Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
f580298
•
1 Parent(s): bb87513

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 +87 -87
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": 1110.061056,
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": 4.858304669000006,
15
- "mean": 4.858304669000006,
16
  "stdev": 0.0,
17
- "p50": 4.858304669000006,
18
- "p90": 4.858304669000006,
19
- "p95": 4.858304669000006,
20
- "p99": 4.858304669000006,
21
  "values": [
22
- 4.858304669000006
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 6.843666938888824e-05,
29
- "ram": 2.860479591345389e-06,
30
  "gpu": 0,
31
- "total": 7.129714898023363e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
- "max_ram": 963.657728,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
@@ -44,50 +44,50 @@
44
  "latency": {
45
  "unit": "s",
46
  "count": 14,
47
- "total": 0.6401710600001138,
48
- "mean": 0.04572650428572241,
49
- "stdev": 0.0016499310523850604,
50
- "p50": 0.04607061400000134,
51
- "p90": 0.04719987379999111,
52
- "p95": 0.047637014799977354,
53
- "p99": 0.048202092559970426,
54
  "values": [
55
- 0.0455019490000268,
56
- 0.04834336199996869,
57
- 0.04639510600003405,
58
- 0.04450176000000283,
59
- 0.04689356600005112,
60
- 0.04706734000001234,
61
- 0.04516147300000739,
62
- 0.045936047999987295,
63
- 0.04642333800001097,
64
- 0.04429083700000547,
65
- 0.04725667399998201,
66
- 0.04620518000001539,
67
- 0.04494109099999832,
68
- 0.04125333600001113
69
  ]
70
  },
71
  "throughput": {
72
  "unit": "tokens/s",
73
- "value": 43.738309569937485
74
  },
75
  "energy": {
76
  "unit": "kWh",
77
- "cpu": 1.6305950175926005e-06,
78
- "ram": 6.814507261265262e-08,
79
  "gpu": 0.0,
80
- "total": 1.6987400902052531e-06
81
  },
82
  "efficiency": {
83
  "unit": "tokens/kWh",
84
- "value": 1177343.144799948
85
  }
86
  },
87
  "decode": {
88
  "memory": {
89
  "unit": "MB",
90
- "max_ram": 964.44416,
91
  "max_global_vram": null,
92
  "max_process_vram": null,
93
  "max_reserved": null,
@@ -96,44 +96,44 @@
96
  "latency": {
97
  "unit": "s",
98
  "count": 14,
99
- "total": 0.40346626699994204,
100
- "mean": 0.02881901907142443,
101
- "stdev": 0.0017166671012040784,
102
- "p50": 0.02918174749999025,
103
- "p90": 0.030483149499974615,
104
- "p95": 0.030877275899976554,
105
- "p99": 0.03108483597999509,
106
  "values": [
107
- 0.031136725999999726,
108
- 0.029369617000043036,
109
- 0.029224044999978105,
110
- 0.02932829000002357,
111
- 0.030737571999964075,
112
- 0.02900789199998144,
113
- 0.02988949699999921,
114
- 0.029377882000005684,
115
- 0.02866887800001905,
116
- 0.028828345999954763,
117
- 0.02884727200000725,
118
- 0.029139450000002398,
119
- 0.024993736999988414,
120
- 0.024917062999975315
121
  ]
122
  },
123
  "throughput": {
124
  "unit": "tokens/s",
125
- "value": 34.69930734011528
126
  },
127
  "energy": {
128
  "unit": "kWh",
129
- "cpu": 1.0826465105555053e-06,
130
- "ram": 4.524749446835485e-08,
131
  "gpu": 0.0,
132
- "total": 1.1278940050238599e-06
133
  },
134
  "efficiency": {
135
  "unit": "tokens/kWh",
136
- "value": 886608.1347589445
137
  }
138
  },
139
  "per_token": {
@@ -141,33 +141,33 @@
141
  "latency": {
142
  "unit": "s",
143
  "count": 14,
144
- "total": 0.3969153629998914,
145
- "mean": 0.028351097357135098,
146
- "stdev": 0.001669565522002478,
147
- "p50": 0.028669690999976183,
148
- "p90": 0.029993169899984195,
149
- "p95": 0.030384435349975546,
150
- "p99": 0.03059659586996645,
151
  "values": [
152
- 0.030649635999964175,
153
- 0.02886518600001864,
154
- 0.028719562999981463,
155
- 0.028842262000011942,
156
- 0.03024163499998167,
157
- 0.028543694999996205,
158
- 0.029413417999990088,
159
- 0.028889821000007032,
160
- 0.02821379900001375,
161
- 0.028339041999970505,
162
- 0.02835566400000289,
163
- 0.028619818999970903,
164
- 0.02462713199997779,
165
- 0.02459469100000433
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "tokens/s",
170
- "value": 35.272003316243094
171
  },
172
  "energy": null,
173
  "efficiency": null
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1120.673792,
6
  "max_global_vram": null,
7
  "max_process_vram": null,
8
  "max_reserved": null,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 4.951380179000012,
15
+ "mean": 4.951380179000012,
16
  "stdev": 0.0,
17
+ "p50": 4.951380179000012,
18
+ "p90": 4.951380179000012,
19
+ "p95": 4.951380179000012,
20
+ "p99": 4.951380179000012,
21
  "values": [
22
+ 4.951380179000012
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 6.907910442222216e-05,
29
+ "ram": 2.887335711031522e-06,
30
  "gpu": 0,
31
+ "total": 7.196644013325369e-05
32
  },
33
  "efficiency": null
34
  },
35
  "prefill": {
36
  "memory": {
37
  "unit": "MB",
38
+ "max_ram": 974.143488,
39
  "max_global_vram": null,
40
  "max_process_vram": null,
41
  "max_reserved": null,
 
44
  "latency": {
45
  "unit": "s",
46
  "count": 14,
47
+ "total": 0.6282671150000283,
48
+ "mean": 0.04487622250000202,
49
+ "stdev": 0.0025580467398338947,
50
+ "p50": 0.044886641000005056,
51
+ "p90": 0.04818485429999555,
52
+ "p95": 0.048596968749970416,
53
+ "p99": 0.048922168949958975,
54
  "values": [
55
+ 0.046761202000027424,
56
+ 0.04900346899995611,
57
+ 0.04773398500003623,
58
+ 0.04547815300003322,
59
+ 0.048378083999978116,
60
+ 0.04544010199998638,
61
+ 0.04199639799998067,
62
+ 0.04263835299997254,
63
+ 0.04359836200001155,
64
+ 0.04433318000002373,
65
+ 0.04246567200004847,
66
+ 0.047377950999987206,
67
+ 0.04118855399997301,
68
+ 0.04187365000001364
69
  ]
70
  },
71
  "throughput": {
72
  "unit": "tokens/s",
73
+ "value": 44.56703101514193
74
  },
75
  "energy": {
76
  "unit": "kWh",
77
+ "cpu": 1.6872348629629256e-06,
78
+ "ram": 7.051244712126714e-08,
79
  "gpu": 0.0,
80
+ "total": 1.7577473100841928e-06
81
  },
82
  "efficiency": {
83
  "unit": "tokens/kWh",
84
+ "value": 1137819.9747631552
85
  }
86
  },
87
  "decode": {
88
  "memory": {
89
  "unit": "MB",
90
+ "max_ram": 974.798848,
91
  "max_global_vram": null,
92
  "max_process_vram": null,
93
  "max_reserved": null,
 
96
  "latency": {
97
  "unit": "s",
98
  "count": 14,
99
+ "total": 0.38019824100007327,
100
+ "mean": 0.027157017214290948,
101
+ "stdev": 0.0016913367913499366,
102
+ "p50": 0.02652138150003225,
103
+ "p90": 0.02990361449997181,
104
+ "p95": 0.030082794199989847,
105
+ "p99": 0.030326243640025723,
106
  "values": [
107
+ 0.029867868999986058,
108
+ 0.03038710600003469,
109
+ 0.028403250999986085,
110
+ 0.029918933999965702,
111
+ 0.026827366000020447,
112
+ 0.026010444999997162,
113
+ 0.02583866500003751,
114
+ 0.026505006000036246,
115
+ 0.02681026400000519,
116
+ 0.026332734999982677,
117
+ 0.02635287199996128,
118
+ 0.02653775700002825,
119
+ 0.02533035800001926,
120
+ 0.02507561300001271
121
  ]
122
  },
123
  "throughput": {
124
  "unit": "tokens/s",
125
+ "value": 36.82289524321419
126
  },
127
  "energy": {
128
  "unit": "kWh",
129
+ "cpu": 1.006280074074063e-06,
130
+ "ram": 4.2054794630134116e-08,
131
  "gpu": 0.0,
132
+ "total": 1.0483348687041972e-06
133
  },
134
  "efficiency": {
135
  "unit": "tokens/kWh",
136
+ "value": 953893.674485957
137
  }
138
  },
139
  "per_token": {
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 14,
144
+ "total": 0.374511580999922,
145
+ "mean": 0.026750827214280144,
146
+ "stdev": 0.0016268243078416131,
147
+ "p50": 0.026178117000029033,
148
+ "p90": 0.029391921999967964,
149
+ "p95": 0.029568790299981627,
150
+ "p99": 0.029802955660006774,
151
  "values": [
152
+ 0.029346988999975565,
153
+ 0.02986149700001306,
154
+ 0.027940238999974554,
155
+ 0.029411178999964704,
156
+ 0.0264470380000148,
157
+ 0.025657186999978876,
158
+ 0.025496748000023217,
159
+ 0.0261564770000291,
160
+ 0.026443320999987918,
161
+ 0.02597231400000055,
162
+ 0.025830508999945323,
163
+ 0.026199757000028967,
164
+ 0.02500447099998837,
165
+ 0.024743854999996984
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "tokens/s",
170
+ "value": 37.38202157225925
171
  },
172
  "energy": null,
173
  "efficiency": null