IlyasMoutawwakil HF staff commited on
Commit
f5836ab
1 Parent(s): 810427e

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": "0.2.0",
81
- "optimum_benchmark_commit": "b50afdd89f3c69090dee699e5e398c44916e2d64",
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": 938.717184,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
@@ -105,53 +105,54 @@
105
  },
106
  "latency": {
107
  "unit": "s",
108
- "count": 22,
109
- "total": 1.0268475160001458,
110
- "mean": 0.04667488709091572,
111
- "stdev": 0.0008295324819147543,
112
- "p50": 0.046700326500001665,
113
- "p90": 0.04728126889997384,
114
- "p95": 0.04776467944998899,
115
- "p99": 0.04836996466000585,
116
  "values": [
117
- 0.04779006199999003,
118
- 0.04655910599996105,
119
- 0.048524116000010054,
120
- 0.045006880000016736,
121
- 0.047282410999969215,
122
- 0.046658083000011175,
123
- 0.046541794000006576,
124
- 0.047270990000015445,
125
- 0.044565834000025006,
126
- 0.04719701099998019,
127
- 0.0468783840000242,
128
- 0.0469537060000107,
129
- 0.047242205000031845,
130
- 0.04695885600000338,
131
- 0.04627240900003926,
132
- 0.046742569999992156,
133
- 0.04726089100000763,
134
- 0.04640266399997017,
135
- 0.046063018000040756,
136
- 0.04650937300004898,
137
- 0.04601326499999914,
138
- 0.046153887999992094
 
139
  ]
140
  },
141
  "throughput": {
142
  "unit": "samples/s",
143
- "value": 21.424797408768214
144
  },
145
  "energy": {
146
  "unit": "kWh",
147
- "cpu": 1.5576806598239477e-06,
148
- "ram": 6.509782120948179e-08,
149
  "gpu": 0.0,
150
- "total": 1.6227784810334293e-06
151
  },
152
  "efficiency": {
153
  "unit": "samples/kWh",
154
- "value": 616227.0523597114
155
  }
156
  }
157
  }
 
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": "0.2.0",
81
+ "optimum_benchmark_commit": "6fcf23d15753ee501a4776b6dfde05d914257752",
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": 939.696128,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
 
105
  },
106
  "latency": {
107
  "unit": "s",
108
+ "count": 23,
109
+ "total": 1.0134209940000574,
110
+ "mean": 0.04406178234782858,
111
+ "stdev": 0.0028842670959957468,
112
+ "p50": 0.04236019799998303,
113
+ "p90": 0.04795241219999298,
114
+ "p95": 0.048959654000003634,
115
+ "p99": 0.04931280668001023,
116
  "values": [
117
+ 0.049381954000011774,
118
+ 0.04778713400003198,
119
+ 0.047987707999993745,
120
+ 0.046330060000002504,
121
+ 0.04906764800000474,
122
+ 0.04781122899998991,
123
+ 0.04722686100001283,
124
+ 0.0473458330000085,
125
+ 0.04144507399996655,
126
+ 0.041748288999997385,
127
+ 0.041852002000041466,
128
+ 0.041900491999967926,
129
+ 0.041550370999971165,
130
+ 0.04183636300001581,
131
+ 0.04156390600002169,
132
+ 0.041507883000008405,
133
+ 0.041755001000012726,
134
+ 0.042566643000043314,
135
+ 0.04309625999997024,
136
+ 0.04176138399998308,
137
+ 0.04236019799998303,
138
+ 0.04156838400001561,
139
+ 0.04397031700000298
140
  ]
141
  },
142
  "throughput": {
143
  "unit": "samples/s",
144
+ "value": 22.695405104266765
145
  },
146
  "energy": {
147
  "unit": "kWh",
148
+ "cpu": 1.637339371222037e-06,
149
+ "ram": 6.842642087975765e-08,
150
  "gpu": 0.0,
151
+ "total": 1.7057657921017943e-06
152
  },
153
  "efficiency": {
154
  "unit": "samples/kWh",
155
+ "value": 586246.9540837898
156
  }
157
  }
158
  }