IlyasMoutawwakil HF staff commited on
Commit
1b27b5f
·
verified ·
1 Parent(s): 0bb9d51

Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub

Browse files
cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json CHANGED
@@ -80,7 +80,7 @@
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
- "optimum_benchmark_commit": "9a20da1f489402dd778fe1d26b97f74daf179458",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 947.449856,
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": 4.400132555000027,
112
- "mean": 4.400132555000027,
113
  "stdev": 0.0,
114
- "p50": 4.400132555000027,
115
- "p90": 4.400132555000027,
116
- "p95": 4.400132555000027,
117
- "p99": 4.400132555000027,
118
  "values": [
119
- 4.400132555000027
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 4.892844098333361e-05,
126
- "ram": 2.0449767412116665e-06,
127
  "gpu": 0,
128
- "total": 5.097341772454528e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 955.707392,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,62 +140,63 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 31,
144
- "total": 1.008698789999812,
145
- "mean": 0.03253867064515523,
146
- "stdev": 0.0013169071626984745,
147
- "p50": 0.03223045100003219,
148
- "p90": 0.03411442600003056,
149
- "p95": 0.034448195499976464,
150
- "p99": 0.03494352449999951,
151
  "values": [
152
- 0.03238734499996099,
153
- 0.031527385999993385,
154
- 0.030914509000012913,
155
- 0.03088336100000788,
156
- 0.03130662299997766,
157
- 0.03082323799998221,
158
- 0.03099802499997395,
159
- 0.03178015899999309,
160
- 0.03107175399998141,
161
- 0.031581406999976025,
162
- 0.031014476999985163,
163
- 0.03170089999997572,
164
- 0.03253609400002233,
165
- 0.03393330800003014,
166
- 0.03374378399996658,
167
- 0.0346201419999943,
168
- 0.03401268599998275,
169
- 0.03411442600003056,
170
- 0.03394846599996981,
171
- 0.03410548900001231,
172
- 0.03378962799996543,
173
- 0.035082117000001745,
174
- 0.03223045100003219,
175
- 0.032065161999980774,
176
- 0.03230389899999864,
177
- 0.031024816000012834,
178
- 0.03297036600002912,
179
- 0.03208871599997565,
180
- 0.03406985300000542,
181
- 0.034276248999958625,
182
- 0.031793954000022495
 
183
  ]
184
  },
185
  "throughput": {
186
  "unit": "samples/s",
187
- "value": 30.732663018269086
188
  },
189
  "energy": {
190
  "unit": "kWh",
191
- "cpu": 1.2137917944444528e-06,
192
- "ram": 5.0726665753114216e-08,
193
  "gpu": 0.0,
194
- "total": 1.264518460197567e-06
195
  },
196
  "efficiency": {
197
  "unit": "samples/kWh",
198
- "value": 790814.8686447496
199
  }
200
  }
201
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "f8984237ed319b3e2359229f9a715248aa496ad5",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 947.736576,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.273493459999997,
112
+ "mean": 4.273493459999997,
113
  "stdev": 0.0,
114
+ "p50": 4.273493459999997,
115
+ "p90": 4.273493459999997,
116
+ "p95": 4.273493459999997,
117
+ "p99": 4.273493459999997,
118
  "values": [
119
+ 4.273493459999997
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.761671646666723e-05,
126
+ "ram": 1.990147738727704e-06,
127
  "gpu": 0,
128
+ "total": 4.9606864205394935e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 956.125184,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 32,
144
+ "total": 1.0222644590000982,
145
+ "mean": 0.03194576434375307,
146
+ "stdev": 0.0016096767413638388,
147
+ "p50": 0.031045212500004027,
148
+ "p90": 0.03497652700000344,
149
+ "p95": 0.035121834900013485,
150
+ "p99": 0.03563942564999593,
151
  "values": [
152
+ 0.0358185079999771,
153
+ 0.035240823000037835,
154
+ 0.03414696799995909,
155
+ 0.03353975900000705,
156
+ 0.034979206000002705,
157
+ 0.030992910000009033,
158
+ 0.030772609999985434,
159
+ 0.03273770600003445,
160
+ 0.030828294000002643,
161
+ 0.03502448099999356,
162
+ 0.030745569000032447,
163
+ 0.03074374599998464,
164
+ 0.030965539000021636,
165
+ 0.03106380200000558,
166
+ 0.031026623000002473,
167
+ 0.031026130999975976,
168
+ 0.03133234099999527,
169
+ 0.030721485000015036,
170
+ 0.030827742999974816,
171
+ 0.030986778999988474,
172
+ 0.03089984700000059,
173
+ 0.03147070900001836,
174
+ 0.03186803900001678,
175
+ 0.03100344000000632,
176
+ 0.03206824000000097,
177
+ 0.03136827900004846,
178
+ 0.030859330999987833,
179
+ 0.031399145999955635,
180
+ 0.031020261000037408,
181
+ 0.03495241600001009,
182
+ 0.03137372899999491,
183
+ 0.030459999000015614
184
  ]
185
  },
186
  "throughput": {
187
  "unit": "samples/s",
188
+ "value": 31.303054428107558
189
  },
190
  "energy": {
191
  "unit": "kWh",
192
+ "cpu": 1.1853230749157665e-06,
193
+ "ram": 4.953618734135145e-08,
194
  "gpu": 0.0,
195
+ "total": 1.234859262257118e-06
196
  },
197
  "efficiency": {
198
  "unit": "samples/kWh",
199
+ "value": 809808.8831371486
200
  }
201
  }
202
  }