IlyasMoutawwakil HF staff commited on
Commit
8c4ab9f
1 Parent(s): 546aa87

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
@@ -73,14 +73,14 @@
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
- "cpu_ram_mb": 16757.342208,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1022-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.1",
83
- "optimum_benchmark_commit": "cc9b50765eac8085269af1a207e20c6a9b260b67",
84
  "transformers_version": "4.42.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.31.0",
@@ -99,7 +99,7 @@
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 939.606016,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,54 +107,55 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 23,
111
- "total": 1.0319591450000303,
112
- "mean": 0.04486778891304479,
113
- "stdev": 0.003333516083621961,
114
- "p50": 0.04680115100001103,
115
- "p90": 0.04740027880000639,
116
- "p95": 0.04764767449997862,
117
- "p99": 0.048204714179994425,
118
  "values": [
119
- 0.0483548159999998,
120
- 0.04688099899999543,
121
- 0.046266153000004806,
122
- 0.04767253499997537,
123
- 0.04698070500000995,
124
- 0.046697217000001956,
125
- 0.04580093600000623,
126
- 0.04710798199999999,
127
- 0.04726470399998561,
128
- 0.04680115100001103,
129
- 0.047060944999998355,
130
- 0.0472626800000171,
131
- 0.0469628410000098,
132
- 0.047423930000007886,
133
- 0.04730567400000041,
134
- 0.04398184600000832,
135
- 0.04556606399998486,
136
- 0.03969931500000712,
137
- 0.039403673999999,
138
- 0.03931710300000191,
139
- 0.03927870100000064,
140
- 0.03954476699999532,
141
- 0.03932440700000939
 
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
- "value": 22.28770403502682
147
  },
148
  "energy": {
149
  "unit": "kWh",
150
- "cpu": 1.5475817215748324e-06,
151
- "ram": 6.46767655452917e-08,
152
  "gpu": 0.0,
153
- "total": 1.6122584871201242e-06
154
  },
155
  "efficiency": {
156
  "unit": "samples/kWh",
157
- "value": 620247.9366607255
158
  }
159
  }
160
  }
 
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
+ "cpu_ram_mb": 16757.338112,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
  "platform": "Linux-6.5.0-1022-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.1",
83
+ "optimum_benchmark_commit": "43734676b09236e2ae4d7c19f90e8e23d1f2f201",
84
  "transformers_version": "4.42.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.31.0",
 
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 942.211072,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
107
  },
108
  "latency": {
109
  "unit": "s",
110
+ "count": 24,
111
+ "total": 1.036298180000017,
112
+ "mean": 0.043179090833334044,
113
+ "stdev": 0.002189473122369011,
114
+ "p50": 0.044610296999991306,
115
+ "p90": 0.045187591000012614,
116
+ "p95": 0.04525405059999912,
117
+ "p99": 0.04529109219998418,
118
  "values": [
119
+ 0.04529959299998154,
120
+ 0.04470166800001607,
121
+ 0.04462644700004148,
122
+ 0.04460547899998346,
123
+ 0.0446821909999926,
124
+ 0.045205417000033776,
125
+ 0.04504779299998063,
126
+ 0.044749747000025764,
127
+ 0.04425163899998097,
128
+ 0.04461511499999915,
129
+ 0.04492204899997887,
130
+ 0.045262632999993,
131
+ 0.04426653600000918,
132
+ 0.045145996999963245,
133
+ 0.0448085269999865,
134
+ 0.04109826899997415,
135
+ 0.03982194900004288,
136
+ 0.04009471799997755,
137
+ 0.04006357000002936,
138
+ 0.042594269000005625,
139
+ 0.040380871000024854,
140
+ 0.039894153000034294,
141
+ 0.03958470699996042,
142
+ 0.04057484300000169
143
  ]
144
  },
145
  "throughput": {
146
  "unit": "samples/s",
147
+ "value": 23.159357473733674
148
  },
149
  "energy": {
150
  "unit": "kWh",
151
+ "cpu": 1.5446457597944473e-06,
152
+ "ram": 6.455342116480232e-08,
153
  "gpu": 0.0,
154
+ "total": 1.6091991809592498e-06
155
  },
156
  "efficiency": {
157
  "unit": "samples/kWh",
158
+ "value": 621427.1122136019
159
  }
160
  }
161
  }