IlyasMoutawwakil HF staff commited on
Commit
5598bd0
·
verified ·
1 Parent(s): 49ec346

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": 946.601984,
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": 4.604100656000014,
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,
@@ -43,52 +43,53 @@
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
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 944.029696,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.357567297000003,
15
+ "mean": 4.357567297000003,
16
  "stdev": 0.0,
17
+ "p50": 4.357567297000003,
18
+ "p90": 4.357567297000003,
19
+ "p95": 4.357567297000003,
20
+ "p99": 4.357567297000003,
21
  "values": [
22
+ 4.357567297000003
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.827113421666715e-05,
29
+ "ram": 2.0174878622919244e-06,
30
  "gpu": 0,
31
+ "total": 5.0288622078959075e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 954.908672,
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": 1.0279242169998497,
48
+ "mean": 0.04672382804544772,
49
+ "stdev": 0.0012881292281972912,
50
+ "p50": 0.0470954024999628,
51
+ "p90": 0.04773684349996756,
52
+ "p95": 0.04793913735001922,
53
+ "p99": 0.048198370510011156,
54
  "values": [
55
+ 0.047547131000044374,
56
+ 0.04634306499997365,
57
+ 0.04505002399997693,
58
+ 0.0479491500000222,
59
+ 0.047554204999983085,
60
+ 0.04688723999998956,
61
+ 0.046217269999999644,
62
+ 0.044860008999989986,
63
+ 0.048264619000008224,
64
+ 0.04738171200000352,
65
+ 0.04712977299999466,
66
+ 0.04665735100002166,
67
+ 0.04762836200001175,
68
+ 0.047126244999958544,
69
+ 0.04762534699995058,
70
+ 0.04774889699996265,
71
+ 0.046613008999997874,
72
+ 0.04576787199999899,
73
+ 0.04728995099998201,
74
+ 0.04706455999996706,
75
+ 0.04693364700000302,
76
+ 0.04228477800000974
77
  ]
78
  },
79
  "throughput": {
80
  "unit": "samples/s",
81
+ "value": 21.402355967651275
82
  },
83
  "energy": {
84
  "unit": "kWh",
85
+ "cpu": 1.6315569537036527e-06,
86
+ "ram": 6.818613244720215e-08,
87
  "gpu": 0.0,
88
+ "total": 1.6997430861508547e-06
89
  },
90
  "efficiency": {
91
  "unit": "samples/kWh",
92
+ "value": 588324.2050800426
93
  }
94
  }
95
  }