IlyasMoutawwakil HF staff commited on
Commit
7f928d3
1 Parent(s): c3e766c

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": 968.384512,
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": 4.408281637000016,
15
- "mean": 4.408281637000016,
16
  "stdev": 0.0,
17
- "p50": 4.408281637000016,
18
- "p90": 4.408281637000016,
19
- "p95": 4.408281637000016,
20
- "p99": 4.408281637000016,
21
  "values": [
22
- 4.408281637000016
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 5.116074627222058e-05,
29
- "ram": 2.138275604421624e-06,
30
  "gpu": 0,
31
- "total": 5.32990218766422e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 882.176,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,54 +43,55 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 23,
47
- "total": 1.0113737640000977,
48
- "mean": 0.043972772347830334,
49
- "stdev": 0.0010032973211317527,
50
- "p50": 0.044226933000004465,
51
- "p90": 0.045153216200026235,
52
- "p95": 0.04516997609999294,
53
- "p99": 0.04561271381997017,
54
  "values": [
55
- 0.04496890100000428,
56
- 0.043513187999963066,
57
- 0.04243561100003035,
58
- 0.044086219999996956,
59
- 0.04462665100004415,
60
- 0.044834680999997545,
61
- 0.042857521000030374,
62
- 0.04257061399999884,
63
- 0.042200703000048634,
64
- 0.0443030760000056,
65
- 0.044315358000005745,
66
- 0.045170477999988634,
67
- 0.04359044199998152,
68
- 0.0439157810000097,
69
- 0.042805514000008316,
70
- 0.0438079990000233,
71
- 0.044226933000004465,
72
- 0.044368277999979,
73
- 0.04235432999996647,
74
- 0.04516545900003166,
75
- 0.04510424500000454,
76
- 0.0444143340000096,
77
- 0.04573744699996496
 
78
  ]
79
  },
80
  "throughput": {
81
  "unit": "samples/s",
82
- "value": 22.74134530545107
83
  },
84
  "energy": {
85
  "unit": "kWh",
86
- "cpu": 1.528743929700865e-06,
87
- "ram": 6.388816520501981e-08,
88
  "gpu": 0.0,
89
- "total": 1.5926320949058848e-06
90
  },
91
  "efficiency": {
92
  "unit": "samples/kWh",
93
- "value": 627891.4026651549
94
  }
95
  }
96
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 968.503296,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.391677571999992,
15
+ "mean": 4.391677571999992,
16
  "stdev": 0.0,
17
+ "p50": 4.391677571999992,
18
+ "p90": 4.391677571999992,
19
+ "p95": 4.391677571999992,
20
+ "p99": 4.391677571999992,
21
  "values": [
22
+ 4.391677571999992
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 5.03443814999994e-05,
29
+ "ram": 2.1041168271468163e-06,
30
  "gpu": 0,
31
+ "total": 5.244849832714622e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 882.397184,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 24,
47
+ "total": 1.0374133900000686,
48
+ "mean": 0.04322555791666952,
49
+ "stdev": 0.0020729138351982548,
50
+ "p50": 0.04385210299999187,
51
+ "p90": 0.04499991070000249,
52
+ "p95": 0.045485501500019156,
53
+ "p99": 0.04583437430000885,
54
  "values": [
55
+ 0.04395152400002189,
56
+ 0.044162088000007316,
57
+ 0.04186101499999495,
58
+ 0.04332487199999946,
59
+ 0.0438259389999871,
60
+ 0.04402681499999517,
61
+ 0.04387826699999664,
62
+ 0.04267881399999851,
63
+ 0.04211604200000352,
64
+ 0.04466887600000291,
65
+ 0.0459165510000048,
66
+ 0.04506753100000083,
67
+ 0.04377403200001595,
68
+ 0.0435334719999787,
69
+ 0.04361655799999653,
70
+ 0.044732274000011785,
71
+ 0.044842130000006364,
72
+ 0.04406321300001537,
73
+ 0.044323970999982976,
74
+ 0.04555926100002239,
75
+ 0.04233336500001883,
76
+ 0.038017168000010315,
77
+ 0.03880822700000408,
78
+ 0.038331384999992224
79
  ]
80
  },
81
  "throughput": {
82
  "unit": "samples/s",
83
+ "value": 23.134461374166776
84
  },
85
  "energy": {
86
  "unit": "kWh",
87
+ "cpu": 1.5097203153846155e-06,
88
+ "ram": 6.309331123246881e-08,
89
  "gpu": 0.0,
90
+ "total": 1.5728136266170843e-06
91
  },
92
  "efficiency": {
93
  "unit": "samples/kWh",
94
+ "value": 635803.2401784748
95
  }
96
  }
97
  }