IlyasMoutawwakil HF staff commited on
Commit
689e536
1 Parent(s): b749594

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": "f837debaab7bc93d6490c10e065312a52e57b795",
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": 942.247936,
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": 1.039614972000038,
113
- "mean": 0.04725522600000173,
114
- "stdev": 0.005689386059377898,
115
- "p50": 0.04785896199999229,
116
- "p90": 0.05419865650002863,
117
- "p95": 0.05941182479999156,
118
- "p99": 0.06028350320002175,
119
  "values": [
120
- 0.04891997800001491,
121
- 0.04882707199999459,
122
- 0.04915786499998376,
123
- 0.047980044999974325,
124
- 0.048276484999973945,
125
- 0.04755020600003945,
126
- 0.05447638100002905,
127
- 0.060446165000030305,
128
- 0.05967158499998959,
129
- 0.04787214199996015,
130
- 0.05169913600002474,
131
- 0.04841797099999212,
132
- 0.04784578200002443,
133
- 0.047327054999982465,
134
- 0.04594960800000081,
135
- 0.041178494000007504,
136
- 0.0405867789999661,
137
- 0.04067345200002137,
138
- 0.041333957000006194,
139
- 0.04033369199999015,
140
- 0.040425615000003745,
141
- 0.040665507000028356
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
- "value": 21.161680614964435
147
  },
148
  "energy": {
149
  "unit": "kWh",
150
- "cpu": 1.7948482975815285e-06,
151
- "ram": 7.500851978007135e-08,
152
  "gpu": 0.0,
153
- "total": 1.8698568173615999e-06
154
  },
155
  "efficiency": {
156
  "unit": "samples/kWh",
157
- "value": 534800.307015495
158
  }
159
  }
160
  }
 
81
  "processor": "x86_64",
82
  "python_version": "3.10.14",
83
  "optimum_benchmark_version": "0.3.1",
84
+ "optimum_benchmark_commit": "41836e67badc33c5e7a42b3b53f44695ff51963e",
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": 946.778112,
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": 1.0391104749999158,
113
+ "mean": 0.04948145119047218,
114
+ "stdev": 0.0014870173748671445,
115
+ "p50": 0.04958585999997922,
116
+ "p90": 0.05128091000000268,
117
+ "p95": 0.05167176800000561,
118
+ "p99": 0.052020377600001666,
119
  "values": [
120
+ 0.05128091000000268,
121
+ 0.0495358269999997,
122
+ 0.050234660000000986,
123
+ 0.047628352000003815,
124
+ 0.04965770500001554,
125
+ 0.04948760799999263,
126
+ 0.04881318999997575,
127
+ 0.05026284199999509,
128
+ 0.05034920299999612,
129
+ 0.050031941999975516,
130
+ 0.047297184999990804,
131
+ 0.04919993099997555,
132
+ 0.04695669100004807,
133
+ 0.04958585999997922,
134
+ 0.04722319799998331,
135
+ 0.05210753000000068,
136
+ 0.05063989500001753,
137
+ 0.04716508899997507,
138
+ 0.05167176800000561,
139
+ 0.05093766999999616,
140
+ 0.04904341899998599
 
141
  ]
142
  },
143
  "throughput": {
144
  "unit": "samples/s",
145
+ "value": 20.209593210001756
146
  },
147
  "energy": {
148
  "unit": "kWh",
149
+ "cpu": 1.627135718310321e-06,
150
+ "ram": 6.800029470838353e-08,
151
  "gpu": 0.0,
152
+ "total": 1.6951360130187044e-06
153
  },
154
  "efficiency": {
155
  "unit": "samples/kWh",
156
+ "value": 589923.163875916
157
  }
158
  }
159
  }