IlyasMoutawwakil HF staff commited on
Commit
6c3369f
·
verified ·
1 Parent(s): 650ef65

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": 968.585216,
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": 4.380670553000016,
15
- "mean": 4.380670553000016,
16
  "stdev": 0.0,
17
- "p50": 4.380670553000016,
18
- "p90": 4.380670553000016,
19
- "p95": 4.380670553000016,
20
- "p99": 4.380670553000016,
21
  "values": [
22
- 4.380670553000016
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 5.029765424444529e-05,
29
- "ram": 2.1022198240158034e-06,
30
  "gpu": 0,
31
- "total": 5.2399874068461094e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 882.491392,
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": 1.0083715319999271,
48
- "mean": 0.043842240521735965,
49
- "stdev": 0.0007256936041930176,
50
- "p50": 0.043936277000000246,
51
- "p90": 0.044865642399997796,
52
- "p95": 0.04495749599998931,
53
- "p99": 0.0449836596399831,
54
  "values": [
55
- 0.044110160999991876,
56
- 0.04354854599998248,
57
- 0.04311941800000341,
58
- 0.044963427999988426,
59
- 0.04490410799999722,
60
- 0.04471178000000009,
61
- 0.04328343299999915,
62
- 0.04408454399998618,
63
- 0.042336181999985456,
64
- 0.04470402500001569,
65
- 0.04324908999998911,
66
- 0.04419276499999114,
67
- 0.043190890999994735,
68
- 0.04327104000000759,
69
- 0.04361550199999442,
70
- 0.043936277000000246,
71
- 0.043987281999989136,
72
- 0.04387738799999852,
73
- 0.04274265800000876,
74
- 0.04301334100000531,
75
- 0.044161977000015895,
76
- 0.0449893659999816,
77
- 0.04437833000000069
78
  ]
79
  },
80
  "throughput": {
81
  "unit": "samples/s",
82
- "value": 22.809053280573632
83
  },
84
  "energy": {
85
  "unit": "kWh",
86
- "cpu": 1.4972303335470226e-06,
87
- "ram": 6.257086255937388e-08,
88
  "gpu": 0.0,
89
- "total": 1.5598011961063966e-06
90
  },
91
  "efficiency": {
92
  "unit": "samples/kWh",
93
- "value": 641107.3427153523
94
  }
95
  }
96
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 968.68352,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.385114865000048,
15
+ "mean": 4.385114865000048,
16
  "stdev": 0.0,
17
+ "p50": 4.385114865000048,
18
+ "p90": 4.385114865000048,
19
+ "p95": 4.385114865000048,
20
+ "p99": 4.385114865000048,
21
  "values": [
22
+ 4.385114865000048
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 5.122605047777775e-05,
29
+ "ram": 2.14102194057146e-06,
30
  "gpu": 0,
31
+ "total": 5.336707241834921e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 882.46272,
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": 1.0057468339998081,
48
+ "mean": 0.04571576518180946,
49
+ "stdev": 0.002385816843960501,
50
+ "p50": 0.04634302499999876,
51
+ "p90": 0.04820529590001001,
52
+ "p95": 0.04832088995000276,
53
+ "p99": 0.04906698486999346,
54
  "values": [
55
+ 0.04543586699998059,
56
+ 0.0471806840000113,
57
+ 0.044715721999978086,
58
+ 0.046459788999982266,
59
+ 0.046846920999996655,
60
+ 0.04824927800001433,
61
+ 0.045076505999986693,
62
+ 0.04422647000001234,
63
+ 0.04556925599996475,
64
+ 0.04926431199999115,
65
+ 0.04722777199998518,
66
+ 0.047130488999982845,
67
+ 0.045998285999985455,
68
+ 0.04832465900000216,
69
+ 0.046226261000015256,
70
+ 0.0476850249999643,
71
+ 0.046988505000001624,
72
+ 0.04780945699997119,
73
+ 0.041782146999992165,
74
+ 0.04097230600001467,
75
+ 0.04118754699999272,
76
+ 0.041389574999982415
 
77
  ]
78
  },
79
  "throughput": {
80
  "unit": "samples/s",
81
+ "value": 21.874292074584048
82
  },
83
  "energy": {
84
  "unit": "kWh",
85
+ "cpu": 1.630647235648113e-06,
86
+ "ram": 6.814258479331343e-08,
87
  "gpu": 0.0,
88
+ "total": 1.6987898204414266e-06
89
  },
90
  "efficiency": {
91
  "unit": "samples/kWh",
92
+ "value": 588654.3396758478
93
  }
94
  }
95
  }