Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
71cb90b
·
verified ·
1 Parent(s): 968c31d

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 +48 -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": 947.052544,
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": 4.364509426999973,
15
- "mean": 4.364509426999973,
16
  "stdev": 0.0,
17
- "p50": 4.364509426999973,
18
- "p90": 4.364509426999973,
19
- "p95": 4.364509426999973,
20
- "p99": 4.364509426999973,
21
  "values": [
22
- 4.364509426999973
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 4.8356215911112105e-05,
29
- "ram": 2.021061073025207e-06,
30
  "gpu": 0,
31
- "total": 5.037727698413731e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 957.93152,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,55 +43,54 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 24,
47
- "total": 1.0021440790000042,
48
- "mean": 0.04175600329166684,
49
- "stdev": 0.0013221413439488843,
50
- "p50": 0.04126266099999043,
51
- "p90": 0.04389958239997327,
52
- "p95": 0.04425523254999177,
53
- "p99": 0.04532893144001605,
54
  "values": [
55
- 0.0416541590000179,
56
- 0.04112938700001223,
57
- 0.04075686900000619,
58
- 0.041069644999993216,
59
- 0.0413567229999785,
60
- 0.04095005100003846,
61
- 0.040789641000003485,
62
- 0.04046666599998616,
63
- 0.04120853499995292,
64
- 0.04059644000000162,
65
- 0.04084012499998835,
66
- 0.041039559000012105,
67
- 0.04149523199998839,
68
- 0.0414346080000314,
69
- 0.041316787000027944,
70
- 0.04174207400001251,
71
- 0.04400415699996074,
72
- 0.04215987500003848,
73
- 0.04429953999999725,
74
- 0.0436555750000025,
75
- 0.042872958999964794,
76
- 0.045636412000021664,
77
- 0.04074426599999015,
78
- 0.04092479399997728
79
  ]
80
  },
81
  "throughput": {
82
  "unit": "samples/s",
83
- "value": 23.948652197744412
84
  },
85
  "energy": {
86
  "unit": "kWh",
87
- "cpu": 1.5624690728888407e-06,
88
- "ram": 6.52988559403644e-08,
89
  "gpu": 0.0,
90
- "total": 1.627767928829205e-06
91
  },
92
  "efficiency": {
93
  "unit": "samples/kWh",
94
- "value": 614338.1880728317
95
  }
96
  }
97
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 948.043776,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.371852686000011,
15
+ "mean": 4.371852686000011,
16
  "stdev": 0.0,
17
+ "p50": 4.371852686000011,
18
+ "p90": 4.371852686000011,
19
+ "p95": 4.371852686000011,
20
+ "p99": 4.371852686000011,
21
  "values": [
22
+ 4.371852686000011
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 4.744630749444368e-05,
29
+ "ram": 1.98302787216583e-06,
30
  "gpu": 0,
31
+ "total": 4.942933536660951e-05
32
  },
33
  "efficiency": null
34
  },
35
  "forward": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 958.922752,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 23,
47
+ "total": 1.038533707999818,
48
+ "mean": 0.04515363947825296,
49
+ "stdev": 0.002678394157129726,
50
+ "p50": 0.045872937000012826,
51
+ "p90": 0.04802948120001247,
52
+ "p95": 0.04814171539997005,
53
+ "p99": 0.04825492560000612,
54
  "values": [
55
+ 0.0468866789999538,
56
+ 0.04623264199994992,
57
+ 0.04535169899997982,
58
+ 0.04828555400001733,
59
+ 0.04774681400004965,
60
+ 0.04814633399996637,
61
+ 0.0467754209999498,
62
+ 0.045872937000012826,
63
+ 0.04810014800000317,
64
+ 0.046511614999985795,
65
+ 0.0468572139999992,
66
+ 0.04755289999997103,
67
+ 0.04441586199999392,
68
+ 0.044123984000009386,
69
+ 0.044442110999966644,
70
+ 0.044775025999967966,
71
+ 0.043838348999997834,
72
+ 0.044994848000044385,
73
+ 0.04737008900002593,
74
+ 0.040301830999965205,
75
+ 0.039714278000019476,
76
+ 0.03978826599995955,
77
+ 0.040449107000029016
 
78
  ]
79
  },
80
  "throughput": {
81
  "unit": "samples/s",
82
+ "value": 22.146609034286666
83
  },
84
  "energy": {
85
  "unit": "kWh",
86
+ "cpu": 1.5586294639999652e-06,
87
+ "ram": 6.513652996535794e-08,
88
  "gpu": 0.0,
89
+ "total": 1.6237659939653232e-06
90
  },
91
  "efficiency": {
92
  "unit": "samples/kWh",
93
+ "value": 615852.2864233329
94
  }
95
  }
96
  }