IlyasMoutawwakil HF staff commited on
Commit
9d42bd4
1 Parent(s): 80a75e9

Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json with huggingface_hub

Browse files
cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 939.708416,
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": 4.294424373999959,
15
- "mean": 4.294424373999959,
16
  "stdev": 0.0,
17
- "p50": 4.294424373999959,
18
- "p90": 4.294424373999959,
19
- "p95": 4.294424373999959,
20
- "p99": 4.294424373999959,
21
  "values": [
22
- 4.294424373999959
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.756504553889095e-05,
29
- "ram": 1.9890691912190206e-06,
30
  "gpu": 0,
31
- "total": 4.9554114730109975e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 950.325248,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,53 +43,57 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 22,
47
- "total": 1.0110521510001718,
48
- "mean": 0.045956915954553264,
49
- "stdev": 0.0010355535054028054,
50
- "p50": 0.04613683000002311,
51
- "p90": 0.047273867599994905,
52
- "p95": 0.047346198349993075,
53
- "p99": 0.047355327820018826,
54
  "values": [
55
- 0.04552678899995044,
56
- 0.04624349400000938,
57
- 0.044844479000062165,
58
- 0.047357377000025735,
59
- 0.0462440640000068,
60
- 0.046073155999920345,
61
- 0.046372794000035356,
62
- 0.04397255599997152,
63
- 0.047347618999992847,
64
- 0.04617345300005127,
65
- 0.045849410000073476,
66
- 0.04610020699999495,
67
- 0.04686582199997247,
68
- 0.04563800699997955,
69
- 0.047319205999997394,
70
- 0.04636464899999737,
71
- 0.046387532000039755,
72
- 0.04510318100005861,
73
- 0.046339192000004914,
74
- 0.04608032999999523,
75
- 0.04603437399998711,
76
- 0.042814460000045074
 
 
 
 
77
  ]
78
  },
79
  "throughput": {
80
  "unit": "samples/s",
81
- "value": 21.75951060312443
82
  },
83
  "energy": {
84
  "unit": "kWh",
85
- "cpu": 1.5353463326923887e-06,
86
- "ram": 6.42027746054585e-08,
87
  "gpu": 0.0,
88
- "total": 1.5995491072978471e-06
89
  },
90
  "efficiency": {
91
  "unit": "samples/kWh",
92
- "value": 625176.1796105914
93
  }
94
  }
95
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 946.286592,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.440129936000005,
15
+ "mean": 4.440129936000005,
16
  "stdev": 0.0,
17
+ "p50": 4.440129936000005,
18
+ "p90": 4.440129936000005,
19
+ "p95": 4.440129936000005,
20
+ "p99": 4.440129936000005,
21
  "values": [
22
+ 4.440129936000005
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.9216444161111405e-05,
29
+ "ram": 2.0581838168086986e-06,
30
  "gpu": 0,
31
+ "total": 5.12746279779201e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 956.64128,
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": 1.0304728999998929,
48
+ "mean": 0.039633573076918956,
49
+ "stdev": 0.002383078574040741,
50
+ "p50": 0.038962002000005214,
51
+ "p90": 0.04108970049995264,
52
+ "p95": 0.0432719692500001,
53
+ "p99": 0.04827134224998986,
54
  "values": [
55
+ 0.03983599100001811,
56
+ 0.03828869599999507,
57
+ 0.03780597900004068,
58
+ 0.04005309400002943,
59
+ 0.03818680699998822,
60
+ 0.03887121799999704,
61
+ 0.038601156999959585,
62
+ 0.03836045899998908,
63
+ 0.038455856999974,
64
+ 0.038689480000016374,
65
+ 0.038624881000032474,
66
+ 0.039052786000013384,
67
+ 0.03908255100003544,
68
+ 0.04380859100001544,
69
+ 0.04975892599998133,
70
+ 0.03924189699995395,
71
+ 0.04009066300000086,
72
+ 0.04002564299997857,
73
+ 0.03845107699999062,
74
+ 0.03911715499998536,
75
+ 0.03851741199997605,
76
+ 0.039068955000004735,
77
+ 0.04166210399995407,
78
+ 0.04051729699995121,
79
+ 0.03821367599999803,
80
+ 0.03809054800001377
81
  ]
82
  },
83
  "throughput": {
84
  "unit": "samples/s",
85
+ "value": 25.231134171507765
86
  },
87
  "energy": {
88
  "unit": "kWh",
89
+ "cpu": 1.497737012393157e-06,
90
+ "ram": 6.2629062115749e-08,
91
  "gpu": 0.0,
92
+ "total": 1.560366074508906e-06
93
  },
94
  "efficiency": {
95
  "unit": "samples/kWh",
96
+ "value": 640875.2512225248
97
  }
98
  }
99
  }