IlyasMoutawwakil HF staff commited on
Commit
f3a94b5
1 Parent(s): 9aea054

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
@@ -71,14 +71,14 @@
71
  "environment": {
72
  "cpu": " AMD EPYC 7763 64-Core Processor",
73
  "cpu_count": 4,
74
- "cpu_ram_mb": 16757.3504,
75
  "system": "Linux",
76
  "machine": "x86_64",
77
  "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
  "optimum_benchmark_version": "0.2.1",
81
- "optimum_benchmark_commit": "1ba65d84c92c93ea19ab2d2293c92bced987bae2",
82
  "transformers_version": "4.40.2",
83
  "transformers_commit": null,
84
  "accelerate_version": "0.30.1",
@@ -97,7 +97,7 @@
97
  "prefill": {
98
  "memory": {
99
  "unit": "MB",
100
- "max_ram": 955.920384,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
@@ -105,50 +105,51 @@
105
  },
106
  "latency": {
107
  "unit": "s",
108
- "count": 13,
109
- "total": 0.6252996339999868,
110
- "mean": 0.04809997184615283,
111
- "stdev": 0.0027160685920652595,
112
- "p50": 0.04880595700001322,
113
- "p90": 0.050437242199996034,
114
- "p95": 0.051055869599986176,
115
- "p99": 0.051753131519972156,
116
  "values": [
117
- 0.04907889400004706,
118
- 0.05047481799999787,
119
- 0.05192744699996865,
120
- 0.048919436999995014,
121
- 0.04862169399996219,
122
- 0.050286938999988706,
123
- 0.04951671700001725,
124
- 0.048537347000035425,
125
- 0.04880595700001322,
126
- 0.04817735899996478,
127
- 0.04577221599998893,
128
- 0.04237234400000034,
129
- 0.042808465000007345
 
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "tokens/s",
134
- "value": 41.58006591764701
135
  },
136
  "energy": {
137
  "unit": "kWh",
138
- "cpu": 1.6686885997101114e-06,
139
- "ram": 6.97371097092435e-08,
140
  "gpu": 0.0,
141
- "total": 1.738425709419355e-06
142
  },
143
  "efficiency": {
144
  "unit": "tokens/kWh",
145
- "value": 1150466.188554018
146
  }
147
  },
148
  "decode": {
149
  "memory": {
150
  "unit": "MB",
151
- "max_ram": 956.051456,
152
  "max_global_vram": null,
153
  "max_process_vram": null,
154
  "max_reserved": null,
@@ -156,76 +157,78 @@
156
  },
157
  "latency": {
158
  "unit": "s",
159
- "count": 13,
160
- "total": 0.3867308330000583,
161
- "mean": 0.0297485256153891,
162
- "stdev": 0.0018391550381465776,
163
- "p50": 0.030680057000040506,
164
- "p90": 0.030932181000036963,
165
- "p95": 0.03132587080003759,
166
- "p99": 0.03178866376003498,
167
  "values": [
168
- 0.03071368899998106,
169
- 0.031904362000034325,
170
- 0.03094021000003977,
171
- 0.029902933000016674,
172
- 0.030900065000025734,
173
- 0.030680057000040506,
174
- 0.030879346999995505,
175
- 0.03086412899995139,
176
- 0.030143679999980577,
177
- 0.029886853999983032,
178
- 0.02628012600001739,
179
- 0.025624485999969693,
180
- 0.02801089500002263
 
181
  ]
182
  },
183
  "throughput": {
184
  "unit": "tokens/s",
185
- "value": 33.61511131438036
186
  },
187
  "energy": {
188
  "unit": "kWh",
189
- "cpu": 1.0910912244408226e-06,
190
- "ram": 4.55980283176653e-08,
191
  "gpu": 0.0,
192
- "total": 1.1366892527584873e-06
193
  },
194
  "efficiency": {
195
  "unit": "tokens/kWh",
196
- "value": 879747.9148969047
197
  }
198
  },
199
  "per_token": {
200
  "memory": null,
201
  "latency": {
202
  "unit": "s",
203
- "count": 12,
204
- "total": 0.932674392000024,
205
- "mean": 0.077722866000002,
206
- "stdev": 0.004538825700259946,
207
- "p50": 0.07918224900001292,
208
- "p90": 0.08226358920001076,
209
- "p95": 0.08262397670001746,
210
- "p99": 0.08283854094002209,
211
  "values": [
212
- 0.08240453600001274,
213
- 0.08289218200002324,
214
- 0.07886698300001171,
215
- 0.07952760099999523,
216
- 0.0809950679999929,
217
- 0.08042620999998462,
218
- 0.07941543200001888,
219
- 0.07894906600000695,
220
- 0.07807533199996897,
221
- 0.07229349099998217,
222
- 0.0680083800000375,
223
- 0.07082011099998908
 
224
  ]
225
  },
226
  "throughput": {
227
  "unit": "tokens/s",
228
- "value": 12.866226523349953
229
  },
230
  "energy": null,
231
  "efficiency": null
 
71
  "environment": {
72
  "cpu": " AMD EPYC 7763 64-Core Processor",
73
  "cpu_count": 4,
74
+ "cpu_ram_mb": 16757.354496,
75
  "system": "Linux",
76
  "machine": "x86_64",
77
  "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
  "optimum_benchmark_version": "0.2.1",
81
+ "optimum_benchmark_commit": "eee61510ab9c7b38bd9807712fa942e2f5ba255c",
82
  "transformers_version": "4.40.2",
83
  "transformers_commit": null,
84
  "accelerate_version": "0.30.1",
 
97
  "prefill": {
98
  "memory": {
99
  "unit": "MB",
100
+ "max_ram": 946.23744,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
 
105
  },
106
  "latency": {
107
  "unit": "s",
108
+ "count": 14,
109
+ "total": 0.6247380229999635,
110
+ "mean": 0.044624144499997395,
111
+ "stdev": 0.0016402672051428968,
112
+ "p50": 0.044231582000008984,
113
+ "p90": 0.04473934469998255,
114
+ "p95": 0.04679859764998895,
115
+ "p99": 0.04970904752999985,
116
  "values": [
117
+ 0.050436660000002576,
118
+ 0.04414278500001956,
119
+ 0.04450531999998475,
120
+ 0.04446495199999845,
121
+ 0.04399746100000357,
122
+ 0.04426325200000747,
123
+ 0.04483964099998161,
124
+ 0.0441999120000105,
125
+ 0.04391604599999255,
126
+ 0.043811779999998635,
127
+ 0.0443330939999953,
128
+ 0.04395183399998359,
129
+ 0.04360586100000319,
130
+ 0.044269424999981766
131
  ]
132
  },
133
  "throughput": {
134
  "unit": "tokens/s",
135
+ "value": 44.818786385924255
136
  },
137
  "energy": {
138
  "unit": "kWh",
139
+ "cpu": 1.71949016875115e-06,
140
+ "ram": 7.18599193592942e-08,
141
  "gpu": 0.0,
142
+ "total": 1.7913500881104441e-06
143
  },
144
  "efficiency": {
145
  "unit": "tokens/kWh",
146
+ "value": 1116476.345564392
147
  }
148
  },
149
  "decode": {
150
  "memory": {
151
  "unit": "MB",
152
+ "max_ram": 946.23744,
153
  "max_global_vram": null,
154
  "max_process_vram": null,
155
  "max_reserved": null,
 
157
  },
158
  "latency": {
159
  "unit": "s",
160
+ "count": 14,
161
+ "total": 0.38339510600005156,
162
+ "mean": 0.027385364714289397,
163
+ "stdev": 0.0008429822368610816,
164
+ "p50": 0.027193816000007587,
165
+ "p90": 0.02856532549999713,
166
+ "p95": 0.029108513399997094,
167
+ "p99": 0.02933801227999453,
168
  "values": [
169
+ 0.02895404299999882,
170
+ 0.026951100999980326,
171
+ 0.027552197000005663,
172
+ 0.027658317999993187,
173
+ 0.027315552000004573,
174
+ 0.02760267200000044,
175
+ 0.027024159000006875,
176
+ 0.0270720800000106,
177
+ 0.027009413000001814,
178
+ 0.027418234000009534,
179
+ 0.02683309900001518,
180
+ 0.02651868500001342,
181
+ 0.02939538699999389,
182
+ 0.026090166000017234
183
  ]
184
  },
185
  "throughput": {
186
  "unit": "tokens/s",
187
+ "value": 36.51585474332611
188
  },
189
  "energy": {
190
  "unit": "kWh",
191
+ "cpu": 1.0065921032486324e-06,
192
+ "ram": 4.2065653425551774e-08,
193
  "gpu": 0.0,
194
+ "total": 1.048657756674185e-06
195
  },
196
  "efficiency": {
197
  "unit": "tokens/kWh",
198
+ "value": 953599.9649413715
199
  }
200
  },
201
  "per_token": {
202
  "memory": null,
203
  "latency": {
204
  "unit": "s",
205
+ "count": 13,
206
+ "total": 0.9289998639999908,
207
+ "mean": 0.07146152799999929,
208
+ "stdev": 0.0006324581272485751,
209
+ "p50": 0.07132981199998767,
210
+ "p90": 0.07212279980000176,
211
+ "p95": 0.07241363499999239,
212
+ "p99": 0.07274163339998609,
213
  "values": [
214
+ 0.07113019599998438,
215
+ 0.07205278700001827,
216
+ 0.07214030299999763,
217
+ 0.07134183599998778,
218
+ 0.07182213300001195,
219
+ 0.07189762400000177,
220
+ 0.07132981199998767,
221
+ 0.0709568180000133,
222
+ 0.07120635799998354,
223
+ 0.07121162999999342,
224
+ 0.07049653800001465,
225
+ 0.07282363299998451,
226
+ 0.07059019600001193
227
  ]
228
  },
229
  "throughput": {
230
  "unit": "tokens/s",
231
+ "value": 13.993543490981748
232
  },
233
  "energy": null,
234
  "efficiency": null