IlyasMoutawwakil HF staff commited on
Commit
5ae41a6
·
verified ·
1 Parent(s): 414b69a

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": 936.030208,
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": 4.299527635000004,
15
- "mean": 4.299527635000004,
16
  "stdev": 0.0,
17
- "p50": 4.299527635000004,
18
- "p90": 4.299527635000004,
19
- "p95": 4.299527635000004,
20
- "p99": 4.299527635000004,
21
  "values": [
22
- 4.299527635000004
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.803848266601563e-05,
29
- "ram": 2.0077585111814264e-06,
30
  "gpu": 0,
31
- "total": 5.004624117719706e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 947.171328,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,53 +43,54 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 22,
47
- "total": 1.0217099650001273,
48
- "mean": 0.04644136204546034,
49
- "stdev": 0.0020686870291975238,
50
- "p50": 0.046836428500029115,
51
- "p90": 0.048364376500046546,
52
- "p95": 0.04846881614997471,
53
- "p99": 0.04860526472998458,
54
  "values": [
55
- 0.0464267360000008,
56
- 0.04742963400002509,
57
- 0.045963197999981276,
58
- 0.04791516400001683,
59
- 0.04753005300000268,
60
- 0.04704710799995837,
61
- 0.04689737800003968,
62
- 0.04532436099998449,
63
- 0.04841428900004985,
64
- 0.0466208990000041,
65
- 0.04666053400001147,
66
- 0.04570891200000915,
67
- 0.04864077299998826,
68
- 0.04754850700004454,
69
- 0.04788187100001551,
70
- 0.04847168599997076,
71
- 0.04611096499996847,
72
- 0.04677547900001855,
73
- 0.046032107000030464,
74
- 0.04722255700005462,
75
- 0.04100967799996624,
76
- 0.04007807599998614
 
77
  ]
78
  },
79
  "throughput": {
80
  "unit": "samples/s",
81
- "value": 21.532529537379286
82
  },
83
  "energy": {
84
  "unit": "kWh",
85
- "cpu": 1.578461805979411e-06,
86
- "ram": 6.596520219253156e-08,
87
  "gpu": 0.0,
88
- "total": 1.6444270081719426e-06
89
  },
90
  "efficiency": {
91
  "unit": "samples/kWh",
92
- "value": 608114.5560310812
93
  }
94
  }
95
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 936.308736,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.249619942000038,
15
+ "mean": 4.249619942000038,
16
  "stdev": 0.0,
17
+ "p50": 4.249619942000038,
18
+ "p90": 4.249619942000038,
19
+ "p95": 4.249619942000038,
20
+ "p99": 4.249619942000038,
21
  "values": [
22
+ 4.249619942000038
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.745788044399686e-05,
29
+ "ram": 1.9835071236786918e-06,
30
  "gpu": 0,
31
+ "total": 4.9441387567675554e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 947.318784,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 23,
47
+ "total": 1.0327245650000236,
48
+ "mean": 0.044901068043479285,
49
+ "stdev": 0.0020003752059222445,
50
+ "p50": 0.045525587999975414,
51
+ "p90": 0.046311212000000525,
52
+ "p95": 0.04670642030003478,
53
+ "p99": 0.04758707231998642,
54
  "values": [
55
+ 0.045158666000020276,
56
+ 0.045525587999975414,
57
+ 0.0439707369999951,
58
+ 0.04617372399997066,
59
+ 0.04558961399999362,
60
+ 0.04496871399999236,
61
+ 0.04567161900001793,
62
+ 0.04418925599998147,
63
+ 0.047823372999971525,
64
+ 0.04568618599995489,
65
+ 0.04565372499996556,
66
+ 0.04507204899999806,
67
+ 0.04632069199999478,
68
+ 0.04517679700001054,
69
+ 0.04674927900003922,
70
+ 0.04563421800003198,
71
+ 0.046194313000000875,
72
+ 0.0446981740000183,
73
+ 0.0462732920000235,
74
+ 0.04459345700001904,
75
+ 0.04316486700002997,
76
+ 0.039676090000000386,
77
+ 0.03876013500001818
78
  ]
79
  },
80
  "throughput": {
81
  "unit": "samples/s",
82
+ "value": 22.271185153806695
83
  },
84
  "energy": {
85
  "unit": "kWh",
86
+ "cpu": 1.614081594679091e-06,
87
+ "ram": 6.745634506314672e-08,
88
  "gpu": 0.0,
89
+ "total": 1.6815379397422378e-06
90
  },
91
  "efficiency": {
92
  "unit": "samples/kWh",
93
+ "value": 594693.6886558085
94
  }
95
  }
96
  }