Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
8b45503
•
1 Parent(s): 55fa8cf

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 -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": 936.378368,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -10,58 +10,60 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 27,
14
- "total": 1.0188309630000845,
15
- "mean": 0.03773448011111424,
16
- "stdev": 0.0017514443771662147,
17
- "p50": 0.03797190299997055,
18
- "p90": 0.03952955760000805,
19
- "p95": 0.03960224540001036,
20
- "p99": 0.03976869466002768,
21
  "values": [
22
- 0.03855159099998673,
23
- 0.03850366199998234,
24
- 0.03962165000001505,
25
- 0.03695077600002605,
26
- 0.037807708999991974,
27
- 0.03770704199996544,
28
- 0.03982035900003211,
29
- 0.03873889900000904,
30
- 0.039033426000003146,
31
- 0.037213465000036194,
32
- 0.0386358079999809,
33
- 0.03729976500000021,
34
- 0.03801384199999802,
35
- 0.03792665999998235,
36
- 0.0395112840000138,
37
- 0.03681205999998838,
38
- 0.039556967999999415,
39
- 0.03935532499997407,
40
- 0.03797190299997055,
41
- 0.03684601200001225,
42
- 0.037940273999993224,
43
- 0.038119618999985505,
44
- 0.039355714999999236,
45
- 0.03687136900003907,
46
- 0.03475920200003202,
47
- 0.033024251000028926,
48
- 0.03288232700003846
 
 
49
  ]
50
  },
51
  "throughput": {
52
  "unit": "samples/s",
53
- "value": 26.50096137684595
54
  },
55
  "energy": {
56
  "unit": "kWh",
57
- "cpu": 1.242860903342565e-06,
58
- "ram": 5.194113724021676e-08,
59
  "gpu": 0.0,
60
- "total": 1.2948020405827818e-06
61
  },
62
  "efficiency": {
63
  "unit": "samples/kWh",
64
- "value": 772318.8322671369
65
  }
66
  }
67
  }
 
2
  "forward": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 936.886272,
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": 1.016004631000044,
15
+ "mean": 0.03503464244827738,
16
+ "stdev": 0.001886593634563525,
17
+ "p50": 0.03552321900002653,
18
+ "p90": 0.0367902827999842,
19
+ "p95": 0.03703344519998382,
20
+ "p99": 0.03747258799998008,
21
  "values": [
22
+ 0.03687306999995599,
23
+ 0.035474035999982334,
24
+ 0.03587025899997798,
25
+ 0.035046985000008135,
26
+ 0.035084695999955784,
27
+ 0.03574205899997196,
28
+ 0.03587703200003034,
29
+ 0.03676958599999125,
30
+ 0.03714036200000237,
31
+ 0.03445058599999129,
32
+ 0.03760178699997141,
33
+ 0.03523270300001968,
34
+ 0.03520812700003262,
35
+ 0.03589843100002099,
36
+ 0.03517137800002956,
37
+ 0.034950184000024365,
38
+ 0.0345514850000086,
39
+ 0.03564676899998176,
40
+ 0.035616233000041575,
41
+ 0.03552321900002653,
42
+ 0.03493004500001007,
43
+ 0.036221479000005274,
44
+ 0.03633594299998322,
45
+ 0.03589243100003614,
46
+ 0.03618766599998935,
47
+ 0.03099282900001299,
48
+ 0.03038090199999033,
49
+ 0.030593410999983917,
50
+ 0.0307409380000081
51
  ]
52
  },
53
  "throughput": {
54
  "unit": "samples/s",
55
+ "value": 28.543176984789497
56
  },
57
  "energy": {
58
  "unit": "kWh",
59
+ "cpu": 1.2164738443162706e-06,
60
+ "ram": 5.083835673797056e-08,
61
  "gpu": 0.0,
62
+ "total": 1.2673122010542413e-06
63
  },
64
  "efficiency": {
65
  "unit": "samples/kWh",
66
+ "value": 789071.5477749904
67
  }
68
  }
69
  }