IlyasMoutawwakil HF staff commited on
Commit
4050534
1 Parent(s): f4038ad

Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub

Browse files
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-6.5.0-1025-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
- "optimum_benchmark_commit": "bf12ccfcd7efa011d0d69377131432e9b545fd5a",
84
  "transformers_version": "4.44.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 1111.425024,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -108,31 +108,31 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
- "total": 4.772872422000006,
112
- "mean": 4.772872422000006,
113
  "stdev": 0.0,
114
- "p50": 4.772872422000006,
115
- "p90": 4.772872422000006,
116
- "p95": 4.772872422000006,
117
- "p99": 4.772872422000006,
118
  "values": [
119
- 4.772872422000006
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 6.735453931111156e-05,
126
- "ram": 2.815250172888916e-06,
127
  "gpu": 0,
128
- "total": 7.016978948400048e-05
129
  },
130
  "efficiency": null
131
  },
132
  "prefill": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 964.780032,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,52 +140,51 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 15,
144
- "total": 0.6524966390000202,
145
- "mean": 0.04349977593333468,
146
- "stdev": 0.003092447535758227,
147
- "p50": 0.04202730299999757,
148
- "p90": 0.04676372739999692,
149
- "p95": 0.04819776710000098,
150
- "p99": 0.05069141742001932,
151
  "values": [
152
- 0.04202730299999757,
153
- 0.042146134999995866,
154
- 0.04105536399998755,
155
- 0.041839120999981105,
156
- 0.042114695000009306,
157
- 0.04161800700001095,
158
- 0.041527145999992854,
159
- 0.04661649400000556,
160
- 0.04633848500000681,
161
- 0.0513148300000239,
162
- 0.04686188299999117,
163
- 0.04658133999998881,
164
- 0.040574024000022746,
165
- 0.04076550299998871,
166
- 0.04111630900001728
167
  ]
168
  },
169
  "throughput": {
170
  "unit": "tokens/s",
171
- "value": 45.977248321119816
172
  },
173
  "energy": {
174
  "unit": "kWh",
175
- "cpu": 1.6238961780092531e-06,
176
- "ram": 6.786528290139388e-08,
177
  "gpu": 0.0,
178
- "total": 1.691761460910647e-06
179
  },
180
  "efficiency": {
181
  "unit": "tokens/kWh",
182
- "value": 1182199.7640987951
183
  }
184
  },
185
  "decode": {
186
  "memory": {
187
  "unit": "MB",
188
- "max_ram": 965.566464,
189
  "max_global_vram": null,
190
  "max_process_vram": null,
191
  "max_reserved": null,
@@ -193,81 +192,79 @@
193
  },
194
  "latency": {
195
  "unit": "s",
196
- "count": 15,
197
- "total": 0.4009177750000674,
198
- "mean": 0.026727851666671163,
199
- "stdev": 0.0014981515497945964,
200
- "p50": 0.02587805300001378,
201
- "p90": 0.028940147599996635,
202
- "p95": 0.029004117099995598,
203
- "p99": 0.029009312220013614,
204
  "values": [
205
- 0.025842947000001004,
206
- 0.025634147000005214,
207
- 0.025819885000004206,
208
- 0.025968282000008003,
209
- 0.02587805300001378,
210
- 0.02534497599998531,
211
- 0.02816048100001467,
212
- 0.02884836800001267,
213
- 0.028450514000013527,
214
- 0.029001333999985945,
215
- 0.029010611000018116,
216
- 0.02741643000001659,
217
- 0.024998498999991625,
218
- 0.025428913000013154,
219
- 0.025114334999983612
220
  ]
221
  },
222
  "throughput": {
223
  "unit": "tokens/s",
224
- "value": 37.41415555844955
225
  },
226
  "energy": {
227
  "unit": "kWh",
228
- "cpu": 9.603270865741055e-07,
229
- "ram": 4.0131232652662614e-08,
230
  "gpu": 0.0,
231
- "total": 1.000458319226768e-06
232
  },
233
  "efficiency": {
234
  "unit": "tokens/kWh",
235
- "value": 999541.8907335168
236
  }
237
  },
238
  "per_token": {
239
  "memory": null,
240
  "latency": {
241
  "unit": "s",
242
- "count": 15,
243
- "total": 0.3951591370000358,
244
- "mean": 0.026343942466669053,
245
- "stdev": 0.0014385261068004369,
246
- "p50": 0.025548127000007526,
247
- "p90": 0.028464105599994127,
248
- "p95": 0.028529594799988445,
249
- "p99": 0.028549797359996774,
250
  "values": [
251
- 0.02549763100000746,
252
- 0.025263805000008688,
253
- 0.025493063999988408,
254
- 0.02564271300002474,
255
- 0.025548127000007526,
256
- 0.024992056000002094,
257
- 0.027657360000006292,
258
- 0.028382106000009344,
259
- 0.027959916000014573,
260
- 0.028518771999983983,
261
- 0.028554847999998856,
262
- 0.02709951799999999,
263
- 0.024645648999978675,
264
- 0.02509488800001236,
265
- 0.02480868399999281
266
  ]
267
  },
268
  "throughput": {
269
  "unit": "tokens/s",
270
- "value": 37.95939052270641
271
  },
272
  "energy": null,
273
  "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-6.5.0-1025-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "6ad94507b5a05ceef8e5c33b1b3e8110ab062b31",
84
  "transformers_version": "4.44.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 1110.790144,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.8609619580000185,
112
+ "mean": 4.8609619580000185,
113
  "stdev": 0.0,
114
+ "p50": 4.8609619580000185,
115
+ "p90": 4.8609619580000185,
116
+ "p95": 4.8609619580000185,
117
+ "p99": 4.8609619580000185,
118
  "values": [
119
+ 4.8609619580000185
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 6.840929763888919e-05,
126
+ "ram": 2.85933326531274e-06,
127
  "gpu": 0,
128
+ "total": 7.126863090420192e-05
129
  },
130
  "efficiency": null
131
  },
132
  "prefill": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 964.128768,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 14,
144
+ "total": 0.6311735109999859,
145
+ "mean": 0.045083822214284704,
146
+ "stdev": 0.0030931362156399423,
147
+ "p50": 0.04368697999998972,
148
+ "p90": 0.04928761070000291,
149
+ "p95": 0.049864165299999284,
150
+ "p99": 0.05063433625999891,
151
  "values": [
152
+ 0.04934578099999953,
153
+ 0.050826878999998826,
154
+ 0.04790171399997689,
155
+ 0.049151880000010806,
156
+ 0.048147984000024735,
157
+ 0.04393180699997856,
158
+ 0.044000424999978804,
159
+ 0.04226303899997674,
160
+ 0.042651806000037595,
161
+ 0.04344215300000087,
162
+ 0.041916242000013426,
163
+ 0.04240750899998602,
164
+ 0.04224061700000448,
165
+ 0.04294567499999857
 
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "tokens/s",
170
+ "value": 44.361810994949415
171
  },
172
  "energy": {
173
  "unit": "kWh",
174
+ "cpu": 1.6773397212962968e-06,
175
+ "ram": 7.009856731272745e-08,
176
  "gpu": 0.0,
177
+ "total": 1.747438288609024e-06
178
  },
179
  "efficiency": {
180
  "unit": "tokens/kWh",
181
+ "value": 1144532.5497543134
182
  }
183
  },
184
  "decode": {
185
  "memory": {
186
  "unit": "MB",
187
+ "max_ram": 965.046272,
188
  "max_global_vram": null,
189
  "max_process_vram": null,
190
  "max_reserved": null,
 
192
  },
193
  "latency": {
194
  "unit": "s",
195
+ "count": 14,
196
+ "total": 0.3935924569998974,
197
+ "mean": 0.028113746928564103,
198
+ "stdev": 0.002343312712023208,
199
+ "p50": 0.027110459499994022,
200
+ "p90": 0.03195006059998491,
201
+ "p95": 0.032529757699990114,
202
+ "p99": 0.032597161140006395,
203
  "values": [
204
+ 0.03248438999997916,
205
+ 0.03261401200001046,
206
+ 0.030236478999995597,
207
+ 0.030703291999998328,
208
+ 0.027758300999948915,
209
+ 0.0271359569999845,
210
+ 0.027084962000003543,
211
+ 0.02640169600005038,
212
+ 0.02608280999999124,
213
+ 0.028765070000019932,
214
+ 0.025737874999947508,
215
+ 0.026148621999993793,
216
+ 0.02627069200002552,
217
+ 0.026168298999948547
 
218
  ]
219
  },
220
  "throughput": {
221
  "unit": "tokens/s",
222
+ "value": 35.56978735495342
223
  },
224
  "energy": {
225
  "unit": "kWh",
226
+ "cpu": 1.0513552298148515e-06,
227
+ "ram": 4.3938493552671946e-08,
228
  "gpu": 0.0,
229
+ "total": 1.0952937233675228e-06
230
  },
231
  "efficiency": {
232
  "unit": "tokens/kWh",
233
+ "value": 912997.1063154287
234
  }
235
  },
236
  "per_token": {
237
  "memory": null,
238
  "latency": {
239
  "unit": "s",
240
+ "count": 14,
241
+ "total": 0.38785050899997486,
242
+ "mean": 0.02770360778571249,
243
+ "stdev": 0.0022628279580018565,
244
+ "p50": 0.026727243999999928,
245
+ "p90": 0.03139032150000389,
246
+ "p95": 0.0319736770999981,
247
+ "p99": 0.03206156022000926,
248
  "values": [
249
+ 0.03191452499999059,
250
+ 0.032083531000012044,
251
+ 0.029693544999986443,
252
+ 0.030167180000034932,
253
+ 0.027387667999960286,
254
+ 0.02677404100001013,
255
+ 0.026680446999989726,
256
+ 0.026056661000041004,
257
+ 0.025701486999992085,
258
+ 0.028412912000021606,
259
+ 0.025411214999962795,
260
+ 0.025811062000002494,
261
+ 0.02592527600000949,
262
+ 0.02583095899996124
 
263
  ]
264
  },
265
  "throughput": {
266
  "unit": "tokens/s",
267
+ "value": 36.09638166028785
268
  },
269
  "energy": null,
270
  "efficiency": null