Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
3b46aee
•
1 Parent(s): 6f85fae

Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json +44 -42
cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 936.6528,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -10,59 +10,61 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 28,
14
- "total": 1.0214843340000357,
15
- "mean": 0.03648158335714413,
16
- "stdev": 0.0017589491762905706,
17
- "p50": 0.036961173000008785,
18
- "p90": 0.037804026000009115,
19
- "p95": 0.03792682109997543,
20
- "p99": 0.038642149019995034,
21
  "values": [
22
- 0.03696238499998117,
23
- 0.0372744169999919,
24
- 0.03702061399997092,
25
- 0.036033294999981536,
26
- 0.03753845800002864,
27
- 0.0369599610000364,
28
- 0.03666300800000499,
29
- 0.036372016000029816,
30
- 0.03683306400000674,
31
- 0.03462882799999534,
32
- 0.03734442699999363,
33
- 0.036315961000013885,
34
- 0.0371922030000178,
35
- 0.036199645000010605,
36
- 0.03888908400000446,
37
- 0.03686366100004079,
38
- 0.03737322000000631,
39
- 0.03778935600001887,
40
- 0.036203371999988576,
41
- 0.03678186799999139,
42
- 0.03797450999996954,
43
- 0.03759816000001592,
44
- 0.0375417440000092,
45
- 0.03729151800001773,
46
- 0.03783825599998636,
47
- 0.03335671299998921,
48
- 0.03168444399994996,
49
- 0.03096014599998398
 
 
50
  ]
51
  },
52
  "throughput": {
53
  "unit": "samples/s",
54
- "value": 27.41109096637308
55
  },
56
  "energy": {
57
  "unit": "kWh",
58
- "cpu": 1.331015604513663e-06,
59
- "ram": 5.56245077989388e-08,
60
  "gpu": 0.0,
61
- "total": 1.3866401123126015e-06
62
  },
63
  "efficiency": {
64
  "unit": "samples/kWh",
65
- "value": 721167.6563518897
66
  }
67
  }
68
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 937.406464,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 30,
14
+ "total": 1.022742634000167,
15
+ "mean": 0.0340914211333389,
16
+ "stdev": 0.007073075727751354,
17
+ "p50": 0.03266044400001533,
18
+ "p90": 0.03350528840003335,
19
+ "p95": 0.03494648380001308,
20
+ "p99": 0.061579902679997106,
21
  "values": [
22
+ 0.07198379999999815,
23
+ 0.03352649600003588,
24
+ 0.03243057399998861,
25
+ 0.03282238700001017,
26
+ 0.03265358100003368,
27
+ 0.03265496400001666,
28
+ 0.03309623000001238,
29
+ 0.032600811999998314,
30
+ 0.03245073099998308,
31
+ 0.03240072699998109,
32
+ 0.033028543000000354,
33
+ 0.032761512999968545,
34
+ 0.03268492900002684,
35
+ 0.03278231100000539,
36
+ 0.032665924000014,
37
+ 0.032440661999999065,
38
+ 0.03261039099999152,
39
+ 0.03295813100004352,
40
+ 0.03243022300000575,
41
+ 0.032385208999983206,
42
+ 0.032680781000010484,
43
+ 0.03209596699997519,
44
+ 0.03350293200003307,
45
+ 0.036108291999994435,
46
+ 0.03240202000000636,
47
+ 0.032883442000013474,
48
+ 0.032650986000021476,
49
+ 0.033125053999981446,
50
+ 0.032253982000042924,
51
+ 0.03167103999999199
52
  ]
53
  },
54
  "throughput": {
55
  "unit": "samples/s",
56
+ "value": 29.332892755886718
57
  },
58
  "energy": {
59
  "unit": "kWh",
60
+ "cpu": 1.2352704587909912e-06,
61
+ "ram": 5.1623710245465304e-08,
62
  "gpu": 0.0,
63
+ "total": 1.2868941690364565e-06
64
  },
65
  "efficiency": {
66
  "unit": "samples/kWh",
67
+ "value": 777064.6756047823
68
  }
69
  }
70
  }