997e-06,
86
+ "ram": 6.549230366460167e-08,
87
  "gpu": 0.0,
88
+ "total": 1.6325990305535014e-06
89
  },
90
  "efficiency": {
91
  "unit": "samples/kWh",
92
+ "value": 612520.2706147444
93
  }
94
  }
95
  }