IlyasMoutawwakil HF staff commited on
Commit
1355483
1 Parent(s): 6b94853

Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_report.json with huggingface_hub

Browse files
cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 968.450048,
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": 4.337003717000016,
15
- "mean": 4.337003717000016,
16
  "stdev": 0.0,
17
- "p50": 4.337003717000016,
18
- "p90": 4.337003717000016,
19
- "p95": 4.337003717000016,
20
- "p99": 4.337003717000016,
21
  "values": [
22
- 4.337003717000016
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 5.097099968333289e-05,
29
- "ram": 2.130367390593523e-06,
30
  "gpu": 0,
31
- "total": 5.310136707392641e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 882.106368,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,54 +43,53 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 23,
47
- "total": 1.0021111849999897,
48
- "mean": 0.043570051521738686,
49
- "stdev": 0.0008652380342835808,
50
- "p50": 0.04357421499997827,
51
- "p90": 0.04466211339998836,
52
- "p95": 0.04483766920004086,
53
- "p99": 0.04506879840000806,
54
  "values": [
55
- 0.04352692999998453,
56
- 0.04287817299996277,
57
- 0.0420424399999888,
58
- 0.04396289800001796,
59
- 0.04357421499997827,
60
- 0.04362723299999516,
61
- 0.04355017000000316,
62
- 0.042585567000003266,
63
- 0.04189831100001129,
64
- 0.04485103800004708,
65
- 0.04428544700004977,
66
- 0.04344919199996866,
67
- 0.043742307000002256,
68
- 0.04265653900000643,
69
- 0.044408264999958647,
70
- 0.04425989999998592,
71
- 0.04471734999998489,
72
- 0.04300192200003039,
73
- 0.04299375600004396,
74
- 0.04258540699999003,
75
- 0.044441167000002224,
76
- 0.04513021799999706,
77
- 0.04394273999997722
78
  ]
79
  },
80
  "throughput": {
81
  "unit": "samples/s",
82
- "value": 22.951545042379937
83
  },
84
  "energy": {
85
  "unit": "kWh",
86
- "cpu": 1.49332051296292e-06,
87
- "ram": 6.240866180246791e-08,
88
  "gpu": 0.0,
89
- "total": 1.555729174765388e-06
90
  },
91
  "efficiency": {
92
  "unit": "samples/kWh",
93
- "value": 642785.4000686238
94
  }
95
  }
96
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 968.62208,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.573647785999981,
15
+ "mean": 4.573647785999981,
16
  "stdev": 0.0,
17
+ "p50": 4.573647785999981,
18
+ "p90": 4.573647785999981,
19
+ "p95": 4.573647785999981,
20
+ "p99": 4.573647785999981,
21
  "values": [
22
+ 4.573647785999981
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 5.1032396372222407e-05,
29
+ "ram": 2.132905297040679e-06,
30
  "gpu": 0,
31
+ "total": 5.316530166926309e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 882.495488,
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": 1.0332965479998961,
48
+ "mean": 0.046968024909086185,
49
+ "stdev": 0.0015002287688685376,
50
+ "p50": 0.04699617299996817,
51
+ "p90": 0.04871646720001195,
52
+ "p95": 0.0493324146499873,
53
+ "p99": 0.0498737270700309,
54
  "values": [
55
+ 0.04609001799997259,
56
+ 0.04625550700001213,
57
+ 0.043648164999979144,
58
+ 0.046643971000037254,
59
+ 0.04640163900000971,
60
+ 0.0462295289999588,
61
+ 0.04560233799998059,
62
+ 0.04637327599999708,
63
+ 0.04701709699997991,
64
+ 0.04936399299998584,
65
+ 0.04717697199998838,
66
+ 0.04698603899998943,
67
+ 0.04770009999998592,
68
+ 0.04628930000001219,
69
+ 0.047508353000011994,
70
+ 0.05000922600004287,
71
+ 0.048037980999993124,
72
+ 0.04873242600001504,
73
+ 0.04857283799998413,
74
+ 0.0478574939999703,
75
+ 0.0470063069999469,
76
+ 0.04379397900004278
 
77
  ]
78
  },
79
  "throughput": {
80
  "unit": "samples/s",
81
+ "value": 21.291080515641298
82
  },
83
  "energy": {
84
  "unit": "kWh",
85
+ "cpu": 1.5954437286666867e-06,
86
+ "ram": 6.667433916961982e-08,
87
  "gpu": 0.0,
88
+ "total": 1.6621180678363067e-06
89
  },
90
  "efficiency": {
91
  "unit": "samples/kWh",
92
+ "value": 601641.9767951675
93
  }
94
  }
95
  }