Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
c5d642b
·
verified ·
1 Parent(s): ee1b083

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 +50 -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": 946.2784,
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": 4.256377635999968,
15
- "mean": 4.256377635999968,
16
  "stdev": 0.0,
17
- "p50": 4.256377635999968,
18
- "p90": 4.256377635999968,
19
- "p95": 4.256377635999968,
20
- "p99": 4.256377635999968,
21
  "values": [
22
- 4.256377635999968
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.7488081861111365e-05,
29
- "ram": 1.9847804632326986e-06,
30
  "gpu": 0,
31
- "total": 4.947286232434406e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 957.026304,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,57 +43,56 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 26,
47
- "total": 1.0262103179999826,
48
- "mean": 0.039469627615383945,
49
- "stdev": 0.0013017853765253198,
50
- "p50": 0.03901381800000081,
51
- "p90": 0.04141420100000914,
52
- "p95": 0.04238507899999888,
53
- "p99": 0.04308468349999828,
54
  "values": [
55
- 0.039254986999992525,
56
- 0.0397292499999935,
57
- 0.0383843660000025,
58
- 0.04077158000001191,
59
- 0.039021892999983265,
60
- 0.03910783200001333,
61
- 0.03901000100000829,
62
- 0.03865247499999214,
63
- 0.03946968699995068,
64
- 0.04022154699998737,
65
- 0.0401127439999982,
66
- 0.038844422000011036,
67
- 0.03892726700001958,
68
- 0.03890465500001028,
69
- 0.03864709499998753,
70
- 0.03940693999999212,
71
- 0.04328141199999891,
72
- 0.04205682200000638,
73
- 0.03897842200001378,
74
- 0.038936134000039146,
75
- 0.03817003699998622,
76
- 0.039017634999993334,
77
- 0.04249449799999638,
78
- 0.03838634999999613,
79
- 0.0380280830000288,
80
- 0.0383941839999693
81
  ]
82
  },
83
  "throughput": {
84
  "unit": "samples/s",
85
- "value": 25.335937033523805
86
  },
87
  "energy": {
88
  "unit": "kWh",
89
- "cpu": 1.5396662361111256e-06,
90
- "ram": 6.434632701477258e-08,
91
  "gpu": 0.0,
92
- "total": 1.604012563125898e-06
93
  },
94
  "efficiency": {
95
  "unit": "samples/kWh",
96
- "value": 623436.5135215656
97
  }
98
  }
99
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 947.28192,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.301630122000006,
15
+ "mean": 4.301630122000006,
16
  "stdev": 0.0,
17
+ "p50": 4.301630122000006,
18
+ "p90": 4.301630122000006,
19
+ "p95": 4.301630122000006,
20
+ "p99": 4.301630122000006,
21
  "values": [
22
+ 4.301630122000006
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.87513015500001e-05,
29
+ "ram": 2.0375543411944797e-06,
30
  "gpu": 0,
31
+ "total": 5.0788855891194576e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 958.029824,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 25,
47
+ "total": 1.028868996000142,
48
+ "mean": 0.04115475984000568,
49
+ "stdev": 0.0005127201470303722,
50
+ "p50": 0.04107276400003457,
51
+ "p90": 0.041588373399986264,
52
+ "p95": 0.042230286199969665,
53
+ "p99": 0.04256421160001537,
54
  "values": [
55
+ 0.04153860099995654,
56
+ 0.04162155500000608,
57
+ 0.040774299000020164,
58
+ 0.04095103800000288,
59
+ 0.04098161600001049,
60
+ 0.04120100300002605,
61
+ 0.04120517100000143,
62
+ 0.04107276400003457,
63
+ 0.04103774999998677,
64
+ 0.04123519600000236,
65
+ 0.04114612099999704,
66
+ 0.041371681000043736,
67
+ 0.041230708000000504,
68
+ 0.04097380000001749,
69
+ 0.042621604000032676,
70
+ 0.040993417000038335,
71
+ 0.04147479199997406,
72
+ 0.04118813999997428,
73
+ 0.04091678399998955,
74
+ 0.04086935700001959,
75
+ 0.042382468999960565,
76
+ 0.04099330700000792,
77
+ 0.04050362700002097,
78
+ 0.04022725300001184,
79
+ 0.04035694300000614
 
80
  ]
81
  },
82
  "throughput": {
83
  "unit": "samples/s",
84
+ "value": 24.298525951496888
85
  },
86
  "energy": {
87
  "unit": "kWh",
88
+ "cpu": 1.5750409577778e-06,
89
+ "ram": 6.582407223957854e-08,
90
  "gpu": 0.0,
91
+ "total": 1.6408650300173786e-06
92
  },
93
  "efficiency": {
94
  "unit": "samples/kWh",
95
+ "value": 609434.6467907899
96
  }
97
  }
98
  }