Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
3745baf
•
1 Parent(s): 81cde92

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 +83 -77
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": 16757.346304,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
- "optimum_benchmark_commit": "b41c364fc95b27c894c71df85ec2bf4c8adb0e4d",
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": 958.48448,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,50 +107,52 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 13,
111
- "total": 0.619807150000014,
112
- "mean": 0.04767747307692415,
113
- "stdev": 0.0020603439226835464,
114
- "p50": 0.04793384100000253,
115
- "p90": 0.04962197659997969,
116
- "p95": 0.05005140759998881,
117
- "p99": 0.0503834255199979,
118
  "values": [
119
- 0.05046643000000017,
120
- 0.04977472599998123,
121
- 0.04858234400001038,
122
- 0.04901097899997353,
123
- 0.04793384100000253,
124
- 0.04779403100002355,
125
- 0.048052360000014005,
126
- 0.047925254000006134,
127
- 0.048038834999999835,
128
- 0.04787614299999632,
129
- 0.04791021699998055,
130
- 0.04352561000001742,
131
- 0.0429163800000083
 
 
132
  ]
133
  },
134
  "throughput": {
135
  "unit": "tokens/s",
136
- "value": 41.94853189415355
137
  },
138
  "energy": {
139
  "unit": "kWh",
140
- "cpu": 1.6951477086102522e-06,
141
- "ram": 7.083869228711849e-08,
142
  "gpu": 0.0,
143
- "total": 1.7659864008973708e-06
144
  },
145
  "efficiency": {
146
  "unit": "tokens/kWh",
147
- "value": 1132511.5521748737
148
  }
149
  },
150
  "decode": {
151
  "memory": {
152
  "unit": "MB",
153
- "max_ram": 958.48448,
154
  "max_global_vram": null,
155
  "max_process_vram": null,
156
  "max_reserved": null,
@@ -158,76 +160,80 @@
158
  },
159
  "latency": {
160
  "unit": "s",
161
- "count": 13,
162
- "total": 0.39077802200003475,
163
- "mean": 0.03005984784615652,
164
- "stdev": 0.0016019761983703314,
165
- "p50": 0.03050901500000691,
166
- "p90": 0.03133402860001411,
167
- "p95": 0.03159724700001334,
168
- "p99": 0.0318806030000087,
169
  "values": [
170
- 0.03122567500000173,
171
- 0.0313611170000172,
172
- 0.031951442000007546,
173
- 0.03052874200000133,
174
- 0.02999832700001548,
175
- 0.03087032499999509,
176
- 0.030327197999980626,
177
- 0.030084657999992714,
178
- 0.030817366999997375,
179
- 0.03050901500000691,
180
- 0.030050104000025613,
181
- 0.026382587999989937,
182
- 0.026671464000003198
 
 
183
  ]
184
  },
185
  "throughput": {
186
  "unit": "tokens/s",
187
- "value": 33.26696812032802
188
  },
189
  "energy": {
190
  "unit": "kWh",
191
- "cpu": 9.944128107141568e-07,
192
- "ram": 4.156079957501959e-08,
193
  "gpu": 0.0,
194
- "total": 1.0359736102891767e-06
195
  },
196
  "efficiency": {
197
  "unit": "tokens/kWh",
198
- "value": 965275.5534196134
199
  }
200
  },
201
  "per_token": {
202
  "memory": null,
203
  "latency": {
204
  "unit": "s",
205
- "count": 12,
206
- "total": 0.9292835340000067,
207
- "mean": 0.07744029450000056,
208
- "stdev": 0.0035348697271615466,
209
- "p50": 0.07841481900000247,
210
- "p90": 0.08042851870000049,
211
- "p95": 0.08081492074999944,
212
- "p99": 0.08109825214999916,
213
  "values": [
214
- 0.08116908499999909,
215
- 0.08052514999999971,
216
- 0.07955883700000754,
217
- 0.07794265699999414,
218
- 0.07869141700001592,
219
- 0.0784128399999986,
220
- 0.07802812599999243,
221
- 0.07884813799998369,
222
- 0.07841679800000634,
223
- 0.07801235600001633,
224
- 0.07006920699998886,
225
- 0.0696089230000041
 
 
226
  ]
227
  },
228
  "throughput": {
229
  "unit": "tokens/s",
230
- "value": 12.913174032415291
231
  },
232
  "energy": null,
233
  "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-6.5.0-1018-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
+ "optimum_benchmark_commit": "8d79709992edcccdc1bf81d55005e3bb3ccf994a",
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": 958.517248,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
107
  },
108
  "latency": {
109
  "unit": "s",
110
+ "count": 15,
111
+ "total": 0.6466673000000185,
112
+ "mean": 0.04311115333333457,
113
+ "stdev": 0.000628344142034814,
114
+ "p50": 0.04300828999998885,
115
+ "p90": 0.04377932500000838,
116
+ "p95": 0.044056888800011504,
117
+ "p99": 0.044363279360003956,
118
  "values": [
119
+ 0.04389275100001555,
120
+ 0.04296841599997947,
121
+ 0.042400681000003715,
122
+ 0.04348359200000118,
123
+ 0.04281238599998005,
124
+ 0.043486647000008816,
125
+ 0.04346382599999288,
126
+ 0.042831762000020035,
127
+ 0.043609185999997635,
128
+ 0.04300828999998885,
129
+ 0.043395868999994036,
130
+ 0.042539683000001105,
131
+ 0.04214698800001315,
132
+ 0.04443987700000207,
133
+ 0.04218734600001994
134
  ]
135
  },
136
  "throughput": {
137
  "unit": "tokens/s",
138
+ "value": 46.391707142141165
139
  },
140
  "energy": {
141
  "unit": "kWh",
142
+ "cpu": 1.6796448164516025e-06,
143
+ "ram": 7.019462726404414e-08,
144
  "gpu": 0.0,
145
+ "total": 1.7498394437156467e-06
146
  },
147
  "efficiency": {
148
  "unit": "tokens/kWh",
149
+ "value": 1142962.0055615827
150
  }
151
  },
152
  "decode": {
153
  "memory": {
154
  "unit": "MB",
155
+ "max_ram": 958.517248,
156
  "max_global_vram": null,
157
  "max_process_vram": null,
158
  "max_reserved": null,
 
160
  },
161
  "latency": {
162
  "unit": "s",
163
+ "count": 15,
164
+ "total": 0.40138098100004527,
165
+ "mean": 0.026758732066669684,
166
+ "stdev": 0.0006395512971557634,
167
+ "p50": 0.026560845000005884,
168
+ "p90": 0.027579339199996868,
169
+ "p95": 0.027994945499995084,
170
+ "p99": 0.028276997899993148,
171
  "values": [
172
+ 0.028347510999992664,
173
+ 0.0264083320000168,
174
+ 0.026787815999995246,
175
+ 0.026950647999996136,
176
+ 0.026431716000018923,
177
+ 0.027182578999997986,
178
+ 0.02709183000001758,
179
+ 0.02641869100000349,
180
+ 0.026634330000007367,
181
+ 0.026560845000005884,
182
+ 0.02641063600000848,
183
+ 0.026550085000025092,
184
+ 0.02784384599999612,
185
+ 0.025873698999987482,
186
+ 0.025888416999976016
187
  ]
188
  },
189
  "throughput": {
190
  "unit": "tokens/s",
191
+ "value": 37.37097847194286
192
  },
193
  "energy": {
194
  "unit": "kWh",
195
+ "cpu": 9.204493076712996e-07,
196
+ "ram": 3.846905034495762e-08,
197
  "gpu": 0.0,
198
+ "total": 9.589183580162575e-07
199
  },
200
  "efficiency": {
201
  "unit": "tokens/kWh",
202
+ "value": 1042841.6471958357
203
  }
204
  },
205
  "per_token": {
206
  "memory": null,
207
  "latency": {
208
  "unit": "s",
209
+ "count": 14,
210
+ "total": 0.9760648460000141,
211
+ "mean": 0.06971891757142958,
212
+ "stdev": 0.0007157762539604539,
213
+ "p50": 0.06970139349999727,
214
+ "p90": 0.07056339270000364,
215
+ "p95": 0.07060894270000802,
216
+ "p99": 0.0706569293400213,
217
  "values": [
218
+ 0.06939534200000708,
219
+ 0.06911407999999142,
220
+ 0.0705324730000143,
221
+ 0.06928323399998249,
222
+ 0.07066892600002461,
223
+ 0.07057664399999908,
224
+ 0.06926396800000134,
225
+ 0.07027315199999862,
226
+ 0.06957379299998934,
227
+ 0.06982941699999401,
228
+ 0.06910669000001235,
229
+ 0.0698289940000052,
230
+ 0.07052190299998529,
231
+ 0.06809623000000897
232
  ]
233
  },
234
  "throughput": {
235
  "unit": "tokens/s",
236
+ "value": 14.343309317380946
237
  },
238
  "energy": null,
239
  "efficiency": null