IlyasMoutawwakil HF staff commited on
Commit
af04958
·
verified ·
1 Parent(s): fc6d68d

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": 971.763712,
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": 4.395720610000012,
15
- "mean": 4.395720610000012,
16
  "stdev": 0.0,
17
- "p50": 4.395720610000012,
18
- "p90": 4.395720610000012,
19
- "p95": 4.395720610000012,
20
- "p99": 4.395720610000012,
21
  "values": [
22
- 4.395720610000012
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 5.140556042222121e-05,
29
- "ram": 2.148533845303559e-06,
30
  "gpu": 0,
31
- "total": 5.355409426752477e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 885.403648,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -44,54 +44,54 @@
44
  "latency": {
45
  "unit": "s",
46
  "count": 24,
47
- "total": 1.0169676690000529,
48
- "mean": 0.0423736528750022,
49
- "stdev": 0.0021130485318977196,
50
- "p50": 0.04250471800000355,
51
- "p90": 0.04512922550004532,
52
- "p95": 0.0451893427500039,
53
- "p99": 0.045591361660019626,
54
  "values": [
55
- 0.040556821999985004,
56
- 0.03952698200004079,
57
- 0.04069403799996962,
58
- 0.04019271999999319,
59
- 0.04085690399995201,
60
- 0.04202080400000341,
61
- 0.04258154900003319,
62
- 0.042831915000022036,
63
- 0.03971263899995847,
64
- 0.039473451999981535,
65
- 0.0406088089999912,
66
- 0.040643293000016456,
67
- 0.04242788699997391,
68
- 0.04510139700005311,
69
- 0.04475286399997458,
70
- 0.045708905000026334,
71
- 0.044014851000042654,
72
- 0.04416944100000819,
73
- 0.043148657000017465,
74
- 0.04519784699999718,
75
- 0.045141152000041984,
76
- 0.045075818999976036,
77
- 0.04323342300000377,
78
- 0.03929549899999074
79
  ]
80
  },
81
  "throughput": {
82
  "unit": "samples/s",
83
- "value": 23.59957030256264
84
  },
85
  "energy": {
86
  "unit": "kWh",
87
- "cpu": 1.5384315886751738e-06,
88
- "ram": 6.429188455843333e-08,
89
  "gpu": 0.0,
90
- "total": 1.602723473233607e-06
91
  },
92
  "efficiency": {
93
  "unit": "samples/kWh",
94
- "value": 623937.9510567908
95
  }
96
  }
97
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 972.218368,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.466337614999986,
15
+ "mean": 4.466337614999986,
16
  "stdev": 0.0,
17
+ "p50": 4.466337614999986,
18
+ "p90": 4.466337614999986,
19
+ "p95": 4.466337614999986,
20
+ "p99": 4.466337614999986,
21
  "values": [
22
+ 4.466337614999986
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 5.054487833888889e-05,
29
+ "ram": 2.1125585277389176e-06,
30
  "gpu": 0,
31
+ "total": 5.265743686662781e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 885.788672,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 24,
47
+ "total": 1.0178901800000517,
48
+ "mean": 0.04241209083333549,
49
+ "stdev": 0.002165341974879976,
50
+ "p50": 0.043188106000002335,
51
+ "p90": 0.04431281020002871,
52
+ "p95": 0.044425450550042454,
53
+ "p99": 0.044654529310044495,
54
  "values": [
55
+ 0.04338543900001923,
56
+ 0.042322956999953476,
57
+ 0.04147371400000566,
58
+ 0.04343854799998326,
59
+ 0.04372406999999612,
60
+ 0.04313107499996249,
61
+ 0.042243949999999586,
62
+ 0.04253669600001331,
63
+ 0.04193407200000365,
64
+ 0.04377472499999158,
65
+ 0.04472189700004492,
66
+ 0.04382815399998208,
67
+ 0.04360377599999765,
68
+ 0.04440537100003894,
69
+ 0.04332885299999134,
70
+ 0.044428994000043076,
71
+ 0.0431495889999951,
72
+ 0.04322662300000957,
73
+ 0.04296377200000734,
74
+ 0.04409683500000483,
75
+ 0.0402911529999983,
76
+ 0.037365633999968395,
77
+ 0.037546851999991304,
78
+ 0.03696743100005051
79
  ]
80
  },
81
  "throughput": {
82
  "unit": "samples/s",
83
+ "value": 23.57818207854091
84
  },
85
  "energy": {
86
  "unit": "kWh",
87
+ "cpu": 1.480530452880634e-06,
88
+ "ram": 6.18728327400954e-08,
89
  "gpu": 0.0,
90
+ "total": 1.5424032856207295e-06
91
  },
92
  "efficiency": {
93
  "unit": "samples/kWh",
94
+ "value": 648338.8678710944
95
  }
96
  }
97
  }