IlyasMoutawwakil HF staff commited on
Commit
ff0f92e
·
verified ·
1 Parent(s): b1ede39

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-6.5.0-1023-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
- "optimum_benchmark_commit": "ba7db8be4ae5965d5e6183075f0edd30672dab7b",
84
  "transformers_version": "4.42.4",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.32.1",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 1105.907712,
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": 4.828384176000014,
112
- "mean": 4.828384176000014,
113
  "stdev": 0.0,
114
- "p50": 4.828384176000014,
115
- "p90": 4.828384176000014,
116
- "p95": 4.828384176000014,
117
- "p99": 4.828384176000014,
118
  "values": [
119
- 4.828384176000014
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 6.906812323464289e-05,
126
- "ram": 2.8868256306193035e-06,
127
  "gpu": 0,
128
- "total": 7.19549488652622e-05
129
  },
130
  "efficiency": null
131
  },
132
  "prefill": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 959.115264,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -141,50 +141,50 @@
141
  "latency": {
142
  "unit": "s",
143
  "count": 14,
144
- "total": 0.6450821170000154,
145
- "mean": 0.04607729407142967,
146
- "stdev": 0.0016765819274539608,
147
- "p50": 0.04679848749999849,
148
- "p90": 0.047243375500008254,
149
- "p95": 0.047514098350004016,
150
- "p99": 0.047831600469998535,
151
  "values": [
152
- 0.04616728100000955,
153
- 0.04791097599999716,
154
- 0.046325625000008586,
155
- 0.045003436000001784,
156
- 0.0468583090000152,
157
- 0.04700736800000982,
158
- 0.04686742699999513,
159
- 0.04730039500000771,
160
- 0.04673866599998178,
161
- 0.047110330000009526,
162
- 0.047072118999977874,
163
- 0.04594711800001505,
164
- 0.04322847099999194,
165
- 0.04154459599999427
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "tokens/s",
170
- "value": 43.40532664308741
171
  },
172
  "energy": {
173
  "unit": "kWh",
174
- "cpu": 1.5813750161064998e-06,
175
- "ram": 6.608878372508873e-08,
176
  "gpu": 0.0,
177
- "total": 1.6474637998315885e-06
178
  },
179
  "efficiency": {
180
  "unit": "tokens/kWh",
181
- "value": 1213987.2209662206
182
  }
183
  },
184
  "decode": {
185
  "memory": {
186
  "unit": "MB",
187
- "max_ram": 960.032768,
188
  "max_global_vram": null,
189
  "max_process_vram": null,
190
  "max_reserved": null,
@@ -193,44 +193,44 @@
193
  "latency": {
194
  "unit": "s",
195
  "count": 14,
196
- "total": 0.39904321299997036,
197
- "mean": 0.028503086642855027,
198
- "stdev": 0.0014589327432799524,
199
- "p50": 0.029063882999992074,
200
- "p90": 0.02972551059999944,
201
- "p95": 0.029843324750002863,
202
- "p99": 0.029844606549999923,
203
  "values": [
204
- 0.029280392000003985,
205
- 0.02892587100001265,
206
- 0.028415107000000717,
207
- 0.029100485999975945,
208
- 0.029149818999997024,
209
- 0.029452623999986827,
210
- 0.02984492699999919,
211
- 0.029202416999993375,
212
- 0.028546521999999186,
213
- 0.02791046400000141,
214
- 0.029027280000008204,
215
- 0.029842462000004844,
216
- 0.025637859999989132,
217
- 0.02470698199999788
218
  ]
219
  },
220
  "throughput": {
221
  "unit": "tokens/s",
222
- "value": 35.083919595447526
223
  },
224
  "energy": {
225
  "unit": "kWh",
226
- "cpu": 9.600913723309832e-07,
227
- "ram": 4.012165362526714e-08,
228
  "gpu": 0.0,
229
- "total": 1.000213025956251e-06
230
  },
231
  "efficiency": {
232
  "unit": "tokens/kWh",
233
- "value": 999787.019414142
234
  }
235
  },
236
  "per_token": {
@@ -238,33 +238,33 @@
238
  "latency": {
239
  "unit": "s",
240
  "count": 14,
241
- "total": 0.39254265200000305,
242
- "mean": 0.028038760857143075,
243
- "stdev": 0.0014169013176732286,
244
- "p50": 0.028589932499997417,
245
- "p90": 0.029243011000011167,
246
- "p95": 0.02939295715000867,
247
- "p99": 0.029448529029997415,
248
  "values": [
249
- 0.02876651200000424,
250
- 0.02845630400000232,
251
- 0.027922326000009434,
252
- 0.028627281999973775,
253
- 0.028632642999980362,
254
- 0.028980412999999317,
255
- 0.029355553000016243,
256
- 0.02864520700001094,
257
- 0.02807323800001882,
258
- 0.027398758999993333,
259
- 0.02855258300002106,
260
- 0.029462421999994604,
261
- 0.025318422999987433,
262
- 0.024350986999991164
263
  ]
264
  },
265
  "throughput": {
266
  "unit": "tokens/s",
267
- "value": 35.66491419128613
268
  },
269
  "energy": null,
270
  "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-6.5.0-1023-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
+ "optimum_benchmark_commit": "646643b121045387ff03e098548c9336e842d8f3",
84
  "transformers_version": "4.42.4",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.32.1",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 1103.654912,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.802844774999983,
112
+ "mean": 4.802844774999983,
113
  "stdev": 0.0,
114
+ "p50": 4.802844774999983,
115
+ "p90": 4.802844774999983,
116
+ "p95": 4.802844774999983,
117
+ "p99": 4.802844774999983,
118
  "values": [
119
+ 4.802844774999983
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 6.701483858956231e-05,
126
+ "ram": 2.8010470724848345e-06,
127
  "gpu": 0,
128
+ "total": 6.981588566204714e-05
129
  },
130
  "efficiency": null
131
  },
132
  "prefill": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 957.386752,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 14,
144
+ "total": 0.63883282900008,
145
+ "mean": 0.04563091635714857,
146
+ "stdev": 0.002213579680224542,
147
+ "p50": 0.0466473055000165,
148
+ "p90": 0.04742652990001943,
149
+ "p95": 0.047624304450005185,
150
+ "p99": 0.047748182489981444,
151
  "values": [
152
+ 0.04624605200001497,
153
+ 0.046995641000023625,
154
+ 0.04686951400003636,
155
+ 0.04477609999997867,
156
+ 0.047159608000015396,
157
+ 0.046879262000004474,
158
+ 0.046325641999999334,
159
+ 0.04660511600002337,
160
+ 0.04777915199997551,
161
+ 0.04668949500000963,
162
+ 0.04754092500002116,
163
+ 0.042794276999984504,
164
+ 0.04119587400003866,
165
+ 0.04097617099995432
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "tokens/s",
170
+ "value": 43.829932853993164
171
  },
172
  "energy": {
173
  "unit": "kWh",
174
+ "cpu": 1.6219968045199363e-06,
175
+ "ram": 6.778631195686556e-08,
176
  "gpu": 0.0,
177
+ "total": 1.689783116476802e-06
178
  },
179
  "efficiency": {
180
  "unit": "tokens/kWh",
181
+ "value": 1183583.8460559368
182
  }
183
  },
184
  "decode": {
185
  "memory": {
186
  "unit": "MB",
187
+ "max_ram": 957.91104,
188
  "max_global_vram": null,
189
  "max_process_vram": null,
190
  "max_reserved": null,
 
193
  "latency": {
194
  "unit": "s",
195
  "count": 14,
196
+ "total": 0.3912477230001059,
197
+ "mean": 0.027946265928578993,
198
+ "stdev": 0.0017082342213221601,
199
+ "p50": 0.028471133000010695,
200
+ "p90": 0.029729090900002576,
201
+ "p95": 0.03000689654999178,
202
+ "p99": 0.030040838510001323,
203
  "values": [
204
+ 0.029984050999985357,
205
+ 0.028462782000019615,
206
+ 0.027959576999990077,
207
+ 0.028787753000017346,
208
+ 0.0286142979999795,
209
+ 0.028372843999989072,
210
+ 0.028479484000001776,
211
+ 0.030049324000003708,
212
+ 0.02913418400004275,
213
+ 0.029015692000029958,
214
+ 0.02499465699997927,
215
+ 0.027672137000024577,
216
+ 0.024902994999990824,
217
+ 0.024817945000052077
218
  ]
219
  },
220
  "throughput": {
221
  "unit": "tokens/s",
222
+ "value": 35.782955853767895
223
  },
224
  "energy": {
225
  "unit": "kWh",
226
+ "cpu": 9.126513092606158e-07,
227
+ "ram": 3.8142029791856676e-08,
228
  "gpu": 0.0,
229
+ "total": 9.507933390524726e-07
230
  },
231
  "efficiency": {
232
  "unit": "tokens/kWh",
233
+ "value": 1051753.2663791745
234
  }
235
  },
236
  "per_token": {
 
238
  "latency": {
239
  "unit": "s",
240
  "count": 14,
241
+ "total": 0.38511788700003535,
242
+ "mean": 0.027508420500002524,
243
+ "stdev": 0.00164165981417778,
244
+ "p50": 0.027988015500000074,
245
+ "p90": 0.02922959610000362,
246
+ "p95": 0.02949261089998174,
247
+ "p99": 0.029526584579980978,
248
  "values": [
249
+ 0.029469743999982256,
250
+ 0.027960017999987485,
251
+ 0.02752273599998034,
252
+ 0.028305417000012767,
253
+ 0.028165553999997428,
254
+ 0.027890687999956754,
255
+ 0.028016013000012663,
256
+ 0.029535077999980786,
257
+ 0.028669251000053464,
258
+ 0.02851597300002595,
259
+ 0.024673694000000523,
260
+ 0.027320948000010503,
261
+ 0.02456873699998141,
262
+ 0.02450403600005302
263
  ]
264
  },
265
  "throughput": {
266
  "unit": "tokens/s",
267
+ "value": 36.352505226532664
268
  },
269
  "energy": null,
270
  "efficiency": null