Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
32f503e
•
1 Parent(s): a34e130

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 +45 -41
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": 937.050112,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -10,58 +10,62 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 27,
14
- "total": 1.012489849000076,
15
- "mean": 0.03749962403703985,
16
- "stdev": 0.0008102174966712957,
17
- "p50": 0.037636799999972936,
18
- "p90": 0.0383750286000236,
19
- "p95": 0.03867013099997507,
20
- "p99": 0.03891177891996449,
21
  "values": [
22
- 0.03896892899996374,
23
- 0.0378362619999848,
24
- 0.037936969999975645,
25
- 0.038749120999966635,
26
- 0.0350502069999834,
27
- 0.037028268000028675,
28
- 0.038301167000042824,
29
- 0.0381366820000153,
30
- 0.037642340999980206,
31
- 0.03827270499999713,
32
- 0.037636799999972936,
33
- 0.037244571000030646,
34
- 0.03848582099999476,
35
- 0.03795935100004044,
36
- 0.03726677199995265,
37
- 0.03694746799999393,
38
- 0.03677579800000785,
39
- 0.03673992200003795,
40
- 0.037669140000048174,
41
- 0.036535260999983166,
42
- 0.036999806000039825,
43
- 0.037403808000021854,
44
- 0.03685807200002955,
45
- 0.03736737899998843,
46
- 0.036614417999999205,
47
- 0.037822345999984464,
48
- 0.0382404640000118
 
 
 
 
49
  ]
50
  },
51
  "throughput": {
52
  "unit": "samples/s",
53
- "value": 26.6669340207854
54
  },
55
  "energy": {
56
  "unit": "kWh",
57
- "cpu": 1.2475512921810152e-06,
58
- "ram": 5.2137148990105686e-08,
59
  "gpu": 0.0,
60
- "total": 1.299688441171121e-06
61
  },
62
  "efficiency": {
63
  "unit": "samples/kWh",
64
- "value": 769415.1677604533
65
  }
66
  }
67
  }
 
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
  },
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
  }