Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
8072f48
·
verified ·
1 Parent(s): efed434

Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json +95 -94
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json CHANGED
@@ -104,7 +104,7 @@
104
  "load": {
105
  "memory": {
106
  "unit": "MB",
107
- "max_ram": 796.434432,
108
  "max_global_vram": 1410.859008,
109
  "max_process_vram": 0.0,
110
  "max_reserved": 773.849088,
@@ -113,31 +113,31 @@
113
  "latency": {
114
  "unit": "s",
115
  "count": 1,
116
- "total": 8.01444580078125,
117
- "mean": 8.01444580078125,
118
  "stdev": 0.0,
119
- "p50": 8.01444580078125,
120
- "p90": 8.01444580078125,
121
- "p95": 8.01444580078125,
122
- "p99": 8.01444580078125,
123
  "values": [
124
- 8.01444580078125
125
  ]
126
  },
127
  "throughput": null,
128
  "energy": {
129
  "unit": "kWh",
130
- "cpu": 2.4285170319438346e-06,
131
- "ram": 1.3124160366581383e-06,
132
- "gpu": 3.4758361140002636e-06,
133
- "total": 7.2167691826022365e-06
134
  },
135
  "efficiency": null
136
  },
137
  "forward": {
138
  "memory": {
139
  "unit": "MB",
140
- "max_ram": 1185.673216,
141
  "max_global_vram": 1442.316288,
142
  "max_process_vram": 0.0,
143
  "max_reserved": 794.820608,
@@ -145,100 +145,101 @@
145
  },
146
  "latency": {
147
  "unit": "s",
148
- "count": 69,
149
- "total": 1.0029326105117802,
150
- "mean": 0.014535255224808405,
151
- "stdev": 0.0004777551517245581,
152
- "p50": 0.014547967910766601,
153
- "p90": 0.014838374710083008,
154
- "p95": 0.015660851478576657,
155
- "p99": 0.016065290222167967,
156
  "values": [
157
- 0.015490048408508301,
158
- 0.015774720191955565,
159
- 0.01584332847595215,
160
- 0.014881792068481446,
161
- 0.014712832450866698,
162
- 0.014578687667846679,
163
- 0.014637056350708008,
164
- 0.01447321605682373,
165
- 0.014558208465576173,
166
- 0.014621696472167968,
167
- 0.014725024223327637,
168
- 0.01455513572692871,
169
- 0.01472000026702881,
170
- 0.014609408378601075,
171
- 0.014599167823791503,
172
- 0.01459609603881836,
173
- 0.01461350440979004,
174
- 0.014663680076599121,
175
- 0.014547967910766601,
176
- 0.014519295692443847,
177
- 0.014415871620178223,
178
- 0.01459712028503418,
179
- 0.01451417636871338,
180
- 0.014742527961730957,
181
- 0.014774271965026856,
182
- 0.014348287582397461,
183
- 0.014723072052001953,
184
- 0.014756863594055175,
185
- 0.014561280250549317,
186
- 0.014562303543090821,
187
- 0.014560447692871094,
188
- 0.014567423820495605,
189
- 0.014518272399902344,
190
- 0.014503935813903808,
191
- 0.01438310432434082,
192
- 0.014556159973144531,
193
- 0.015266816139221191,
194
- 0.014814208030700684,
195
- 0.014827520370483398,
196
- 0.014642175674438476,
197
- 0.014542911529541016,
198
- 0.014539775848388671,
199
- 0.014309408187866211,
200
- 0.014356479644775391,
201
- 0.014369791984558105,
202
- 0.014412896156311035,
203
- 0.014324831962585449,
204
- 0.014488415718078613,
205
- 0.014619647979736328,
206
- 0.015985664367675782,
207
- 0.016234495162963866,
208
- 0.014440447807312011,
209
- 0.014401535987854003,
210
- 0.01408512020111084,
211
- 0.014071807861328126,
212
- 0.01397862434387207,
213
- 0.013937631607055663,
214
- 0.013911040306091308,
215
- 0.013889535903930664,
216
- 0.013921279907226563,
217
- 0.01397043228149414,
218
- 0.014007424354553223,
219
- 0.013988863945007325,
220
  0.013972479820251465,
221
- 0.014027775764465332,
 
 
 
 
 
 
 
 
222
  0.013919232368469238,
223
- 0.01387116813659668,
224
- 0.013990912437438965,
225
- 0.014006272315979004
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
226
  ]
227
  },
228
  "throughput": {
229
  "unit": "samples/s",
230
- "value": 68.79824155362786
231
  },
232
  "energy": {
233
  "unit": "kWh",
234
- "cpu": 1.6518561492090535e-07,
235
- "ram": 9.019565462620187e-08,
236
- "gpu": 3.6601109527776813e-07,
237
- "total": 6.213923648248753e-07
238
  },
239
  "efficiency": {
240
  "unit": "samples/kWh",
241
- "value": 1609289.1651184452
242
  }
243
  }
244
  }
 
104
  "load": {
105
  "memory": {
106
  "unit": "MB",
107
+ "max_ram": 797.45024,
108
  "max_global_vram": 1410.859008,
109
  "max_process_vram": 0.0,
110
  "max_reserved": 773.849088,
 
113
  "latency": {
114
  "unit": "s",
115
  "count": 1,
116
+ "total": 7.96623779296875,
117
+ "mean": 7.96623779296875,
118
  "stdev": 0.0,
119
+ "p50": 7.96623779296875,
120
+ "p90": 7.96623779296875,
121
+ "p95": 7.96623779296875,
122
+ "p99": 7.96623779296875,
123
  "values": [
124
+ 7.96623779296875
125
  ]
126
  },
127
  "throughput": null,
128
  "energy": {
129
  "unit": "kWh",
130
+ "cpu": 2.460771391669899e-06,
131
+ "ram": 1.3064916920989835e-06,
132
+ "gpu": 3.539169498001024e-06,
133
+ "total": 7.306432581769907e-06
134
  },
135
  "efficiency": null
136
  },
137
  "forward": {
138
  "memory": {
139
  "unit": "MB",
140
+ "max_ram": 1186.684928,
141
  "max_global_vram": 1442.316288,
142
  "max_process_vram": 0.0,
143
  "max_reserved": 794.820608,
 
145
  },
146
  "latency": {
147
  "unit": "s",
148
+ "count": 70,
149
+ "total": 0.998546591758728,
150
+ "mean": 0.014264951310838972,
151
+ "stdev": 0.0005396606193544513,
152
+ "p50": 0.01413324785232544,
153
+ "p90": 0.014430895805358886,
154
+ "p95": 0.015369676351547241,
155
+ "p99": 0.016610774803161626,
156
  "values": [
157
+ 0.015640576362609862,
158
+ 0.01528012752532959,
159
+ 0.014725119590759277,
160
+ 0.014111743927001954,
161
+ 0.014033920288085937,
162
+ 0.014082079887390136,
163
+ 0.014026752471923828,
164
+ 0.0139683837890625,
165
+ 0.014081024169921874,
166
+ 0.014134271621704102,
167
+ 0.014107647895812989,
168
+ 0.014015487670898438,
169
+ 0.014240768432617188,
170
+ 0.014181376457214356,
171
+ 0.01416806411743164,
172
+ 0.014000127792358399,
173
+ 0.014146559715270996,
174
+ 0.01403395175933838,
175
+ 0.013914112091064454,
176
+ 0.014106623649597168,
177
+ 0.013948927879333496,
178
+ 0.01408409595489502,
179
+ 0.014140416145324707,
180
+ 0.014277631759643555,
181
+ 0.014224384307861328,
182
+ 0.014087167739868164,
183
+ 0.014235648155212402,
184
+ 0.014144512176513671,
185
+ 0.014109696388244629,
186
+ 0.013939711570739746,
187
+ 0.013959168434143066,
188
+ 0.014261247634887696,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
189
  0.013972479820251465,
190
+ 0.014087167739868164,
191
+ 0.014034943580627441,
192
+ 0.014029824256896972,
193
+ 0.014437376022338867,
194
+ 0.014317567825317384,
195
+ 0.01428889560699463,
196
+ 0.014319616317749024,
197
+ 0.014010368347167968,
198
+ 0.014132224082946777,
199
  0.013919232368469238,
200
+ 0.013938688278198242,
201
+ 0.013961215972900391,
202
+ 0.014213184356689453,
203
+ 0.015442943572998047,
204
+ 0.01738447952270508,
205
+ 0.01626316833496094,
206
+ 0.01443017578125,
207
+ 0.014169088363647461,
208
+ 0.014254079818725587,
209
+ 0.014196736335754395,
210
+ 0.014242815971374511,
211
+ 0.014152704238891601,
212
+ 0.014179327964782714,
213
+ 0.014149632453918457,
214
+ 0.01419059181213379,
215
+ 0.014158847808837891,
216
+ 0.014173184394836426,
217
+ 0.014105600357055664,
218
+ 0.014087200164794922,
219
+ 0.014092288017272948,
220
+ 0.014062591552734375,
221
+ 0.014110719680786133,
222
+ 0.014050304412841797,
223
+ 0.014148608207702636,
224
+ 0.014114815711975098,
225
+ 0.014185471534729004,
226
+ 0.014127103805541993
227
  ]
228
  },
229
  "throughput": {
230
  "unit": "samples/s",
231
+ "value": 70.10188665980006
232
  },
233
  "energy": {
234
  "unit": "kWh",
235
+ "cpu": 1.6992785741389889e-07,
236
+ "ram": 9.238013413149645e-08,
237
+ "gpu": 3.534275127887237e-07,
238
+ "total": 6.157355043341191e-07
239
  },
240
  "efficiency": {
241
  "unit": "samples/kWh",
242
+ "value": 1624073.9618895939
243
  }
244
  }
245
  }