Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
901cedd
•
1 Parent(s): 175ec54

Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark_report.json +73 -73
cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark_report.json CHANGED
@@ -11,44 +11,44 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 14,
14
- "total": 0.645904454000032,
15
- "mean": 0.04613603242857372,
16
- "stdev": 0.002363064739424687,
17
- "p50": 0.047124281000023416,
18
- "p90": 0.04804684419999887,
19
- "p95": 0.04816486709999879,
20
- "p99": 0.04828120461999959,
21
  "values": [
22
- 0.04748192899998571,
23
- 0.04741025600000626,
24
- 0.04709340000002271,
25
- 0.04736884899998017,
26
- 0.04676122099999702,
27
- 0.048310288999999784,
28
- 0.04715516200002412,
29
- 0.047954167000000325,
30
- 0.04808656299999825,
31
- 0.04703083100000072,
32
- 0.046009983000004695,
33
- 0.042284730000005766,
34
- 0.041429010000001654,
35
- 0.04152806400000486
36
  ]
37
  },
38
  "throughput": {
39
  "unit": "tokens/s",
40
- "value": 43.350064899844476
41
  },
42
  "energy": {
43
  "unit": "kWh",
44
- "cpu": 1.6903703963315047e-06,
45
- "ram": 7.064366916719756e-08,
46
  "gpu": 0.0,
47
- "total": 1.7610140654987021e-06
48
  },
49
  "efficiency": {
50
  "unit": "tokens/kWh",
51
- "value": 1135709.270688658
52
  }
53
  },
54
  "decode": {
@@ -63,44 +63,44 @@
63
  "latency": {
64
  "unit": "s",
65
  "count": 14,
66
- "total": 0.40617158700007394,
67
- "mean": 0.029012256214290995,
68
- "stdev": 0.0017591560510724785,
69
- "p50": 0.029683154000011314,
70
- "p90": 0.030456762899990508,
71
- "p95": 0.030563506649986038,
72
- "p99": 0.03067253972999765,
73
  "values": [
74
- 0.029885235000023158,
75
- 0.02948107299999947,
76
- 0.030490118999978222,
77
- 0.029468400000013162,
78
- 0.029893259000004946,
79
- 0.030699798000000555,
80
- 0.030059948999991093,
81
- 0.030378932000019176,
82
- 0.03002953200001457,
83
- 0.029340863000015815,
84
- 0.0292033080000067,
85
- 0.025476460999982464,
86
- 0.02567340600000989,
87
- 0.02609125200001472
88
  ]
89
  },
90
  "throughput": {
91
  "unit": "tokens/s",
92
- "value": 34.46819139517371
93
  },
94
  "energy": {
95
  "unit": "kWh",
96
- "cpu": 1.032672568603798e-06,
97
- "ram": 4.3157586091110056e-08,
98
  "gpu": 0.0,
99
- "total": 1.075830154694908e-06
100
  },
101
  "efficiency": {
102
  "unit": "tokens/kWh",
103
- "value": 929514.7525248422
104
  }
105
  },
106
  "per_token": {
@@ -108,32 +108,32 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 13,
111
- "total": 0.9750827619999995,
112
- "mean": 0.07500636630769228,
113
- "stdev": 0.004182999443269752,
114
- "p50": 0.07688387599998237,
115
- "p90": 0.07828306999999768,
116
- "p95": 0.07859094440000262,
117
- "p99": 0.0789242472800106,
118
  "values": [
119
- 0.07691498300002308,
120
- 0.07757542400000261,
121
- 0.07688387599998237,
122
- 0.07664823700000056,
123
- 0.0790075730000126,
124
- 0.07727188699999488,
125
- 0.07831319199999598,
126
- 0.07816258200000448,
127
- 0.07640508599999407,
128
- 0.07523886800001378,
129
- 0.06792244999999753,
130
- 0.06712155200000325,
131
- 0.06761705199997436
132
  ]
133
  },
134
  "throughput": {
135
  "unit": "tokens/s",
136
- "value": 13.332201641361808
137
  },
138
  "energy": null,
139
  "efficiency": null
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 14,
14
+ "total": 0.6339867150000487,
15
+ "mean": 0.04528476535714633,
16
+ "stdev": 0.0016215549762257887,
17
+ "p50": 0.04481703600001197,
18
+ "p90": 0.0462271221999913,
19
+ "p95": 0.04779731334999155,
20
+ "p99": 0.050004287469986364,
21
  "values": [
22
+ 0.04631184999999505,
23
+ 0.045226536999962264,
24
+ 0.04494494300001861,
25
+ 0.044653621000009025,
26
+ 0.0438055200000349,
27
+ 0.043956301000037,
28
+ 0.04468912900000532,
29
+ 0.044451223999999456,
30
+ 0.045247165999967365,
31
+ 0.04547249600000214,
32
+ 0.04428059600002143,
33
+ 0.04436187700002847,
34
+ 0.05055603099998507,
35
+ 0.046029423999982555
36
  ]
37
  },
38
  "throughput": {
39
  "unit": "tokens/s",
40
+ "value": 44.16496329895154
41
  },
42
  "energy": {
43
  "unit": "kWh",
44
+ "cpu": 1.6950056748689663e-06,
45
+ "ram": 7.08365921310357e-08,
46
  "gpu": 0.0,
47
+ "total": 1.765842267000002e-06
48
  },
49
  "efficiency": {
50
  "unit": "tokens/kWh",
51
+ "value": 1132603.9915206071
52
  }
53
  },
54
  "decode": {
 
63
  "latency": {
64
  "unit": "s",
65
  "count": 14,
66
+ "total": 0.3902009259998067,
67
+ "mean": 0.02787149471427191,
68
+ "stdev": 0.0009935493351508349,
69
+ "p50": 0.027663960000012366,
70
+ "p90": 0.028723292899968556,
71
+ "p95": 0.029497946349965786,
72
+ "p99": 0.030467642869971313,
73
  "values": [
74
+ 0.028845265999962066,
75
+ 0.02765952700002572,
76
+ 0.028438688999983697,
77
+ 0.027900404999968487,
78
+ 0.026684158999955798,
79
+ 0.0275202869999589,
80
+ 0.028259613999978228,
81
+ 0.027668392999999014,
82
+ 0.0281797860000097,
83
+ 0.027368894999995064,
84
+ 0.027082210000003215,
85
+ 0.030710066999972696,
86
+ 0.026835671000014827,
87
+ 0.027047956999979306
88
  ]
89
  },
90
  "throughput": {
91
  "unit": "tokens/s",
92
+ "value": 35.87895124576648
93
  },
94
  "energy": {
95
  "unit": "kWh",
96
+ "cpu": 1.013396446639597e-06,
97
+ "ram": 4.2353689736012584e-08,
98
  "gpu": 0.0,
99
+ "total": 1.0557501363756092e-06
100
  },
101
  "efficiency": {
102
  "unit": "tokens/kWh",
103
+ "value": 947193.8156058408
104
  }
105
  },
106
  "per_token": {
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 13,
111
+ "total": 0.9492799199999808,
112
+ "mean": 0.07302153230769083,
113
+ "stdev": 0.0016894624988902415,
114
+ "p50": 0.07290782799998397,
115
+ "p90": 0.07464429679997693,
116
+ "p95": 0.07599381059999359,
117
+ "p99": 0.07726914132003003,
118
  "values": [
119
+ 0.07292421599998988,
120
+ 0.07337603700000273,
121
+ 0.0725685219999832,
122
+ 0.07053093600001148,
123
+ 0.07146733100000802,
124
+ 0.07290782799998397,
125
+ 0.07216007099998478,
126
+ 0.07349734400003172,
127
+ 0.07284272300000794,
128
+ 0.07139964499998541,
129
+ 0.07493103499996323,
130
+ 0.07758797400003914,
131
+ 0.07308625799998936
132
  ]
133
  },
134
  "throughput": {
135
  "unit": "tokens/s",
136
+ "value": 13.694590737788136
137
  },
138
  "energy": null,
139
  "efficiency": null