IlyasMoutawwakil HF staff commited on
Commit
d07a17f
·
verified ·
1 Parent(s): c4ffbe0

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
@@ -78,7 +78,7 @@
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
  "optimum_benchmark_version": "0.2.0",
81
- "optimum_benchmark_commit": "420ddf2d65dc94a93273eacd14ac0bd4f4b6cef7",
82
  "transformers_version": "4.40.2",
83
  "transformers_commit": null,
84
  "accelerate_version": "0.30.1",
@@ -97,7 +97,7 @@
97
  "forward": {
98
  "memory": {
99
  "unit": "MB",
100
- "max_ram": 940.179456,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
@@ -106,52 +106,52 @@
106
  "latency": {
107
  "unit": "s",
108
  "count": 22,
109
- "total": 1.0144819989999405,
110
- "mean": 0.04611281813636093,
111
- "stdev": 0.0009586352569444216,
112
- "p50": 0.046275483500011205,
113
- "p90": 0.04722508529995366,
114
- "p95": 0.04726024794998977,
115
- "p99": 0.0474727137000076,
116
  "values": [
117
- 0.04752883200001179,
118
- 0.047140163999984,
119
- 0.04723452099995029,
120
- 0.04518484900000885,
121
- 0.04692831799997066,
122
- 0.0465722419999679,
123
- 0.046208533000026364,
124
- 0.046641242000021066,
125
- 0.04411871500002462,
126
- 0.046780882000007296,
127
- 0.04584449099996846,
128
- 0.04607879000002413,
129
- 0.045994862999975794,
130
- 0.047261601999991854,
131
- 0.04485949000002165,
132
- 0.04645286900000656,
133
- 0.04634243399999605,
134
- 0.046780882000007296,
135
- 0.044980866999992486,
136
- 0.04597142899996243,
137
- 0.04551136899999619,
138
- 0.04406461500002479
139
  ]
140
  },
141
  "throughput": {
142
  "unit": "samples/s",
143
- "value": 21.68594417809999
144
  },
145
  "energy": {
146
  "unit": "kWh",
147
- "cpu": 1.524784065719344e-06,
148
- "ram": 6.372336724624006e-08,
149
  "gpu": 0.0,
150
- "total": 1.5885074329655839e-06
151
  },
152
  "efficiency": {
153
  "unit": "samples/kWh",
154
- "value": 629521.7631642431
155
  }
156
  }
157
  }
 
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
  "optimum_benchmark_version": "0.2.0",
81
+ "optimum_benchmark_commit": "553a573935b71390502b7c324bca2f06f9fbc412",
82
  "transformers_version": "4.40.2",
83
  "transformers_commit": null,
84
  "accelerate_version": "0.30.1",
 
97
  "forward": {
98
  "memory": {
99
  "unit": "MB",
100
+ "max_ram": 939.556864,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
 
106
  "latency": {
107
  "unit": "s",
108
  "count": 22,
109
+ "total": 1.0249631129998988,
110
+ "mean": 0.04658923240908631,
111
+ "stdev": 0.0008917608659416751,
112
+ "p50": 0.046769387499978166,
113
+ "p90": 0.04753835390000063,
114
+ "p95": 0.047734404350026696,
115
+ "p99": 0.04800406678000797,
116
  "values": [
117
+ 0.047383825999986584,
118
+ 0.04615346700001055,
119
+ 0.047037703000000874,
120
+ 0.04471827499997971,
121
+ 0.04748452400002634,
122
+ 0.046715341999970406,
123
+ 0.04692020400000274,
124
+ 0.04754433499999777,
125
+ 0.04448121499996205,
126
+ 0.046823432999985926,
127
+ 0.048073090000002594,
128
+ 0.04657673500003057,
129
+ 0.046860031999983676,
130
+ 0.04571143499998698,
131
+ 0.047744408000028216,
132
+ 0.046493560000044454,
133
+ 0.046953486000006706,
134
+ 0.04650542199999563,
135
+ 0.04701210499996478,
136
+ 0.045343658999968284,
137
+ 0.046428688999981205,
138
+ 0.0459981679999828
139
  ]
140
  },
141
  "throughput": {
142
  "unit": "samples/s",
143
+ "value": 21.46418707265436
144
  },
145
  "energy": {
146
  "unit": "kWh",
147
+ "cpu": 1.5635456509060332e-06,
148
+ "ram": 6.534276405778882e-08,
149
  "gpu": 0.0,
150
+ "total": 1.6288884149638217e-06
151
  },
152
  "efficiency": {
153
  "unit": "samples/kWh",
154
+ "value": 613915.5947169103
155
  }
156
  }
157
  }