IlyasMoutawwakil HF staff commited on
Commit
d166f4d
1 Parent(s): 9f42131

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": 968.773632,
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": 4.447118796000041,
15
- "mean": 4.447118796000041,
16
  "stdev": 0.0,
17
- "p50": 4.447118796000041,
18
- "p90": 4.447118796000041,
19
- "p95": 4.447118796000041,
20
- "p99": 4.447118796000041,
21
  "values": [
22
- 4.447118796000041
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 5.1054752311111745e-05,
29
- "ram": 2.133873489608617e-06,
30
  "gpu": 0,
31
- "total": 5.318862580072036e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 882.593792,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,54 +43,57 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 23,
47
- "total": 1.0231097969999041,
48
- "mean": 0.044483034652169746,
49
- "stdev": 0.0013285403869168673,
50
- "p50": 0.04439100700000154,
51
- "p90": 0.04609438559997443,
52
- "p95": 0.04630867539999599,
53
- "p99": 0.0468634517200394,
54
  "values": [
55
- 0.046326012999998056,
56
- 0.04439100700000154,
57
- 0.04365974400002415,
58
- 0.0461526369999774,
59
- 0.04525151399997185,
60
- 0.044734914000002846,
61
- 0.04389211999995268,
62
- 0.0427805119999789,
63
- 0.04397305200001256,
64
- 0.04701503700005105,
65
- 0.04488123799995947,
66
- 0.04560749299997724,
67
- 0.04415465300002097,
68
- 0.045372160999988864,
69
- 0.04375711599999477,
70
- 0.04488720900002363,
71
- 0.04405621899996959,
72
- 0.04348485499997423,
73
- 0.043680322999989585,
74
- 0.04088701400002037,
75
- 0.04542986900003143,
76
- 0.042873717000020406,
77
- 0.04586137999996254
 
 
 
78
  ]
79
  },
80
  "throughput": {
81
  "unit": "samples/s",
82
- "value": 22.480480655589066
83
  },
84
  "energy": {
85
  "unit": "kWh",
86
- "cpu": 1.5912511502221807e-06,
87
- "ram": 6.650104755375812e-08,
88
  "gpu": 0.0,
89
- "total": 1.6577521977759389e-06
90
  },
91
  "efficiency": {
92
  "unit": "samples/kWh",
93
- "value": 603226.4661398806
94
  }
95
  }
96
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 970.5472,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.28281407999998,
15
+ "mean": 4.28281407999998,
16
  "stdev": 0.0,
17
+ "p50": 4.28281407999998,
18
+ "p90": 4.28281407999998,
19
+ "p95": 4.28281407999998,
20
+ "p99": 4.28281407999998,
21
  "values": [
22
+ 4.28281407999998
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 5.0212701116665755e-05,
29
+ "ram": 2.098666912030178e-06,
30
  "gpu": 0,
31
+ "total": 5.231136802869593e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 884.215808,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 26,
47
+ "total": 1.0341205529999797,
48
+ "mean": 0.03977386742307614,
49
+ "stdev": 0.0018043403859112313,
50
+ "p50": 0.03924061650002386,
51
+ "p90": 0.04318336549999913,
52
+ "p95": 0.04360114999998643,
53
+ "p99": 0.04437285599996699,
54
  "values": [
55
+ 0.04462695999995958,
56
+ 0.043610543999989204,
57
+ 0.04357296799997812,
58
+ 0.039478532000032374,
59
+ 0.03860093599996617,
60
+ 0.03871390000000474,
61
+ 0.0392947849999814,
62
+ 0.03817620600000282,
63
+ 0.03883208199999899,
64
+ 0.039005660999976044,
65
+ 0.03921898999999485,
66
+ 0.03926224300005288,
67
+ 0.039563240999996196,
68
+ 0.0404049389999841,
69
+ 0.03926302500002521,
70
+ 0.038998456000001624,
71
+ 0.03909311500001422,
72
+ 0.039568309999992834,
73
+ 0.03900799599995253,
74
+ 0.04091287599999305,
75
+ 0.0396470790000194,
76
+ 0.038668213999983436,
77
+ 0.042793763000020135,
78
+ 0.038368528000034985,
79
+ 0.03787629900000411,
80
+ 0.03756090500002074
81
  ]
82
  },
83
  "throughput": {
84
  "unit": "samples/s",
85
+ "value": 25.142136402350868
86
  },
87
  "energy": {
88
  "unit": "kWh",
89
+ "cpu": 1.4739706621398867e-06,
90
+ "ram": 6.159952906234989e-08,
91
  "gpu": 0.0,
92
+ "total": 1.5355701912022367e-06
93
  },
94
  "efficiency": {
95
  "unit": "samples/kWh",
96
+ "value": 651223.8943744244
97
  }
98
  }
99
  }