IlyasMoutawwakil HF staff commited on
Commit
a68e485
1 Parent(s): 76e090c

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
@@ -73,14 +73,14 @@
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
- "cpu_ram_mb": 16757.338112,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
- "optimum_benchmark_commit": "2c28e6003745fe7e05d2d15f59cde0588e3c32a2",
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": 942.22336,
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": 4.302761083000007,
112
- "mean": 4.302761083000007,
113
  "stdev": 0.0,
114
- "p50": 4.302761083000007,
115
- "p90": 4.302761083000007,
116
- "p95": 4.302761083000007,
117
- "p99": 4.302761083000007,
118
  "values": [
119
- 4.302761083000007
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 4.72415222062005e-05,
126
- "ram": 1.9744656840870787e-06,
127
  "gpu": 0,
128
- "total": 4.921598789028758e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 954.0608,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -141,52 +141,52 @@
141
  "latency": {
142
  "unit": "s",
143
  "count": 22,
144
- "total": 1.0017187410001043,
145
- "mean": 0.045532670045459286,
146
- "stdev": 0.001695072216828988,
147
- "p50": 0.045915829500017935,
148
- "p90": 0.04704228730001887,
149
- "p95": 0.047115683750018886,
150
- "p99": 0.04725165594000714,
151
  "values": [
152
- 0.04564455799999223,
153
- 0.046953243999951155,
154
- 0.04446497599997201,
155
- 0.04606710400003067,
156
- 0.04630233699998598,
157
- 0.04549940399999741,
158
- 0.04585977400000729,
159
- 0.044870911000032265,
160
- 0.04728691200000412,
161
- 0.0458507069999996,
162
- 0.04605407000002515,
163
- 0.04537457000003542,
164
- 0.047119026000018494,
165
- 0.04615511999998034,
166
- 0.047052181000026394,
167
- 0.04578343999997969,
168
- 0.0462246310000296,
169
- 0.04489589799999294,
170
- 0.04639907000000676,
171
- 0.04597188500002858,
172
- 0.04266711700000769,
173
- 0.03922180600000047
174
  ]
175
  },
176
  "throughput": {
177
  "unit": "samples/s",
178
- "value": 21.962252576042907
179
  },
180
  "energy": {
181
  "unit": "kWh",
182
- "cpu": 1.5658906830681697e-06,
183
- "ram": 6.543714841988048e-08,
184
  "gpu": 0.0,
185
- "total": 1.6313278314880502e-06
186
  },
187
  "efficiency": {
188
  "unit": "samples/kWh",
189
- "value": 612997.5720991831
190
  }
191
  }
192
  }
 
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
+ "cpu_ram_mb": 16757.342208,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.3.1",
83
+ "optimum_benchmark_commit": "92716b19cf9a85489ef44066dcea60e154b460dc",
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": 941.891584,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.302886564000005,
112
+ "mean": 4.302886564000005,
113
  "stdev": 0.0,
114
+ "p50": 4.302886564000005,
115
+ "p90": 4.302886564000005,
116
+ "p95": 4.302886564000005,
117
+ "p99": 4.302886564000005,
118
  "values": [
119
+ 4.302886564000005
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.798881345325047e-05,
126
+ "ram": 2.0056963436786645e-06,
127
  "gpu": 0,
128
+ "total": 4.9994509796929134e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 953.032704,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
141
  "latency": {
142
  "unit": "s",
143
  "count": 22,
144
+ "total": 1.0094211319998863,
145
+ "mean": 0.04588277872726756,
146
+ "stdev": 0.001940842802795586,
147
+ "p50": 0.04639170350000654,
148
+ "p90": 0.04758972319995678,
149
+ "p95": 0.04765777304995424,
150
+ "p99": 0.04780762278002555,
151
  "values": [
152
+ 0.04628777400000672,
153
+ 0.04681196600000703,
154
+ 0.04555106399999431,
155
+ 0.046767952999971385,
156
+ 0.04646302199995489,
157
+ 0.04645795200002567,
158
+ 0.04575733100000434,
159
+ 0.045125077000022884,
160
+ 0.047658800999954565,
161
+ 0.04636783400002287,
162
+ 0.046096986999998535,
163
+ 0.04541286599999239,
164
+ 0.04763824199994815,
165
+ 0.04614463599995133,
166
+ 0.047847183000044424,
167
+ 0.04663550499998337,
168
+ 0.045402877000014996,
169
+ 0.04641557299999022,
170
+ 0.047153054000034444,
171
+ 0.04695524799996065,
172
+ 0.041068827000003694,
173
+ 0.039401359999999386
174
  ]
175
  },
176
  "throughput": {
177
  "unit": "samples/s",
178
+ "value": 21.794669541356974
179
  },
180
  "energy": {
181
  "unit": "kWh",
182
+ "cpu": 1.5538031219417213e-06,
183
+ "ram": 6.493736113165701e-08,
184
  "gpu": 0.0,
185
+ "total": 1.6187404830733783e-06
186
  },
187
  "efficiency": {
188
  "unit": "samples/kWh",
189
+ "value": 617764.2497093646
190
  }
191
  }
192
  }