Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
2f03497
•
1 Parent(s): 56fcad2

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 +36 -38
cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 944.49664,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -10,55 +10,53 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 24,
14
- "total": 1.0025126930000852,
15
- "mean": 0.04177136220833688,
16
- "stdev": 0.0015725389950627371,
17
- "p50": 0.04151594249998425,
18
- "p90": 0.042763287100024173,
19
- "p95": 0.04463801010002157,
20
- "p99": 0.04708170935003465,
21
  "values": [
22
- 0.04167805499997712,
23
- 0.041560293999964415,
24
- 0.04186623499998632,
25
- 0.04033798599999727,
26
- 0.04176857300001302,
27
- 0.04137868600003003,
28
- 0.04155920400000923,
29
- 0.04162082800002054,
30
- 0.03992886399998952,
31
- 0.041472680999959266,
32
- 0.041020930000001954,
33
- 0.04172999200000049,
34
- 0.04771659100003944,
35
- 0.04110648900001479,
36
- 0.04259658699999136,
37
- 0.04095573800003649,
38
- 0.042834730000038235,
39
- 0.04064122099998713,
40
- 0.04142645500002118,
41
- 0.04111377399999583,
42
- 0.04036740099996905,
43
- 0.04195272700002306,
44
- 0.040922416000000794,
45
- 0.044956236000018635
46
  ]
47
  },
48
  "throughput": {
49
  "unit": "samples/s",
50
- "value": 23.93984651523805
51
  },
52
  "energy": {
53
  "unit": "kWh",
54
- "cpu": 1.6147413783603246e-06,
55
- "ram": 6.748219064865376e-08,
56
  "gpu": 0.0,
57
- "total": 1.6822235690089781e-06
58
  },
59
  "efficiency": {
60
  "unit": "samples/kWh",
61
- "value": 594451.3074377589
62
  }
63
  }
64
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 942.497792,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 22,
14
+ "total": 1.0308161320000409,
15
+ "mean": 0.04685527872727458,
16
+ "stdev": 0.0010907057149416918,
17
+ "p50": 0.04704940450001516,
18
+ "p90": 0.04812063139999338,
19
+ "p95": 0.04814266629999366,
20
+ "p99": 0.04880060423998173,
21
  "values": [
22
+ 0.04812950499999147,
23
+ 0.046657762000023695,
24
+ 0.04714928499998905,
25
+ 0.04493485399999031,
26
+ 0.04814335899999378,
27
+ 0.046655428000008214,
28
+ 0.045894365999998854,
29
+ 0.04711844800002041,
30
+ 0.044404659999997875,
31
+ 0.04745119500000783,
32
+ 0.048975314999978536,
33
+ 0.04716366200000266,
34
+ 0.04799852200000032,
35
+ 0.04804076900001064,
36
+ 0.04770334400001275,
37
+ 0.04698036100000991,
38
+ 0.04713560900000857,
39
+ 0.0462630499999932,
40
+ 0.045599869000000126,
41
+ 0.04636048100002199,
42
+ 0.04591160799998306,
43
+ 0.046144679999997607
 
 
44
  ]
45
  },
46
  "throughput": {
47
  "unit": "samples/s",
48
+ "value": 21.342312481387445
49
  },
50
  "energy": {
51
  "unit": "kWh",
52
+ "cpu": 1.5420885167570197e-06,
53
+ "ram": 6.444655200697779e-08,
54
  "gpu": 0.0,
55
+ "total": 1.6065350687639974e-06
56
  },
57
  "efficiency": {
58
  "unit": "samples/kWh",
59
+ "value": 622457.6228948175
60
  }
61
  }
62
  }