Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
988faa2
·
verified ·
1 Parent(s): 29e3499

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 +91 -94
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": "0.4.0",
83
- "optimum_benchmark_commit": "f32449e677ccf97474e910c2d5ac206ff11edba2",
84
  "transformers_version": "4.44.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 1121.783808,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -108,31 +108,31 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
- "total": 4.799345813999992,
112
- "mean": 4.799345813999992,
113
  "stdev": 0.0,
114
- "p50": 4.799345813999992,
115
- "p90": 4.799345813999992,
116
- "p95": 4.799345813999992,
117
- "p99": 4.799345813999992,
118
  "values": [
119
- 4.799345813999992
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 6.779408486666686e-05,
126
- "ram": 2.833619714721703e-06,
127
  "gpu": 0,
128
- "total": 7.062770458138857e-05
129
  },
130
  "efficiency": null
131
  },
132
  "prefill": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 975.130624,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,52 +140,51 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 15,
144
- "total": 0.6301456869999527,
145
- "mean": 0.04200971246666351,
146
- "stdev": 0.0027514004063474255,
147
- "p50": 0.043933069999980034,
148
- "p90": 0.044880232599996364,
149
- "p95": 0.045005817300000216,
150
- "p99": 0.04505984666000813,
151
  "values": [
152
- 0.04460126099999684,
153
- 0.04430779099999427,
154
- 0.04507335400001011,
155
- 0.04473527199999694,
156
- 0.044976872999995976,
157
- 0.04468850399999269,
158
- 0.043933069999980034,
159
- 0.04404347700000244,
160
- 0.03878695999998172,
161
- 0.040428552999998146,
162
- 0.03886460600000419,
163
- 0.03884760299999357,
164
- 0.03906650400000444,
165
- 0.03911403199998631,
166
- 0.038677827000014986
167
  ]
168
  },
169
  "throughput": {
170
  "unit": "tokens/s",
171
- "value": 47.60803829797894
172
  },
173
  "energy": {
174
  "unit": "kWh",
175
- "cpu": 1.5437015865384802e-06,
176
- "ram": 6.451430669377842e-08,
177
  "gpu": 0.0,
178
- "total": 1.6082158932322586e-06
179
  },
180
  "efficiency": {
181
  "unit": "tokens/kWh",
182
- "value": 1243614.1244570825
183
  }
184
  },
185
  "decode": {
186
  "memory": {
187
  "unit": "MB",
188
- "max_ram": 975.917056,
189
  "max_global_vram": null,
190
  "max_process_vram": null,
191
  "max_reserved": null,
@@ -193,81 +192,79 @@
193
  },
194
  "latency": {
195
  "unit": "s",
196
- "count": 15,
197
- "total": 0.38969852500005686,
198
- "mean": 0.025979901666670458,
199
- "stdev": 0.0018805728385115758,
200
- "p50": 0.027315344000015784,
201
- "p90": 0.02788912380000852,
202
- "p95": 0.027930808700006082,
203
- "p99": 0.027939454539995266,
204
  "values": [
205
- 0.027636744999995244,
206
- 0.027644721000001482,
207
- 0.027926177000011876,
208
- 0.027821681000006038,
209
- 0.027941615999992564,
210
- 0.027833544000003485,
211
- 0.027315344000015784,
212
- 0.027721143999997366,
213
- 0.02381936200001178,
214
- 0.024196638000006487,
215
- 0.02371623900000941,
216
- 0.023928345999991052,
217
- 0.024030266000011125,
218
- 0.024278131000016856,
219
- 0.023888570999986314
220
  ]
221
  },
222
  "throughput": {
223
  "unit": "tokens/s",
224
- "value": 38.491292724286836
225
  },
226
  "energy": {
227
  "unit": "kWh",
228
- "cpu": 9.038618422809708e-07,
229
- "ram": 3.7773780163550204e-08,
230
  "gpu": 0.0,
231
- "total": 9.416356224445215e-07
232
  },
233
  "efficiency": {
234
  "unit": "tokens/kWh",
235
- "value": 1061981.9133477155
236
  }
237
  },
238
  "per_token": {
239
  "memory": null,
240
  "latency": {
241
  "unit": "s",
242
- "count": 15,
243
- "total": 0.3836115440001038,
244
- "mean": 0.02557410293334025,
245
- "stdev": 0.0017934645114968503,
246
- "p50": 0.026841678000010916,
247
- "p90": 0.027395605400010938,
248
- "p95": 0.027441667900012588,
249
- "p99": 0.027460272780014065,
250
  "values": [
251
- 0.027129655999999613,
252
- 0.02716743800002064,
253
- 0.0274317010000118,
254
- 0.027341462000009642,
255
- 0.027464924000014435,
256
- 0.02733523099999502,
257
- 0.026841678000010916,
258
- 0.02722923300001412,
259
- 0.023504653000003373,
260
- 0.02387167000000545,
261
- 0.02340670999998906,
262
- 0.023627093000015975,
263
- 0.02371592800000144,
264
- 0.023966187000013406,
265
- 0.023577979999998888
266
  ]
267
  },
268
  "throughput": {
269
  "unit": "tokens/s",
270
- "value": 39.10205580256454
271
  },
272
  "energy": null,
273
  "efficiency": null
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "144d755b3f25afde6379cd1489a9242ba4ce723e",
84
  "transformers_version": "4.44.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 1119.854592,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.885492091000003,
112
+ "mean": 4.885492091000003,
113
  "stdev": 0.0,
114
+ "p50": 4.885492091000003,
115
+ "p90": 4.885492091000003,
116
+ "p95": 4.885492091000003,
117
+ "p99": 4.885492091000003,
118
  "values": [
119
+ 4.885492091000003
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 6.838964887222182e-05,
126
+ "ram": 2.8585156119824488e-06,
127
  "gpu": 0,
128
+ "total": 7.124816448420427e-05
129
  },
130
  "efficiency": null
131
  },
132
  "prefill": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 973.185024,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 14,
144
+ "total": 0.6510882919999403,
145
+ "mean": 0.04650630657142431,
146
+ "stdev": 0.002031433482843606,
147
+ "p50": 0.0470944314999997,
148
+ "p90": 0.04806874180002296,
149
+ "p95": 0.04847385980001491,
150
+ "p99": 0.04896336075999898,
151
  "values": [
152
+ 0.04573753699997951,
153
+ 0.04785181800002647,
154
+ 0.046834809000017685,
155
+ 0.045054683999978806,
156
+ 0.04789223400001674,
157
+ 0.04666177299998253,
158
+ 0.047620432999963214,
159
+ 0.04814438800002563,
160
+ 0.04778945099997145,
161
+ 0.04667190100002472,
162
+ 0.049085735999994995,
163
+ 0.047354053999981716,
164
+ 0.04146578299997827,
165
+ 0.0429236909999986
 
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "tokens/s",
170
+ "value": 43.00492013762485
171
  },
172
  "energy": {
173
  "unit": "kWh",
174
+ "cpu": 1.6471950136574285e-06,
175
+ "ram": 6.883882320592139e-08,
176
  "gpu": 0.0,
177
+ "total": 1.7160338368633499e-06
178
  },
179
  "efficiency": {
180
  "unit": "tokens/kWh",
181
+ "value": 1165478.1840757274
182
  }
183
  },
184
  "decode": {
185
  "memory": {
186
  "unit": "MB",
187
+ "max_ram": 974.2336,
188
  "max_global_vram": null,
189
  "max_process_vram": null,
190
  "max_reserved": null,
 
192
  },
193
  "latency": {
194
  "unit": "s",
195
+ "count": 14,
196
+ "total": 0.405951185000049,
197
+ "mean": 0.028996513214289216,
198
+ "stdev": 0.0013908038226888766,
199
+ "p50": 0.029587314000025344,
200
+ "p90": 0.030225692499988098,
201
+ "p95": 0.030308906899992393,
202
+ "p99": 0.03041015817997902,
203
  "values": [
204
+ 0.029826769000010245,
205
+ 0.030435470999975678,
206
+ 0.028686425999978837,
207
+ 0.02960244700000203,
208
+ 0.02988929600002166,
209
+ 0.029218486000047506,
210
+ 0.02957218100004866,
211
+ 0.029949458999965373,
212
+ 0.02882716200002733,
213
+ 0.030240757000001395,
214
+ 0.030190541999957077,
215
+ 0.02643467600000804,
216
+ 0.02628880200001049,
217
+ 0.02678871099999469
 
218
  ]
219
  },
220
  "throughput": {
221
  "unit": "tokens/s",
222
+ "value": 34.486905118895784
223
  },
224
  "energy": {
225
  "unit": "kWh",
226
+ "cpu": 9.71566485231545e-07,
227
+ "ram": 4.06043643731167e-08,
228
  "gpu": 0.0,
229
+ "total": 1.0121708496046615e-06
230
  },
231
  "efficiency": {
232
  "unit": "tokens/kWh",
233
+ "value": 987975.4987911228
234
  }
235
  },
236
  "per_token": {
237
  "memory": null,
238
  "latency": {
239
  "unit": "s",
240
+ "count": 14,
241
+ "total": 0.399307856000064,
242
+ "mean": 0.028521989714290288,
243
+ "stdev": 0.0013292481091218484,
244
+ "p50": 0.029120021000039742,
245
+ "p90": 0.029673451399963822,
246
+ "p95": 0.029763459899962187,
247
+ "p99": 0.029892229579964465,
248
  "values": [
249
+ 0.029292415000043093,
250
+ 0.029924421999965034,
251
+ 0.028246560000013687,
252
+ 0.029125160000035066,
253
+ 0.02935427099998833,
254
+ 0.028737953000018024,
255
+ 0.029114882000044418,
256
+ 0.029413541999986137,
257
+ 0.028341108999995868,
258
+ 0.029676787999960652,
259
+ 0.029665665999971225,
260
+ 0.02606847800001333,
261
+ 0.025924097000029178,
262
+ 0.02642251299999998
 
263
  ]
264
  },
265
  "throughput": {
266
  "unit": "tokens/s",
267
+ "value": 35.06066757674248
268
  },
269
  "energy": null,
270
  "efficiency": null