Hugging Face's logo

Datasets:
optimum-benchmark
/
cpu

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
4f94ea2
•
1 Parent(s): ffe1029

Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json +61 -55
cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json CHANGED
@@ -80,7 +80,7 @@
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
- "optimum_benchmark_commit": "004348a741507f161e4fae5078d05de404e8b911",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
@@ -99,7 +99,7 @@
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 947.146752,
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": 4.348570628999994,
112
- "mean": 4.348570628999994,
113
  "stdev": 0.0,
114
- "p50": 4.348570628999994,
115
- "p90": 4.348570628999994,
116
- "p95": 4.348570628999994,
117
- "p99": 4.348570628999994,
118
  "values": [
119
- 4.348570628999994
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
- "cpu": 4.826712080555416e-05,
126
- "ram": 2.0173400238575495e-06,
127
  "gpu": 0,
128
- "total": 5.0284460829411714e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
- "max_ram": 954.617856,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
@@ -140,60 +140,66 @@
140
  },
141
  "latency": {
142
  "unit": "s",
143
- "count": 29,
144
- "total": 1.0158812539999644,
145
- "mean": 0.03503038806896429,
146
- "stdev": 0.0013468233889811331,
147
- "p50": 0.03482079700000895,
148
- "p90": 0.03636197700000139,
149
- "p95": 0.036889520599993376,
150
- "p99": 0.037479326520006,
151
  "values": [
152
- 0.036262043000022004,
153
- 0.03482079700000895,
154
- 0.03383603499997889,
155
- 0.03301860599998463,
156
- 0.03577524199999971,
157
- 0.0346839299999715,
158
- 0.03477839700002505,
159
- 0.03459896200001822,
160
- 0.03404738000000407,
161
- 0.03374258000002328,
162
- 0.03399304800001346,
163
- 0.03527816199999734,
164
- 0.03447621199995865,
165
- 0.0345320069999957,
166
- 0.03473884300001373,
167
- 0.034279283999978816,
168
- 0.03496196099996496,
169
- 0.03562018299999181,
170
- 0.035678270999994766,
171
- 0.03627865300001076,
172
- 0.035895837999987634,
173
- 0.035637664000034874,
174
- 0.034808273000010104,
175
- 0.035956700999975055,
176
- 0.03701901900001303,
177
- 0.03765833500000326,
178
- 0.03669527299996389,
179
- 0.03626874499997257,
180
- 0.030540810000047713
 
 
 
 
 
 
181
  ]
182
  },
183
  "throughput": {
184
  "unit": "samples/s",
185
- "value": 28.546643503671756
186
  },
187
  "energy": {
188
  "unit": "kWh",
189
- "cpu": 1.1734823825163251e-06,
190
- "ram": 4.904213461825193e-08,
191
  "gpu": 0.0,
192
- "total": 1.222524517134577e-06
193
  },
194
  "efficiency": {
195
  "unit": "samples/kWh",
196
- "value": 817979.505510333
197
  }
198
  }
199
  }
 
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.4.0",
83
+ "optimum_benchmark_commit": "12475cb656b1f369db810190724d8affe3522bc1",
84
  "transformers_version": "4.44.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.33.0",
 
99
  "load": {
100
  "memory": {
101
  "unit": "MB",
102
+ "max_ram": 947.75296,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
 
108
  "latency": {
109
  "unit": "s",
110
  "count": 1,
111
+ "total": 4.248346209000033,
112
+ "mean": 4.248346209000033,
113
  "stdev": 0.0,
114
+ "p50": 4.248346209000033,
115
+ "p90": 4.248346209000033,
116
+ "p95": 4.248346209000033,
117
+ "p99": 4.248346209000033,
118
  "values": [
119
+ 4.248346209000033
120
  ]
121
  },
122
  "throughput": null,
123
  "energy": {
124
  "unit": "kWh",
125
+ "cpu": 4.946395918333432e-05,
126
+ "ram": 2.067364938714042e-06,
127
  "gpu": 0,
128
+ "total": 5.153132412204836e-05
129
  },
130
  "efficiency": null
131
  },
132
  "forward": {
133
  "memory": {
134
  "unit": "MB",
135
+ "max_ram": 955.224064,
136
  "max_global_vram": null,
137
  "max_process_vram": null,
138
  "max_reserved": null,
 
140
  },
141
  "latency": {
142
  "unit": "s",
143
+ "count": 35,
144
+ "total": 1.0203403039998307,
145
+ "mean": 0.029152580114280877,
146
+ "stdev": 0.0010569101455286571,
147
+ "p50": 0.02895977199995059,
148
+ "p90": 0.02930091939999784,
149
+ "p95": 0.03052143289996251,
150
+ "p99": 0.03334875337999278,
151
  "values": [
152
+ 0.02945692099996222,
153
+ 0.02933655300000737,
154
+ 0.033005293999963214,
155
+ 0.028957216999970115,
156
+ 0.02924746899998354,
157
+ 0.028976934000013443,
158
+ 0.028832714000031956,
159
+ 0.028892205000033755,
160
+ 0.028976472000010745,
161
+ 0.02884136000000126,
162
+ 0.029012901999976748,
163
+ 0.02876307399998268,
164
+ 0.02909086700003627,
165
+ 0.02920624199998656,
166
+ 0.029114641000035135,
167
+ 0.02895179699999062,
168
+ 0.028884681000022283,
169
+ 0.028790055000001757,
170
+ 0.02912941899995758,
171
+ 0.02875365699998156,
172
+ 0.028949592999993,
173
+ 0.029168050999999195,
174
+ 0.029148195000004762,
175
+ 0.028979698999989978,
176
+ 0.02895977199995059,
177
+ 0.02901496499998757,
178
+ 0.028873931000021003,
179
+ 0.028658117999952992,
180
+ 0.028834297000003062,
181
+ 0.02903811900000619,
182
+ 0.03352568700000802,
183
+ 0.028578188999972554,
184
+ 0.028086169000005157,
185
+ 0.028071301000011317,
186
+ 0.02823374399997647
187
  ]
188
  },
189
  "throughput": {
190
  "unit": "samples/s",
191
+ "value": 34.30228117305244
192
  },
193
  "energy": {
194
  "unit": "kWh",
195
+ "cpu": 1.0996158055555224e-06,
196
+ "ram": 4.5955375542633096e-08,
197
  "gpu": 0.0,
198
+ "total": 1.1455711810981555e-06
199
  },
200
  "efficiency": {
201
  "unit": "samples/kWh",
202
+ "value": 872926.9874276957
203
  }
204
  }
205
  }