Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
2003c02
·
verified ·
1 Parent(s): 70eef89

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 +97 -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": 707.694592,
108
  "max_global_vram": 1403.518976,
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": 7.24012255859375,
117
- "mean": 7.24012255859375,
118
  "stdev": 0.0,
119
- "p50": 7.24012255859375,
120
- "p90": 7.24012255859375,
121
- "p95": 7.24012255859375,
122
- "p99": 7.24012255859375,
123
  "values": [
124
- 7.24012255859375
125
  ]
126
  },
127
  "throughput": null,
128
  "energy": {
129
  "unit": "kWh",
130
- "cpu": 1.0983409153090584e-06,
131
- "ram": 5.862094322013908e-07,
132
- "gpu": 1.8497237019993173e-06,
133
- "total": 3.534274049509767e-06
134
  },
135
  "efficiency": null
136
  },
137
  "forward": {
138
  "memory": {
139
  "unit": "MB",
140
- "max_ram": 990.031872,
141
  "max_global_vram": 1434.976256,
142
  "max_process_vram": 0.0,
143
  "max_reserved": 794.820608,
@@ -145,101 +145,104 @@
145
  },
146
  "latency": {
147
  "unit": "s",
148
- "count": 70,
149
- "total": 1.0066515512466434,
150
- "mean": 0.014380736446380616,
151
- "stdev": 0.0006746329681574908,
152
- "p50": 0.014257152080535889,
153
- "p90": 0.014808575916290284,
154
- "p95": 0.015478118562698361,
155
- "p99": 0.017259714221954346,
156
  "values": [
157
- 0.01601945686340332,
158
- 0.015790080070495604,
159
- 0.014905344009399414,
160
- 0.014511103630065919,
161
- 0.014548992156982422,
162
- 0.014384127616882325,
163
- 0.014458880424499512,
164
- 0.014565376281738282,
165
- 0.01509068775177002,
166
- 0.017117183685302736,
167
- 0.01757695960998535,
168
- 0.015096832275390625,
169
- 0.01447430419921875,
170
- 0.014486528396606446,
171
- 0.0146463041305542,
172
- 0.014419967651367188,
173
- 0.014483455657958985,
174
- 0.014429183959960937,
175
- 0.01451417636871338,
176
- 0.014797823905944824,
177
- 0.014757887840270996,
178
- 0.014679072380065918,
179
- 0.014713855743408203,
180
- 0.014622719764709472,
181
- 0.014606335639953612,
182
- 0.013721599578857421,
183
- 0.013905920028686524,
184
- 0.014023679733276367,
185
- 0.01460739231109619,
186
  0.01376460838317871,
187
- 0.01366220760345459,
188
- 0.013929471969604493,
189
- 0.014135295867919923,
190
- 0.014036992073059081,
191
- 0.014238719940185546,
192
- 0.014491647720336913,
193
- 0.014551039695739745,
194
- 0.014528512001037597,
195
- 0.014434304237365723,
196
- 0.01429094409942627,
197
- 0.014114815711975098,
198
- 0.014431232452392579,
199
- 0.01458790397644043,
200
- 0.014712863922119141,
201
- 0.01427558422088623,
202
- 0.014031871795654297,
203
- 0.013915136337280273,
204
- 0.013965312004089356,
205
- 0.013923263549804688,
206
- 0.013926336288452149,
207
- 0.013933568000793458,
208
- 0.013926400184631347,
209
  0.013913087844848633,
210
- 0.013950976371765136,
211
- 0.013911040306091308,
212
- 0.013918208122253419,
213
- 0.014013440132141113,
214
- 0.014049280166625976,
215
- 0.01406668758392334,
216
- 0.01396019172668457,
217
- 0.013880319595336914,
218
- 0.01391926383972168,
219
- 0.013917247772216796,
220
- 0.01387929630279541,
221
- 0.013969408035278321,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
222
  0.013921279907226563,
223
- 0.013912063598632812,
224
- 0.013890560150146485,
225
- 0.013888511657714844,
226
- 0.013927424430847168
 
 
 
 
 
 
 
 
 
 
 
227
  ]
228
  },
229
  "throughput": {
230
  "unit": "samples/s",
231
- "value": 69.5374679682474
232
  },
233
  "energy": {
234
  "unit": "kWh",
235
- "cpu": 1.6377260015435415e-07,
236
- "ram": 8.954040656670556e-08,
237
- "gpu": 3.5965782197260216e-07,
238
- "total": 6.129708286936619e-07
239
  },
240
  "efficiency": {
241
  "unit": "samples/kWh",
242
- "value": 1631399.0049594345
243
  }
244
  }
245
  }
 
104
  "load": {
105
  "memory": {
106
  "unit": "MB",
107
+ "max_ram": 707.64544,
108
  "max_global_vram": 1403.518976,
109
  "max_process_vram": 0.0,
110
  "max_reserved": 773.849088,
 
113
  "latency": {
114
  "unit": "s",
115
  "count": 1,
116
+ "total": 7.21685205078125,
117
+ "mean": 7.21685205078125,
118
  "stdev": 0.0,
119
+ "p50": 7.21685205078125,
120
+ "p90": 7.21685205078125,
121
+ "p95": 7.21685205078125,
122
+ "p99": 7.21685205078125,
123
  "values": [
124
+ 7.21685205078125
125
  ]
126
  },
127
  "throughput": null,
128
  "energy": {
129
  "unit": "kWh",
130
+ "cpu": 1.1307573980755277e-06,
131
+ "ram": 5.835251606173604e-07,
132
+ "gpu": 1.866390381999837e-06,
133
+ "total": 3.5806729406927247e-06
134
  },
135
  "efficiency": null
136
  },
137
  "forward": {
138
  "memory": {
139
  "unit": "MB",
140
+ "max_ram": 989.990912,
141
  "max_global_vram": 1434.976256,
142
  "max_process_vram": 0.0,
143
  "max_reserved": 794.820608,
 
145
  },
146
  "latency": {
147
  "unit": "s",
148
+ "count": 73,
149
+ "total": 1.0098422374725344,
150
+ "mean": 0.013833455307842935,
151
+ "stdev": 0.0002479352092407627,
152
+ "p50": 0.013805567741394043,
153
+ "p90": 0.013982726669311524,
154
+ "p95": 0.01405583324432373,
155
+ "p99": 0.014843166885375977,
156
  "values": [
157
+ 0.014735360145568848,
158
+ 0.015120384216308593,
159
+ 0.014575615882873535,
160
+ 0.013117440223693847,
161
+ 0.01333350372314453,
162
+ 0.013833215713500976,
163
+ 0.013825023651123047,
164
+ 0.013894656181335448,
165
+ 0.013825023651123047,
166
+ 0.013884415626525879,
167
+ 0.0136878080368042,
168
+ 0.013702143669128418,
169
+ 0.013659135818481445,
170
+ 0.013608960151672364,
171
+ 0.013626367568969726,
172
+ 0.013600704193115234,
173
+ 0.013799424171447755,
174
+ 0.013812800407409669,
175
+ 0.013837311744689941,
176
+ 0.013849599838256836,
 
 
 
 
 
 
 
 
 
177
  0.01376460838317871,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
178
  0.013913087844848633,
179
+ 0.013789183616638183,
180
+ 0.013821951866149903,
181
+ 0.014051327705383301,
182
+ 0.013732864379882812,
183
+ 0.013875264167785645,
184
+ 0.01375641632080078,
185
+ 0.013686783790588379,
186
+ 0.013712384223937989,
187
+ 0.013933568000793458,
188
+ 0.014002176284790039,
189
+ 0.013776927947998048,
190
+ 0.013868032455444336,
191
+ 0.013782015800476074,
192
+ 0.013805567741394043,
193
+ 0.01377791976928711,
194
+ 0.013755359649658204,
195
+ 0.013822976112365723,
196
+ 0.013843392372131348,
197
+ 0.013887424468994141,
198
+ 0.01377894401550293,
199
+ 0.013739007949829102,
200
+ 0.013838335990905762,
201
+ 0.013717503547668456,
202
+ 0.013842432022094727,
203
+ 0.013949983596801758,
204
+ 0.013857791900634766,
205
+ 0.013813759803771973,
206
+ 0.013799455642700196,
207
+ 0.013835264205932616,
208
+ 0.01355571174621582,
209
+ 0.013700096130371094,
210
+ 0.01379740810394287,
211
+ 0.013745152473449707,
212
+ 0.01385267162322998,
213
+ 0.013742079734802246,
214
  0.013921279907226563,
215
+ 0.01377791976928711,
216
+ 0.014062591552734375,
217
+ 0.013990912437438965,
218
+ 0.013998080253601074,
219
+ 0.013739007949829102,
220
+ 0.013907967567443847,
221
+ 0.01377791976928711,
222
+ 0.01380352020263672,
223
+ 0.013802495956420899,
224
+ 0.013872127532958984,
225
+ 0.013756447792053223,
226
+ 0.013841407775878906,
227
+ 0.01376460838317871,
228
+ 0.013811712265014648,
229
+ 0.013760512351989745
230
  ]
231
  },
232
  "throughput": {
233
  "unit": "samples/s",
234
+ "value": 72.28851922722777
235
  },
236
  "energy": {
237
  "unit": "kWh",
238
+ "cpu": 1.6028673441202435e-07,
239
+ "ram": 8.763329515846965e-08,
240
+ "gpu": 3.576166524594622e-07,
241
+ "total": 6.055366820299562e-07
242
  },
243
  "efficiency": {
244
  "unit": "samples/kWh",
245
+ "value": 1651427.6173124216
246
  }
247
  }
248
  }