Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
Browse files
cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json
CHANGED
@@ -3,7 +3,7 @@
|
|
3 |
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
-
"version": "2.
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "image-classification",
|
9 |
"model": "google/vit-base-patch16-224",
|
@@ -78,7 +78,7 @@
|
|
78 |
"machine": "x86_64",
|
79 |
"platform": "Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35",
|
80 |
"processor": "x86_64",
|
81 |
-
"python_version": "3.10.
|
82 |
"gpu": [
|
83 |
"NVIDIA A10G"
|
84 |
],
|
@@ -104,7 +104,7 @@
|
|
104 |
"forward": {
|
105 |
"memory": {
|
106 |
"unit": "MB",
|
107 |
-
"max_ram":
|
108 |
"max_global_vram": 1057.488896,
|
109 |
"max_process_vram": 0.0,
|
110 |
"max_reserved": 406.847488,
|
@@ -112,215 +112,200 @@
|
|
112 |
},
|
113 |
"latency": {
|
114 |
"unit": "s",
|
115 |
-
"count":
|
116 |
-
"total": 1.
|
117 |
-
"mean": 0.
|
118 |
-
"stdev": 0.
|
119 |
-
"p50": 0.
|
120 |
-
"p90": 0.
|
121 |
-
"p95": 0.
|
122 |
-
"p99": 0.
|
123 |
"values": [
|
124 |
-
0.
|
125 |
-
0.
|
126 |
-
0.
|
127 |
-
0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
128 |
0.006158336162567139,
|
129 |
-
0.
|
130 |
-
0.
|
131 |
-
0.
|
132 |
-
0.
|
133 |
-
0.
|
134 |
-
0.
|
135 |
-
0.
|
136 |
-
0.
|
137 |
-
0.
|
138 |
-
0.
|
139 |
-
0.
|
140 |
-
0.
|
141 |
-
0.
|
142 |
-
0.
|
143 |
-
0.
|
144 |
-
0.
|
145 |
-
0.
|
146 |
-
0.
|
147 |
-
0.
|
148 |
-
0.
|
149 |
-
0.
|
150 |
-
0.
|
151 |
-
0.
|
152 |
-
0.
|
153 |
-
0.
|
154 |
-
0.
|
155 |
-
0.
|
156 |
-
0.
|
157 |
-
0.
|
158 |
-
0.
|
159 |
-
0.
|
160 |
-
0.
|
161 |
-
0.
|
162 |
-
0.
|
163 |
-
0.
|
164 |
-
0.
|
165 |
-
0.
|
166 |
-
0.
|
167 |
-
0.
|
168 |
-
0.
|
169 |
-
0.
|
170 |
-
0.
|
171 |
-
0.
|
172 |
-
0.
|
173 |
-
0.
|
174 |
-
0.
|
175 |
-
0.
|
176 |
-
0.
|
177 |
-
0.
|
178 |
-
0.
|
179 |
-
0.
|
180 |
-
0.
|
181 |
-
0.
|
182 |
-
0.
|
183 |
-
0.
|
184 |
-
0.
|
185 |
-
0.
|
186 |
-
0.
|
187 |
-
0.
|
188 |
-
0.
|
189 |
-
0.
|
190 |
-
0.
|
191 |
-
0.
|
192 |
-
0.
|
193 |
-
0.
|
194 |
-
0.
|
195 |
-
0.
|
196 |
-
0.
|
197 |
-
0.
|
198 |
-
0.
|
199 |
-
0.
|
200 |
-
0.
|
201 |
-
0.
|
202 |
-
0.
|
203 |
-
0.
|
204 |
-
0.
|
205 |
-
0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
206 |
0.006001664161682129,
|
207 |
-
0.
|
208 |
-
0.
|
209 |
-
0.
|
210 |
-
0.
|
211 |
-
0.
|
212 |
-
0.
|
213 |
-
0.
|
214 |
-
0.
|
215 |
-
0.
|
216 |
-
0.
|
217 |
-
0.
|
218 |
-
0.
|
219 |
-
0.
|
220 |
-
0.
|
221 |
-
0.
|
222 |
-
0.
|
223 |
-
0.
|
224 |
-
0.
|
225 |
-
0.
|
226 |
-
0.
|
227 |
-
0.
|
228 |
-
0.
|
229 |
-
0.
|
230 |
-
0.
|
231 |
-
0.
|
232 |
-
0.
|
233 |
-
0.
|
234 |
-
0.
|
235 |
-
0.
|
236 |
-
0.
|
237 |
-
0.
|
238 |
-
0.
|
239 |
-
0.
|
240 |
-
0.
|
241 |
-
0.
|
242 |
-
0.
|
243 |
-
0.
|
244 |
-
0.
|
245 |
-
0.
|
246 |
-
0.
|
247 |
-
0.
|
248 |
-
0.
|
249 |
-
0.
|
250 |
-
0.
|
251 |
-
0.
|
252 |
-
0.
|
253 |
-
0.
|
254 |
-
0.
|
255 |
-
0.
|
256 |
-
0.
|
257 |
-
0.
|
258 |
-
0.
|
259 |
-
0.
|
260 |
-
0.
|
261 |
-
0.
|
262 |
-
0.
|
263 |
-
0.
|
264 |
-
0.
|
265 |
-
0.
|
266 |
-
0.
|
267 |
-
0.005362688064575195,
|
268 |
-
0.005319680213928223,
|
269 |
-
0.00532480001449585,
|
270 |
-
0.005338111877441406,
|
271 |
-
0.005312511920928955,
|
272 |
-
0.005321728229522705,
|
273 |
-
0.00532480001449585,
|
274 |
-
0.0053309440612792965,
|
275 |
-
0.005535744190216065,
|
276 |
-
0.005462016105651855,
|
277 |
-
0.005385216236114502,
|
278 |
-
0.0054579200744628905,
|
279 |
-
0.005437439918518067,
|
280 |
-
0.005371903896331787,
|
281 |
-
0.005412864208221436,
|
282 |
-
0.005745664119720459,
|
283 |
-
0.0054496641159057614,
|
284 |
-
0.005426176071166992,
|
285 |
-
0.005407743930816651,
|
286 |
-
0.005493760108947754,
|
287 |
-
0.005390336036682129,
|
288 |
-
0.0053944320678710935,
|
289 |
-
0.005403711795806885,
|
290 |
-
0.005656576156616211,
|
291 |
-
0.005495808124542236,
|
292 |
-
0.005444608211517334,
|
293 |
-
0.005392384052276611,
|
294 |
-
0.005453824043273926,
|
295 |
-
0.005387263774871826,
|
296 |
-
0.005409791946411133,
|
297 |
-
0.005375999927520752,
|
298 |
-
0.0053637118339538575,
|
299 |
-
0.005375999927520752,
|
300 |
-
0.005372928142547607,
|
301 |
-
0.005430272102355957,
|
302 |
-
0.005384223937988281,
|
303 |
-
0.005409791946411133,
|
304 |
-
0.0053821439743042,
|
305 |
-
0.005396480083465576,
|
306 |
-
0.005455872058868408,
|
307 |
-
0.005352447986602784
|
308 |
]
|
309 |
},
|
310 |
"throughput": {
|
311 |
"unit": "samples/s",
|
312 |
-
"value":
|
313 |
},
|
314 |
"energy": {
|
315 |
"unit": "kWh",
|
316 |
-
"cpu": 6.
|
317 |
-
"ram": 3.
|
318 |
-
"gpu": 3.
|
319 |
-
"total": 4.
|
320 |
},
|
321 |
"efficiency": {
|
322 |
"unit": "samples/kWh",
|
323 |
-
"value":
|
324 |
}
|
325 |
}
|
326 |
}
|
|
|
3 |
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
+
"version": "2.3.0+cu121",
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "image-classification",
|
9 |
"model": "google/vit-base-patch16-224",
|
|
|
78 |
"machine": "x86_64",
|
79 |
"platform": "Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35",
|
80 |
"processor": "x86_64",
|
81 |
+
"python_version": "3.10.12",
|
82 |
"gpu": [
|
83 |
"NVIDIA A10G"
|
84 |
],
|
|
|
104 |
"forward": {
|
105 |
"memory": {
|
106 |
"unit": "MB",
|
107 |
+
"max_ram": 911.888384,
|
108 |
"max_global_vram": 1057.488896,
|
109 |
"max_process_vram": 0.0,
|
110 |
"max_reserved": 406.847488,
|
|
|
112 |
},
|
113 |
"latency": {
|
114 |
"unit": "s",
|
115 |
+
"count": 169,
|
116 |
+
"total": 1.0005367369651792,
|
117 |
+
"mean": 0.0059203357216874525,
|
118 |
+
"stdev": 0.00019163485696278295,
|
119 |
+
"p50": 0.00587059211730957,
|
120 |
+
"p90": 0.006157516765594482,
|
121 |
+
"p95": 0.006291884708404541,
|
122 |
+
"p99": 0.006449930248260498,
|
123 |
"values": [
|
124 |
+
0.0065146880149841305,
|
125 |
+
0.0061296639442443845,
|
126 |
+
0.006369279861450195,
|
127 |
+
0.0062638077735900875,
|
128 |
+
0.006136703968048096,
|
129 |
+
0.006222655773162842,
|
130 |
+
0.0061562881469726565,
|
131 |
+
0.0062156801223754886,
|
132 |
+
0.00619212818145752,
|
133 |
+
0.005985280036926269,
|
134 |
+
0.006096896171569824,
|
135 |
+
0.006362112045288086,
|
136 |
+
0.006135807991027832,
|
137 |
0.006158336162567139,
|
138 |
+
0.006148096084594727,
|
139 |
+
0.006157311916351318,
|
140 |
+
0.006052864074707031,
|
141 |
+
0.005989376068115234,
|
142 |
+
0.006277120113372803,
|
143 |
+
0.006076416015625,
|
144 |
+
0.005957632064819336,
|
145 |
+
0.005880832195281982,
|
146 |
+
0.005898240089416504,
|
147 |
+
0.005908480167388916,
|
148 |
+
0.006007775783538818,
|
149 |
+
0.005835775852203369,
|
150 |
+
0.006030335903167725,
|
151 |
+
0.005847040176391601,
|
152 |
+
0.005891071796417236,
|
153 |
+
0.005857279777526855,
|
154 |
+
0.005922815799713135,
|
155 |
+
0.0063610877990722655,
|
156 |
+
0.00636518383026123,
|
157 |
+
0.006124544143676758,
|
158 |
+
0.006132736206054688,
|
159 |
+
0.006145023822784424,
|
160 |
+
0.006340608119964599,
|
161 |
+
0.006726528167724609,
|
162 |
+
0.006105088233947754,
|
163 |
+
0.0061337919235229495,
|
164 |
+
0.0059955201148986816,
|
165 |
+
0.006077439785003662,
|
166 |
+
0.005955584049224853,
|
167 |
+
0.0063017277717590334,
|
168 |
+
0.006079487800598145,
|
169 |
+
0.005743775844573975,
|
170 |
+
0.00581324815750122,
|
171 |
+
0.0058787841796875,
|
172 |
+
0.005912576198577881,
|
173 |
+
0.005923840045928955,
|
174 |
+
0.005884928226470947,
|
175 |
+
0.005937151908874512,
|
176 |
+
0.006043647766113281,
|
177 |
+
0.005910528182983398,
|
178 |
+
0.005822463989257813,
|
179 |
+
0.005854207992553711,
|
180 |
+
0.005754879951477051,
|
181 |
+
0.005980160236358643,
|
182 |
+
0.005948416233062744,
|
183 |
+
0.005900288105010986,
|
184 |
+
0.005859327793121338,
|
185 |
+
0.005844992160797119,
|
186 |
+
0.005831583976745606,
|
187 |
+
0.0057794561386108395,
|
188 |
+
0.0057415680885314945,
|
189 |
+
0.005903359889984131,
|
190 |
+
0.005799935817718506,
|
191 |
+
0.005811200141906738,
|
192 |
+
0.006053887844085694,
|
193 |
+
0.005907455921173096,
|
194 |
+
0.005803008079528809,
|
195 |
+
0.005765120029449463,
|
196 |
+
0.005857279777526855,
|
197 |
+
0.005912576198577881,
|
198 |
+
0.005903264045715332,
|
199 |
+
0.006050816059112549,
|
200 |
+
0.00587059211730957,
|
201 |
+
0.00586137580871582,
|
202 |
+
0.00582860803604126,
|
203 |
+
0.005787583827972412,
|
204 |
+
0.0058715839385986325,
|
205 |
+
0.005853184223175049,
|
206 |
+
0.006132736206054688,
|
207 |
+
0.00608460807800293,
|
208 |
+
0.006158336162567139,
|
209 |
+
0.006025216102600098,
|
210 |
+
0.006141952037811279,
|
211 |
+
0.006090816020965576,
|
212 |
+
0.005830783843994141,
|
213 |
+
0.0057712640762329105,
|
214 |
+
0.006039552211761475,
|
215 |
+
0.005720064163208007,
|
216 |
+
0.005755904197692871,
|
217 |
+
0.00561030387878418,
|
218 |
+
0.005672959804534912,
|
219 |
+
0.005980160236358643,
|
220 |
+
0.006108191967010498,
|
221 |
+
0.00587775993347168,
|
222 |
+
0.005698560237884521,
|
223 |
+
0.005811200141906738,
|
224 |
+
0.005751872062683105,
|
225 |
+
0.005795839786529541,
|
226 |
+
0.005873663902282715,
|
227 |
+
0.006121535778045654,
|
228 |
+
0.005874688148498535,
|
229 |
+
0.005942272186279297,
|
230 |
+
0.00601907205581665,
|
231 |
+
0.0062740478515625,
|
232 |
0.006001664161682129,
|
233 |
+
0.005917695999145508,
|
234 |
+
0.005725183963775635,
|
235 |
+
0.006419456005096436,
|
236 |
+
0.006128640174865723,
|
237 |
+
0.005857279777526855,
|
238 |
+
0.005783552169799804,
|
239 |
+
0.005778528213500976,
|
240 |
+
0.005700607776641845,
|
241 |
+
0.005798912048339844,
|
242 |
+
0.005716991901397705,
|
243 |
+
0.005701632022857666,
|
244 |
+
0.005822527885437012,
|
245 |
+
0.005832704067230224,
|
246 |
+
0.005783552169799804,
|
247 |
+
0.005961728096008301,
|
248 |
+
0.005848000049591065,
|
249 |
+
0.0057190399169921875,
|
250 |
+
0.005805056095123291,
|
251 |
+
0.005720064163208007,
|
252 |
+
0.005763072013854981,
|
253 |
+
0.0058009600639343266,
|
254 |
+
0.005758975982666016,
|
255 |
+
0.00576204776763916,
|
256 |
+
0.005894144058227539,
|
257 |
+
0.005766176223754883,
|
258 |
+
0.005765120029449463,
|
259 |
+
0.005790719985961914,
|
260 |
+
0.00577023983001709,
|
261 |
+
0.00581324815750122,
|
262 |
+
0.005723135948181152,
|
263 |
+
0.0058726401329040525,
|
264 |
+
0.005907455921173096,
|
265 |
+
0.0058111357688903804,
|
266 |
+
0.005883903980255127,
|
267 |
+
0.005816319942474365,
|
268 |
+
0.005730303764343261,
|
269 |
+
0.00576204776763916,
|
270 |
+
0.0057712640762329105,
|
271 |
+
0.005751808166503906,
|
272 |
+
0.0057825279235839844,
|
273 |
+
0.005734399795532226,
|
274 |
+
0.005811200141906738,
|
275 |
+
0.0057712640762329105,
|
276 |
+
0.005810175895690918,
|
277 |
+
0.005780479907989502,
|
278 |
+
0.005795839786529541,
|
279 |
+
0.0057149438858032225,
|
280 |
+
0.005786623954772949,
|
281 |
+
0.005755839824676513,
|
282 |
+
0.005690368175506591,
|
283 |
+
0.0057292799949646,
|
284 |
+
0.005633024215698243,
|
285 |
+
0.005687295913696289,
|
286 |
+
0.005687295913696289,
|
287 |
+
0.005702655792236328,
|
288 |
+
0.005772287845611572,
|
289 |
+
0.005782559871673584,
|
290 |
+
0.005739520072937012,
|
291 |
+
0.005725183963775635,
|
292 |
+
0.005814271926879883
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
293 |
]
|
294 |
},
|
295 |
"throughput": {
|
296 |
"unit": "samples/s",
|
297 |
+
"value": 168.90934011339706
|
298 |
},
|
299 |
"energy": {
|
300 |
"unit": "kWh",
|
301 |
+
"cpu": 6.758813755680816e-08,
|
302 |
+
"ram": 3.693851211892251e-08,
|
303 |
+
"gpu": 3.274813225909061e-07,
|
304 |
+
"total": 4.320079722666368e-07
|
305 |
},
|
306 |
"efficiency": {
|
307 |
"unit": "samples/kWh",
|
308 |
+
"value": 2314772.097267679
|
309 |
}
|
310 |
}
|
311 |
}
|