Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
8ebf218
·
verified ·
1 Parent(s): f66c14f

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 +94 -95
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": 797.26592,
108
  "max_global_vram": 1403.518976,
109
  "max_process_vram": 0.0,
110
  "max_reserved": 773.849088,
@@ -113,24 +113,24 @@
113
  "latency": {
114
  "unit": "s",
115
  "count": 1,
116
- "total": 7.82026025390625,
117
- "mean": 7.82026025390625,
118
  "stdev": 0.0,
119
- "p50": 7.82026025390625,
120
- "p90": 7.82026025390625,
121
- "p95": 7.82026025390625,
122
- "p99": 7.82026025390625,
123
  "values": [
124
- 7.82026025390625
125
  ]
126
  },
127
  "throughput": null,
128
  "energy": {
129
  "unit": "kWh",
130
- "cpu": 9.674078555549038e-07,
131
- "ram": 5.148332001810996e-07,
132
- "gpu": 1.6266679679997204e-06,
133
- "total": 3.1089090237357237e-06
134
  },
135
  "efficiency": null
136
  },
@@ -145,103 +145,102 @@
145
  },
146
  "latency": {
147
  "unit": "s",
148
- "count": 72,
149
- "total": 1.0071820821762083,
150
- "mean": 0.013988640030225116,
151
- "stdev": 0.0005202257278774503,
152
- "p50": 0.013905407905578614,
153
- "p90": 0.014480281257629395,
154
- "p95": 0.014703565073013307,
155
- "p99": 0.01599551506996155,
156
  "values": [
157
- 0.016343040466308592,
158
- 0.0158535680770874,
159
- 0.014160896301269531,
160
- 0.013849632263183594,
 
 
 
 
161
  0.013935615539550781,
162
- 0.013946880340576171,
163
- 0.013910016059875489,
164
- 0.013766847610473632,
165
- 0.013783040046691895,
166
- 0.013990816116333007,
167
- 0.013906944274902343,
168
- 0.013905920028686524,
169
- 0.013914112091064454,
170
- 0.01395206356048584,
171
- 0.013846528053283692,
172
- 0.013832192420959472,
173
- 0.01376153564453125,
174
- 0.013969408035278321,
175
- 0.013731840133666993,
176
- 0.01376153564453125,
177
- 0.01377996826171875,
178
- 0.013766592025756835,
179
- 0.013806591987609864,
180
  0.014014464378356933,
181
- 0.01507532787322998,
182
- 0.014520319938659668,
183
- 0.014331904411315918,
184
- 0.014732288360595704,
185
- 0.01437183952331543,
186
- 0.014508031845092773,
187
- 0.014262271881103515,
188
- 0.014395392417907715,
189
- 0.01437491226196289,
190
- 0.013829119682312012,
191
- 0.013768704414367675,
192
- 0.01376255989074707,
193
- 0.013904895782470703,
194
- 0.014214143753051758,
195
- 0.014134271621704102,
196
- 0.014006272315979004,
197
- 0.0139716157913208,
198
- 0.013968447685241699,
199
- 0.014451711654663087,
200
- 0.01415987205505371,
201
- 0.014181280136108398,
202
- 0.014145536422729492,
203
- 0.014224479675292969,
204
- 0.014483455657958985,
205
- 0.01439846420288086,
206
- 0.014680064201354981,
207
- 0.014368767738342286,
208
  0.01387929630279541,
209
- 0.01387110424041748,
210
- 0.01374396800994873,
211
- 0.013796352386474609,
212
- 0.013765631675720215,
213
- 0.013763584136962891,
214
- 0.013730815887451172,
215
- 0.01364684772491455,
216
- 0.01367961597442627,
217
- 0.013708288192749024,
218
- 0.013213695526123047,
219
- 0.013200480461120606,
220
- 0.013191136360168457,
221
- 0.013225983619689942,
222
- 0.013586432456970214,
223
- 0.013705216407775878,
224
- 0.013402112007141113,
225
- 0.013198335647583008,
226
- 0.013237248420715332,
227
- 0.0132925443649292,
228
- 0.013627391815185547
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
229
  ]
230
  },
231
  "throughput": {
232
  "unit": "samples/s",
233
- "value": 71.48657752571442
234
  },
235
  "energy": {
236
  "unit": "kWh",
237
- "cpu": 1.662951118537852e-07,
238
- "ram": 9.07540239510079e-08,
239
- "gpu": 3.3934440727777505e-07,
240
- "total": 5.963935430825682e-07
241
  },
242
  "efficiency": {
243
  "unit": "samples/kWh",
244
- "value": 1676745.1821012658
245
  }
246
  }
247
  }
 
104
  "load": {
105
  "memory": {
106
  "unit": "MB",
107
+ "max_ram": 797.536256,
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": 7.87911572265625,
117
+ "mean": 7.87911572265625,
118
  "stdev": 0.0,
119
+ "p50": 7.87911572265625,
120
+ "p90": 7.87911572265625,
121
+ "p95": 7.87911572265625,
122
+ "p99": 7.87911572265625,
123
  "values": [
124
+ 7.87911572265625
125
  ]
126
  },
127
  "throughput": null,
128
  "energy": {
129
  "unit": "kWh",
130
+ "cpu": 9.274191215276064e-07,
131
+ "ram": 4.925269699401566e-07,
132
+ "gpu": 1.7244458239999358e-06,
133
+ "total": 3.1443919154676985e-06
134
  },
135
  "efficiency": null
136
  },
 
145
  },
146
  "latency": {
147
  "unit": "s",
148
+ "count": 71,
149
+ "total": 0.9977590103149415,
150
+ "mean": 0.014052943807252695,
151
+ "stdev": 0.0004774239232851675,
152
+ "p50": 0.014009344100952148,
153
+ "p90": 0.014536704063415527,
154
+ "p95": 0.014864895820617676,
155
+ "p99": 0.015637353515624997,
156
  "values": [
157
+ 0.01647804832458496,
158
+ 0.015277055740356446,
159
+ 0.014790656089782715,
160
+ 0.014370816230773926,
161
+ 0.013956095695495606,
162
+ 0.014325759887695312,
163
+ 0.014176223754882812,
164
+ 0.013817855834960938,
165
  0.013935615539550781,
166
+ 0.014064640045166015,
167
+ 0.01417728042602539,
168
+ 0.014296064376831055,
169
+ 0.014289919853210448,
170
+ 0.014054400444030762,
 
 
 
 
 
 
 
 
 
 
 
 
 
171
  0.014014464378356933,
172
+ 0.013837471961975097,
173
+ 0.014285759925842285,
174
+ 0.013973567962646484,
175
+ 0.013956095695495606,
176
+ 0.013850624084472657,
177
+ 0.014049280166625976,
178
+ 0.013824000358581542,
179
+ 0.013940735816955567,
180
+ 0.014009344100952148,
181
+ 0.014079999923706055,
182
+ 0.014106623649597168,
183
+ 0.013994976043701172,
184
+ 0.014206975936889648,
185
+ 0.014018560409545898,
186
+ 0.014038047790527343,
187
+ 0.013902848243713378,
 
 
 
 
 
 
 
 
 
 
 
188
  0.01387929630279541,
189
+ 0.01407590389251709,
190
+ 0.013923328399658203,
191
+ 0.013963264465332031,
192
+ 0.014142560005187989,
193
+ 0.014046208381652832,
194
+ 0.014649312019348144,
195
+ 0.015078399658203125,
196
+ 0.014939135551452636,
197
+ 0.014194687843322755,
198
+ 0.014092288017272948,
199
+ 0.014002176284790039,
200
+ 0.014108672142028808,
201
+ 0.013827072143554688,
202
+ 0.013938688278198242,
203
+ 0.013666303634643554,
204
+ 0.01409126377105713,
205
+ 0.014253087997436523,
206
+ 0.01439027214050293,
207
+ 0.014536704063415527,
208
+ 0.014210047721862793,
209
+ 0.014095359802246094,
210
+ 0.01467903995513916,
211
+ 0.013966336250305175,
212
+ 0.013370368003845215,
213
+ 0.013489151954650879,
214
+ 0.013502464294433594,
215
+ 0.013892607688903809,
216
+ 0.013794303894042969,
217
+ 0.013664256095886231,
218
+ 0.013757439613342285,
219
+ 0.01349836826324463,
220
+ 0.013510656356811524,
221
+ 0.01346457576751709,
222
+ 0.013443008422851562,
223
+ 0.013394047737121582,
224
+ 0.013492064476013184,
225
+ 0.013593600273132325,
226
+ 0.013569184303283691,
227
+ 0.013473695755004882
228
  ]
229
  },
230
  "throughput": {
231
  "unit": "samples/s",
232
+ "value": 71.15946763295973
233
  },
234
  "energy": {
235
  "unit": "kWh",
236
+ "cpu": 1.6106660975975584e-07,
237
+ "ram": 8.798254001176066e-08,
238
+ "gpu": 3.3465492237837836e-07,
239
+ "total": 5.837040721498949e-07
240
  },
241
  "efficiency": {
242
  "unit": "samples/kWh",
243
+ "value": 1713196.8881368374
244
  }
245
  }
246
  }