IlyasMoutawwakil HF staff commited on
Commit
a5140b7
1 Parent(s): c8ba159

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": 946.077696,
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": 4.560747911000021,
15
- "mean": 4.560747911000021,
16
  "stdev": 0.0,
17
- "p50": 4.560747911000021,
18
- "p90": 4.560747911000021,
19
- "p95": 4.560747911000021,
20
- "p99": 4.560747911000021,
21
  "values": [
22
- 4.560747911000021
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.873322459444486e-05,
29
- "ram": 2.0367765283095924e-06,
30
  "gpu": 0,
31
- "total": 5.0770001122754454e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 956.90752,
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": 1.0037440509998419,
48
- "mean": 0.0436410456956453,
49
- "stdev": 0.002407795026165993,
50
- "p50": 0.042522990999998456,
51
- "p90": 0.047578398799987556,
52
- "p95": 0.04811068629999227,
53
- "p99": 0.04891812027997958,
54
  "values": [
55
- 0.0419782279999481,
56
- 0.04154105999998592,
57
- 0.04197396099999651,
58
- 0.04120203400003675,
59
- 0.04413705799998979,
60
- 0.043863835000024665,
61
- 0.04590645600001153,
62
- 0.042522990999998456,
63
- 0.04186484699999937,
64
- 0.04248007099999995,
65
- 0.04191563199998427,
66
- 0.04164587599996139,
67
- 0.04094841799997084,
68
- 0.04043379299997696,
69
- 0.04786747299999661,
70
- 0.04913823599997613,
71
- 0.04454470199999605,
72
- 0.04230798800000457,
73
- 0.04438930000003438,
74
- 0.04642210199995134,
75
- 0.04521127200001729,
76
- 0.043311007999989215,
77
- 0.048137709999991785
 
78
  ]
79
  },
80
  "throughput": {
81
  "unit": "samples/s",
82
- "value": 22.914208036490393
83
  },
84
  "energy": {
85
  "unit": "kWh",
86
- "cpu": 1.6509212497684972e-06,
87
- "ram": 6.899484462997332e-08,
88
  "gpu": 0.0,
89
- "total": 1.7199160943984707e-06
90
  },
91
  "efficiency": {
92
  "unit": "samples/kWh",
93
- "value": 581423.7120385476
94
  }
95
  }
96
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 941.518848,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.374927518999982,
15
+ "mean": 4.374927518999982,
16
  "stdev": 0.0,
17
+ "p50": 4.374927518999982,
18
+ "p90": 4.374927518999982,
19
+ "p95": 4.374927518999982,
20
+ "p99": 4.374927518999982,
21
  "values": [
22
+ 4.374927518999982
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.738552727222264e-05,
29
+ "ram": 1.9816077478079225e-06,
30
  "gpu": 0,
31
+ "total": 4.936713502003057e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 952.266752,
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": 1.0156004690000486,
48
+ "mean": 0.04231668620833536,
49
+ "stdev": 0.0008312535331799708,
50
+ "p50": 0.04212614350001331,
51
+ "p90": 0.04333577600003195,
52
+ "p95": 0.04361400485000218,
53
+ "p99": 0.04464999300001694,
54
  "values": [
55
+ 0.04288855999999441,
56
+ 0.04199612599995817,
57
+ 0.04254701100001057,
58
+ 0.042436718000033125,
59
+ 0.042033005000007506,
60
+ 0.04362928099999408,
61
+ 0.041878897999993114,
62
+ 0.04213400300000103,
63
+ 0.04188077100002374,
64
+ 0.04237036399996441,
65
+ 0.042061919000047965,
66
+ 0.04204183199999534,
67
+ 0.04239592199996878,
68
+ 0.041246928999953525,
69
+ 0.042118284000025596,
70
+ 0.0426872350000167,
71
+ 0.0421744189999913,
72
+ 0.04191144800000757,
73
+ 0.04140349200002902,
74
+ 0.04269991799998252,
75
+ 0.043527440000048045,
76
+ 0.04495488100002376,
77
+ 0.04069857700000057,
78
+ 0.04188343599997779
79
  ]
80
  },
81
  "throughput": {
82
  "unit": "samples/s",
83
+ "value": 23.63134001270223
84
  },
85
  "energy": {
86
  "unit": "kWh",
87
+ "cpu": 1.6182109253333265e-06,
88
+ "ram": 6.766600746474323e-08,
89
  "gpu": 0.0,
90
+ "total": 1.6858769327980698e-06
91
  },
92
  "efficiency": {
93
  "unit": "samples/kWh",
94
+ "value": 593163.1073095521
95
  }
96
  }
97
  }