IlyasMoutawwakil HF staff commited on
Commit
bd8ff1a
1 Parent(s): 0a7e0d3

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": 950.079488,
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": 4.358341526999993,
15
- "mean": 4.358341526999993,
16
  "stdev": 0.0,
17
- "p50": 4.358341526999993,
18
- "p90": 4.358341526999993,
19
- "p95": 4.358341526999993,
20
- "p99": 4.358341526999993,
21
  "values": [
22
- 4.358341526999993
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.806770348333266e-05,
29
- "ram": 2.009001569957995e-06,
30
  "gpu": 0,
31
- "total": 5.007670505329066e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 960.958464,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,53 +43,57 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 22,
47
- "total": 1.017345260000127,
48
- "mean": 0.046242966363642134,
49
- "stdev": 0.0007994199694567077,
50
- "p50": 0.04622683250002524,
51
- "p90": 0.04725386520000256,
52
- "p95": 0.04738930834998598,
53
- "p99": 0.04792967525998108,
54
  "values": [
55
- 0.04645645300001888,
56
- 0.04578199200000199,
57
- 0.0447904929999936,
58
- 0.047395876999985376,
59
- 0.04653534099998069,
60
- 0.04631833700000243,
61
- 0.04540583399995057,
62
- 0.04532839000000877,
63
- 0.046052674999998544,
64
- 0.04715811600004827,
65
- 0.04623331900000949,
66
- 0.04692396100000451,
67
- 0.044898263000050065,
68
- 0.04807157099997994,
69
- 0.04603639399999793,
70
- 0.04726450399999749,
71
- 0.04622034600004099,
72
- 0.046136831000012535,
73
- 0.04524228100001437,
74
- 0.04653504999998859,
75
- 0.04611036200003582,
76
- 0.04644887000000608
 
 
 
 
77
  ]
78
  },
79
  "throughput": {
80
  "unit": "samples/s",
81
- "value": 21.624910308224422
82
  },
83
  "energy": {
84
  "unit": "kWh",
85
- "cpu": 1.5671067268888997e-06,
86
- "ram": 6.549230366460167e-08,
87
  "gpu": 0.0,
88
- "total": 1.6325990305535014e-06
89
  },
90
  "efficiency": {
91
  "unit": "samples/kWh",
92
- "value": 612520.2706147444
93
  }
94
  }
95
  }
 
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
  "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
  },
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
  }