IlyasMoutawwakil HF staff commited on
Commit
ea0da83
1 Parent(s): fbb32aa

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": 16757.338112,
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": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
- "optimum_benchmark_commit": "8e57994b5ce38f2b6b651d101ec502f7ee7fbb9a",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 1120.329728,
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": 5.017070402999991,
112
- "mean": 5.017070402999991,
113
  "stdev": 0.0,
114
- "p50": 5.017070402999991,
115
- "p90": 5.017070402999991,
116
- "p95": 5.017070402999991,
117
- "p99": 5.017070402999991,
118
  "values": [
119
- 5.017070402999991
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 6.728224047222178e-05,
126
- "ram": 2.8122199025803335e-06,
127
  "gpu": 0,
128
- "total": 7.00944603748021e-05
129
  },
130
  "efficiency": null
131
  },
132
  "prefill": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 974.061568,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,50 +140,51 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 13,
144
- "total": 0.6606835739999042,
145
- "mean": 0.05082181338460801,
146
- "stdev": 0.00118348843917796,
147
- "p50": 0.050745018999975855,
148
- "p90": 0.052376879400014786,
149
- "p95": 0.05250148280000531,
150
- "p99": 0.052639702159983696,
151
  "values": [
152
- 0.04951615900000661,
153
- 0.0508758940000007,
154
- 0.05048663799999531,
155
- 0.0488328349999847,
156
- 0.0526742569999783,
157
- 0.05238630000002331,
158
- 0.04905504999999266,
159
- 0.05033489999999574,
160
- 0.05167631199998368,
161
- 0.052339196999980686,
162
- 0.050607342999967386,
163
- 0.050745018999975855,
164
- 0.05115367000001925
 
165
  ]
166
  },
167
  "throughput": {
168
  "unit": "tokens/s",
169
- "value": 39.3531805892964
170
  },
171
  "energy": {
172
  "unit": "kWh",
173
- "cpu": 1.8056321606061028e-06,
174
- "ram": 7.545852330396526e-08,
175
  "gpu": 0.0,
176
- "total": 1.8810906839100681e-06
177
  },
178
  "efficiency": {
179
  "unit": "tokens/kWh",
180
- "value": 1063212.9631532514
181
  }
182
  },
183
  "decode": {
184
  "memory": {
185
  "unit": "MB",
186
- "max_ram": 974.716928,
187
  "max_global_vram": null,
188
  "max_process_vram": null,
189
  "max_reserved": null,
@@ -191,77 +192,79 @@
191
  },
192
  "latency": {
193
  "unit": "s",
194
- "count": 13,
195
- "total": 0.39320495200001915,
196
- "mean": 0.030246534769232242,
197
- "stdev": 0.0011112364677568942,
198
- "p50": 0.030108585999983006,
199
- "p90": 0.03108527659999254,
200
- "p95": 0.032026009600008364,
201
- "p99": 0.03303110032001769,
202
  "values": [
203
- 0.030672646999960307,
204
- 0.030108585999983006,
205
- 0.029186296000034417,
206
- 0.030253605999973843,
207
- 0.033282373000020016,
208
- 0.03036757799998213,
209
- 0.029989742999987357,
210
- 0.03046646000001374,
211
- 0.031188434000000598,
212
- 0.02951857599998675,
213
- 0.029828453000050104,
214
- 0.030030740000029255,
215
- 0.028311459999997624
 
216
  ]
217
  },
218
  "throughput": {
219
  "unit": "tokens/s",
220
- "value": 33.06163855230228
221
  },
222
  "energy": {
223
  "unit": "kWh",
224
- "cpu": 9.652748879125039e-07,
225
- "ram": 4.034191692201517e-08,
226
  "gpu": 0.0,
227
- "total": 1.0056168048345194e-06
228
  },
229
  "efficiency": {
230
  "unit": "tokens/kWh",
231
- "value": 994414.5674500301
232
  }
233
  },
234
  "per_token": {
235
  "memory": null,
236
  "latency": {
237
  "unit": "s",
238
- "count": 13,
239
- "total": 0.3864029629999095,
240
- "mean": 0.029723304846146884,
241
- "stdev": 0.001084611536461603,
242
- "p50": 0.029584508999960235,
243
- "p90": 0.03052344859999039,
244
- "p95": 0.03146941699999388,
245
- "p99": 0.03249196819998815,
246
  "values": [
247
- 0.030148078999957306,
248
- 0.029584508999960235,
249
- 0.028685021999990568,
250
- 0.02969060699996362,
251
- 0.03274760599998672,
252
- 0.029847748999998203,
253
- 0.029390385999988666,
254
- 0.029922548000001825,
255
- 0.03061729099999866,
256
- 0.02901574999998502,
257
- 0.029310028000054444,
258
- 0.029504210000027342,
259
- 0.0279391779999969
 
260
  ]
261
  },
262
  "throughput": {
263
  "unit": "tokens/s",
264
- "value": 33.64363435278069
265
  },
266
  "energy": null,
267
  "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": "a38b9ad1f603bed36d9a51f418af821526aa4776",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.34.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 1120.452608,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.971347182000045,
112
+ "mean": 4.971347182000045,
113
  "stdev": 0.0,
114
+ "p50": 4.971347182000045,
115
+ "p90": 4.971347182000045,
116
+ "p95": 4.971347182000045,
117
+ "p99": 4.971347182000045,
118
  "values": [
119
+ 4.971347182000045
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 6.86789030666666e-05,
126
+ "ram": 2.870602845833556e-06,
127
  "gpu": 0,
128
+ "total": 7.154950591250015e-05
129
  },
130
  "efficiency": null
131
  },
132
  "prefill": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 974.196736,
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": 0.6459417419999909,
145
+ "mean": 0.046138695857142205,
146
+ "stdev": 0.0022938885813929607,
147
+ "p50": 0.047261455000011665,
148
+ "p90": 0.04819082340000023,
149
+ "p95": 0.04829793089999157,
150
+ "p99": 0.048380139779976614,
151
  "values": [
152
+ 0.047106271000018296,
153
+ 0.047416639000005034,
154
+ 0.04796989999999823,
155
+ 0.04807001599999694,
156
+ 0.04806495799999766,
157
+ 0.04670207700002038,
158
+ 0.04840069199997288,
159
+ 0.047874763000038456,
160
+ 0.048242598000001635,
161
+ 0.043629858999963744,
162
+ 0.04226758599997993,
163
+ 0.04251509799996711,
164
+ 0.04273223299998108,
165
+ 0.044949052000049505
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "tokens/s",
170
+ "value": 43.347562449370855
171
  },
172
  "energy": {
173
  "unit": "kWh",
174
+ "cpu": 1.6945578272946532e-06,
175
+ "ram": 7.08179840722991e-08,
176
  "gpu": 0.0,
177
+ "total": 1.7653758113669521e-06
178
  },
179
  "efficiency": {
180
  "unit": "tokens/kWh",
181
+ "value": 1132903.2533029756
182
  }
183
  },
184
  "decode": {
185
  "memory": {
186
  "unit": "MB",
187
+ "max_ram": 974.589952,
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": 0.39573163400001476,
197
+ "mean": 0.02826654528571534,
198
+ "stdev": 0.0016085705090884627,
199
+ "p50": 0.029242404999990868,
200
+ "p90": 0.02939422069998727,
201
+ "p95": 0.02975399204998439,
202
+ "p99": 0.030273889609991327,
203
  "values": [
204
+ 0.02915886400001,
205
+ 0.029371260000004895,
206
+ 0.029305927999985215,
207
+ 0.030403863999993064,
208
+ 0.029301228999997875,
209
+ 0.029266966000022876,
210
+ 0.029317350000042097,
211
+ 0.02921784399995886,
212
+ 0.02940406099997972,
213
+ 0.025571119999995062,
214
+ 0.02608762300002354,
215
+ 0.025557784999989508,
216
+ 0.02695941600001106,
217
+ 0.026808324000000994
218
  ]
219
  },
220
  "throughput": {
221
  "unit": "tokens/s",
222
+ "value": 35.37751040645762
223
  },
224
  "energy": {
225
  "unit": "kWh",
226
+ "cpu": 9.982612838163296e-07,
227
+ "ram": 4.171891356664181e-08,
228
  "gpu": 0.0,
229
+ "total": 1.0399801973829718e-06
230
  },
231
  "efficiency": {
232
  "unit": "tokens/kWh",
233
+ "value": 961556.7705196899
234
  }
235
  },
236
  "per_token": {
237
  "memory": null,
238
  "latency": {
239
  "unit": "s",
240
+ "count": 14,
241
+ "total": 0.3892405020001206,
242
+ "mean": 0.027802893000008617,
243
+ "stdev": 0.0015366663695830915,
244
+ "p50": 0.028728086499995698,
245
+ "p90": 0.028885314599989442,
246
+ "p95": 0.029229944599993018,
247
+ "p99": 0.0297255337200005,
248
  "values": [
249
+ 0.02865308200000527,
250
+ 0.028859506999992846,
251
+ 0.02877810400002545,
252
+ 0.02984943100000237,
253
+ 0.028758407999987412,
254
+ 0.02875987200002328,
255
+ 0.02882642500003385,
256
+ 0.028697765000003983,
257
+ 0.028896374999987984,
258
+ 0.025206741000033617,
259
+ 0.025738152000030823,
260
+ 0.02517562299999554,
261
+ 0.02659968599999729,
262
+ 0.0264413310000009
263
  ]
264
  },
265
  "throughput": {
266
  "unit": "tokens/s",
267
+ "value": 35.96748007481416
268
  },
269
  "energy": null,
270
  "efficiency": null