Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
09cdf42
•
1 Parent(s): bcb524c

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 +70 -70
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": 16757.342208,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.15",
82
  "optimum_benchmark_version": "0.5.0.dev0",
83
- "optimum_benchmark_commit": "22a6f3b2a99a5a143a8dca22ee7b35a1943f94ee",
84
  "transformers_version": "4.46.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "1.1.1",
@@ -101,7 +101,7 @@
101
  "load_model": {
102
  "memory": {
103
  "unit": "MB",
104
- "max_ram": 1131.835392,
105
  "max_global_vram": null,
106
  "max_process_vram": null,
107
  "max_reserved": null,
@@ -110,32 +110,32 @@
110
  "latency": {
111
  "unit": "s",
112
  "values": [
113
- 1.8840917169999898
114
  ],
115
  "count": 1,
116
- "total": 1.8840917169999898,
117
- "mean": 1.8840917169999898,
118
- "p50": 1.8840917169999898,
119
- "p90": 1.8840917169999898,
120
- "p95": 1.8840917169999898,
121
- "p99": 1.8840917169999898,
122
  "stdev": 0,
123
  "stdev_": 0
124
  },
125
  "throughput": null,
126
  "energy": {
127
  "unit": "kWh",
128
- "cpu": 0.0002017557724388894,
129
- "ram": 8.433477306050846e-06,
130
  "gpu": 0,
131
- "total": 0.00021018924974494025
132
  },
133
  "efficiency": null
134
  },
135
  "prefill": {
136
  "memory": {
137
  "unit": "MB",
138
- "max_ram": 1014.21056,
139
  "max_global_vram": null,
140
  "max_process_vram": null,
141
  "max_reserved": null,
@@ -144,44 +144,44 @@
144
  "latency": {
145
  "unit": "s",
146
  "values": [
147
- 0.1126072079999858,
148
- 0.11016039800000499,
149
- 0.11430931600000349,
150
- 0.11227174600000467,
151
- 0.11181485800000246,
152
- 0.10404508199999896,
153
- 0.10586791399998674
154
  ],
155
  "count": 7,
156
- "total": 0.7710765219999871,
157
- "mean": 0.11015378885714101,
158
- "p50": 0.11181485800000246,
159
- "p90": 0.11328805119999288,
160
- "p95": 0.11379868359999819,
161
- "p99": 0.11420718952000243,
162
- "stdev": 0.0035095305123613784,
163
- "stdev_": 3.1860279603390724
164
  },
165
  "throughput": {
166
  "unit": "samples/s",
167
- "value": 18.156434025104755
168
  },
169
  "energy": {
170
  "unit": "kWh",
171
- "cpu": 5.219046466666715e-06,
172
- "ram": 2.181179693160957e-07,
173
  "gpu": 0.0,
174
- "total": 5.437164435982807e-06
175
  },
176
  "efficiency": {
177
  "unit": "samples/kWh",
178
- "value": 367838.7923609828
179
  }
180
  },
181
  "decode": {
182
  "memory": {
183
  "unit": "MB",
184
- "max_ram": 1023.143936,
185
  "max_global_vram": null,
186
  "max_process_vram": null,
187
  "max_reserved": null,
@@ -190,38 +190,38 @@
190
  "latency": {
191
  "unit": "s",
192
  "values": [
193
- 0.04995592099999158,
194
- 0.04796003800001358,
195
- 0.05059438600000021,
196
- 0.05005529499999284,
197
- 0.04850659199999541,
198
- 0.04318630000000212,
199
- 0.04278779099999497
200
  ],
201
  "count": 7,
202
- "total": 0.3330463229999907,
203
- "mean": 0.047578046142855816,
204
- "p50": 0.04850659199999541,
205
- "p90": 0.05027093139999579,
206
- "p95": 0.050432658699998,
207
- "p99": 0.05056204053999977,
208
- "stdev": 0.003026819419194819,
209
- "stdev_": 6.361798486021515
210
  },
211
  "throughput": {
212
  "unit": "tokens/s",
213
- "value": 42.036194466558904
214
  },
215
  "energy": {
216
  "unit": "kWh",
217
- "cpu": 4.4725443333327964e-07,
218
- "ram": 1.8674589722154554e-08,
219
  "gpu": 0.0,
220
- "total": 4.6592902305544084e-07
221
  },
222
  "efficiency": {
223
  "unit": "tokens/kWh",
224
- "value": 4292499.288592332
225
  }
226
  },
227
  "per_token": {
@@ -229,23 +229,23 @@
229
  "latency": {
230
  "unit": "s",
231
  "values": [
232
- 0.04888273000000254,
233
- 0.046777353999999605,
234
- 0.04936157900002058,
235
- 0.048706202000005305,
236
- 0.04762423500000068,
237
- 0.04217543400000068,
238
- 0.04178799600001071
239
  ],
240
  "count": 7,
241
- "total": 0.3253155300000401,
242
- "mean": 0.046473647142862874,
243
- "p50": 0.04762423500000068,
244
- "p90": 0.049074269600009754,
245
- "p95": 0.04921792430001517,
246
- "p99": 0.0493328480600195,
247
- "stdev": 0.002951372197575485,
248
- "stdev_": 6.350636068012445
249
  },
250
  "throughput": null,
251
  "energy": null,
 
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-6.5.0-1025-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.15",
82
  "optimum_benchmark_version": "0.5.0.dev0",
83
+ "optimum_benchmark_commit": "17045002796df75ed197bda920a26aaf713b8c33",
84
  "transformers_version": "4.46.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "1.1.1",
 
101
  "load_model": {
102
  "memory": {
103
  "unit": "MB",
104
+ "max_ram": 1131.15136,
105
  "max_global_vram": null,
106
  "max_process_vram": null,
107
  "max_reserved": null,
 
110
  "latency": {
111
  "unit": "s",
112
  "values": [
113
+ 1.8713639290000117
114
  ],
115
  "count": 1,
116
+ "total": 1.8713639290000117,
117
+ "mean": 1.8713639290000117,
118
+ "p50": 1.8713639290000117,
119
+ "p90": 1.8713639290000117,
120
+ "p95": 1.8713639290000117,
121
+ "p99": 1.8713639290000117,
122
  "stdev": 0,
123
  "stdev_": 0
124
  },
125
  "throughput": null,
126
  "energy": {
127
  "unit": "kWh",
128
+ "cpu": 0.0001997939058500001,
129
+ "ram": 8.35150013652655e-06,
130
  "gpu": 0,
131
+ "total": 0.00020814540598652664
132
  },
133
  "efficiency": null
134
  },
135
  "prefill": {
136
  "memory": {
137
  "unit": "MB",
138
+ "max_ram": 1014.767616,
139
  "max_global_vram": null,
140
  "max_process_vram": null,
141
  "max_reserved": null,
 
144
  "latency": {
145
  "unit": "s",
146
  "values": [
147
+ 0.10858172400000399,
148
+ 0.11019876399998907,
149
+ 0.1098852180000165,
150
+ 0.10855007000000683,
151
+ 0.10888839399999029,
152
+ 0.10217686800001502,
153
+ 0.10393785200000139
154
  ],
155
  "count": 7,
156
+ "total": 0.7522188900000231,
157
+ "mean": 0.10745984142857472,
158
+ "p50": 0.10858172400000399,
159
+ "p90": 0.11001063640000552,
160
+ "p95": 0.1101047001999973,
161
+ "p99": 0.11017995123999072,
162
+ "stdev": 0.002883112094314888,
163
+ "stdev_": 2.6829670098026384
164
  },
165
  "throughput": {
166
  "unit": "samples/s",
167
+ "value": 18.611603864401186
168
  },
169
  "energy": {
170
  "unit": "kWh",
171
+ "cpu": 4.41424373703709e-06,
172
+ "ram": 1.8446767852568107e-07,
173
  "gpu": 0.0,
174
+ "total": 4.5987114155627705e-06
175
  },
176
  "efficiency": {
177
  "unit": "samples/kWh",
178
+ "value": 434904.43719335855
179
  }
180
  },
181
  "decode": {
182
  "memory": {
183
  "unit": "MB",
184
+ "max_ram": 1022.902272,
185
  "max_global_vram": null,
186
  "max_process_vram": null,
187
  "max_reserved": null,
 
190
  "latency": {
191
  "unit": "s",
192
  "values": [
193
+ 0.0456843739999897,
194
+ 0.04581914700000311,
195
+ 0.044746188999994274,
196
+ 0.04440220499998304,
197
+ 0.046791725000019824,
198
+ 0.04405995499999449,
199
+ 0.04480164299999956
200
  ],
201
  "count": 7,
202
+ "total": 0.316305237999984,
203
+ "mean": 0.045186462571426285,
204
+ "p50": 0.04480164299999956,
205
+ "p90": 0.046208178200009796,
206
+ "p95": 0.04649995160001481,
207
+ "p99": 0.04673337032001882,
208
+ "stdev": 0.0008824542892755282,
209
+ "stdev_": 1.9529173983925645
210
  },
211
  "throughput": {
212
  "unit": "tokens/s",
213
+ "value": 44.26104382122407
214
  },
215
  "energy": {
216
  "unit": "kWh",
217
+ "cpu": 1.3268953907407756e-06,
218
+ "ram": 5.5460787631562606e-08,
219
  "gpu": 0.0,
220
+ "total": 1.382356178372346e-06
221
  },
222
  "efficiency": {
223
  "unit": "tokens/kWh",
224
+ "value": 1446805.1225082222
225
  }
226
  },
227
  "per_token": {
 
229
  "latency": {
230
  "unit": "s",
231
  "values": [
232
+ 0.04461451299999908,
233
+ 0.04478972100000078,
234
+ 0.04367981400000076,
235
+ 0.0434286739999834,
236
+ 0.04597874400002411,
237
+ 0.04299348000000691,
238
+ 0.04384908100001894
239
  ],
240
  "count": 7,
241
+ "total": 0.309334027000034,
242
+ "mean": 0.04419057528571914,
243
+ "p50": 0.04384908100001894,
244
+ "p90": 0.04526533020001011,
245
+ "p95": 0.04562203710001711,
246
+ "p99": 0.04590740262002271,
247
+ "stdev": 0.0009355878407095441,
248
+ "stdev_": 2.1171660125725804
249
  },
250
  "throughput": null,
251
  "energy": null,