IlyasMoutawwakil HF staff commited on
Commit
6aa8bd4
·
verified ·
1 Parent(s): ef65354

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": 970.05568,
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": 4.403778673999966,
15
- "mean": 4.403778673999966,
16
  "stdev": 0.0,
17
- "p50": 4.403778673999966,
18
- "p90": 4.403778673999966,
19
- "p95": 4.403778673999966,
20
- "p99": 4.403778673999966,
21
  "values": [
22
- 4.403778673999966
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 5.064747380000086e-05,
29
- "ram": 2.116831698796468e-06,
30
  "gpu": 0,
31
- "total": 5.2764305498797326e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 883.87584,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,54 +43,55 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 23,
47
- "total": 1.0135690040000327,
48
- "mean": 0.044068217565218816,
49
- "stdev": 0.0011577953188840321,
50
- "p50": 0.044606955999995535,
51
- "p90": 0.045084792999989534,
52
- "p95": 0.045347094400023026,
53
- "p99": 0.04564655642001526,
54
  "values": [
55
- 0.04099468499998693,
56
- 0.04295041999995419,
57
- 0.04243151800000078,
58
- 0.04468051400004924,
59
- 0.04488184100000581,
60
- 0.044626492000020335,
61
- 0.04319201300000941,
62
- 0.04233637900000531,
63
- 0.04288945700000113,
64
- 0.04469764599997461,
65
- 0.04459100600001875,
66
- 0.045052620999967985,
67
- 0.044606955999995535,
68
- 0.044290962999980366,
69
- 0.043961075000026995,
70
- 0.04470027000002119,
71
- 0.04391288499999746,
72
- 0.04470837600001687,
73
- 0.042796952999992754,
74
- 0.04508259699997552,
75
- 0.04572281700001213,
76
- 0.04537617800002636,
77
- 0.045085341999993034
 
78
  ]
79
  },
80
  "throughput": {
81
  "unit": "samples/s",
82
- "value": 22.692090927436507
83
  },
84
  "energy": {
85
  "unit": "kWh",
86
- "cpu": 1.518590175427393e-06,
87
- "ram": 6.346309715971277e-08,
88
  "gpu": 0.0,
89
- "total": 1.5820532725871056e-06
90
  },
91
  "efficiency": {
92
  "unit": "samples/kWh",
93
- "value": 632089.9664552487
94
  }
95
  }
96
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 968.2944,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.533542119999993,
15
+ "mean": 4.533542119999993,
16
  "stdev": 0.0,
17
+ "p50": 4.533542119999993,
18
+ "p90": 4.533542119999993,
19
+ "p95": 4.533542119999993,
20
+ "p99": 4.533542119999993,
21
  "values": [
22
+ 4.533542119999993
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 5.11622357555546e-05,
29
+ "ram": 2.1383204137310735e-06,
30
  "gpu": 0,
31
+ "total": 5.3300556169285676e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 882.028544,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 24,
47
+ "total": 1.0261652219999178,
48
+ "mean": 0.042756884249996574,
49
+ "stdev": 0.0027614837710822995,
50
+ "p50": 0.04232598849998226,
51
+ "p90": 0.04611224799998581,
52
+ "p95": 0.0466299354499597,
53
+ "p99": 0.04947235593001892,
54
  "values": [
55
+ 0.04669742299995505,
56
+ 0.04430764799997178,
57
+ 0.0433119060000422,
58
+ 0.04624750599998606,
59
+ 0.045183758999996826,
60
+ 0.044778076000000056,
61
+ 0.04385313099999166,
62
+ 0.04199162599996953,
63
+ 0.03951968499995928,
64
+ 0.039722583000013856,
65
+ 0.04196189100002812,
66
+ 0.050301232000038,
67
+ 0.041233513999998195,
68
+ 0.0440827780000177,
69
+ 0.04579664599998523,
70
+ 0.04266035099999499,
71
+ 0.04142476099997339,
72
+ 0.04079991800000471,
73
+ 0.04038502600002403,
74
+ 0.04041711600001463,
75
+ 0.03874032599998145,
76
+ 0.039082419000010304,
77
+ 0.04077902799997446,
78
+ 0.04288687299998628
79
  ]
80
  },
81
  "throughput": {
82
  "unit": "samples/s",
83
+ "value": 23.38804656936807
84
  },
85
  "energy": {
86
  "unit": "kWh",
87
+ "cpu": 1.5239276320512309e-06,
88
+ "ram": 6.368536091902725e-08,
89
  "gpu": 0.0,
90
+ "total": 1.5876129929702582e-06
91
  },
92
  "efficiency": {
93
  "unit": "samples/kWh",
94
+ "value": 629876.4273332787
95
  }
96
  }
97
  }