Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
8da8974
•
1 Parent(s): d4ed594

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

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json +77 -83
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": 16757.354496,
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": "0.2.0",
81
- "optimum_benchmark_commit": "83a87c3d95805880a695f5bd4e2d038143845010",
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": 956.567552,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
@@ -105,52 +105,50 @@
105
  },
106
  "latency": {
107
  "unit": "s",
108
- "count": 15,
109
- "total": 0.6417347019999511,
110
- "mean": 0.042782313466663405,
111
- "stdev": 0.0011155284139069143,
112
- "p50": 0.042451796999955604,
113
- "p90": 0.044056694999983395,
114
- "p95": 0.04515687249999018,
115
- "p99": 0.04591532809999762,
116
  "values": [
117
- 0.0447505569999862,
118
- 0.04249865500003125,
119
- 0.042375143000015214,
120
- 0.0422776809999732,
121
- 0.042649728000014875,
122
- 0.041965898000000834,
123
- 0.042451796999955604,
124
- 0.04301590199997918,
125
- 0.04240109300002359,
126
- 0.04249465799995278,
127
- 0.04253846900002145,
128
- 0.04231732499999907,
129
- 0.04244754000001194,
130
- 0.04610494199999948,
131
- 0.04144531399998641
132
  ]
133
  },
134
  "throughput": {
135
  "unit": "tokens/s",
136
- "value": 46.74829007455216
137
  },
138
  "energy": {
139
  "unit": "kWh",
140
- "cpu": 1.6528461266447e-06,
141
- "ram": 6.907460337128412e-08,
142
  "gpu": 0.0,
143
- "total": 1.7219207300159842e-06
144
  },
145
  "efficiency": {
146
  "unit": "tokens/kWh",
147
- "value": 1161493.6536488729
148
  }
149
  },
150
  "decode": {
151
  "memory": {
152
  "unit": "MB",
153
- "max_ram": 956.567552,
154
  "max_global_vram": null,
155
  "max_process_vram": null,
156
  "max_reserved": null,
@@ -158,80 +156,76 @@
158
  },
159
  "latency": {
160
  "unit": "s",
161
- "count": 15,
162
- "total": 0.40064963499992245,
163
- "mean": 0.026709975666661497,
164
- "stdev": 0.0009105916473624307,
165
- "p50": 0.026479460999951243,
166
- "p90": 0.02805338659999279,
167
- "p95": 0.02874788189998867,
168
- "p99": 0.028904280379987313,
169
  "values": [
170
- 0.026693139999963478,
171
- 0.026061819000005926,
172
- 0.027137320999997883,
173
- 0.026258015999985673,
174
- 0.02603821500002823,
175
- 0.028943379999986973,
176
- 0.02654470200002379,
177
- 0.026289114000007885,
178
- 0.026570630999970035,
179
- 0.02633145400000103,
180
- 0.026884568000014042,
181
- 0.026479460999951243,
182
- 0.026393338999980642,
183
- 0.028664096999989397,
184
- 0.025360378000016226
185
  ]
186
  },
187
  "throughput": {
188
  "unit": "tokens/s",
189
- "value": 37.439195470633344
190
  },
191
  "energy": {
192
  "unit": "kWh",
193
- "cpu": 9.802532527181844e-07,
194
- "ram": 4.09678692157698e-08,
195
  "gpu": 0.0,
196
- "total": 1.021221121933954e-06
197
  },
198
  "efficiency": {
199
  "unit": "tokens/kWh",
200
- "value": 979219.8560349338
201
  }
202
  },
203
  "per_token": {
204
  "memory": null,
205
  "latency": {
206
  "unit": "s",
207
- "count": 14,
208
- "total": 0.9712254330000292,
209
- "mean": 0.0693732452142878,
210
- "stdev": 0.0017209723791874476,
211
- "p50": 0.06892018199999939,
212
- "p90": 0.07050731610002003,
213
- "p95": 0.07230408430001489,
214
- "p99": 0.07432714325997267,
215
  "values": [
216
- 0.06860030900003267,
217
- 0.06949209699996572,
218
- 0.06857677400000739,
219
- 0.06871372099999462,
220
- 0.07094241000004331,
221
- 0.06900143799998659,
222
- 0.06931288199996288,
223
- 0.0689590900000212,
224
- 0.06888127399997757,
225
- 0.06940636600000971,
226
- 0.06884702000002108,
227
- 0.06880784700001641,
228
- 0.07483290799996212,
229
- 0.0668512970000279
230
  ]
231
  },
232
  "throughput": {
233
  "unit": "tokens/s",
234
- "value": 14.414779024840033
235
  },
236
  "energy": null,
237
  "efficiency": null
 
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": "0.2.0",
81
+ "optimum_benchmark_commit": "93f16ddd3ee4bf4a82d1c5d47e103207299d4a25",
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": 955.61728,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
 
105
  },
106
  "latency": {
107
  "unit": "s",
108
+ "count": 13,
109
+ "total": 0.6278269489999388,
110
+ "mean": 0.04829438069230299,
111
+ "stdev": 0.0008603489852715406,
112
+ "p50": 0.04815443199998981,
113
+ "p90": 0.049462257399989086,
114
+ "p95": 0.04975024719998942,
115
+ "p99": 0.04989901743999667,
116
  "values": [
117
+ 0.048497101999998904,
118
+ 0.04993620999999848,
119
+ 0.048109356999987085,
120
+ 0.04880619900001193,
121
+ 0.04815443199998981,
122
+ 0.0470793629999946,
123
+ 0.048038133999995125,
124
+ 0.04962627199998337,
125
+ 0.04762457100000006,
126
+ 0.04877326799999082,
127
+ 0.04850096900000267,
128
+ 0.046743055000007416,
129
+ 0.04793801699997857
 
 
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "tokens/s",
134
+ "value": 41.41268552013452
135
  },
136
  "energy": {
137
  "unit": "kWh",
138
+ "cpu": 1.6732901334762574e-06,
139
+ "ram": 6.992635130230617e-08,
140
  "gpu": 0.0,
141
+ "total": 1.7432164847785636e-06
142
  },
143
  "efficiency": {
144
  "unit": "tokens/kWh",
145
+ "value": 1147304.4326184506
146
  }
147
  },
148
  "decode": {
149
  "memory": {
150
  "unit": "MB",
151
+ "max_ram": 955.61728,
152
  "max_global_vram": null,
153
  "max_process_vram": null,
154
  "max_reserved": null,
 
156
  },
157
  "latency": {
158
  "unit": "s",
159
+ "count": 13,
160
+ "total": 0.39210055000009447,
161
+ "mean": 0.030161580769238035,
162
+ "stdev": 0.0004024381716264546,
163
+ "p50": 0.03024565500001586,
164
+ "p90": 0.030713675400016884,
165
+ "p95": 0.030744500800017248,
166
+ "p99": 0.030755517760014756,
167
  "values": [
168
+ 0.03075827200001413,
169
+ 0.030627097000007097,
170
+ 0.03073532000001933,
171
+ 0.03012799499998664,
172
+ 0.029650433000000476,
173
+ 0.030304475000008324,
174
+ 0.02979204700000082,
175
+ 0.03024565500001586,
176
+ 0.029866916999992554,
177
+ 0.030349568000019644,
178
+ 0.030401355999998714,
179
+ 0.02969920399999637,
180
+ 0.029542211000034513
 
 
181
  ]
182
  },
183
  "throughput": {
184
  "unit": "tokens/s",
185
+ "value": 33.15476094077621
186
  },
187
  "energy": {
188
  "unit": "kWh",
189
+ "cpu": 9.92700766634058e-07,
190
+ "ram": 4.149310394308732e-08,
191
  "gpu": 0.0,
192
+ "total": 1.034193870577146e-06
193
  },
194
  "efficiency": {
195
  "unit": "tokens/kWh",
196
+ "value": 966936.6919008486
197
  }
198
  },
199
  "per_token": {
200
  "memory": null,
201
  "latency": {
202
  "unit": "s",
203
+ "count": 12,
204
+ "total": 0.9408672080000144,
205
+ "mean": 0.07840560066666787,
206
+ "stdev": 0.001158205158507909,
207
+ "p50": 0.07834177750000038,
208
+ "p90": 0.07989987149999536,
209
+ "p95": 0.08027617835000314,
210
+ "p99": 0.08056225007001075,
211
  "values": [
212
+ 0.08063376800001265,
213
+ 0.07881117499999846,
214
+ 0.07897489999999152,
215
+ 0.0778723800000023,
216
+ 0.07739306499999543,
217
+ 0.07779285200001596,
218
+ 0.07998360499999535,
219
+ 0.07745219500000644,
220
+ 0.07914626999999541,
221
+ 0.07891870500000664,
222
+ 0.07645614499998032,
223
+ 0.07743214800001397
 
 
224
  ]
225
  },
226
  "throughput": {
227
  "unit": "tokens/s",
228
+ "value": 12.754190918725076
229
  },
230
  "energy": null,
231
  "efficiency": null