Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Files
xet
Community
IlyasMoutawwakil HF Staff commited on
Commit
57a5b10
·
verified ·
1 Parent(s): 482aa91

Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json +50 -52
cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json CHANGED
@@ -80,7 +80,7 @@
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
- "optimum_benchmark_commit": "8bf68d01ce920e01ece8935a1cc6d7e3f17c2d2b",
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": 941.99808,
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": 4.243301096999971,
112
- "mean": 4.243301096999971,
113
  "stdev": 0.0,
114
- "p50": 4.243301096999971,
115
- "p90": 4.243301096999971,
116
- "p95": 4.243301096999971,
117
- "p99": 4.243301096999971,
118
  "values": [
119
- 4.243301096999971
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 4.742653237448799e-05,
126
- "ram": 1.9822067545351275e-06,
127
  "gpu": 0,
128
- "total": 4.9408739129023115e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 953.1392,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,57 +140,55 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 26,
144
- "total": 1.026963206000005,
145
- "mean": 0.03949858484615403,
146
- "stdev": 0.0009805407086175247,
147
- "p50": 0.039306039500019097,
148
- "p90": 0.03971452299998646,
149
- "p95": 0.04178418475000001,
150
- "p99": 0.042793993250000995,
151
  "values": [
152
- 0.039669501999981094,
153
- 0.039532820999966134,
154
- 0.03947681699997929,
155
- 0.03956447999996726,
156
- 0.039303344000018114,
157
- 0.03915403700000297,
158
- 0.03930873500002008,
159
- 0.03885878699998102,
160
- 0.039082432999975936,
161
- 0.03920720500002517,
162
- 0.03935729500000207,
163
- 0.039486585000020114,
164
- 0.0393253950000485,
165
- 0.03926513400000431,
166
- 0.03918684799998573,
167
- 0.03922897600000397,
168
- 0.03975954399999182,
169
- 0.03929313500003673,
170
- 0.039510570000004464,
171
- 0.04245906500000274,
172
- 0.03961248999996769,
173
- 0.04290563600000041,
174
- 0.03857626199999231,
175
- 0.038866912999992564,
176
- 0.038362815000027695,
177
- 0.038608382000006713
178
  ]
179
  },
180
  "throughput": {
181
  "unit": "samples/s",
182
- "value": 25.317362733246625
183
  },
184
  "energy": {
185
  "unit": "kWh",
186
- "cpu": 1.5139153370490443e-06,
187
- "ram": 6.327007709951606e-08,
188
  "gpu": 0.0,
189
- "total": 1.5771854141485604e-06
190
  },
191
  "efficiency": {
192
  "unit": "samples/kWh",
193
- "value": 634040.8623039717
194
  }
195
  }
196
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
+ "optimum_benchmark_commit": "5ae03a669d2c4893dc609854294ec3bac19528a3",
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": 940.937216,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.22602513999999,
112
+ "mean": 4.22602513999999,
113
  "stdev": 0.0,
114
+ "p50": 4.22602513999999,
115
+ "p90": 4.22602513999999,
116
+ "p95": 4.22602513999999,
117
+ "p99": 4.22602513999999,
118
  "values": [
119
+ 4.22602513999999
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.719897376166451e-05,
126
+ "ram": 1.972694098830061e-06,
127
  "gpu": 0,
128
+ "total": 4.917166786049457e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 952.85248,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 24,
144
+ "total": 1.0089499570001408,
145
+ "mean": 0.04203958154167253,
146
+ "stdev": 0.002476474457499174,
147
+ "p50": 0.04317279300002497,
148
+ "p90": 0.04450071369998341,
149
+ "p95": 0.04465433774995518,
150
+ "p99": 0.04521824867996997,
151
  "values": [
152
+ 0.043485672999963754,
153
+ 0.04319303600004787,
154
+ 0.04340393000001086,
155
+ 0.044502633999968566,
156
+ 0.04414537600001722,
157
+ 0.044008771999983765,
158
+ 0.04449623300001804,
159
+ 0.04394927999999254,
160
+ 0.04468110899995281,
161
+ 0.0430140419999816,
162
+ 0.04285320000002457,
163
+ 0.043991159000029256,
164
+ 0.043709201000012854,
165
+ 0.043152550000002066,
166
+ 0.0453786929999751,
167
+ 0.040985488000046644,
168
+ 0.03858478699999068,
169
+ 0.03939278800004331,
170
+ 0.03854856899999959,
171
+ 0.03823736800001143,
172
+ 0.038331663999997545,
173
+ 0.03812929600002235,
174
+ 0.03890239200001133,
175
+ 0.03987271700003703
 
 
176
  ]
177
  },
178
  "throughput": {
179
  "unit": "samples/s",
180
+ "value": 23.78710642037983
181
  },
182
  "energy": {
183
  "unit": "kWh",
184
+ "cpu": 1.5049566061068802e-06,
185
+ "ram": 6.289554454921331e-08,
186
  "gpu": 0.0,
187
+ "total": 1.5678521506560936e-06
188
  },
189
  "efficiency": {
190
  "unit": "samples/kWh",
191
+ "value": 637815.2427073774
192
  }
193
  }
194
  }