Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
e8f8713
•
1 Parent(s): be9bc61

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 +112 -85
cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json CHANGED
@@ -50,8 +50,8 @@
50
  "sequence_length": 2
51
  },
52
  "new_tokens": null,
53
- "latency": true,
54
  "memory": true,
 
55
  "energy": true,
56
  "forward_kwargs": {},
57
  "generate_kwargs": {
@@ -74,14 +74,14 @@
74
  "environment": {
75
  "cpu": " AMD EPYC 7763 64-Core Processor",
76
  "cpu_count": 4,
77
- "cpu_ram_mb": 16757.338112,
78
  "system": "Linux",
79
  "machine": "x86_64",
80
  "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
81
  "processor": "x86_64",
82
  "python_version": "3.10.14",
83
  "optimum_benchmark_version": "0.3.1",
84
- "optimum_benchmark_commit": "10c9775dced65978a85f54ff6905a3aea7d61cca",
85
  "transformers_version": "4.42.4",
86
  "transformers_commit": null,
87
  "accelerate_version": "0.32.1",
@@ -97,10 +97,43 @@
97
  }
98
  },
99
  "report": {
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
100
  "prefill": {
101
  "memory": {
102
  "unit": "MB",
103
- "max_ram": 961.908736,
104
  "max_global_vram": null,
105
  "max_process_vram": null,
106
  "max_reserved": null,
@@ -108,52 +141,50 @@
108
  },
109
  "latency": {
110
  "unit": "s",
111
- "count": 15,
112
- "total": 0.6414798319999306,
113
- "mean": 0.04276532213332871,
114
- "stdev": 0.001357052036040282,
115
- "p50": 0.0424002459999997,
116
- "p90": 0.04398772619999249,
117
- "p95": 0.044713931399994064,
118
- "p99": 0.04602963347999719,
119
  "values": [
120
- 0.042279779000011786,
121
- 0.04291965599998093,
122
- 0.04271365799999671,
123
- 0.044009090999992395,
124
- 0.042203035,
125
- 0.043153376999981674,
126
- 0.04395567899999264,
127
- 0.04388750999999047,
128
- 0.0419444870000234,
129
- 0.0424002459999997,
130
- 0.042068709999995235,
131
- 0.04203915899998378,
132
- 0.04635855899999797,
133
- 0.04072102499998209,
134
- 0.04082586100000185
135
  ]
136
  },
137
  "throughput": {
138
  "unit": "tokens/s",
139
- "value": 46.76686390352993
140
  },
141
  "energy": {
142
  "unit": "kWh",
143
- "cpu": 1.6191736857096356e-06,
144
- "ram": 6.766742630272045e-08,
145
  "gpu": 0.0,
146
- "total": 1.6868411120123558e-06
147
  },
148
  "efficiency": {
149
  "unit": "tokens/kWh",
150
- "value": 1185648.1240334806
151
  }
152
  },
153
  "decode": {
154
  "memory": {
155
  "unit": "MB",
156
- "max_ram": 961.908736,
157
  "max_global_vram": null,
158
  "max_process_vram": null,
159
  "max_reserved": null,
@@ -161,81 +192,77 @@
161
  },
162
  "latency": {
163
  "unit": "s",
164
- "count": 15,
165
- "total": 0.3923962130001257,
166
- "mean": 0.026159747533341715,
167
- "stdev": 0.0007314638575776776,
168
- "p50": 0.026228414000001976,
169
- "p90": 0.02696258080001144,
170
- "p95": 0.027090771200013818,
171
- "p99": 0.027184282240015706,
172
  "values": [
173
- 0.025839221000012458,
174
- 0.026562163000022565,
175
- 0.026140067000000045,
176
- 0.027207660000016176,
177
- 0.025852906000011444,
178
- 0.026427699999999277,
179
- 0.02704067600001281,
180
- 0.02684543800000938,
181
- 0.026228414000001976,
182
- 0.025676694000026146,
183
- 0.026399392000001853,
184
- 0.026097254999996267,
185
- 0.02677759200000196,
186
- 0.024568122999994557,
187
- 0.024732912000018814
188
  ]
189
  },
190
  "throughput": {
191
  "unit": "tokens/s",
192
- "value": 38.22666861465147
193
  },
194
  "energy": {
195
  "unit": "kWh",
196
- "cpu": 9.670032229688433e-07,
197
- "ram": 4.041078584515176e-08,
198
  "gpu": 0.0,
199
- "total": 1.0074140088139951e-06
200
  },
201
  "efficiency": {
202
  "unit": "tokens/kWh",
203
- "value": 992640.5541821644
204
  }
205
  },
206
  "per_token": {
207
  "memory": null,
208
  "latency": {
209
  "unit": "s",
210
- "count": 15,
211
- "total": 0.3870888670000454,
212
- "mean": 0.025805924466669693,
213
- "stdev": 0.0007128265241325018,
214
- "p50": 0.025884636000000683,
215
- "p90": 0.026596047600003205,
216
- "p95": 0.02671607870001367,
217
- "p99": 0.026823099740021235,
218
  "values": [
219
- 0.02550944899999763,
220
- 0.026186985999999024,
221
- 0.025780789000009463,
222
- 0.026849855000023126,
223
- 0.025529094999996005,
224
- 0.025898943000015606,
225
- 0.026658746000009614,
226
- 0.026501999999993586,
227
- 0.025884636000000683,
228
- 0.02533705300001543,
229
- 0.026068750999996837,
230
- 0.02574249899998904,
231
- 0.02645100899999875,
232
- 0.024259223000001384,
233
- 0.024429832999999235
234
  ]
235
  },
236
  "throughput": {
237
  "unit": "tokens/s",
238
- "value": 38.7507915591854
239
  },
240
  "energy": null,
241
  "efficiency": null
 
50
  "sequence_length": 2
51
  },
52
  "new_tokens": null,
 
53
  "memory": true,
54
+ "latency": true,
55
  "energy": true,
56
  "forward_kwargs": {},
57
  "generate_kwargs": {
 
74
  "environment": {
75
  "cpu": " AMD EPYC 7763 64-Core Processor",
76
  "cpu_count": 4,
77
+ "cpu_ram_mb": 16757.342208,
78
  "system": "Linux",
79
  "machine": "x86_64",
80
  "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
81
  "processor": "x86_64",
82
  "python_version": "3.10.14",
83
  "optimum_benchmark_version": "0.3.1",
84
+ "optimum_benchmark_commit": "701e27ceb63d18a62041650e250fe65f56ad5904",
85
  "transformers_version": "4.42.4",
86
  "transformers_commit": null,
87
  "accelerate_version": "0.32.1",
 
97
  }
98
  },
99
  "report": {
100
+ "load": {
101
+ "memory": {
102
+ "unit": "MB",
103
+ "max_ram": 1100.894208,
104
+ "max_global_vram": null,
105
+ "max_process_vram": null,
106
+ "max_reserved": null,
107
+ "max_allocated": null
108
+ },
109
+ "latency": {
110
+ "unit": "s",
111
+ "count": 1,
112
+ "total": 4.780214838999996,
113
+ "mean": 4.780214838999996,
114
+ "stdev": 0.0,
115
+ "p50": 4.780214838999996,
116
+ "p90": 4.780214838999996,
117
+ "p95": 4.780214838999996,
118
+ "p99": 4.780214838999996,
119
+ "values": [
120
+ 4.780214838999996
121
+ ]
122
+ },
123
+ "throughput": null,
124
+ "energy": {
125
+ "unit": "kWh",
126
+ "cpu": 6.719004842970107e-05,
127
+ "ram": 2.8083748754738735e-06,
128
+ "gpu": 0,
129
+ "total": 6.999842330517495e-05
130
+ },
131
+ "efficiency": null
132
+ },
133
  "prefill": {
134
  "memory": {
135
  "unit": "MB",
136
+ "max_ram": 954.617856,
137
  "max_global_vram": null,
138
  "max_process_vram": null,
139
  "max_reserved": null,
 
141
  },
142
  "latency": {
143
  "unit": "s",
144
+ "count": 13,
145
+ "total": 0.6210275410000463,
146
+ "mean": 0.04777134930769587,
147
+ "stdev": 0.0009193228560687074,
148
+ "p50": 0.04778399599999261,
149
+ "p90": 0.048928459800009705,
150
+ "p95": 0.04905860220000591,
151
+ "p99": 0.04913323403999925,
152
  "values": [
153
+ 0.046934160000006386,
154
+ 0.048996409000011454,
155
+ 0.04865666300000271,
156
+ 0.04644031399999449,
157
+ 0.04915189199999759,
158
+ 0.04778399599999261,
159
+ 0.04638372900001286,
160
+ 0.04696660100000827,
161
+ 0.04861415299998839,
162
+ 0.047880627000012055,
163
+ 0.04846331000001669,
164
+ 0.04772424300000466,
165
+ 0.047031443999998146
 
 
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "tokens/s",
170
+ "value": 41.86609817357208
171
  },
172
  "energy": {
173
  "unit": "kWh",
174
+ "cpu": 1.6613422168625727e-06,
175
+ "ram": 6.942955414174889e-08,
176
  "gpu": 0.0,
177
+ "total": 1.7307717710043216e-06
178
  },
179
  "efficiency": {
180
  "unit": "tokens/kWh",
181
+ "value": 1155553.8595591101
182
  }
183
  },
184
  "decode": {
185
  "memory": {
186
  "unit": "MB",
187
+ "max_ram": 955.142144,
188
  "max_global_vram": null,
189
  "max_process_vram": null,
190
  "max_reserved": null,
 
192
  },
193
  "latency": {
194
  "unit": "s",
195
+ "count": 13,
196
+ "total": 0.3904060739999977,
197
+ "mean": 0.030031236461538286,
198
+ "stdev": 0.0013511350541828351,
199
+ "p50": 0.030393991000011056,
200
+ "p90": 0.030839727000005722,
201
+ "p95": 0.03114112640000144,
202
+ "p99": 0.031457420479995335,
203
  "values": [
204
+ 0.03064129500000945,
205
+ 0.030629632999989553,
206
+ 0.030877548000006527,
207
+ 0.030530687000009493,
208
+ 0.030393991000011056,
209
+ 0.029912327000005234,
210
+ 0.030688443000002508,
211
+ 0.030184567999981482,
212
+ 0.030314922000002298,
213
+ 0.028842239999988806,
214
+ 0.03153649399999381,
215
+ 0.030026883000005,
216
+ 0.0258270429999925
 
 
217
  ]
218
  },
219
  "throughput": {
220
  "unit": "tokens/s",
221
+ "value": 33.29866225390765
222
  },
223
  "energy": {
224
  "unit": "kWh",
225
+ "cpu": 9.93105868498485e-07,
226
+ "ram": 4.150323855341754e-08,
227
  "gpu": 0.0,
228
+ "total": 1.034609107051902e-06
229
  },
230
  "efficiency": {
231
  "unit": "tokens/kWh",
232
+ "value": 966548.6154954502
233
  }
234
  },
235
  "per_token": {
236
  "memory": null,
237
  "latency": {
238
  "unit": "s",
239
+ "count": 13,
240
+ "total": 0.3842157409999629,
241
+ "mean": 0.029555056999997147,
242
+ "stdev": 0.0013057223390617963,
243
+ "p50": 0.029879836000020532,
244
+ "p90": 0.030366949999989856,
245
+ "p95": 0.030661538399994016,
246
+ "p99": 0.030966545279997034,
247
  "values": [
248
+ 0.03012916399998744,
249
+ 0.030111852000004546,
250
+ 0.030407365999991498,
251
+ 0.03005145800000264,
252
+ 0.029879836000020532,
253
+ 0.029448957999989034,
254
+ 0.03020528599998329,
255
+ 0.029668710999999348,
256
+ 0.02982945200000131,
257
+ 0.028376034999979538,
258
+ 0.03104279699999779,
259
+ 0.029549588000008953,
260
+ 0.025515237999996998
 
 
261
  ]
262
  },
263
  "throughput": {
264
  "unit": "tokens/s",
265
+ "value": 33.83515721184691
266
  },
267
  "energy": null,
268
  "efficiency": null