IlyasMoutawwakil HF staff commited on
Commit
b0ce6b3
·
verified ·
1 Parent(s): 34f3fc8

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

Browse files
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": "0.4.0",
83
- "optimum_benchmark_commit": "a24cd34532cdb9c93a3944992e210e603d844e1c",
84
  "transformers_version": "4.44.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 943.32928,
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": 4.268584419999968,
112
- "mean": 4.268584419999968,
113
  "stdev": 0.0,
114
- "p50": 4.268584419999968,
115
- "p90": 4.268584419999968,
116
- "p95": 4.268584419999968,
117
- "p99": 4.268584419999968,
118
  "values": [
119
- 4.268584419999968
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 4.846056257777794e-05,
126
- "ram": 2.0254242268834563e-06,
127
  "gpu": 0,
128
- "total": 5.04859868046614e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 954.208256,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,54 +140,56 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 23,
144
- "total": 1.0146075920000612,
145
- "mean": 0.044113373565220056,
146
- "stdev": 0.0015217590893052328,
147
- "p50": 0.044732799999962936,
148
- "p90": 0.04544397200003232,
149
- "p95": 0.04576572260003218,
150
- "p99": 0.045853538459981566,
151
  "values": [
152
- 0.04497412199998507,
153
- 0.04402148899998792,
154
- 0.04279391099998975,
155
- 0.04580025900003193,
156
- 0.04500898700001699,
157
- 0.045161712999970405,
158
- 0.04388663700001416,
159
- 0.042861557000037465,
160
- 0.04586856599996736,
161
- 0.045246653000049264,
162
- 0.04480087799998955,
163
- 0.044713664999960656,
164
- 0.0447527879999825,
165
- 0.044734293000033176,
166
- 0.04540028000002394,
167
- 0.04545489500003441,
168
- 0.0436811319999606,
169
- 0.044732799999962936,
170
- 0.04336714400000119,
171
- 0.04354344400002219,
172
- 0.04265432900001542,
173
- 0.04235216400002173,
174
- 0.03879588600000261
 
 
175
  ]
176
  },
177
  "throughput": {
178
  "unit": "samples/s",
179
- "value": 22.668862505415404
180
  },
181
  "energy": {
182
  "unit": "kWh",
183
- "cpu": 1.5415816365384648e-06,
184
- "ram": 6.442632009818517e-08,
185
  "gpu": 0.0,
186
- "total": 1.6060079566366499e-06
187
  },
188
  "efficiency": {
189
  "unit": "samples/kWh",
190
- "value": 622661.9213607323
191
  }
192
  }
193
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "f9307afbd9cb2c4149a7bcc9162c81eec5fa5006",
84
  "transformers_version": "4.44.0",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 945.451008,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.362517833000027,
112
+ "mean": 4.362517833000027,
113
  "stdev": 0.0,
114
+ "p50": 4.362517833000027,
115
+ "p90": 4.362517833000027,
116
+ "p95": 4.362517833000027,
117
+ "p99": 4.362517833000027,
118
  "values": [
119
+ 4.362517833000027
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.791380463333263e-05,
126
+ "ram": 2.00256299988763e-06,
127
  "gpu": 0,
128
+ "total": 4.991636763322026e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 956.280832,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 25,
144
+ "total": 1.0131291059999512,
145
+ "mean": 0.04052516423999805,
146
+ "stdev": 0.0007197531496346943,
147
+ "p50": 0.04050103899999158,
148
+ "p90": 0.04100948459996516,
149
+ "p95": 0.04143893860001526,
150
+ "p99": 0.04295923356000457,
151
  "values": [
152
+ 0.0404349049999837,
153
+ 0.04003147100002025,
154
+ 0.040549710000050254,
155
+ 0.04061089399999673,
156
+ 0.04002865600000405,
157
+ 0.04050103899999158,
158
+ 0.04065965500001312,
159
+ 0.039908841999988454,
160
+ 0.04004906400001573,
161
+ 0.03985074299998814,
162
+ 0.040916183999968325,
163
+ 0.040588981999974294,
164
+ 0.040072908000013285,
165
+ 0.04341033299999708,
166
+ 0.04005744900001673,
167
+ 0.04058637800000042,
168
+ 0.041071684999963054,
169
+ 0.04065339300001369,
170
+ 0.041530752000028315,
171
+ 0.04067009400000643,
172
+ 0.04014806899999712,
173
+ 0.040787834999946426,
174
+ 0.04022024300002158,
175
+ 0.03996759199998223,
176
+ 0.039822229999970205
177
  ]
178
  },
179
  "throughput": {
180
  "unit": "samples/s",
181
+ "value": 24.67602584107499
182
  },
183
  "energy": {
184
  "unit": "kWh",
185
+ "cpu": 1.5751498497777574e-06,
186
+ "ram": 6.582889054861617e-08,
187
  "gpu": 0.0,
188
+ "total": 1.6409787403263734e-06
189
  },
190
  "efficiency": {
191
  "unit": "samples/kWh",
192
+ "value": 609392.4165045006
193
  }
194
  }
195
  }