Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
fd7c58f
•
1 Parent(s): 1d1d3bb

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

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json +47 -51
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": 942.010368,
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": 4.4770662329999595,
15
- "mean": 4.4770662329999595,
16
  "stdev": 0.0,
17
- "p50": 4.4770662329999595,
18
- "p90": 4.4770662329999595,
19
- "p95": 4.4770662329999595,
20
- "p99": 4.4770662329999595,
21
  "values": [
22
- 4.4770662329999595
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.845596551895142e-05,
29
- "ram": 2.0252309501870515e-06,
30
  "gpu": 0,
31
- "total": 5.048119646913847e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 953.020416,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,57 +43,53 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 26,
47
- "total": 1.023882426000057,
48
- "mean": 0.0393800933076945,
49
- "stdev": 0.0009656837142034471,
50
- "p50": 0.03908391349997942,
51
- "p90": 0.04044876450001311,
52
- "p95": 0.04119655450000437,
53
- "p99": 0.04242021325001133,
54
  "values": [
55
- 0.0400378840000144,
56
- 0.03926748399999269,
57
- 0.03908338299999059,
58
- 0.039084443999968244,
59
- 0.03875459200003206,
60
- 0.03870207400001391,
61
- 0.03855591199999253,
62
- 0.03865815199998224,
63
- 0.03910396999998511,
64
- 0.04137448000000177,
65
- 0.039535342000021956,
66
- 0.0388452100000336,
67
- 0.03877761399996871,
68
- 0.039190392000023166,
69
- 0.0384813329999929,
70
- 0.03862746499999048,
71
- 0.0398398899999961,
72
- 0.03893183999997518,
73
- 0.03857615000003989,
74
- 0.039056152000000566,
75
- 0.03969578999999612,
76
- 0.04276879100001452,
77
- 0.04066277800001217,
78
- 0.04023475100001406,
79
- 0.03918048299999555,
80
- 0.03885607000000846
81
  ]
82
  },
83
  "throughput": {
84
  "unit": "samples/s",
85
- "value": 25.39354064467413
86
  },
87
  "energy": {
88
  "unit": "kWh",
89
- "cpu": 1.5144224350269026e-06,
90
- "ram": 6.329050018476979e-08,
91
  "gpu": 0.0,
92
- "total": 1.5777129352116722e-06
93
  },
94
  "efficiency": {
95
  "unit": "samples/kWh",
96
- "value": 633828.8656204977
97
  }
98
  }
99
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 941.993984,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.508805219999999,
15
+ "mean": 4.508805219999999,
16
  "stdev": 0.0,
17
+ "p50": 4.508805219999999,
18
+ "p90": 4.508805219999999,
19
+ "p95": 4.508805219999999,
20
+ "p99": 4.508805219999999,
21
  "values": [
22
+ 4.508805219999999
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.894689056608413e-05,
29
+ "ram": 2.0457415118380596e-06,
30
  "gpu": 0,
31
+ "total": 5.099263207792219e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 953.397248,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 22,
47
+ "total": 1.0045623279999063,
48
+ "mean": 0.04566192399999574,
49
+ "stdev": 0.0020175810216151624,
50
+ "p50": 0.04653169499999876,
51
+ "p90": 0.04714359559998229,
52
+ "p95": 0.047358681199960985,
53
+ "p99": 0.04738710317997857,
54
  "values": [
55
+ 0.04682576400000471,
56
+ 0.04637939100001631,
57
+ 0.04704617599998073,
58
+ 0.047391689999983555,
59
+ 0.04714651199998343,
60
+ 0.04659517400000368,
61
+ 0.04677638200001866,
62
+ 0.047117347999972026,
63
+ 0.04676957899999934,
64
+ 0.04652624499999547,
65
+ 0.046301657000014984,
66
+ 0.04632790499999828,
67
+ 0.0473698479999598,
68
+ 0.046537145000002056,
69
+ 0.046377789000018765,
70
+ 0.04706153399996538,
71
+ 0.04592790599997443,
72
+ 0.0427099880000128,
73
+ 0.041752191000000494,
74
+ 0.0417023580000091,
75
+ 0.04164298699998881,
76
+ 0.042276759000003494
 
 
 
 
77
  ]
78
  },
79
  "throughput": {
80
  "unit": "samples/s",
81
+ "value": 21.90008463068909
82
  },
83
  "energy": {
84
  "unit": "kWh",
85
+ "cpu": 1.6487302051650155e-06,
86
+ "ram": 6.890146086064419e-08,
87
  "gpu": 0.0,
88
+ "total": 1.7176316660256598e-06
89
  },
90
  "efficiency": {
91
  "unit": "samples/kWh",
92
+ "value": 582196.9982154841
93
  }
94
  }
95
  }