Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
4ac7c61
•
1 Parent(s): 96b7e0c

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 +71 -83
cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json CHANGED
@@ -71,14 +71,14 @@
71
  "environment": {
72
  "cpu": " AMD EPYC 7763 64-Core Processor",
73
  "cpu_count": 4,
74
- "cpu_ram_mb": 16757.3504,
75
  "system": "Linux",
76
  "machine": "x86_64",
77
  "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
  "optimum_benchmark_version": "0.2.0",
81
- "optimum_benchmark_commit": "b50afdd89f3c69090dee699e5e398c44916e2d64",
82
  "transformers_version": "4.40.2",
83
  "transformers_commit": null,
84
  "accelerate_version": "0.30.1",
@@ -97,7 +97,7 @@
97
  "prefill": {
98
  "memory": {
99
  "unit": "MB",
100
- "max_ram": 956.7232,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
@@ -105,52 +105,48 @@
105
  },
106
  "latency": {
107
  "unit": "s",
108
- "count": 15,
109
- "total": 0.6569378359998268,
110
- "mean": 0.04379585573332179,
111
- "stdev": 0.0011521062606398742,
112
- "p50": 0.0433752600000048,
113
- "p90": 0.04505936279999787,
114
- "p95": 0.04570637779999629,
115
- "p99": 0.04675128515998381,
116
  "values": [
117
- 0.045146606000002976,
118
- 0.0433752600000048,
119
- 0.0430425170000035,
120
- 0.04492849799999021,
121
- 0.04305154299999003,
122
- 0.043888229000003776,
123
- 0.04340799099998094,
124
- 0.044274111999982324,
125
- 0.0427798939999775,
126
- 0.043185523999966335,
127
- 0.044431446999965374,
128
- 0.042782579999993686,
129
- 0.04289457800001628,
130
- 0.04701251199998069,
131
- 0.04273654499996837
132
  ]
133
  },
134
  "throughput": {
135
  "unit": "tokens/s",
136
- "value": 45.66642132027833
137
  },
138
  "energy": {
139
  "unit": "kWh",
140
- "cpu": 1.6711255466496504e-06,
141
- "ram": 6.983898169840883e-08,
142
  "gpu": 0.0,
143
- "total": 1.7409645283480592e-06
144
  },
145
  "efficiency": {
146
  "unit": "tokens/kWh",
147
- "value": 1148788.4832999615
148
  }
149
  },
150
  "decode": {
151
  "memory": {
152
  "unit": "MB",
153
- "max_ram": 956.7232,
154
  "max_global_vram": null,
155
  "max_process_vram": null,
156
  "max_reserved": null,
@@ -158,80 +154,72 @@
158
  },
159
  "latency": {
160
  "unit": "s",
161
- "count": 15,
162
- "total": 0.40627674100016975,
163
- "mean": 0.027085116066677982,
164
- "stdev": 0.0005490786431801712,
165
- "p50": 0.026920791999998528,
166
- "p90": 0.027575365199982115,
167
- "p95": 0.02803870459998734,
168
- "p99": 0.028649240120005286,
169
  "values": [
170
- 0.026981576000025598,
171
- 0.027711631999977726,
172
- 0.028801874000009775,
173
- 0.02723999000005506,
174
- 0.02690345100000968,
175
- 0.02697736900000791,
176
- 0.0273709649999887,
177
- 0.026432368000030237,
178
- 0.027107363000027362,
179
- 0.02664768200003209,
180
- 0.026920791999998528,
181
- 0.026917747000027248,
182
- 0.02663911399997687,
183
- 0.02683371799997758,
184
- 0.02679110000002538
185
  ]
186
  },
187
  "throughput": {
188
  "unit": "tokens/s",
189
- "value": 36.920646658415855
190
  },
191
  "energy": {
192
  "unit": "kWh",
193
- "cpu": 1.0024787651167968e-06,
194
- "ram": 4.189791105792847e-08,
195
  "gpu": 0.0,
196
- "total": 1.0443766761747255e-06
197
  },
198
  "efficiency": {
199
  "unit": "tokens/kWh",
200
- "value": 957508.9360121815
201
  }
202
  },
203
  "per_token": {
204
  "memory": null,
205
  "latency": {
206
  "unit": "s",
207
- "count": 14,
208
- "total": 0.9912976520000143,
209
- "mean": 0.07080697514285816,
210
- "stdev": 0.001185979296676912,
211
- "p50": 0.07075481100000047,
212
- "p90": 0.07215794469998968,
213
- "p95": 0.07289375664999795,
214
- "p99": 0.07366563373001497,
215
  "values": [
216
- 0.07109474700001783,
217
- 0.07165329299999712,
218
- 0.0723742239999865,
219
- 0.0699773549999918,
220
- 0.07089456300002439,
221
- 0.07073776900000439,
222
- 0.07077185299999655,
223
- 0.06989950000001954,
224
- 0.06984415599998783,
225
- 0.07137460199999168,
226
- 0.06972029399997837,
227
- 0.06954488299999184,
228
- 0.07385860300001923,
229
- 0.06955181000000721
230
  ]
231
  },
232
  "throughput": {
233
  "unit": "tokens/s",
234
- "value": 14.12290241155519
235
  },
236
  "energy": null,
237
  "efficiency": null
 
71
  "environment": {
72
  "cpu": " AMD EPYC 7763 64-Core Processor",
73
  "cpu_count": 4,
74
+ "cpu_ram_mb": 16757.354496,
75
  "system": "Linux",
76
  "machine": "x86_64",
77
  "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
  "optimum_benchmark_version": "0.2.0",
81
+ "optimum_benchmark_commit": "6fcf23d15753ee501a4776b6dfde05d914257752",
82
  "transformers_version": "4.40.2",
83
  "transformers_commit": null,
84
  "accelerate_version": "0.30.1",
 
97
  "prefill": {
98
  "memory": {
99
  "unit": "MB",
100
+ "max_ram": 956.37504,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
 
105
  },
106
  "latency": {
107
  "unit": "s",
108
+ "count": 11,
109
+ "total": 0.6311531610000145,
110
+ "mean": 0.05737756009091041,
111
+ "stdev": 0.0013297514938054363,
112
+ "p50": 0.05802002000001494,
113
+ "p90": 0.05829856899998731,
114
+ "p95": 0.05893202800000097,
115
+ "p99": 0.0594387952000119,
116
  "values": [
117
+ 0.056171938999995064,
118
+ 0.05802002000001494,
119
+ 0.054376826999998684,
120
+ 0.05822428000001878,
121
+ 0.05803257300001974,
122
+ 0.056439938000011125,
123
+ 0.058028574999980265,
124
+ 0.05829856899998731,
125
+ 0.05667590799998834,
126
+ 0.057319044999985636,
127
+ 0.05956548700001463
 
 
 
 
128
  ]
129
  },
130
  "throughput": {
131
  "unit": "tokens/s",
132
+ "value": 34.856832476514356
133
  },
134
  "energy": {
135
  "unit": "kWh",
136
+ "cpu": 1.9997935824924045e-06,
137
+ "ram": 8.357228617506962e-08,
138
  "gpu": 0.0,
139
+ "total": 2.0833658686674743e-06
140
  },
141
  "efficiency": {
142
  "unit": "tokens/kWh",
143
+ "value": 959985.007952158
144
  }
145
  },
146
  "decode": {
147
  "memory": {
148
  "unit": "MB",
149
+ "max_ram": 956.37504,
150
  "max_global_vram": null,
151
  "max_process_vram": null,
152
  "max_reserved": null,
 
154
  },
155
  "latency": {
156
  "unit": "s",
157
+ "count": 11,
158
+ "total": 0.397706138000018,
159
+ "mean": 0.03615510345454709,
160
+ "stdev": 0.0008480934039526884,
161
+ "p50": 0.03601686500002188,
162
+ "p90": 0.037410609999994904,
163
+ "p95": 0.037456891499999756,
164
+ "p99": 0.03749391670000364,
165
  "values": [
166
+ 0.03464203600000815,
167
+ 0.035462422999984256,
168
+ 0.035859702999999854,
169
+ 0.0358088280000004,
170
+ 0.03538275500000054,
171
+ 0.03699494599999298,
172
+ 0.03750317300000461,
173
+ 0.03601956900001824,
174
+ 0.037410609999994904,
175
+ 0.03601686500002188,
176
+ 0.03660522999999216
 
 
 
 
177
  ]
178
  },
179
  "throughput": {
180
  "unit": "tokens/s",
181
+ "value": 27.6586126010444
182
  },
183
  "energy": {
184
  "unit": "kWh",
185
+ "cpu": 1.335924731360542e-06,
186
+ "ram": 5.582244644143941e-08,
187
  "gpu": 0.0,
188
+ "total": 1.3917471778019815e-06
189
  },
190
  "efficiency": {
191
  "unit": "tokens/kWh",
192
+ "value": 718521.3061321405
193
  }
194
  },
195
  "per_token": {
196
  "memory": null,
197
  "latency": {
198
  "unit": "s",
199
+ "count": 10,
200
+ "total": 0.9382666349999909,
201
+ "mean": 0.09382666349999909,
202
+ "stdev": 0.0015058675468307941,
203
+ "p50": 0.09380351550001365,
204
+ "p90": 0.09562797209999019,
205
+ "p95": 0.09592090004998255,
206
+ "p99": 0.09615524240997644,
207
  "values": [
208
+ 0.09351868000001673,
209
+ 0.09024152899999649,
210
+ 0.09409728699998254,
211
+ 0.09343966299999806,
212
+ 0.09340764300000615,
213
+ 0.09556287699999189,
214
+ 0.09437151700001323,
215
+ 0.09408835100001056,
216
+ 0.0933252600000003,
217
+ 0.09621382799997491
 
 
 
 
218
  ]
219
  },
220
  "throughput": {
221
  "unit": "tokens/s",
222
+ "value": 10.657951191028014
223
  },
224
  "energy": null,
225
  "efficiency": null