IlyasMoutawwakil HF staff commited on
Commit
62f678a
1 Parent(s): 4eb9b49

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": 965.89824,
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": 4.569726193000008,
15
- "mean": 4.569726193000008,
16
  "stdev": 0.0,
17
- "p50": 4.569726193000008,
18
- "p90": 4.569726193000008,
19
- "p95": 4.569726193000008,
20
- "p99": 4.569726193000008,
21
  "values": [
22
- 4.569726193000008
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 5.485757324430678e-05,
29
- "ram": 2.2928256024056278e-06,
30
  "gpu": 0,
31
- "total": 5.7150398846712405e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 879.783936,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,55 +43,54 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 24,
47
- "total": 1.0299640100000715,
48
- "mean": 0.042915167083336314,
49
- "stdev": 0.0026703295829428333,
50
- "p50": 0.041782966499994245,
51
- "p90": 0.04696770679997257,
52
- "p95": 0.04812250095000365,
53
- "p99": 0.050102585320022965,
54
  "values": [
55
- 0.047665126999959284,
56
- 0.0506699300000264,
57
- 0.048203214000011485,
58
- 0.04336649600003284,
59
- 0.04440513600002305,
60
- 0.04075524600000335,
61
- 0.0445344579999869,
62
- 0.041503283999986706,
63
- 0.04181925500000716,
64
- 0.04110969800001385,
65
- 0.04069249899998795,
66
- 0.041090372999974534,
67
- 0.04059926500002575,
68
- 0.04071615399999473,
69
- 0.04174667799998133,
70
- 0.04309089100001984,
71
- 0.04345724400002382,
72
- 0.0412244229999601,
73
- 0.04218262300003062,
74
- 0.043360784000014974,
75
- 0.0411761130000059,
76
- 0.04534039300000359,
77
- 0.041395964000003005,
78
- 0.039858761999994385
79
  ]
80
  },
81
  "throughput": {
82
  "unit": "samples/s",
83
- "value": 23.30178507887701
84
  },
85
  "energy": {
86
  "unit": "kWh",
87
- "cpu": 1.6104218165079754e-06,
88
- "ram": 6.730163408033148e-08,
89
  "gpu": 0.0,
90
- "total": 1.677723450588307e-06
91
  },
92
  "efficiency": {
93
  "unit": "samples/kWh",
94
- "value": 596045.7902935923
95
  }
96
  }
97
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 966.070272,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.299857883000016,
15
+ "mean": 4.299857883000016,
16
  "stdev": 0.0,
17
+ "p50": 4.299857883000016,
18
+ "p90": 4.299857883000016,
19
+ "p95": 4.299857883000016,
20
+ "p99": 4.299857883000016,
21
  "values": [
22
+ 4.299857883000016
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 5.038513739903768e-05,
29
+ "ram": 2.1058805808945637e-06,
30
  "gpu": 0,
31
+ "total": 5.249101797993225e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 879.98464,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 23,
47
+ "total": 1.0157950860000824,
48
+ "mean": 0.04416500373913402,
49
+ "stdev": 0.0010018890951548859,
50
+ "p50": 0.044256098000005295,
51
+ "p90": 0.04543262779998258,
52
+ "p95": 0.04546320659998741,
53
+ "p99": 0.04599184085999923,
54
  "values": [
55
+ 0.04406760700004497,
56
+ 0.044408042000043224,
57
+ 0.042759620000026644,
58
+ 0.045465584999988096,
59
+ 0.04382597099998975,
60
+ 0.04377622800001291,
61
+ 0.044490026999994825,
62
+ 0.043352533000017957,
63
+ 0.043343907000007675,
64
+ 0.04518156299997145,
65
+ 0.04402121699996542,
66
+ 0.044070309000005636,
67
+ 0.04449001599999747,
68
+ 0.04441329299999097,
69
+ 0.043124874999989515,
70
+ 0.04440564800000857,
71
+ 0.04539593499998773,
72
+ 0.044256098000005295,
73
+ 0.043336112000019966,
74
+ 0.04614027200000237,
75
+ 0.0454418009999813,
76
+ 0.04457699900001444,
77
+ 0.04145142800001622
 
78
  ]
79
  },
80
  "throughput": {
81
  "unit": "samples/s",
82
+ "value": 22.642361945820767
83
  },
84
  "energy": {
85
  "unit": "kWh",
86
+ "cpu": 1.5410996400392974e-06,
87
+ "ram": 6.440410990347363e-08,
88
  "gpu": 0.0,
89
+ "total": 1.605503749942771e-06
90
  },
91
  "efficiency": {
92
  "unit": "samples/kWh",
93
+ "value": 622857.4676550245
94
  }
95
  }
96
  }