IlyasMoutawwakil HF staff commited on
Commit
f7e85d9
1 Parent(s): 2c77da2

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
@@ -71,14 +71,14 @@
71
  "environment": {
72
  "cpu": " AMD EPYC 7763 64-Core Processor",
73
  "cpu_count": 4,
74
- "cpu_ram_mb": 16757.3504,
75
  "system": "Linux",
76
  "machine": "x86_64",
77
  "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
  "optimum_benchmark_version": "0.2.1",
81
- "optimum_benchmark_commit": "1ba65d84c92c93ea19ab2d2293c92bced987bae2",
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": 939.618304,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
@@ -105,52 +105,53 @@
105
  },
106
  "latency": {
107
  "unit": "s",
108
- "count": 21,
109
- "total": 1.0166431719999878,
110
- "mean": 0.04841157961904704,
111
- "stdev": 0.0008352788246667446,
112
- "p50": 0.04853026000000682,
113
- "p90": 0.04931461600000375,
114
- "p95": 0.049659447999999884,
115
- "p99": 0.04998655200000712,
116
  "values": [
117
- 0.04931461600000375,
118
- 0.048226350999982515,
119
- 0.04863095500002146,
120
- 0.046930662000022494,
121
- 0.049032120999982,
122
- 0.04860684999999876,
123
- 0.04853026000000682,
124
- 0.049100869000028524,
125
- 0.0468076049999695,
126
- 0.05006832800000893,
127
- 0.048791683999979796,
128
- 0.04808170399996925,
129
- 0.047575662999975066,
130
- 0.049659447999999884,
131
- 0.04739059900003895,
132
- 0.04894478900001786,
133
- 0.04823131199998443,
134
- 0.04910815300002014,
135
- 0.04761511600003132,
136
- 0.048013677999961146,
137
- 0.04798240899998518
 
138
  ]
139
  },
140
  "throughput": {
141
  "unit": "samples/s",
142
- "value": 20.65621505988952
143
  },
144
  "energy": {
145
  "unit": "kWh",
146
- "cpu": 1.6181519296434194e-06,
147
- "ram": 6.762301141558661e-08,
148
  "gpu": 0.0,
149
- "total": 1.6857749410590059e-06
150
  },
151
  "efficiency": {
152
  "unit": "samples/kWh",
153
- "value": 593198.9945062292
154
  }
155
  }
156
  }
 
71
  "environment": {
72
  "cpu": " AMD EPYC 7763 64-Core Processor",
73
  "cpu_count": 4,
74
+ "cpu_ram_mb": 16757.354496,
75
  "system": "Linux",
76
  "machine": "x86_64",
77
  "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
  "optimum_benchmark_version": "0.2.1",
81
+ "optimum_benchmark_commit": "eee61510ab9c7b38bd9807712fa942e2f5ba255c",
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": 939.687936,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
 
105
  },
106
  "latency": {
107
  "unit": "s",
108
+ "count": 22,
109
+ "total": 1.0349017860000345,
110
+ "mean": 0.04704099027272884,
111
+ "stdev": 0.0008960551270762394,
112
+ "p50": 0.04712982150002176,
113
+ "p90": 0.047913666700009114,
114
+ "p95": 0.048377054699992074,
115
+ "p99": 0.04845439401997794,
116
  "values": [
117
+ 0.04846872399997437,
118
+ 0.04708775700004253,
119
+ 0.04755368600001475,
120
+ 0.04527209899998752,
121
+ 0.04840048599999136,
122
+ 0.04726427999997895,
123
+ 0.047171886000000995,
124
+ 0.04765358499997774,
125
+ 0.04450468900000715,
126
+ 0.04748437500001046,
127
+ 0.0474714909999534,
128
+ 0.04701656299999968,
129
+ 0.04774992700004077,
130
+ 0.0479318600000056,
131
+ 0.04664772600000333,
132
+ 0.046690858000033586,
133
+ 0.0474607810000407,
134
+ 0.04655552200000557,
135
+ 0.046383206000029986,
136
+ 0.04690025299998979,
137
+ 0.04702021899998954,
138
+ 0.04621181299995669
139
  ]
140
  },
141
  "throughput": {
142
  "unit": "samples/s",
143
+ "value": 21.25805588280168
144
  },
145
  "energy": {
146
  "unit": "kWh",
147
+ "cpu": 1.5788004133436418e-06,
148
+ "ram": 6.598061593898592e-08,
149
  "gpu": 0.0,
150
+ "total": 1.6447810292826278e-06
151
  },
152
  "efficiency": {
153
  "unit": "samples/kWh",
154
+ "value": 607983.6660300919
155
  }
156
  }
157
  }