IlyasMoutawwakil HF staff commited on
Commit
9aceb45
1 Parent(s): 8b90baa

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
@@ -81,7 +81,7 @@
81
  "processor": "x86_64",
82
  "python_version": "3.10.14",
83
  "optimum_benchmark_version": "0.3.1",
84
- "optimum_benchmark_commit": "2a33a472f309c43b5bd16946ef9cec843d02f70a",
85
  "transformers_version": "4.42.4",
86
  "transformers_commit": null,
87
  "accelerate_version": "0.32.1",
@@ -100,7 +100,7 @@
100
  "forward": {
101
  "memory": {
102
  "unit": "MB",
103
- "max_ram": 945.242112,
104
  "max_global_vram": null,
105
  "max_process_vram": null,
106
  "max_reserved": null,
@@ -108,53 +108,52 @@
108
  },
109
  "latency": {
110
  "unit": "s",
111
- "count": 22,
112
- "total": 1.0186817999999676,
113
- "mean": 0.04630371818181671,
114
- "stdev": 0.001301385918725245,
115
- "p50": 0.04626180500000032,
116
- "p90": 0.04760617880001803,
117
- "p95": 0.04789228735000535,
118
- "p99": 0.04801512183000654,
119
  "values": [
120
- 0.04763096800002131,
121
- 0.046475633000000016,
122
- 0.04686485999999945,
123
- 0.045511796999988974,
124
- 0.04738307599998848,
125
- 0.04613237399999548,
126
- 0.046597160999994,
127
- 0.04716843599999265,
128
- 0.04458217399999853,
129
- 0.048044118000007074,
130
- 0.04613028999997937,
131
- 0.04621324500001833,
132
- 0.046204238000001396,
133
- 0.04790604100000451,
134
- 0.04619291700001327,
135
- 0.04735353099999884,
136
- 0.04614026799998783,
137
- 0.0453522489999898,
138
- 0.04631036499998231,
139
- 0.046942184000016596,
140
- 0.04584969600000477,
141
- 0.04169617899998457
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
- "value": 21.5965378001263
147
  },
148
  "energy": {
149
  "unit": "kWh",
150
- "cpu": 1.5399246134309688e-06,
151
- "ram": 6.435648088348409e-08,
152
  "gpu": 0.0,
153
- "total": 1.604281094314453e-06
154
  },
155
  "efficiency": {
156
  "unit": "samples/kWh",
157
- "value": 623332.1601457403
158
  }
159
  }
160
  }
 
81
  "processor": "x86_64",
82
  "python_version": "3.10.14",
83
  "optimum_benchmark_version": "0.3.1",
84
+ "optimum_benchmark_commit": "4f83ff1670dec8f273c8beb893e9243ca1209582",
85
  "transformers_version": "4.42.4",
86
  "transformers_commit": null,
87
  "accelerate_version": "0.32.1",
 
100
  "forward": {
101
  "memory": {
102
  "unit": "MB",
103
+ "max_ram": 945.614848,
104
  "max_global_vram": null,
105
  "max_process_vram": null,
106
  "max_reserved": null,
 
108
  },
109
  "latency": {
110
  "unit": "s",
111
+ "count": 21,
112
+ "total": 1.0066262720000339,
113
+ "mean": 0.04793458438095399,
114
+ "stdev": 0.0009086759523779939,
115
+ "p50": 0.04807162200000903,
116
+ "p90": 0.048759567999979936,
117
+ "p95": 0.0488766759999919,
118
+ "p99": 0.049536597600018696,
119
  "values": [
120
+ 0.04970157800002539,
121
+ 0.04754127100000005,
122
+ 0.04837958699999945,
123
+ 0.04616841500001101,
124
+ 0.0486395130000119,
125
+ 0.047720626000000266,
126
+ 0.047410076000005574,
127
+ 0.0483904769999981,
128
+ 0.04552548399999523,
129
+ 0.048759567999979936,
130
+ 0.04829292499999838,
131
+ 0.04796801800000594,
132
+ 0.04842788799999198,
133
+ 0.04807162200000903,
134
+ 0.04839785199999369,
135
+ 0.04782083300000295,
136
+ 0.0488766759999919,
137
+ 0.04840618700001187,
138
+ 0.04676135400001158,
139
+ 0.04772267999999258,
140
+ 0.047643641999997044
 
141
  ]
142
  },
143
  "throughput": {
144
  "unit": "samples/s",
145
+ "value": 20.86176427550988
146
  },
147
  "energy": {
148
  "unit": "kWh",
149
+ "cpu": 1.5985345840454106e-06,
150
+ "ram": 6.680522252017909e-08,
151
  "gpu": 0.0,
152
+ "total": 1.6653398065655895e-06
153
  },
154
  "efficiency": {
155
  "unit": "samples/kWh",
156
+ "value": 600478.0502198456
157
  }
158
  }
159
  }