IlyasMoutawwakil HF staff commited on
Commit
8242f45
·
verified ·
1 Parent(s): e71b1e8

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

Browse files
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json CHANGED
@@ -3,7 +3,7 @@
3
  "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
4
  "backend": {
5
  "name": "pytorch",
6
- "version": "2.4.0+cu124",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "token-classification",
9
  "library": "transformers",
@@ -104,7 +104,7 @@
104
  "load": {
105
  "memory": {
106
  "unit": "MB",
107
- "max_ram": 772.886528,
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": 7.42455419921875,
117
- "mean": 7.42455419921875,
118
  "stdev": 0.0,
119
- "p50": 7.42455419921875,
120
- "p90": 7.42455419921875,
121
- "p95": 7.42455419921875,
122
- "p99": 7.42455419921875,
123
  "values": [
124
- 7.42455419921875
125
  ]
126
  },
127
  "throughput": null,
128
  "energy": {
129
  "unit": "kWh",
130
- "cpu": 1.1252684152781554e-06,
131
- "ram": 5.742349074075967e-07,
132
- "gpu": 1.6880569060004347e-06,
133
- "total": 3.3875602286861866e-06
134
  },
135
  "efficiency": null
136
  },
137
  "forward": {
138
  "memory": {
139
  "unit": "MB",
140
- "max_ram": 1160.577024,
141
  "max_global_vram": 1434.976256,
142
  "max_process_vram": 0.0,
143
  "max_reserved": 794.820608,
@@ -146,102 +146,102 @@
146
  "latency": {
147
  "unit": "s",
148
  "count": 72,
149
- "total": 1.0092000026702879,
150
- "mean": 0.014016666703753998,
151
- "stdev": 0.00033440034815651566,
152
- "p50": 0.013904384136199951,
153
- "p90": 0.014458777809143066,
154
- "p95": 0.014745139122009277,
155
- "p99": 0.015167487783432009,
156
  "values": [
157
- 0.015385600090026855,
158
- 0.014938112258911132,
159
- 0.0142673921585083,
160
- 0.01430835247039795,
161
- 0.014466048240661621,
162
- 0.014551039695739745,
163
- 0.014393343925476074,
164
- 0.015078399658203125,
165
- 0.014699520111083985,
166
- 0.014800895690917968,
167
- 0.014502880096435546,
168
- 0.014019583702087402,
169
- 0.013894687652587891,
170
- 0.014021632194519042,
171
- 0.013840383529663085,
172
- 0.013876223564147949,
173
- 0.01387110424041748,
174
- 0.01377894401550293,
175
- 0.013783040046691895,
176
- 0.013830143928527832,
177
- 0.014106623649597168,
178
- 0.014035967826843262,
179
- 0.01389568042755127,
180
- 0.013837311744689941,
181
- 0.013997056007385255,
182
- 0.013851648330688476,
183
- 0.013765631675720215,
184
- 0.01386291217803955,
185
- 0.014016511917114258,
186
- 0.013763584136962891,
187
- 0.013731840133666993,
188
- 0.01381984043121338,
189
- 0.01377791976928711,
190
- 0.014323712348937988,
191
- 0.014034943580627441,
192
- 0.013997056007385255,
193
- 0.013821951866149903,
194
- 0.013894656181335448,
195
- 0.013741024017333984,
196
- 0.013706208229064942,
197
- 0.013784064292907714,
198
- 0.013613056182861329,
199
- 0.013455360412597657,
200
- 0.01364076805114746,
201
- 0.013784064292907714,
202
- 0.013832192420959472,
203
- 0.014193663597106934,
204
- 0.014271488189697265,
205
- 0.01409222412109375,
206
- 0.01396224021911621,
207
- 0.014055392265319825,
208
- 0.01386905574798584,
209
- 0.013791232109069825,
210
- 0.013856767654418945,
211
- 0.01396016025543213,
212
- 0.013923328399658203,
213
- 0.013953023910522461,
214
- 0.014026752471923828,
215
- 0.014021632194519042,
216
- 0.0139202880859375,
217
- 0.013969408035278321,
218
- 0.013881343841552735,
219
- 0.013880319595336914,
220
- 0.013931520462036133,
221
- 0.013906944274902343,
222
- 0.01391312026977539,
223
  0.01387007999420166,
224
- 0.013964287757873535,
225
- 0.01390182399749756,
 
 
 
 
226
  0.013900799751281738,
227
- 0.01389568042755127,
228
- 0.013888511657714844
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
229
  ]
230
  },
231
  "throughput": {
232
  "unit": "samples/s",
233
- "value": 71.34363833679345
234
  },
235
  "energy": {
236
  "unit": "kWh",
237
- "cpu": 1.6366904216134117e-07,
238
- "ram": 8.939369942318906e-08,
239
- "gpu": 3.4646907473972963e-07,
240
- "total": 5.995318163242598e-07
241
  },
242
  "efficiency": {
243
  "unit": "samples/kWh",
244
- "value": 1667968.1924656103
245
  }
246
  }
247
  }
 
3
  "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
4
  "backend": {
5
  "name": "pytorch",
6
+ "version": "2.4.1+cu124",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "token-classification",
9
  "library": "transformers",
 
104
  "load": {
105
  "memory": {
106
  "unit": "MB",
107
+ "max_ram": 772.550656,
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": 7.38680322265625,
117
+ "mean": 7.38680322265625,
118
  "stdev": 0.0,
119
+ "p50": 7.38680322265625,
120
+ "p90": 7.38680322265625,
121
+ "p95": 7.38680322265625,
122
+ "p99": 7.38680322265625,
123
  "values": [
124
+ 7.38680322265625
125
  ]
126
  },
127
  "throughput": null,
128
  "energy": {
129
  "unit": "kWh",
130
+ "cpu": 1.1193365840275268e-06,
131
+ "ram": 5.763620537739549e-07,
132
+ "gpu": 1.6233346319992695e-06,
133
+ "total": 3.3190332698007513e-06
134
  },
135
  "efficiency": null
136
  },
137
  "forward": {
138
  "memory": {
139
  "unit": "MB",
140
+ "max_ram": 1160.695808,
141
  "max_global_vram": 1434.976256,
142
  "max_process_vram": 0.0,
143
  "max_reserved": 794.820608,
 
146
  "latency": {
147
  "unit": "s",
148
  "count": 72,
149
+ "total": 1.0002135992050172,
150
+ "mean": 0.013891855544514128,
151
+ "stdev": 0.0005245095814738181,
152
+ "p50": 0.013868032455444336,
153
+ "p90": 0.01408727035522461,
154
+ "p95": 0.014778163433074955,
155
+ "p99": 0.01594256401062012,
156
  "values": [
157
+ 0.016072704315185548,
158
+ 0.015889408111572266,
159
+ 0.015490048408508301,
160
+ 0.01567743968963623,
161
+ 0.013750271797180176,
162
+ 0.013420543670654296,
163
+ 0.013384703636169434,
164
+ 0.013379584312438965,
165
+ 0.013459456443786622,
166
+ 0.01349120044708252,
167
+ 0.013279232025146484,
168
+ 0.013370368003845215,
169
+ 0.013317119598388672,
170
+ 0.013586432456970214,
171
+ 0.013411328315734864,
172
+ 0.013329407691955567,
173
+ 0.013301728248596191,
174
+ 0.013515775680541992,
175
+ 0.013203455924987792,
176
+ 0.013213695526123047,
177
+ 0.013244416236877441,
178
+ 0.013379584312438965,
179
+ 0.014195712089538574,
180
+ 0.014158847808837891,
181
+ 0.013939711570739746,
182
+ 0.013919232368469238,
183
+ 0.013847552299499511,
184
+ 0.013913087844848633,
185
+ 0.013868032455444336,
186
+ 0.014048255920410157,
187
+ 0.013916223526000977,
188
+ 0.013841407775878906,
189
+ 0.013928447723388672,
190
+ 0.01386188793182373,
191
+ 0.013845503807067871,
192
+ 0.014009344100952148,
193
+ 0.013846528053283692,
194
+ 0.013808639526367187,
195
+ 0.01395199966430664,
196
+ 0.013811712265014648,
197
+ 0.013888544082641601,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
198
  0.01387007999420166,
199
+ 0.01398476791381836,
200
+ 0.013839360237121581,
201
+ 0.013853695869445801,
202
+ 0.013854720115661622,
203
+ 0.01380352020263672,
204
+ 0.013917183876037598,
205
  0.013900799751281738,
206
+ 0.014058496475219727,
207
+ 0.014078975677490235,
208
+ 0.013868032455444336,
209
+ 0.014088191986083985,
210
+ 0.013923328399658203,
211
+ 0.014172160148620605,
212
+ 0.01394380760192871,
213
+ 0.013848575592041015,
214
+ 0.013858816146850587,
215
+ 0.013923328399658203,
216
+ 0.01397657585144043,
217
+ 0.01387929630279541,
218
+ 0.013808639526367187,
219
+ 0.013856767654418945,
220
+ 0.013917183876037598,
221
+ 0.013833215713500976,
222
+ 0.013920255661010742,
223
+ 0.013868063926696777,
224
+ 0.013928447723388672,
225
+ 0.013855744361877441,
226
+ 0.013888511657714844,
227
+ 0.01390182399749756,
228
+ 0.014022656440734863
229
  ]
230
  },
231
  "throughput": {
232
  "unit": "samples/s",
233
+ "value": 71.98462414150991
234
  },
235
  "energy": {
236
  "unit": "kWh",
237
+ "cpu": 1.5905534270371358e-07,
238
+ "ram": 8.68912881919565e-08,
239
+ "gpu": 3.390150860266746e-07,
240
+ "total": 5.849617169223446e-07
241
  },
242
  "efficiency": {
243
  "unit": "samples/kWh",
244
+ "value": 1709513.5819507877
245
  }
246
  }
247
  }