IlyasMoutawwakil HF staff commited on
Commit
a4dc160
1 Parent(s): 0334c63

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": 971.771904,
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": 4.466098046000013,
15
- "mean": 4.466098046000013,
16
  "stdev": 0.0,
17
- "p50": 4.466098046000013,
18
- "p90": 4.466098046000013,
19
- "p95": 4.466098046000013,
20
- "p99": 4.466098046000013,
21
  "values": [
22
- 4.466098046000013
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 5.051700141694811e-05,
29
- "ram": 2.1113874794912133e-06,
30
  "gpu": 0,
31
- "total": 5.262838889643933e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 885.604352,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -44,53 +44,53 @@
44
  "latency": {
45
  "unit": "s",
46
  "count": 23,
47
- "total": 1.0061736469999687,
48
- "mean": 0.04374668030434647,
49
- "stdev": 0.0009217116953345735,
50
- "p50": 0.04393700399998579,
51
- "p90": 0.04493450579998352,
52
- "p95": 0.045077160400006734,
53
- "p99": 0.04511896546003072,
54
  "values": [
55
- 0.04462851800002454,
56
- 0.04360456599999907,
57
- 0.042251622999970095,
58
- 0.04363332000002629,
59
- 0.04470616100002189,
60
- 0.04393700399998579,
61
- 0.04400824599997577,
62
- 0.04245436000002201,
63
- 0.041621242999951846,
64
- 0.044233163999990666,
65
- 0.04403807099998858,
66
- 0.043932745000006435,
67
- 0.04360280200000943,
68
- 0.04246838699998534,
69
- 0.04508666800001038,
70
- 0.043591450999997505,
71
- 0.04422572900000432,
72
- 0.04398561300001802,
73
- 0.044099053999957505,
74
- 0.04253484999998136,
75
- 0.04341040500003146,
76
- 0.044991591999973934,
77
- 0.04512807500003646
78
  ]
79
  },
80
  "throughput": {
81
  "unit": "samples/s",
82
- "value": 22.85887736036155
83
  },
84
  "energy": {
85
  "unit": "kWh",
86
- "cpu": 1.524138960063967e-06,
87
- "ram": 6.36960549543521e-08,
88
  "gpu": 0.0,
89
- "total": 1.587835015018319e-06
90
  },
91
  "efficiency": {
92
  "unit": "samples/kWh",
93
- "value": 629788.3536649826
94
  }
95
  }
96
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 971.444224,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.455775667000012,
15
+ "mean": 4.455775667000012,
16
  "stdev": 0.0,
17
+ "p50": 4.455775667000012,
18
+ "p90": 4.455775667000012,
19
+ "p95": 4.455775667000012,
20
+ "p99": 4.455775667000012,
21
  "values": [
22
+ 4.455775667000012
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 5.133100350697836e-05,
29
+ "ram": 2.1454199422782947e-06,
30
  "gpu": 0,
31
+ "total": 5.347642344925665e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 885.211136,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 23,
47
+ "total": 1.0160346499999946,
48
+ "mean": 0.04417541956521716,
49
+ "stdev": 0.0013841085620845803,
50
+ "p50": 0.044436566000001676,
51
+ "p90": 0.044935027400015315,
52
+ "p95": 0.04498485040001014,
53
+ "p99": 0.04682872569997585,
54
  "values": [
55
+ 0.04475147499999821,
56
+ 0.04464087799999561,
57
+ 0.043252445000007356,
58
+ 0.04472648799998069,
59
+ 0.044644383999980164,
60
+ 0.04486034799998606,
61
+ 0.044029977000036524,
62
+ 0.04344580600002246,
63
+ 0.042653426000015315,
64
+ 0.04498892800000931,
65
+ 0.04417660100000376,
66
+ 0.04441222100001596,
67
+ 0.04333014999997431,
68
+ 0.04351162999995495,
69
+ 0.044436566000001676,
70
+ 0.04494815200001767,
71
+ 0.04734764299996641,
72
+ 0.04480800000004592,
73
+ 0.04462725299998738,
74
+ 0.04488252900000589,
75
+ 0.044309018999967975,
76
+ 0.04408202399997663,
77
+ 0.03916870700004438
78
  ]
79
  },
80
  "throughput": {
81
  "unit": "samples/s",
82
+ "value": 22.63702325506332
83
  },
84
  "energy": {
85
  "unit": "kWh",
86
+ "cpu": 1.535132858488295e-06,
87
+ "ram": 6.415467993087111e-08,
88
  "gpu": 0.0,
89
+ "total": 1.599287538419166e-06
90
  },
91
  "efficiency": {
92
  "unit": "samples/kWh",
93
+ "value": 625278.4292863692
94
  }
95
  }
96
  }