IlyasMoutawwakil HF staff commited on
Commit
303471b
·
verified ·
1 Parent(s): 4624611

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": 16757.354496,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.1",
83
- "optimum_benchmark_commit": "5e9beea10942a9d4b3bee05550004817630e3d7e",
84
  "transformers_version": "4.41.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
@@ -99,7 +99,7 @@
99
  "prefill": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 955.686912,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,50 +107,51 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 13,
111
- "total": 0.6316409749999252,
112
- "mean": 0.048587767307686554,
113
- "stdev": 0.0020453623775024367,
114
- "p50": 0.04959141299997327,
115
- "p90": 0.050212717800013705,
116
- "p95": 0.05030110580000837,
117
- "p99": 0.050357494759982725,
118
  "values": [
119
- 0.05000617300004251,
120
- 0.05025411500002974,
121
- 0.050047128999949564,
122
- 0.04983384299998761,
123
- 0.04783427799998208,
124
- 0.04905352299999777,
125
- 0.049327643000026455,
126
- 0.04959141299997327,
127
- 0.05037159199997632,
128
- 0.04969687799996336,
129
- 0.0458892440000227,
130
- 0.04631692999998904,
131
- 0.0434182139999848
 
132
  ]
133
  },
134
  "throughput": {
135
  "unit": "tokens/s",
136
- "value": 41.16262406821071
137
  },
138
  "energy": {
139
  "unit": "kWh",
140
- "cpu": 1.6749868790308638e-06,
141
- "ram": 6.999970397079854e-08,
142
  "gpu": 0.0,
143
- "total": 1.7449865830016623e-06
144
  },
145
  "efficiency": {
146
  "unit": "tokens/kWh",
147
- "value": 1146140.617631382
148
  }
149
  },
150
  "decode": {
151
  "memory": {
152
  "unit": "MB",
153
- "max_ram": 955.686912,
154
  "max_global_vram": null,
155
  "max_process_vram": null,
156
  "max_reserved": null,
@@ -158,76 +159,78 @@
158
  },
159
  "latency": {
160
  "unit": "s",
161
- "count": 13,
162
- "total": 0.38924255900013804,
163
- "mean": 0.029941735307702926,
164
- "stdev": 0.001446514681541612,
165
- "p50": 0.030516825999995945,
166
- "p90": 0.03097372700002552,
167
- "p95": 0.03128560020002169,
168
- "p99": 0.031640494440011935,
169
  "values": [
170
- 0.030719160999979067,
171
- 0.029373530999976083,
172
- 0.03098985500002982,
173
- 0.030785023000021283,
174
- 0.030909215000008317,
175
- 0.030516825999995945,
176
- 0.02921459499998491,
177
- 0.029860506000034093,
178
- 0.031729218000009496,
179
- 0.030892453000035403,
180
- 0.027263892000007672,
181
- 0.03039169200002334,
182
- 0.026596592000032615
 
183
  ]
184
  },
185
  "throughput": {
186
  "unit": "tokens/s",
187
- "value": 33.398197857381234
188
  },
189
  "energy": {
190
  "unit": "kWh",
191
- "cpu": 9.991020405734029e-07,
192
- "ram": 4.1750833485195935e-08,
193
  "gpu": 0.0,
194
- "total": 1.0408528740585994e-06
195
  },
196
  "efficiency": {
197
  "unit": "tokens/kWh",
198
- "value": 960750.577649556
199
  }
200
  },
201
  "per_token": {
202
  "memory": null,
203
  "latency": {
204
  "unit": "s",
205
- "count": 12,
206
- "total": 0.9405181589999643,
207
- "mean": 0.07837651324999702,
208
- "stdev": 0.003301421703867533,
209
- "p50": 0.07955189400001927,
210
- "p90": 0.08098435920000498,
211
- "p95": 0.08147899295001082,
212
- "p99": 0.08192913539001268,
213
  "values": [
214
- 0.07967351999997163,
215
- 0.08101862000000892,
216
- 0.08063941400001795,
217
- 0.07872141199999305,
218
- 0.07964803300001222,
219
- 0.07856301699996493,
220
- 0.07945575500002633,
221
- 0.08204167100001314,
222
- 0.08067601199996943,
223
- 0.07330637100000104,
224
- 0.07653828700000531,
225
- 0.07023604699998032
 
226
  ]
227
  },
228
  "throughput": {
229
  "unit": "tokens/s",
230
- "value": 12.758924306957965
231
  },
232
  "energy": null,
233
  "efficiency": null
 
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
+ "cpu_ram_mb": 16757.3504,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.1",
83
+ "optimum_benchmark_commit": "079be6729111d58c45eb7f4a60e984bbf86c5a81",
84
  "transformers_version": "4.41.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
 
99
  "prefill": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 945.188864,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
107
  },
108
  "latency": {
109
  "unit": "s",
110
+ "count": 14,
111
+ "total": 0.6507624449999696,
112
+ "mean": 0.046483031785712114,
113
+ "stdev": 0.0025931696521897915,
114
+ "p50": 0.04685008900000298,
115
+ "p90": 0.04941318399999375,
116
+ "p95": 0.04946861384999579,
117
+ "p99": 0.04947727237000095,
118
  "values": [
119
+ 0.04929188599999179,
120
+ 0.04929744599999708,
121
+ 0.04859576000001198,
122
+ 0.049479437000002235,
123
+ 0.047691623000019945,
124
+ 0.04946278599999232,
125
+ 0.048718202999992855,
126
+ 0.044902570999994396,
127
+ 0.04432747100000256,
128
+ 0.04600855499998602,
129
+ 0.04369961399999056,
130
+ 0.043183895999987953,
131
+ 0.043099161000014874,
132
+ 0.043004035999985035
133
  ]
134
  },
135
  "throughput": {
136
  "unit": "tokens/s",
137
+ "value": 43.026453378085314
138
  },
139
  "energy": {
140
  "unit": "kWh",
141
+ "cpu": 1.7221060352049015e-06,
142
+ "ram": 7.196881503093039e-08,
143
  "gpu": 0.0,
144
+ "total": 1.7940748502358317e-06
145
  },
146
  "efficiency": {
147
  "unit": "tokens/kWh",
148
+ "value": 1114780.690302358
149
  }
150
  },
151
  "decode": {
152
  "memory": {
153
  "unit": "MB",
154
+ "max_ram": 945.188864,
155
  "max_global_vram": null,
156
  "max_process_vram": null,
157
  "max_reserved": null,
 
159
  },
160
  "latency": {
161
  "unit": "s",
162
+ "count": 14,
163
+ "total": 0.40974110100006556,
164
+ "mean": 0.029267221500004683,
165
+ "stdev": 0.0019924853510575693,
166
+ "p50": 0.028559895500009702,
167
+ "p90": 0.03147580570001196,
168
+ "p95": 0.031805798900010986,
169
+ "p99": 0.032286317380001886,
170
  "values": [
171
+ 0.031460481999999956,
172
+ 0.030927090999995244,
173
+ 0.03144768699999645,
174
+ 0.031058118000004242,
175
+ 0.032406446999999616,
176
+ 0.031482373000017105,
177
+ 0.026856685000012703,
178
+ 0.02789954200000011,
179
+ 0.028339708000004293,
180
+ 0.0276303569999925,
181
+ 0.02878008300001511,
182
+ 0.027664181000005783,
183
+ 0.026879301000008127,
184
+ 0.026909046000014314
185
  ]
186
  },
187
  "throughput": {
188
  "unit": "tokens/s",
189
+ "value": 34.167917169719715
190
  },
191
  "energy": {
192
  "unit": "kWh",
193
+ "cpu": 1.0228716156141002e-06,
194
+ "ram": 4.274881207725351e-08,
195
  "gpu": 0.0,
196
+ "total": 1.0656204276913535e-06
197
  },
198
  "efficiency": {
199
  "unit": "tokens/kWh",
200
+ "value": 938420.4487957134
201
  }
202
  },
203
  "per_token": {
204
  "memory": null,
205
  "latency": {
206
  "unit": "s",
207
+ "count": 13,
208
+ "total": 0.9801761749999969,
209
+ "mean": 0.07539816730769207,
210
+ "stdev": 0.004209267217350242,
211
+ "p50": 0.07353072899999802,
212
+ "p90": 0.0804910333999885,
213
+ "p95": 0.08072025119998898,
214
+ "p99": 0.0809270198399895,
215
  "values": [
216
+ 0.08026339099998836,
217
+ 0.08009171700001616,
218
+ 0.08054794399998855,
219
+ 0.0801051040000118,
220
+ 0.08097871199998963,
221
+ 0.07573630000001685,
222
+ 0.07281929399999854,
223
+ 0.07264711199999851,
224
+ 0.07353072899999802,
225
+ 0.0726410000000044,
226
+ 0.07087467799999558,
227
+ 0.07000869899999884,
228
+ 0.06993149499999163
229
  ]
230
  },
231
  "throughput": {
232
  "unit": "tokens/s",
233
+ "value": 13.262921841576125
234
  },
235
  "energy": null,
236
  "efficiency": null