Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
bbdf79d
·
verified ·
1 Parent(s): 870a72d

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 +49 -49
cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 946.40128,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -11,31 +11,31 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 4.339728991000015,
15
- "mean": 4.339728991000015,
16
  "stdev": 0.0,
17
- "p50": 4.339728991000015,
18
- "p90": 4.339728991000015,
19
- "p95": 4.339728991000015,
20
- "p99": 4.339728991000015,
21
  "values": [
22
- 4.339728991000015
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.739995652777699e-05,
29
- "ram": 1.9810833180072627e-06,
30
  "gpu": 0,
31
- "total": 4.938103984578426e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 957.280256,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -44,55 +44,55 @@
44
  "latency": {
45
  "unit": "s",
46
  "count": 25,
47
- "total": 1.0380655339998839,
48
- "mean": 0.041522621359995356,
49
- "stdev": 0.0006286358728729903,
50
- "p50": 0.04151466099995105,
51
- "p90": 0.04221333839999488,
52
- "p95": 0.04245947919999935,
53
- "p99": 0.04317956379998349,
54
  "values": [
55
- 0.04225883999998814,
56
- 0.04161948800003756,
57
- 0.04339111899997761,
58
- 0.04250963900000215,
59
- 0.04114678999997068,
60
- 0.041020570999990014,
61
- 0.041642140000021755,
62
- 0.04111318599996139,
63
- 0.04071039800004428,
64
- 0.041615514000000076,
65
- 0.04132726799997499,
66
- 0.041379044999985126,
67
- 0.04198630700000194,
68
- 0.041025711000031606,
69
- 0.04149870999998484,
70
- 0.041604549999988194,
71
- 0.04151466099995105,
72
- 0.041990412000018296,
73
- 0.041782903999944665,
74
- 0.04097957400000496,
75
- 0.04156708900001149,
76
- 0.042145086000004994,
77
- 0.04118887800001403,
78
- 0.04060628199999883,
79
- 0.04044137199997522
80
  ]
81
  },
82
  "throughput": {
83
  "unit": "samples/s",
84
- "value": 24.083257926568244
85
  },
86
  "energy": {
87
  "unit": "kWh",
88
- "cpu": 1.5777728026666359e-06,
89
- "ram": 6.593818222047217e-08,
90
  "gpu": 0.0,
91
- "total": 1.643710984887108e-06
92
  },
93
  "efficiency": {
94
  "unit": "samples/kWh",
95
- "value": 608379.4591594101
96
  }
97
  }
98
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 944.41472,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.317076073999999,
15
+ "mean": 4.317076073999999,
16
  "stdev": 0.0,
17
+ "p50": 4.317076073999999,
18
+ "p90": 4.317076073999999,
19
+ "p95": 4.317076073999999,
20
+ "p99": 4.317076073999999,
21
  "values": [
22
+ 4.317076073999999
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.7176826511109956e-05,
29
+ "ram": 1.971758124200478e-06,
30
  "gpu": 0,
31
+ "total": 4.914858463531044e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 955.424768,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 25,
47
+ "total": 1.0110753219999538,
48
+ "mean": 0.04044301287999815,
49
+ "stdev": 0.0006741449014635713,
50
+ "p50": 0.04043467999997574,
51
+ "p90": 0.0410633236000308,
52
+ "p95": 0.041436108799996416,
53
+ "p99": 0.04221909459998187,
54
  "values": [
55
+ 0.042440490999979374,
56
+ 0.04151800599998978,
57
+ 0.040552489999981844,
58
+ 0.0409369790000369,
59
+ 0.03992920299998559,
60
+ 0.039819269000020086,
61
+ 0.04016210999998293,
62
+ 0.040618353000013485,
63
+ 0.04028158200003418,
64
+ 0.04028909700002714,
65
+ 0.040956875999995646,
66
+ 0.04110852000002296,
67
+ 0.04056660599997031,
68
+ 0.040927410999984204,
69
+ 0.04043467999997574,
70
+ 0.04048992399998497,
71
+ 0.040258049999977175,
72
+ 0.040259803999958876,
73
+ 0.04001966300000959,
74
+ 0.03970528600001444,
75
+ 0.040499700999987454,
76
+ 0.04099552900004255,
77
+ 0.03957927999999811,
78
+ 0.03928925799999661,
79
+ 0.03943715399998382
80
  ]
81
  },
82
  "throughput": {
83
  "unit": "samples/s",
84
+ "value": 24.726149927731242
85
  },
86
  "energy": {
87
  "unit": "kWh",
88
+ "cpu": 1.557306641333349e-06,
89
+ "ram": 6.50838093526766e-08,
90
  "gpu": 0.0,
91
+ "total": 1.6223904506860255e-06
92
  },
93
  "efficiency": {
94
  "unit": "samples/kWh",
95
+ "value": 616374.4366081244
96
  }
97
  }
98
  }