IlyasMoutawwakil HF staff commited on
Commit
98e36fe
1 Parent(s): 818a8fe

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": 969.60512,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -11,15 +11,15 @@
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
- 1.345379209999976
15
  ],
16
  "count": 1,
17
- "total": 1.345379209999976,
18
- "mean": 1.345379209999976,
19
- "p50": 1.345379209999976,
20
- "p90": 1.345379209999976,
21
- "p95": 1.345379209999976,
22
- "p99": 1.345379209999976,
23
  "stdev": 0,
24
  "stdev_": 0
25
  },
@@ -30,7 +30,7 @@
30
  "forward": {
31
  "memory": {
32
  "unit": "MB",
33
- "max_ram": 883.621888,
34
  "max_global_vram": null,
35
  "max_process_vram": null,
36
  "max_reserved": null,
@@ -39,53 +39,54 @@
39
  "latency": {
40
  "unit": "s",
41
  "values": [
42
- 0.049347118000014234,
43
- 0.05010485799999742,
44
- 0.0474158760000023,
45
- 0.04547895600001084,
46
- 0.045899964999989606,
47
- 0.049931011000012404,
48
- 0.04510426399997414,
49
- 0.04375544499998796,
50
- 0.0437664049999853,
51
- 0.04628468599997859,
52
- 0.04544882000004691,
53
- 0.04564213199995493,
54
- 0.04582695800002057,
55
- 0.043818552999994154,
56
- 0.04393917900000588,
57
- 0.042750409999996464,
58
- 0.04430573600001253,
59
- 0.043489305999969474,
60
- 0.042554533999975774,
61
- 0.04523385599998164,
62
- 0.044188227000006464,
63
- 0.04585695499997655
 
64
  ],
65
- "count": 22,
66
- "total": 1.0001432499998941,
67
- "mean": 0.045461056818177005,
68
- "p50": 0.045341338000014275,
69
- "p90": 0.04915399380001304,
70
- "p95": 0.04990181635001249,
71
- "p99": 0.05006835013000057,
72
- "stdev": 0.002081029084599479,
73
- "stdev_": 4.577608243738424
74
  },
75
  "throughput": {
76
  "unit": "samples/s",
77
- "value": 21.996848951390042
78
  },
79
  "energy": {
80
  "unit": "kWh",
81
- "cpu": 1.6962059299516576e-06,
82
- "ram": 7.092491758256037e-08,
83
  "gpu": 0.0,
84
- "total": 1.7671308475342181e-06
85
  },
86
  "efficiency": {
87
  "unit": "samples/kWh",
88
- "value": 565889.0519597679
89
  }
90
  }
91
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 974.446592,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
+ 1.300345988999993
15
  ],
16
  "count": 1,
17
+ "total": 1.300345988999993,
18
+ "mean": 1.300345988999993,
19
+ "p50": 1.300345988999993,
20
+ "p90": 1.300345988999993,
21
+ "p95": 1.300345988999993,
22
+ "p99": 1.300345988999993,
23
  "stdev": 0,
24
  "stdev_": 0
25
  },
 
30
  "forward": {
31
  "memory": {
32
  "unit": "MB",
33
+ "max_ram": 888.274944,
34
  "max_global_vram": null,
35
  "max_process_vram": null,
36
  "max_reserved": null,
 
39
  "latency": {
40
  "unit": "s",
41
  "values": [
42
+ 0.04548975800003063,
43
+ 0.044052593000003526,
44
+ 0.04482066200000645,
45
+ 0.04445874800001093,
46
+ 0.0451162219999901,
47
+ 0.045044768000025215,
48
+ 0.04428849200002105,
49
+ 0.04511119199997893,
50
+ 0.045925246999956926,
51
+ 0.045274747000007665,
52
+ 0.044347302000005584,
53
+ 0.044402934999993704,
54
+ 0.04496761600000809,
55
+ 0.04515662700003986,
56
+ 0.04449122900001612,
57
+ 0.04477521699999443,
58
+ 0.04410232499998301,
59
+ 0.04415545699998802,
60
+ 0.039184608000027765,
61
+ 0.039475358000004235,
62
+ 0.03928223899998784,
63
+ 0.03931857599997102,
64
+ 0.04027700000000323
65
  ],
66
+ "count": 23,
67
+ "total": 1.0035189180000543,
68
+ "mean": 0.04363125730435019,
69
+ "p50": 0.04445874800001093,
70
+ "p90": 0.045251123000014104,
71
+ "p95": 0.045468256900028335,
72
+ "p99": 0.04582943941997314,
73
+ "stdev": 0.002227240710377986,
74
+ "stdev_": 5.104690646070202
75
  },
76
  "throughput": {
77
  "unit": "samples/s",
78
+ "value": 22.91934869134052
79
  },
80
  "energy": {
81
  "unit": "kWh",
82
+ "cpu": 1.5542358416666352e-06,
83
+ "ram": 6.495172656398933e-08,
84
  "gpu": 0.0,
85
+ "total": 1.6191875682306245e-06
86
  },
87
  "efficiency": {
88
  "unit": "samples/kWh",
89
+ "value": 617593.6745195957
90
  }
91
  }
92
  }