IlyasMoutawwakil HF staff commited on
Commit
51c7468
1 Parent(s): 061ff48

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": 947.28192,
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": 4.301630122000006,
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,
@@ -43,56 +43,52 @@
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
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 946.601984,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.604100656000014,
15
+ "mean": 4.604100656000014,
16
  "stdev": 0.0,
17
+ "p50": 4.604100656000014,
18
+ "p90": 4.604100656000014,
19
+ "p95": 4.604100656000014,
20
+ "p99": 4.604100656000014,
21
  "values": [
22
+ 4.604100656000014
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.86712185944441e-05,
29
+ "ram": 2.0342111349301577e-06,
30
  "gpu": 0,
31
+ "total": 5.070542972937426e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 957.218816,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 21,
47
+ "total": 1.0058956540001418,
48
+ "mean": 0.0478997930476258,
49
+ "stdev": 0.0011851155747258772,
50
+ "p50": 0.04789712699999882,
51
+ "p90": 0.049301055000000815,
52
+ "p95": 0.04935259000001224,
53
+ "p99": 0.04946431799996844,
54
  "values": [
55
+ 0.04766847000001917,
56
+ 0.047561019999989185,
57
+ 0.04551954300001171,
58
+ 0.04916953999997986,
59
+ 0.04789712699999882,
60
+ 0.04691494500002591,
61
+ 0.04577252500001805,
62
+ 0.045743099999981496,
63
+ 0.04903995799998029,
64
+ 0.049492249999957494,
65
+ 0.04845318400003862,
66
+ 0.047772293000036825,
67
+ 0.048280973000032645,
68
+ 0.049301055000000815,
69
+ 0.04935259000001224,
70
+ 0.04898147900001959,
71
+ 0.0476864539999724,
72
+ 0.04671782700000904,
73
+ 0.04877945200001932,
74
+ 0.04815818299999819,
75
+ 0.04763368600004014
 
 
 
 
76
  ]
77
  },
78
  "throughput": {
79
  "unit": "samples/s",
80
+ "value": 20.876916921242646
81
  },
82
  "energy": {
83
  "unit": "kWh",
84
+ "cpu": 1.5924948371111644e-06,
85
+ "ram": 6.655303062968183e-08,
86
  "gpu": 0.0,
87
+ "total": 1.6590478677408464e-06
88
  },
89
  "efficiency": {
90
  "unit": "samples/kWh",
91
+ "value": 602755.3631479705
92
  }
93
  }
94
  }