IlyasMoutawwakil HF staff commited on
Commit
c0ad140
·
verified ·
1 Parent(s): 6f1feb5

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

Browse files
cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "prefill": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 952.795136,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
@@ -10,48 +10,50 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 11,
14
- "total": 0.6383326590000138,
15
- "mean": 0.05803024172727398,
16
- "stdev": 0.002777207257126519,
17
- "p50": 0.057320351000015535,
18
- "p90": 0.060217708999999786,
19
- "p95": 0.06226782999999614,
20
- "p99": 0.06390792679999323,
21
  "values": [
22
- 0.05933693899999071,
23
- 0.059465590000002067,
24
- 0.0597518859999866,
25
- 0.06431795099999249,
26
- 0.05554175800000394,
27
- 0.056214379000010695,
28
- 0.05601956399999608,
29
- 0.060217708999999786,
30
- 0.05613758500001609,
31
- 0.05400894699999981,
32
- 0.057320351000015535
 
 
33
  ]
34
  },
35
  "throughput": {
36
  "unit": "tokens/s",
37
- "value": 34.464788366718246
38
  },
39
  "energy": {
40
  "unit": "kWh",
41
- "cpu": 2.1882351533866227e-06,
42
- "ram": 9.144106055632367e-08,
43
  "gpu": 0.0,
44
- "total": 2.279676213942946e-06
45
  },
46
  "efficiency": {
47
  "unit": "tokens/kWh",
48
- "value": 877317.5715777568
49
  }
50
  },
51
  "decode": {
52
  "memory": {
53
  "unit": "MB",
54
- "max_ram": 952.795136,
55
  "max_global_vram": null,
56
  "max_process_vram": null,
57
  "max_reserved": null,
@@ -59,72 +61,76 @@
59
  },
60
  "latency": {
61
  "unit": "s",
62
- "count": 11,
63
- "total": 0.39245878199992035,
64
- "mean": 0.03567807109090185,
65
- "stdev": 0.0026861941941847167,
66
- "p50": 0.03431401800000344,
67
- "p90": 0.038771668999999065,
68
- "p95": 0.03983036749998803,
69
- "p99": 0.0406773262999792,
70
  "values": [
71
- 0.038771668999999065,
72
- 0.03431401800000344,
73
- 0.038533021999995754,
74
- 0.03319226599998615,
75
- 0.03310243799998602,
76
- 0.03294136599998865,
77
- 0.03390299400001595,
78
- 0.03794973899999832,
79
- 0.03510635199998546,
80
- 0.03375585199998454,
81
- 0.04088906599997699
 
 
82
  ]
83
  },
84
  "throughput": {
85
  "unit": "tokens/s",
86
- "value": 28.028421083980824
87
  },
88
  "energy": {
89
  "unit": "kWh",
90
- "cpu": 1.2419237398806917e-06,
91
- "ram": 5.190814080657607e-08,
92
  "gpu": 0.0,
93
- "total": 1.2938318806872675e-06
94
  },
95
  "efficiency": {
96
  "unit": "tokens/kWh",
97
- "value": 772897.9436407243
98
  }
99
  },
100
  "per_token": {
101
  "memory": null,
102
  "latency": {
103
  "unit": "s",
104
- "count": 10,
105
- "total": 0.9330569309999817,
106
- "mean": 0.09330569309999817,
107
- "stdev": 0.004183401697467714,
108
- "p50": 0.09261663849999024,
109
- "p90": 0.09815250730000571,
110
- "p95": 0.09817963464999764,
111
- "p99": 0.09820133652999118,
112
  "values": [
113
- 0.0939672379999763,
114
- 0.0981464790000075,
115
- 0.09771918900000287,
116
- 0.08865479499999651,
117
- 0.08916938000001551,
118
- 0.08998324099999877,
119
- 0.09814281199999186,
120
- 0.09126603900000418,
121
- 0.08780099599999858,
122
- 0.09820676199998957
 
 
123
  ]
124
  },
125
  "throughput": {
126
  "unit": "tokens/s",
127
- "value": 10.717459640198735
128
  },
129
  "energy": null,
130
  "efficiency": null
 
2
  "prefill": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 956.8256,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
10
  },
11
  "latency": {
12
  "unit": "s",
13
+ "count": 13,
14
+ "total": 0.6219809429999827,
15
+ "mean": 0.0478446879230756,
16
+ "stdev": 0.000811586685782954,
17
+ "p50": 0.048065213999962,
18
+ "p90": 0.04858335019998776,
19
+ "p95": 0.048702704599998016,
20
+ "p99": 0.048810608120008966,
21
  "values": [
22
+ 0.04804461600002696,
23
+ 0.048465610999983255,
24
+ 0.04861278499998889,
25
+ 0.0488375840000117,
26
+ 0.04836251899996569,
27
+ 0.045606254000006174,
28
+ 0.047167433000026904,
29
+ 0.047654250000050524,
30
+ 0.047280934000013985,
31
+ 0.0482910160000074,
32
+ 0.048126067999987754,
33
+ 0.047466658999951505,
34
+ 0.048065213999962
35
  ]
36
  },
37
  "throughput": {
38
  "unit": "tokens/s",
39
+ "value": 41.80192382518176
40
  },
41
  "energy": {
42
  "unit": "kWh",
43
+ "cpu": 1.6345091440059522e-06,
44
+ "ram": 6.830680039653221e-08,
45
  "gpu": 0.0,
46
+ "total": 1.7028159444024843e-06
47
  },
48
  "efficiency": {
49
  "unit": "tokens/kWh",
50
+ "value": 1174525.060429709
51
  }
52
  },
53
  "decode": {
54
  "memory": {
55
  "unit": "MB",
56
+ "max_ram": 956.8256,
57
  "max_global_vram": null,
58
  "max_process_vram": null,
59
  "max_reserved": null,
 
61
  },
62
  "latency": {
63
  "unit": "s",
64
+ "count": 13,
65
+ "total": 0.39072484399991936,
66
+ "mean": 0.03005575723076303,
67
+ "stdev": 0.0004925865733221267,
68
+ "p50": 0.03009674800000539,
69
+ "p90": 0.030735641800026768,
70
+ "p95": 0.030882855400000152,
71
+ "p99": 0.030980324679962905,
72
  "values": [
73
+ 0.029936168999995516,
74
+ 0.030471685000009074,
75
+ 0.03024234899999101,
76
+ 0.030145797999978186,
77
+ 0.029653461999998854,
78
+ 0.030801631000031193,
79
+ 0.03009674800000539,
80
+ 0.02937488299994584,
81
+ 0.03002595499998506,
82
+ 0.031004691999953593,
83
+ 0.030148359000008895,
84
+ 0.029392190000010032,
85
+ 0.029430923000006715
86
  ]
87
  },
88
  "throughput": {
89
  "unit": "tokens/s",
90
+ "value": 33.271495784390616
91
  },
92
  "energy": {
93
  "unit": "kWh",
94
+ "cpu": 9.785618384679161e-07,
95
+ "ram": 4.089793152646829e-08,
96
  "gpu": 0.0,
97
+ "total": 1.0194597699943845e-06
98
  },
99
  "efficiency": {
100
  "unit": "tokens/kWh",
101
+ "value": 980911.6842398875
102
  }
103
  },
104
  "per_token": {
105
  "memory": null,
106
  "latency": {
107
  "unit": "s",
108
+ "count": 12,
109
+ "total": 0.9348950980000268,
110
+ "mean": 0.07790792483333557,
111
+ "stdev": 0.0009168054790122415,
112
+ "p50": 0.07781592550000482,
113
+ "p90": 0.07902765240002622,
114
+ "p95": 0.07911032395001313,
115
+ "p99": 0.07918034159000228,
116
  "values": [
117
+ 0.07892808900004411,
118
+ 0.07882882499995958,
119
+ 0.07903871500002424,
120
+ 0.07811028700001543,
121
+ 0.07634774299998526,
122
+ 0.07728256500001862,
123
+ 0.07710626599998704,
124
+ 0.0773395499999765,
125
+ 0.07919784599999957,
126
+ 0.07833176299999423,
127
+ 0.076861885000028,
128
+ 0.07752156399999421
129
  ]
130
  },
131
  "throughput": {
132
  "unit": "tokens/s",
133
+ "value": 12.835664691868622
134
  },
135
  "energy": null,
136
  "efficiency": null