Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
1e881a0
•
1 Parent(s): 688e9d9

Upload cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_report.json +36 -36
cpu_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 864.6656,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -11,53 +11,53 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 23,
14
- "total": 1.0180954319999103,
15
- "mean": 0.0442650187826048,
16
- "stdev": 0.001672665122043294,
17
- "p50": 0.04475820199999703,
18
- "p90": 0.04570843619999891,
19
- "p95": 0.045992968799995995,
20
- "p99": 0.04639754204000781,
21
  "values": [
22
- 0.04549818899999991,
23
- 0.0442509299999756,
24
- 0.04514333899999201,
25
- 0.04347836200000188,
26
- 0.043964015000000245,
27
- 0.04407940000001531,
28
- 0.04475820199999703,
29
- 0.04254964499997982,
30
- 0.045620936999995365,
31
- 0.044458844999979874,
32
- 0.0447681409999916,
33
- 0.04502837499998691,
34
- 0.04425479599998994,
35
- 0.04477188800001386,
36
- 0.04534954299998617,
37
- 0.045224429999990434,
38
- 0.0444944729999861,
39
- 0.04602215299999557,
40
- 0.0457303109999998,
41
- 0.04650342100001126,
42
- 0.04252627100001405,
43
- 0.03995921599999974,
44
- 0.03966055000000779
45
  ]
46
  },
47
  "throughput": {
48
  "unit": "samples/s",
49
- "value": 22.59120243258495
50
  },
51
  "energy": {
52
  "unit": "kWh",
53
- "cpu": 1.5171351595821545e-06,
54
- "ram": 6.340202392612819e-08,
55
  "gpu": 0.0,
56
- "total": 1.5805371835082827e-06
57
  },
58
  "efficiency": {
59
  "unit": "samples/kWh",
60
- "value": 632696.282273045
61
  }
62
  }
63
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 864.342016,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 23,
14
+ "total": 1.0199780049999845,
15
+ "mean": 0.044346869782608024,
16
+ "stdev": 0.0018289576352814483,
17
+ "p50": 0.04477500500001952,
18
+ "p90": 0.04589940920001254,
19
+ "p95": 0.04620396650004181,
20
+ "p99": 0.046350680279995234,
21
  "values": [
22
+ 0.04579367000002321,
23
+ 0.04556350099994688,
24
+ 0.04638334499998109,
25
+ 0.04346396700003652,
26
+ 0.045101723000016136,
27
+ 0.04467893599996842,
28
+ 0.045925844000009874,
29
+ 0.04280650499998728,
30
+ 0.04526269199999433,
31
+ 0.044303578999972615,
32
+ 0.044173666999995476,
33
+ 0.04434585799998558,
34
+ 0.04496698200000537,
35
+ 0.043535921000000144,
36
+ 0.045211686000016016,
37
+ 0.044618474000003516,
38
+ 0.04434477600000264,
39
+ 0.045273581999992984,
40
+ 0.046234869000045364,
41
+ 0.04477500500001952,
42
+ 0.04498434099997439,
43
+ 0.03955548099997941,
44
+ 0.0386736010000277
45
  ]
46
  },
47
  "throughput": {
48
  "unit": "samples/s",
49
+ "value": 22.549505859197765
50
  },
51
  "energy": {
52
  "unit": "kWh",
53
+ "cpu": 1.499445927448762e-06,
54
+ "ram": 6.266236482824402e-08,
55
  "gpu": 0.0,
56
+ "total": 1.562108292277006e-06
57
  },
58
  "efficiency": {
59
  "unit": "samples/kWh",
60
+ "value": 640160.4837154732
61
  }
62
  }
63
  }