Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
ef3923e
·
verified ·
1 Parent(s): 1ce7d19

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 +93 -90
cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1121.161216,
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": 4.999508577000029,
15
- "mean": 4.999508577000029,
16
  "stdev": 0.0,
17
- "p50": 4.999508577000029,
18
- "p90": 4.999508577000029,
19
- "p95": 4.999508577000029,
20
- "p99": 4.999508577000029,
21
  "values": [
22
- 4.999508577000029
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 6.901350286271837e-05,
29
- "ram": 2.884585809480314e-06,
30
  "gpu": 0,
31
- "total": 7.189808867219869e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 974.78656,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -43,51 +43,52 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 14,
47
- "total": 0.6536937339998872,
48
- "mean": 0.04669240957142051,
49
- "stdev": 0.002411470177445133,
50
- "p50": 0.045245096999991574,
51
- "p90": 0.05004423239998346,
52
- "p95": 0.050440481049975006,
53
- "p99": 0.05058298340996999,
54
  "values": [
55
- 0.04493532700001879,
56
- 0.04454583899996578,
57
- 0.044629565999969145,
58
- 0.044714354000007006,
59
- 0.04466232599997966,
60
- 0.046878152000033424,
61
- 0.044811956999978975,
62
- 0.04929482300002519,
63
- 0.05061860899996873,
64
- 0.04934345399999529,
65
- 0.050344565999978386,
66
- 0.049326592999989316,
67
- 0.04555486699996436,
68
- 0.044033301000013125
 
69
  ]
70
  },
71
  "throughput": {
72
  "unit": "tokens/s",
73
- "value": 42.833514448227575
74
  },
75
  "energy": {
76
  "unit": "kWh",
77
- "cpu": 1.739835796724771e-06,
78
- "ram": 7.271002312108975e-08,
79
  "gpu": 0.0,
80
- "total": 1.8125458198458607e-06
81
  },
82
  "efficiency": {
83
  "unit": "tokens/kWh",
84
- "value": 1103420.3814886624
85
  }
86
  },
87
  "decode": {
88
  "memory": {
89
  "unit": "MB",
90
- "max_ram": 975.572992,
91
  "max_global_vram": null,
92
  "max_process_vram": null,
93
  "max_reserved": null,
@@ -95,79 +96,81 @@
95
  },
96
  "latency": {
97
  "unit": "s",
98
- "count": 14,
99
- "total": 0.4064616420001812,
100
- "mean": 0.029032974428584372,
101
- "stdev": 0.0018256324536103873,
102
- "p50": 0.028632922000014105,
103
- "p90": 0.03136768960002882,
104
- "p95": 0.03143494605001536,
105
- "p99": 0.03148326600999155,
106
  "values": [
107
- 0.027487650000011854,
108
- 0.02909272200002988,
109
- 0.027609678000033,
110
- 0.02690113199997768,
111
- 0.02817312199999833,
112
- 0.02711192599997503,
113
- 0.030766914000025736,
114
- 0.0314953459999856,
115
- 0.031402423000031376,
116
- 0.030323805000023185,
117
- 0.03128664500002287,
118
- 0.030804454000019632,
119
- 0.02748215900004425,
120
- 0.026523666000002777
 
121
  ]
122
  },
123
  "throughput": {
124
  "unit": "tokens/s",
125
- "value": 34.44359455693425
126
  },
127
  "energy": {
128
  "unit": "kWh",
129
- "cpu": 1.0445743444077246e-06,
130
- "ram": 4.365581908950847e-08,
131
  "gpu": 0.0,
132
- "total": 1.0882301634972342e-06
133
  },
134
  "efficiency": {
135
  "unit": "tokens/kWh",
136
- "value": 918923.2512966836
137
  }
138
  },
139
  "per_token": {
140
  "memory": null,
141
  "latency": {
142
  "unit": "s",
143
- "count": 14,
144
- "total": 0.4006024190001085,
145
- "mean": 0.02861445850000775,
146
- "stdev": 0.0017559117726899736,
147
- "p50": 0.028268575500021598,
148
- "p90": 0.030864076600016686,
149
- "p95": 0.030932095500008926,
150
- "p99": 0.030976560699989476,
151
  "values": [
152
- 0.02713259500001186,
153
- 0.028736576000028435,
154
- 0.027271855000037704,
155
- 0.026549083999952927,
156
- 0.02780057500001476,
157
- 0.026748345999976664,
158
- 0.030257349999999406,
159
- 0.030987676999984615,
160
- 0.03090216700002202,
161
- 0.029830251000021235,
162
- 0.03077519900000425,
163
- 0.03031315399999812,
164
- 0.027104944000029718,
165
- 0.026192646000026798
 
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "tokens/s",
170
- "value": 34.947367604378364
171
  },
172
  "energy": null,
173
  "efficiency": null
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1111.650304,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.901883800999997,
15
+ "mean": 4.901883800999997,
16
  "stdev": 0.0,
17
+ "p50": 4.901883800999997,
18
+ "p90": 4.901883800999997,
19
+ "p95": 4.901883800999997,
20
+ "p99": 4.901883800999997,
21
  "values": [
22
+ 4.901883800999997
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 6.797731982337105e-05,
29
+ "ram": 2.841277121741541e-06,
30
  "gpu": 0,
31
+ "total": 7.081859694511259e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 965.12,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 15,
47
+ "total": 0.6427246509999804,
48
+ "mean": 0.04284831006666536,
49
+ "stdev": 0.0006311636538063451,
50
+ "p50": 0.04278591600001391,
51
+ "p90": 0.04331277199998453,
52
+ "p95": 0.043821338699984835,
53
+ "p99": 0.04462887494000256,
54
  "values": [
55
+ 0.04290019900000175,
56
+ 0.042539415999982566,
57
+ 0.04284888300000489,
58
+ 0.04234945199999629,
59
+ 0.043198834999998326,
60
+ 0.042836270000009335,
61
+ 0.042018354999981966,
62
+ 0.04278591600001391,
63
+ 0.04268017800001189,
64
+ 0.04483075900000699,
65
+ 0.0421879600000068,
66
+ 0.04256924200001322,
67
+ 0.04338872999997534,
68
+ 0.04264891999997644,
69
+ 0.042941536000000724
70
  ]
71
  },
72
  "throughput": {
73
  "unit": "tokens/s",
74
+ "value": 46.676286576723996
75
  },
76
  "energy": {
77
  "unit": "kWh",
78
+ "cpu": 1.646887041904308e-06,
79
+ "ram": 6.882567059250277e-08,
80
  "gpu": 0.0,
81
+ "total": 1.715712712496811e-06
82
  },
83
  "efficiency": {
84
  "unit": "tokens/kWh",
85
+ "value": 1165696.3228357018
86
  }
87
  },
88
  "decode": {
89
  "memory": {
90
  "unit": "MB",
91
+ "max_ram": 966.037504,
92
  "max_global_vram": null,
93
  "max_process_vram": null,
94
  "max_reserved": null,
 
96
  },
97
  "latency": {
98
  "unit": "s",
99
+ "count": 15,
100
+ "total": 0.3996268129999976,
101
+ "mean": 0.026641787533333173,
102
+ "stdev": 0.0008989096825519444,
103
+ "p50": 0.02651713799997424,
104
+ "p90": 0.027096696600006,
105
+ "p95": 0.027840602800009148,
106
+ "p99": 0.029226662160004364,
107
  "values": [
108
+ 0.02651713799997424,
109
+ 0.027098071000011714,
110
+ 0.026098707999977933,
111
+ 0.026627662999999302,
112
+ 0.02689267800002426,
113
+ 0.02626641000000518,
114
+ 0.02607407100001069,
115
+ 0.025817552999995996,
116
+ 0.026958922000005714,
117
+ 0.027094634999997425,
118
+ 0.026728331999976263,
119
+ 0.02957317700000317,
120
+ 0.02574777300000619,
121
+ 0.025948958000014954,
122
+ 0.02618272399999455
123
  ]
124
  },
125
  "throughput": {
126
  "unit": "tokens/s",
127
+ "value": 37.53501895279507
128
  },
129
  "energy": {
130
  "unit": "kWh",
131
+ "cpu": 9.557827976014885e-07,
132
+ "ram": 3.994575742541429e-08,
133
  "gpu": 0.0,
134
+ "total": 9.957285550269022e-07
135
  },
136
  "efficiency": {
137
  "unit": "tokens/kWh",
138
+ "value": 1004289.7684831208
139
  }
140
  },
141
  "per_token": {
142
  "memory": null,
143
  "latency": {
144
  "unit": "s",
145
+ "count": 15,
146
+ "total": 0.39444449099997314,
147
+ "mean": 0.02629629939999821,
148
+ "stdev": 0.0008606880006024261,
149
+ "p50": 0.026196389999995517,
150
+ "p90": 0.02676578580000637,
151
+ "p95": 0.027459940200003526,
152
+ "p99": 0.028752411239986484,
153
  "values": [
154
+ 0.026196389999995517,
155
+ 0.02676754500001266,
156
+ 0.02577056599997718,
157
+ 0.026258134000016753,
158
+ 0.026552674000015486,
159
+ 0.025931154999994988,
160
+ 0.025736410999996906,
161
+ 0.02546874300000468,
162
+ 0.026586347000005617,
163
+ 0.026763146999996934,
164
+ 0.02640369699997791,
165
+ 0.029075528999982225,
166
+ 0.025435912000006056,
167
+ 0.025631505999996307,
168
+ 0.025866734999993923
169
  ]
170
  },
171
  "throughput": {
172
  "unit": "tokens/s",
173
+ "value": 38.02816452569247
174
  },
175
  "energy": null,
176
  "efficiency": null