Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
46a75ca
·
verified ·
1 Parent(s): 1075772

Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json +50 -51
cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json CHANGED
@@ -79,8 +79,8 @@
79
  "platform": "Linux-6.5.0-1024-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
- "optimum_benchmark_version": "0.4.0",
83
- "optimum_benchmark_commit": "3d7258bc53700ac83eb355d4dbbeac8dec4eb496",
84
  "transformers_version": "4.43.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 946.950144,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -108,31 +108,31 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
- "total": 4.467984989000001,
112
- "mean": 4.467984989000001,
113
  "stdev": 0.0,
114
- "p50": 4.467984989000001,
115
- "p90": 4.467984989000001,
116
- "p95": 4.467984989000001,
117
- "p99": 4.467984989000001,
118
  "values": [
119
- 4.467984989000001
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 4.796026547749837e-05,
126
- "ram": 2.0045025621698185e-06,
127
  "gpu": 0,
128
- "total": 4.996476803966819e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 957.566976,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,55 +140,54 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 24,
144
- "total": 1.0250998320000804,
145
- "mean": 0.04271249300000335,
146
- "stdev": 0.0008500222557167956,
147
- "p50": 0.04272465150000926,
148
- "p90": 0.043465308000020283,
149
- "p95": 0.04425755900002173,
150
- "p99": 0.04518876870000952,
151
  "values": [
152
- 0.04320755399999143,
153
- 0.0443778740000198,
154
- 0.04357577400003265,
155
- 0.04284885399999894,
156
- 0.04189006000001427,
157
- 0.04232463299996425,
158
- 0.042718951000040306,
159
- 0.042148904000043785,
160
- 0.04289270599997508,
161
- 0.04284462599997596,
162
- 0.04295989100000952,
163
- 0.042857750000052874,
164
- 0.04242016200004173,
165
- 0.04273035199997821,
166
- 0.042541969000012614,
167
- 0.04278542499997684,
168
- 0.043007117000001926,
169
- 0.04220071099996403,
170
- 0.04228025999998408,
171
- 0.04183078899995962,
172
- 0.0414343790000089,
173
- 0.042389232000004995,
174
- 0.04543098400000645,
175
- 0.0414008750000221
176
  ]
177
  },
178
  "throughput": {
179
  "unit": "samples/s",
180
- "value": 23.412353851598443
181
  },
182
  "energy": {
183
  "unit": "kWh",
184
- "cpu": 1.617124981350369e-06,
185
- "ram": 6.75825758299652e-08,
186
  "gpu": 0.0,
187
- "total": 1.684707557180334e-06
188
  },
189
  "efficiency": {
190
  "unit": "samples/kWh",
191
- "value": 593574.8289000868
192
  }
193
  }
194
  }
 
79
  "platform": "Linux-6.5.0-1024-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
+ "optimum_benchmark_version": "0.3.1",
83
+ "optimum_benchmark_commit": "0aac0108c378c328492774ddb431ea89a3c2b507",
84
  "transformers_version": "4.43.3",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 946.532352,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.307709795999983,
112
+ "mean": 4.307709795999983,
113
  "stdev": 0.0,
114
+ "p50": 4.307709795999983,
115
+ "p90": 4.307709795999983,
116
+ "p95": 4.307709795999983,
117
+ "p99": 4.307709795999983,
118
  "values": [
119
+ 4.307709795999983
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.783132208718194e-05,
126
+ "ram": 1.999129382605815e-06,
127
  "gpu": 0,
128
+ "total": 4.983045146978776e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 957.411328,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 23,
144
+ "total": 1.0153517069999793,
145
+ "mean": 0.04414572639130345,
146
+ "stdev": 0.0015106970401920165,
147
+ "p50": 0.04451810599999817,
148
+ "p90": 0.045322792000001756,
149
+ "p95": 0.045371968200015544,
150
+ "p99": 0.04548466528000631,
151
  "values": [
152
+ 0.04495050700001002,
153
+ 0.044099429999960194,
154
+ 0.04251703099998849,
155
+ 0.045374002000016844,
156
+ 0.04508708299999853,
157
+ 0.04451810599999817,
158
+ 0.04371503900000562,
159
+ 0.04243762199996581,
160
+ 0.044912736000014775,
161
+ 0.0449370410000256,
162
+ 0.04456474299996671,
163
+ 0.04400469300003351,
164
+ 0.04357656899998119,
165
+ 0.04551587800000334,
166
+ 0.04491707399995448,
167
+ 0.04519930399999339,
168
+ 0.04441617400004816,
169
+ 0.04322078100000226,
170
+ 0.045353664000003846,
171
+ 0.0443925200000308,
172
+ 0.0444922570000017,
173
+ 0.04492484700000432,
174
+ 0.03822460599997157
 
175
  ]
176
  },
177
  "throughput": {
178
  "unit": "samples/s",
179
+ "value": 22.652249305767373
180
  },
181
  "energy": {
182
  "unit": "kWh",
183
+ "cpu": 1.4888758522002296e-06,
184
+ "ram": 6.222339204782656e-08,
185
  "gpu": 0.0,
186
+ "total": 1.5510992442480562e-06
187
  },
188
  "efficiency": {
189
  "unit": "samples/kWh",
190
+ "value": 644704.072746023
191
  }
192
  }
193
  }