Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
152c514
•
1 Parent(s): 108d65a

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

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json +83 -77
cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json CHANGED
@@ -73,14 +73,14 @@
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
- "cpu_ram_mb": 16757.342208,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
- "optimum_benchmark_commit": "40cdab56663479e2e7275c1c80c2a04578a9eafc",
84
  "transformers_version": "4.40.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
99
  "prefill": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 948.854784,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,50 +107,52 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 13,
111
- "total": 0.6401660989999982,
112
- "mean": 0.04924354607692294,
113
- "stdev": 0.0021440113891737817,
114
- "p50": 0.049729882000008274,
115
- "p90": 0.05126852980000649,
116
- "p95": 0.05144384919999538,
117
- "p99": 0.05157724263998716,
118
  "values": [
119
- 0.051332688000002236,
120
- 0.05101189700002351,
121
- 0.049090221000000156,
122
- 0.05016652999998428,
123
- 0.05063057800001047,
124
- 0.04754371999999307,
125
- 0.04859973099999593,
126
- 0.04889405199998009,
127
- 0.04873199799999384,
128
- 0.04986942300001829,
129
- 0.049729882000008274,
130
- 0.051610590999985106,
131
- 0.042954788000002964
 
 
132
  ]
133
  },
134
  "throughput": {
135
  "unit": "tokens/s",
136
- "value": 40.614459342059085
137
  },
138
  "energy": {
139
  "unit": "kWh",
140
- "cpu": 1.6426015231344437e-06,
141
- "ram": 6.864565053732008e-08,
142
  "gpu": 0.0,
143
- "total": 1.7112471736717638e-06
144
  },
145
  "efficiency": {
146
  "unit": "tokens/kWh",
147
- "value": 1168738.2341784497
148
  }
149
  },
150
  "decode": {
151
  "memory": {
152
  "unit": "MB",
153
- "max_ram": 948.854784,
154
  "max_global_vram": null,
155
  "max_process_vram": null,
156
  "max_reserved": null,
@@ -158,76 +160,80 @@
158
  },
159
  "latency": {
160
  "unit": "s",
161
- "count": 13,
162
- "total": 0.38900748100002147,
163
- "mean": 0.029923652384617035,
164
- "stdev": 0.0016211185072591183,
165
- "p50": 0.030636574999988397,
166
- "p90": 0.031217832600020756,
167
- "p95": 0.031269527800014886,
168
- "p99": 0.03127888636000648,
169
  "values": [
170
- 0.03126172900002189,
171
- 0.030636574999988397,
172
- 0.03099395600000321,
173
- 0.03128122600000438,
174
- 0.029306249000001117,
175
- 0.029724222999988115,
176
- 0.031042247000016232,
177
- 0.030328346999993983,
178
- 0.030649780000004512,
179
- 0.03087839899998812,
180
- 0.030180309000002126,
181
- 0.026071700000017017,
182
- 0.026652740999992375
 
 
183
  ]
184
  },
185
  "throughput": {
186
  "unit": "tokens/s",
187
- "value": 33.41838045525732
188
  },
189
  "energy": {
190
  "unit": "kWh",
191
- "cpu": 9.346199532349906e-07,
192
- "ram": 3.9062220221950386e-08,
193
  "gpu": 0.0,
194
- "total": 9.73682173456941e-07
195
  },
196
  "efficiency": {
197
  "unit": "tokens/kWh",
198
- "value": 1027029.1757007533
199
  }
200
  },
201
  "per_token": {
202
  "memory": null,
203
  "latency": {
204
  "unit": "s",
205
- "count": 12,
206
- "total": 0.9469444380000027,
207
- "mean": 0.07891203650000023,
208
- "stdev": 0.003054696336697735,
209
- "p50": 0.07976452249998545,
210
- "p90": 0.08141053410000723,
211
- "p95": 0.08154644330000878,
212
- "p99": 0.08160853346000949,
213
  "values": [
214
- 0.08162405600000966,
215
- 0.08011603699998204,
216
- 0.08148294200000805,
217
- 0.08000816099999497,
218
- 0.07728233900002124,
219
- 0.07960436699997331,
220
- 0.07925097400001846,
221
- 0.07940003299998466,
222
- 0.08075886299999979,
223
- 0.07992467799999758,
224
- 0.07787260700001752,
225
- 0.06961938099999543
 
 
226
  ]
227
  },
228
  "throughput": {
229
  "unit": "tokens/s",
230
- "value": 12.672338015253189
231
  },
232
  "energy": null,
233
  "efficiency": null
 
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
+ "cpu_ram_mb": 16757.346304,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
+ "optimum_benchmark_commit": "3b17890e550ffe969ad275a1b08288c6015397d9",
84
  "transformers_version": "4.40.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
 
99
  "prefill": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 959.213568,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
107
  },
108
  "latency": {
109
  "unit": "s",
110
+ "count": 15,
111
+ "total": 0.6432671100000391,
112
+ "mean": 0.04288447400000261,
113
+ "stdev": 0.0006131960096328534,
114
+ "p50": 0.04273281500002213,
115
+ "p90": 0.04365834460001565,
116
+ "p95": 0.04395496820001199,
117
+ "p99": 0.044244434440008716,
118
  "values": [
119
+ 0.04379989700001374,
120
+ 0.04344601600001852,
121
+ 0.04252090999997904,
122
+ 0.04273281500002213,
123
+ 0.042765174999999545,
124
+ 0.04289095400000065,
125
+ 0.0443168010000079,
126
+ 0.04272660400002337,
127
+ 0.04321895300000733,
128
+ 0.042399514000010186,
129
+ 0.04325059100000317,
130
+ 0.042260153000000855,
131
+ 0.04252561899997431,
132
+ 0.0418052649999936,
133
+ 0.04260784299998477
134
  ]
135
  },
136
  "throughput": {
137
  "unit": "tokens/s",
138
+ "value": 46.63692505590434
139
  },
140
  "energy": {
141
  "unit": "kWh",
142
+ "cpu": 1.6362696334167766e-06,
143
+ "ram": 6.838202435243407e-08,
144
  "gpu": 0.0,
145
+ "total": 1.7046516577692106e-06
146
  },
147
  "efficiency": {
148
  "unit": "tokens/kWh",
149
+ "value": 1173260.2323088674
150
  }
151
  },
152
  "decode": {
153
  "memory": {
154
  "unit": "MB",
155
+ "max_ram": 959.213568,
156
  "max_global_vram": null,
157
  "max_process_vram": null,
158
  "max_reserved": null,
 
160
  },
161
  "latency": {
162
  "unit": "s",
163
+ "count": 15,
164
+ "total": 0.40162400400001275,
165
+ "mean": 0.02677493360000085,
166
+ "stdev": 0.0009793670233713997,
167
+ "p50": 0.02653633799999966,
168
+ "p90": 0.027721777799996516,
169
+ "p95": 0.028593429400007152,
170
+ "p99": 0.02956511228002,
171
  "values": [
172
+ 0.02653633799999966,
173
+ 0.026568989999987025,
174
+ 0.026909554000013713,
175
+ 0.02618327999999792,
176
+ 0.026637598000007756,
177
+ 0.02807288500000027,
178
+ 0.026492405999988478,
179
+ 0.026366701999990028,
180
+ 0.026629262000000153,
181
+ 0.027195116999990887,
182
+ 0.02634892899999386,
183
+ 0.02603897100001973,
184
+ 0.029808033000023215,
185
+ 0.02548179100000425,
186
+ 0.026354147999995803
187
  ]
188
  },
189
  "throughput": {
190
  "unit": "tokens/s",
191
+ "value": 37.34836526354517
192
  },
193
  "energy": {
194
  "unit": "kWh",
195
+ "cpu": 9.886841310395135e-07,
196
+ "ram": 4.132014078664287e-08,
197
  "gpu": 0.0,
198
+ "total": 1.0300042718261557e-06
199
  },
200
  "efficiency": {
201
  "unit": "tokens/kWh",
202
+ "value": 970869.7598186079
203
  }
204
  },
205
  "per_token": {
206
  "memory": null,
207
  "latency": {
208
  "unit": "s",
209
+ "count": 14,
210
+ "total": 0.9748128969999925,
211
+ "mean": 0.0696294926428566,
212
+ "stdev": 0.001117507853519043,
213
+ "p50": 0.06950122199999953,
214
+ "p90": 0.0709310381000023,
215
+ "p95": 0.07139638105000187,
216
+ "p99": 0.07202770420999116,
217
  "values": [
218
+ 0.07002267000001439,
219
+ 0.06940666999997802,
220
+ 0.06898561400001313,
221
+ 0.06941038799999433,
222
+ 0.0709714520000091,
223
+ 0.07083673899998644,
224
+ 0.06910846400000992,
225
+ 0.06987409199999206,
226
+ 0.06959205600000473,
227
+ 0.06961640099999045,
228
+ 0.0683459920000189,
229
+ 0.07218553499998848,
230
+ 0.06748049600000172,
231
+ 0.06897632799999087
232
  ]
233
  },
234
  "throughput": {
235
  "unit": "tokens/s",
236
+ "value": 14.361730382399843
237
  },
238
  "energy": null,
239
  "efficiency": null