Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
47a11d5
•
1 Parent(s): 94bfe1a

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 +43 -45
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": 936.50944,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -10,62 +10,60 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 31,
14
- "total": 1.0057723540000438,
15
- "mean": 0.032444269483872384,
16
- "stdev": 0.001964774899103647,
17
- "p50": 0.0311865240000202,
18
- "p90": 0.035306660000003376,
19
- "p95": 0.03540335799999639,
20
- "p99": 0.0363273346000085,
21
  "values": [
22
- 0.032205367000017304,
23
- 0.03145324700000174,
24
- 0.03097860199994784,
25
- 0.03098905100000593,
26
- 0.031004920999976093,
27
- 0.031093968999982735,
28
- 0.0311865240000202,
29
- 0.030954105000034815,
30
- 0.031174792000001617,
31
- 0.031363687999999,
32
- 0.03113220000000183,
33
- 0.031119015999991007,
34
- 0.030669427999953314,
35
- 0.030891526000004887,
36
- 0.031053702999997768,
37
- 0.03086837299997569,
38
- 0.03141678800000136,
39
- 0.030782090000002427,
40
- 0.033201986999984,
41
- 0.034984854000015275,
42
- 0.0348134900000332,
43
- 0.035411729000031755,
44
- 0.03671973699999853,
45
- 0.03539498699996102,
46
- 0.035268708000046445,
47
- 0.035306660000003376,
48
- 0.0351521580000167,
49
- 0.03516740700001719,
50
- 0.032829994999985956,
51
- 0.030943646000025637,
52
- 0.03023960600000919
53
  ]
54
  },
55
  "throughput": {
56
  "unit": "samples/s",
57
- "value": 30.822084020017364
58
  },
59
  "energy": {
60
  "unit": "kWh",
61
- "cpu": 1.2055861829507231e-06,
62
- "ram": 5.038303115305848e-08,
63
  "gpu": 0.0,
64
- "total": 1.2559692141037815e-06
65
  },
66
  "efficiency": {
67
  "unit": "samples/kWh",
68
- "value": 796197.8596056332
69
  }
70
  }
71
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 936.030208,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 29,
14
+ "total": 1.0277543410000476,
15
+ "mean": 0.03543980486207061,
16
+ "stdev": 0.0018115382448516547,
17
+ "p50": 0.03610661400000481,
18
+ "p90": 0.03685900899997705,
19
+ "p95": 0.036943766599983975,
20
+ "p99": 0.03727120827998533,
21
  "values": [
22
+ 0.03641309999994746,
23
+ 0.03611255499998833,
24
+ 0.036241017000008924,
25
+ 0.03512969900003782,
26
+ 0.035890568000013445,
27
+ 0.03606357299997853,
28
+ 0.036053213000002415,
29
+ 0.03622701000000461,
30
+ 0.03692882899997585,
31
+ 0.03516407400002208,
32
+ 0.03739467399998375,
33
+ 0.03610661400000481,
34
+ 0.036424070999999,
35
+ 0.036327769000024546,
36
+ 0.03569790599999578,
37
+ 0.03576939100003074,
38
+ 0.03536260700002458,
39
+ 0.03626479099995095,
40
+ 0.03629705200000899,
41
+ 0.0366604650000113,
42
+ 0.03606538600001841,
43
+ 0.03695372499998939,
44
+ 0.03684155399997735,
45
+ 0.0363055269999677,
46
+ 0.034385510999982216,
47
+ 0.031470987000034256,
48
+ 0.030774699000005512,
49
+ 0.031601208000040515,
50
+ 0.030826766000018324
 
 
51
  ]
52
  },
53
  "throughput": {
54
  "unit": "samples/s",
55
+ "value": 28.216859655179658
56
  },
57
  "energy": {
58
  "unit": "kWh",
59
+ "cpu": 1.21344420243594e-06,
60
+ "ram": 5.0711849842836414e-08,
61
  "gpu": 0.0,
62
+ "total": 1.2641560522787765e-06
63
  },
64
  "efficiency": {
65
  "unit": "samples/kWh",
66
+ "value": 791041.5792396778
67
  }
68
  }
69
  }