IlyasMoutawwakil HF staff commited on
Commit
c5d26c4
·
verified ·
1 Parent(s): 09543e2

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": 942.137344,
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": 4.3982102190000205,
15
- "mean": 4.3982102190000205,
16
  "stdev": 0.0,
17
- "p50": 4.3982102190000205,
18
- "p90": 4.3982102190000205,
19
- "p95": 4.3982102190000205,
20
- "p99": 4.3982102190000205,
21
  "values": [
22
- 4.3982102190000205
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.758784373601278e-05,
29
- "ram": 1.9889361164041472e-06,
30
  "gpu": 0,
31
- "total": 4.957677985241693e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 953.409536,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,55 +43,52 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 24,
47
- "total": 1.0077743039999518,
48
- "mean": 0.04199059599999799,
49
- "stdev": 0.0022350557509462714,
50
- "p50": 0.04110023000001206,
51
- "p90": 0.046438400600010254,
52
- "p95": 0.04666395314997942,
53
- "p99": 0.04697791389996667,
54
  "values": [
55
- 0.04003987999999481,
56
- 0.03999171999998907,
57
- 0.040407207999976436,
58
- 0.04089758399999255,
59
- 0.0396968480000055,
60
- 0.040387820999967516,
61
- 0.04116211100000555,
62
- 0.04005858499999704,
63
- 0.040609255999982,
64
- 0.04205664500000239,
65
- 0.04101534599999468,
66
- 0.04103834900001857,
67
- 0.04201223199999049,
68
- 0.04190109400002484,
69
- 0.040682713000023796,
70
- 0.04311208000001443,
71
- 0.04212105499999552,
72
- 0.04134097600001496,
73
- 0.04642087399997763,
74
- 0.046445912000024236,
75
- 0.04670243099997151,
76
- 0.04706020099996522,
77
- 0.04187171000000944,
78
- 0.040741673000013634
79
  ]
80
  },
81
  "throughput": {
82
  "unit": "samples/s",
83
- "value": 23.814856069202918
84
  },
85
  "energy": {
86
  "unit": "kWh",
87
- "cpu": 1.5839625994364424e-06,
88
- "ram": 6.619716913346564e-08,
89
  "gpu": 0.0,
90
- "total": 1.650159768569908e-06
91
  },
92
  "efficiency": {
93
  "unit": "samples/kWh",
94
- "value": 606001.9272355904
95
  }
96
  }
97
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 940.044288,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.645910230999959,
15
+ "mean": 4.645910230999959,
16
  "stdev": 0.0,
17
+ "p50": 4.645910230999959,
18
+ "p90": 4.645910230999959,
19
+ "p95": 4.645910230999959,
20
+ "p99": 4.645910230999959,
21
  "values": [
22
+ 4.645910230999959
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.9532722102271186e-05,
29
+ "ram": 2.0702330247479496e-06,
30
  "gpu": 0,
31
+ "total": 5.1602955127019134e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 951.185408,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 21,
47
+ "total": 1.0250935030001074,
48
+ "mean": 0.04881397633333845,
49
+ "stdev": 0.0007195506487769996,
50
+ "p50": 0.048913168000012774,
51
+ "p90": 0.04966630199999145,
52
+ "p95": 0.04995166099996595,
53
+ "p99": 0.0500325633999978,
54
  "values": [
55
+ 0.04813068900000417,
56
+ 0.048913168000012774,
57
+ 0.04837233700004617,
58
+ 0.0495073780000439,
59
+ 0.04901491700002225,
60
+ 0.04810689400000001,
61
+ 0.0492628960000161,
62
+ 0.04811003199995412,
63
+ 0.05005278900000576,
64
+ 0.04938038300002745,
65
+ 0.04864593299998887,
66
+ 0.04886791400002721,
67
+ 0.04909961300000987,
68
+ 0.049242717999959496,
69
+ 0.04966630199999145,
70
+ 0.04995166099996595,
71
+ 0.04833109100002275,
72
+ 0.04734924300004195,
73
+ 0.04926314499999762,
74
+ 0.04813940599996158,
75
+ 0.04768499400000792
 
 
 
76
  ]
77
  },
78
  "throughput": {
79
  "unit": "samples/s",
80
+ "value": 20.485936100989804
81
  },
82
  "energy": {
83
  "unit": "kWh",
84
+ "cpu": 1.587422847747803e-06,
85
+ "ram": 6.634146165947642e-08,
86
  "gpu": 0.0,
87
+ "total": 1.6537643094072795e-06
88
  },
89
  "efficiency": {
90
  "unit": "samples/kWh",
91
+ "value": 604681.0868462912
92
  }
93
  }
94
  }