Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
c7d7e18
•
1 Parent(s): 124e99f

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 +76 -79
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": "0.2.0",
83
- "optimum_benchmark_commit": "40484fbc84921b66f5da6e6dc8e14a8bfa42b562",
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": 959.5904,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,51 +107,50 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 14,
111
- "total": 0.6424627510000676,
112
- "mean": 0.04589019650000482,
113
- "stdev": 0.002383455004434377,
114
- "p50": 0.04723009299999603,
115
- "p90": 0.04751209140000867,
116
- "p95": 0.047614370600007304,
117
- "p99": 0.047718524520008715,
118
  "values": [
119
- 0.04727155599999833,
120
- 0.04735951000000682,
121
- 0.047744563000009066,
122
- 0.04729871600000024,
123
- 0.04734186800001794,
124
- 0.04754426700000636,
125
- 0.047188629999993736,
126
- 0.04743701500001407,
127
- 0.046764445999997406,
128
- 0.04684360299998502,
129
- 0.04527515099999846,
130
- 0.04117219400001204,
131
- 0.04191040800000678,
132
- 0.041310824000021285
133
  ]
134
  },
135
  "throughput": {
136
  "unit": "tokens/s",
137
- "value": 43.582293224649625
138
  },
139
  "energy": {
140
  "unit": "kWh",
141
- "cpu": 1.6317032553531507e-06,
142
- "ram": 6.819121629000731e-08,
143
  "gpu": 0.0,
144
- "total": 1.6998944716431582e-06
145
  },
146
  "efficiency": {
147
  "unit": "tokens/kWh",
148
- "value": 1176543.6227736848
149
  }
150
  },
151
  "decode": {
152
  "memory": {
153
  "unit": "MB",
154
- "max_ram": 959.5904,
155
  "max_global_vram": null,
156
  "max_process_vram": null,
157
  "max_reserved": null,
@@ -159,78 +158,76 @@
159
  },
160
  "latency": {
161
  "unit": "s",
162
- "count": 14,
163
- "total": 0.39968538399992326,
164
- "mean": 0.02854895599999452,
165
- "stdev": 0.0018958916265558701,
166
- "p50": 0.029523903499992343,
167
- "p90": 0.030147376099989742,
168
- "p95": 0.030256447549994903,
169
- "p99": 0.030365290309994464,
170
  "values": [
171
- 0.030392500999994354,
172
- 0.029787276999996948,
173
- 0.030063814999977012,
174
- 0.02949948799999902,
175
- 0.030183187999995198,
176
- 0.0297355699999855,
177
- 0.029331463000005442,
178
- 0.029674545999995416,
179
- 0.029548318999985668,
180
- 0.02908711400002062,
181
- 0.02540689699998211,
182
- 0.025659029999985705,
183
- 0.025601321999999982,
184
- 0.025714854000000287
185
  ]
186
  },
187
  "throughput": {
188
  "unit": "tokens/s",
189
- "value": 35.02755056963176
190
  },
191
  "energy": {
192
  "unit": "kWh",
193
- "cpu": 1.0062755809889903e-06,
194
- "ram": 4.205479139361753e-08,
195
  "gpu": 0.0,
196
- "total": 1.048330372382607e-06
197
  },
198
  "efficiency": {
199
  "unit": "tokens/kWh",
200
- "value": 953897.7657656112
201
  }
202
  },
203
  "per_token": {
204
  "memory": null,
205
  "latency": {
206
  "unit": "s",
207
- "count": 13,
208
- "total": 0.9649358449999852,
209
- "mean": 0.07422583423076809,
210
- "stdev": 0.0042298586770630545,
211
- "p50": 0.07653514200001155,
212
- "p90": 0.07750060500001724,
213
- "p95": 0.07765262000002053,
214
- "p99": 0.07777946240001597,
215
  "values": [
216
- 0.07721410299998865,
217
- 0.07781117300001483,
218
- 0.07680508599997893,
219
- 0.07754691800002433,
220
- 0.07731535299998882,
221
- 0.07653514200001155,
222
- 0.07713075699999195,
223
- 0.07634771899998327,
224
- 0.07596145600001591,
225
- 0.07084833900000831,
226
- 0.06684209499999838,
227
- 0.06753755799999794,
228
- 0.06704014599998231
229
  ]
230
  },
231
  "throughput": {
232
  "unit": "tokens/s",
233
- "value": 13.472398260840025
234
  },
235
  "energy": null,
236
  "efficiency": null
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
+ "optimum_benchmark_commit": "e5cc8d8069420e159473795b6d1ea703cadf2a8b",
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": 948.719616,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
107
  },
108
  "latency": {
109
  "unit": "s",
110
+ "count": 13,
111
+ "total": 0.6381102090001605,
112
+ "mean": 0.049085400692320036,
113
+ "stdev": 0.0009991524784254868,
114
+ "p50": 0.04951119600002585,
115
+ "p90": 0.04994197260000419,
116
+ "p95": 0.05007467899999938,
117
+ "p99": 0.0502337918000012,
118
  "values": [
119
+ 0.04986143599995785,
120
+ 0.04994208499999786,
121
+ 0.04749889900000426,
122
+ 0.04994152300002952,
123
+ 0.050273570000001655,
124
+ 0.04738974800000051,
125
+ 0.049802965000026234,
126
+ 0.0491602670000475,
127
+ 0.048166989000037574,
128
+ 0.047740387000033024,
129
+ 0.04889139099998374,
130
+ 0.0499297530000149,
131
+ 0.04951119600002585
 
132
  ]
133
  },
134
  "throughput": {
135
  "unit": "tokens/s",
136
+ "value": 40.745312695652956
137
  },
138
  "energy": {
139
  "unit": "kWh",
140
+ "cpu": 1.6988325234196613e-06,
141
+ "ram": 7.099577427232401e-08,
142
  "gpu": 0.0,
143
+ "total": 1.7698282976919853e-06
144
  },
145
  "efficiency": {
146
  "unit": "tokens/kWh",
147
+ "value": 1130053.1258360934
148
  }
149
  },
150
  "decode": {
151
  "memory": {
152
  "unit": "MB",
153
+ "max_ram": 948.719616,
154
  "max_global_vram": null,
155
  "max_process_vram": null,
156
  "max_reserved": null,
 
158
  },
159
  "latency": {
160
  "unit": "s",
161
+ "count": 13,
162
+ "total": 0.4042679689999318,
163
+ "mean": 0.03109753607691783,
164
+ "stdev": 0.0003948984056917711,
165
+ "p50": 0.031224559000008867,
166
+ "p90": 0.031533954399969845,
167
+ "p95": 0.03157658959997889,
168
+ "p99": 0.03158076031999144,
169
  "values": [
170
+ 0.030915667000044778,
171
+ 0.031253229000014926,
172
+ 0.03158180299999458,
173
+ 0.03133249100000057,
174
+ 0.030918993999989652,
175
+ 0.031038550000005216,
176
+ 0.031224559000008867,
177
+ 0.031309618999955546,
178
+ 0.03157311399996843,
179
+ 0.03137731599997551,
180
+ 0.031140219999997498,
181
+ 0.03023333599998068,
182
+ 0.03036907099999553
 
183
  ]
184
  },
185
  "throughput": {
186
  "unit": "tokens/s",
187
+ "value": 32.15688849195518
188
  },
189
  "energy": {
190
  "unit": "kWh",
191
+ "cpu": 1.0135169267270494e-06,
192
+ "ram": 4.2359389016150586e-08,
193
  "gpu": 0.0,
194
+ "total": 1.0558763157432008e-06
195
  },
196
  "efficiency": {
197
  "unit": "tokens/kWh",
198
+ "value": 947080.6240180972
199
  }
200
  },
201
  "per_token": {
202
  "memory": null,
203
  "latency": {
204
  "unit": "s",
205
+ "count": 12,
206
+ "total": 0.9618252029999894,
207
+ "mean": 0.08015210024999912,
208
+ "stdev": 0.0009012063599150997,
209
+ "p50": 0.08012189650000323,
210
+ "p90": 0.08122276360001024,
211
+ "p95": 0.08126305835002653,
212
+ "p99": 0.081299350870039,
213
  "values": [
214
+ 0.08122594100001379,
215
+ 0.07907469099995978,
216
+ 0.08130842400004212,
217
+ 0.08119416699997828,
218
+ 0.07845691199997873,
219
+ 0.08105556700002126,
220
+ 0.08045305299998518,
221
+ 0.07976948999998967,
222
+ 0.07914940300003082,
223
+ 0.08005747999999357,
224
+ 0.08018631300001289,
225
+ 0.07989376199998333
 
226
  ]
227
  },
228
  "throughput": {
229
  "unit": "tokens/s",
230
+ "value": 12.47627943473647
231
  },
232
  "energy": null,
233
  "efficiency": null