Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
5a7ec89
·
verified ·
1 Parent(s): 04f308a

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 +79 -82
cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json CHANGED
@@ -80,7 +80,7 @@
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.1",
83
- "optimum_benchmark_commit": "3b8c49a169ebd79001b2a83fbf2b332612417102",
84
  "transformers_version": "4.42.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.31.0",
@@ -99,7 +99,7 @@
99
  "prefill": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 956.985344,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,52 +107,51 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 15,
111
- "total": 0.6619469620000586,
112
- "mean": 0.044129797466670576,
113
- "stdev": 0.002180577741411704,
114
- "p50": 0.043776980000018284,
115
- "p90": 0.04781995980001739,
116
- "p95": 0.048631943099991304,
117
- "p99": 0.04880535661996532,
118
  "values": [
119
- 0.04884870999995883,
120
- 0.04853904300000522,
121
- 0.043825962000028085,
122
- 0.04322396699996034,
123
- 0.04261489099997107,
124
- 0.04489405600003238,
125
- 0.043776980000018284,
126
- 0.042662579000023015,
127
- 0.04390447699995548,
128
- 0.04674133500003563,
129
- 0.0427032950000239,
130
- 0.04433308800003033,
131
- 0.041481443999998646,
132
- 0.04194865600004505,
133
- 0.042448478999972394
134
  ]
135
  },
136
  "throughput": {
137
  "unit": "tokens/s",
138
- "value": 45.32085155184585
139
  },
140
  "energy": {
141
  "unit": "kWh",
142
- "cpu": 1.6324496379605049e-06,
143
- "ram": 6.821928384880493e-08,
144
  "gpu": 0.0,
145
- "total": 1.7006689218093096e-06
146
  },
147
  "efficiency": {
148
  "unit": "tokens/kWh",
149
- "value": 1176007.8486483057
150
  }
151
  },
152
  "decode": {
153
  "memory": {
154
  "unit": "MB",
155
- "max_ram": 956.985344,
156
  "max_global_vram": null,
157
  "max_process_vram": null,
158
  "max_reserved": null,
@@ -160,80 +159,78 @@
160
  },
161
  "latency": {
162
  "unit": "s",
163
- "count": 15,
164
- "total": 0.3971508969999604,
165
- "mean": 0.02647672646666403,
166
- "stdev": 0.0011445116238779911,
167
- "p50": 0.026342206000038004,
168
- "p90": 0.027135782200002723,
169
- "p95": 0.0282082983000123,
170
- "p99": 0.029789475660006698,
171
  "values": [
172
- 0.0301847700000053,
173
- 0.026545234000025175,
174
- 0.026655189999985396,
175
- 0.026127936000023055,
176
- 0.026617179000027136,
177
- 0.026797596999983853,
178
- 0.02609939299998132,
179
- 0.026398731999961456,
180
- 0.026342206000038004,
181
- 0.026330413999971825,
182
- 0.027361239000015303,
183
- 0.025051926999992702,
184
- 0.025565955999979906,
185
- 0.02543549299997494,
186
- 0.025637630999995054
187
  ]
188
  },
189
  "throughput": {
190
  "unit": "tokens/s",
191
- "value": 37.76901956739505
192
  },
193
  "energy": {
194
  "unit": "kWh",
195
- "cpu": 9.56197055401625e-07,
196
- "ram": 3.9965275882281064e-08,
197
  "gpu": 0.0,
198
- "total": 9.961623312839072e-07
199
  },
200
  "efficiency": {
201
  "unit": "tokens/kWh",
202
- "value": 1003852.4531550462
203
  }
204
  },
205
  "per_token": {
206
  "memory": null,
207
  "latency": {
208
  "unit": "s",
209
- "count": 14,
210
- "total": 0.9805076190000364,
211
- "mean": 0.0700362585000026,
212
- "stdev": 0.002102027039272845,
213
- "p50": 0.06975170500001582,
214
- "p90": 0.07267594009999244,
215
- "p95": 0.07386498314999983,
216
- "p99": 0.07501496783000278,
217
  "values": [
218
- 0.07530246400000351,
219
- 0.07049988800002893,
220
- 0.06935783399995898,
221
- 0.06924855100004379,
222
- 0.07170757199997979,
223
- 0.06985371000001805,
224
- 0.06911311799996156,
225
- 0.07027120899999773,
226
- 0.07309095499999785,
227
- 0.06985858000001599,
228
- 0.06964970000001358,
229
- 0.06704113899996855,
230
- 0.06742579700005535,
231
- 0.06808710199999268
232
  ]
233
  },
234
  "throughput": {
235
  "unit": "tokens/s",
236
- "value": 14.278318422734745
237
  },
238
  "energy": null,
239
  "efficiency": null
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.1",
83
+ "optimum_benchmark_commit": "3731aa19b0b76022fb42f78436721c579f50c777",
84
  "transformers_version": "4.42.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.31.0",
 
99
  "prefill": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 956.837888,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
107
  },
108
  "latency": {
109
  "unit": "s",
110
+ "count": 14,
111
+ "total": 0.6405069269998762,
112
+ "mean": 0.04575049478570544,
113
+ "stdev": 0.002331541050808257,
114
+ "p50": 0.04650717549998262,
115
+ "p90": 0.047667009499991767,
116
+ "p95": 0.04791023484999357,
117
+ "p99": 0.04795499176999272,
118
  "values": [
119
+ 0.0479661809999925,
120
+ 0.04788010999999415,
121
+ 0.0471697749999862,
122
+ 0.046457998999983374,
123
+ 0.04434686200005444,
124
+ 0.04655635199998187,
125
+ 0.046287270999982866,
126
+ 0.04689336100000219,
127
+ 0.04693889599997192,
128
+ 0.04637273999998115,
129
+ 0.04687180100000887,
130
+ 0.04591306300000042,
131
+ 0.04070340999999189,
132
+ 0.04014910599994437
 
133
  ]
134
  },
135
  "throughput": {
136
  "unit": "tokens/s",
137
+ "value": 43.715374213283745
138
  },
139
  "energy": {
140
  "unit": "kWh",
141
+ "cpu": 1.548574520991399e-06,
142
+ "ram": 6.471743282746118e-08,
143
  "gpu": 0.0,
144
+ "total": 1.61329195381886e-06
145
  },
146
  "efficiency": {
147
  "unit": "tokens/kWh",
148
+ "value": 1239701.2179139396
149
  }
150
  },
151
  "decode": {
152
  "memory": {
153
  "unit": "MB",
154
+ "max_ram": 956.837888,
155
  "max_global_vram": null,
156
  "max_process_vram": null,
157
  "max_reserved": null,
 
159
  },
160
  "latency": {
161
  "unit": "s",
162
+ "count": 14,
163
+ "total": 0.3938643540001294,
164
+ "mean": 0.02813316814286639,
165
+ "stdev": 0.0014214745719536034,
166
+ "p50": 0.028675639000027786,
167
+ "p90": 0.02945363829999792,
168
+ "p95": 0.029599561250009288,
169
+ "p99": 0.029620733050015245,
170
  "values": [
171
+ 0.029626026000016736,
172
+ 0.027960590999953183,
173
+ 0.028843357000027936,
174
+ 0.02876842700004545,
175
+ 0.028859105999970325,
176
+ 0.02894663000000719,
177
+ 0.028135958999996546,
178
+ 0.029146401999980753,
179
+ 0.029585311000005277,
180
+ 0.028582851000010123,
181
+ 0.02852419200002032,
182
+ 0.026504278999993858,
183
+ 0.0247047200000452,
184
+ 0.025676503000056528
 
185
  ]
186
  },
187
  "throughput": {
188
  "unit": "tokens/s",
189
+ "value": 35.54523240759025
190
  },
191
  "energy": {
192
  "unit": "kWh",
193
+ "cpu": 9.442384999531969e-07,
194
+ "ram": 3.946180583553242e-08,
195
  "gpu": 0.0,
196
+ "total": 9.837003057887297e-07
197
  },
198
  "efficiency": {
199
  "unit": "tokens/kWh",
200
+ "value": 1016569.7765013921
201
  }
202
  },
203
  "per_token": {
204
  "memory": null,
205
  "latency": {
206
  "unit": "s",
207
+ "count": 13,
208
+ "total": 0.9572018220000018,
209
+ "mean": 0.07363090938461553,
210
+ "stdev": 0.00357479025210195,
211
+ "p50": 0.07525248499996451,
212
+ "p90": 0.07610086180003464,
213
+ "p95": 0.07631410200001483,
214
+ "p99": 0.07654280279999512,
215
  "values": [
216
+ 0.07588265999999066,
217
+ 0.07601023700004816,
218
+ 0.07525248499996451,
219
+ 0.07322024600000532,
220
+ 0.07553119400000696,
221
+ 0.07428790699998444,
222
+ 0.07612351800003125,
223
+ 0.07659997799999019,
224
+ 0.07495814599997175,
225
+ 0.0754330310000455,
226
+ 0.0726004129999751,
227
+ 0.06542875899998535,
228
+ 0.0658732480000026
 
229
  ]
230
  },
231
  "throughput": {
232
  "unit": "tokens/s",
233
+ "value": 13.581252878141695
234
  },
235
  "energy": null,
236
  "efficiency": null