Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
e76cff5
•
1 Parent(s): d0e399f

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 +81 -84
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": 16757.338112,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
- "optimum_benchmark_commit": "50da7b73412b5fcfdb3831f32e0f2c5b8acaf7cf",
84
  "transformers_version": "4.42.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.32.1",
@@ -99,7 +99,7 @@
99
  "prefill": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 962.06848,
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": 0.6442333580000366,
112
- "mean": 0.04294889053333577,
113
- "stdev": 0.0033313548716193075,
114
- "p50": 0.045148796999995966,
115
- "p90": 0.046343429600005946,
116
- "p95": 0.04659896879999224,
117
- "p99": 0.046630472159988584,
118
  "values": [
119
- 0.04598543600002358,
120
- 0.045148796999995966,
121
- 0.04658209199999419,
122
- 0.04408837700000845,
123
- 0.04554947399998355,
124
- 0.04562140999999542,
125
- 0.04570151000001488,
126
- 0.045319669999997814,
127
- 0.04663834799998767,
128
- 0.03941107500000385,
129
- 0.039141784000008784,
130
- 0.03893678800000089,
131
- 0.038733553000014354,
132
- 0.03867448200000467,
133
- 0.03870056200000249
134
  ]
135
  },
136
  "throughput": {
137
  "unit": "tokens/s",
138
- "value": 46.56697705491727
139
  },
140
  "energy": {
141
  "unit": "kWh",
142
- "cpu": 1.542007209908249e-06,
143
- "ram": 6.444267440329555e-08,
144
  "gpu": 0.0,
145
- "total": 1.6064498843115445e-06
146
  },
147
  "efficiency": {
148
  "unit": "tokens/kWh",
149
- "value": 1244981.2593171024
150
  }
151
  },
152
  "decode": {
153
  "memory": {
154
  "unit": "MB",
155
- "max_ram": 962.06848,
156
  "max_global_vram": null,
157
  "max_process_vram": null,
158
  "max_reserved": null,
@@ -160,81 +159,79 @@
160
  },
161
  "latency": {
162
  "unit": "s",
163
- "count": 15,
164
- "total": 0.40373973399991314,
165
- "mean": 0.026915982266660875,
166
- "stdev": 0.002197365852444602,
167
- "p50": 0.028289878000009594,
168
- "p90": 0.029012218200006146,
169
- "p95": 0.029146122900007752,
170
- "p99": 0.029191344580003147,
171
  "values": [
172
- 0.028777608999973836,
173
- 0.028768861999992623,
174
- 0.02884770000000003,
175
- 0.029202650000001995,
176
- 0.02806632600001535,
177
- 0.029121897000010222,
178
- 0.028333420999985037,
179
- 0.028765505999984953,
180
- 0.028289878000009594,
181
- 0.02415629799997987,
182
- 0.024169814000003953,
183
- 0.02492124099998705,
184
- 0.023830584999984694,
185
- 0.024493984999992335,
186
- 0.023993961999991598
187
  ]
188
  },
189
  "throughput": {
190
  "unit": "tokens/s",
191
- "value": 37.15264745283462
192
  },
193
  "energy": {
194
  "unit": "kWh",
195
- "cpu": 9.204057865163199e-07,
196
- "ram": 3.8463325585187395e-08,
197
  "gpu": 0.0,
198
- "total": 9.588691121015078e-07
199
  },
200
  "efficiency": {
201
  "unit": "tokens/kWh",
202
- "value": 1042895.2057996191
203
  }
204
  },
205
  "per_token": {
206
  "memory": null,
207
  "latency": {
208
  "unit": "s",
209
- "count": 15,
210
- "total": 0.39759017099993343,
211
- "mean": 0.026506011399995564,
212
- "stdev": 0.0021239884895784857,
213
- "p50": 0.027801487000004954,
214
- "p90": 0.02856334540000489,
215
- "p95": 0.028697773800007553,
216
- "p99": 0.02872329636000245,
217
  "values": [
218
- 0.02829623999997466,
219
- 0.02828890699998965,
220
- 0.028382211999996798,
221
- 0.028729677000001175,
222
- 0.02762820000000943,
223
- 0.028684101000010287,
224
- 0.027864655999991328,
225
- 0.028268257999997104,
226
- 0.027801487000004954,
227
- 0.023851963999987902,
228
- 0.02385916800000132,
229
- 0.02457458699998938,
230
- 0.023518735999999762,
231
- 0.02416567599999553,
232
- 0.023676301999984162
233
  ]
234
  },
235
  "throughput": {
236
  "unit": "tokens/s",
237
- "value": 37.72729079865133
238
  },
239
  "energy": null,
240
  "efficiency": null
 
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-6.5.0-1023-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
+ "optimum_benchmark_commit": "bf00581ca84403c7aba5a4a8f646e796f7b72599",
84
  "transformers_version": "4.42.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.32.1",
 
99
  "prefill": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 962.048,
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": 0.6365873449998389,
112
+ "mean": 0.045470524642845636,
113
+ "stdev": 0.002563014198834841,
114
+ "p50": 0.04655033499997785,
115
+ "p90": 0.047761842700009535,
116
+ "p95": 0.04795784630002231,
117
+ "p99": 0.04809651886002371,
118
  "values": [
119
+ 0.04786450900002137,
120
+ 0.04751678799999581,
121
+ 0.04592823799998769,
122
+ 0.048131187000024056,
123
+ 0.04752228799998193,
124
+ 0.04712417399997548,
125
+ 0.04635588599995799,
126
+ 0.04626427599998806,
127
+ 0.04701781599999322,
128
+ 0.04674478399999771,
129
+ 0.04172550699996691,
130
+ 0.04161751499998445,
131
+ 0.04167481100000714,
132
+ 0.04109956599995712
 
133
  ]
134
  },
135
  "throughput": {
136
  "unit": "tokens/s",
137
+ "value": 43.984537581417186
138
  },
139
  "energy": {
140
  "unit": "kWh",
141
+ "cpu": 1.606097804175483e-06,
142
+ "ram": 6.712110951034447e-08,
143
  "gpu": 0.0,
144
+ "total": 1.6732189136858274e-06
145
  },
146
  "efficiency": {
147
  "unit": "tokens/kWh",
148
+ "value": 1195300.856117104
149
  }
150
  },
151
  "decode": {
152
  "memory": {
153
  "unit": "MB",
154
+ "max_ram": 962.048,
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": 0.3936966590001134,
164
+ "mean": 0.02812118992857953,
165
+ "stdev": 0.0017452619961330588,
166
+ "p50": 0.02884964049997052,
167
+ "p90": 0.029497711600026833,
168
+ "p95": 0.029891198600029156,
169
+ "p99": 0.03047370052002293,
170
  "values": [
171
+ 0.029069496999966304,
172
+ 0.029189061000010952,
173
+ 0.029499130000033347,
174
+ 0.028629783999974734,
175
+ 0.029494402000011632,
176
+ 0.030619326000021374,
177
+ 0.029092160000004696,
178
+ 0.028553692000002684,
179
+ 0.02924239000003581,
180
+ 0.028308092999964174,
181
+ 0.025472690000015064,
182
+ 0.025248892000035994,
183
+ 0.025246077000019795,
184
+ 0.02603146500001685
 
185
  ]
186
  },
187
  "throughput": {
188
  "unit": "tokens/s",
189
+ "value": 35.56037289103834
190
  },
191
  "energy": {
192
  "unit": "kWh",
193
+ "cpu": 9.982922695301194e-07,
194
+ "ram": 4.171832787837956e-08,
195
  "gpu": 0.0,
196
+ "total": 1.0400105974085e-06
197
  },
198
  "efficiency": {
199
  "unit": "tokens/kWh",
200
+ "value": 961528.6637384287
201
  }
202
  },
203
  "per_token": {
204
  "memory": null,
205
  "latency": {
206
  "unit": "s",
207
+ "count": 14,
208
+ "total": 0.3872701830000551,
209
+ "mean": 0.027662155928575367,
210
+ "stdev": 0.0016662209608155868,
211
+ "p50": 0.028340829499995834,
212
+ "p90": 0.028956401000027655,
213
+ "p95": 0.029356640250017562,
214
+ "p99": 0.029941970450014423,
215
  "values": [
216
+ 0.028581664999990153,
217
+ 0.028696420000017042,
218
+ 0.02894177800004627,
219
+ 0.028118377999987842,
220
+ 0.028962668000019676,
221
+ 0.03008830300001364,
222
+ 0.028563281000003826,
223
+ 0.028057924999984607,
224
+ 0.02875592000003735,
225
+ 0.02783537899995281,
226
+ 0.025136701999997513,
227
+ 0.024909067000010054,
228
+ 0.024908354999979565,
229
+ 0.025714342000014767
 
230
  ]
231
  },
232
  "throughput": {
233
  "unit": "tokens/s",
234
+ "value": 36.150472240198276
235
  },
236
  "energy": null,
237
  "efficiency": null