IlyasMoutawwakil HF staff commited on
Commit
e4fbe0b
·
verified ·
1 Parent(s): 445730a

Upload cuda_training_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub

Browse files
cuda_training_transformers_image-classification_google/vit-base-patch16-224/benchmark.json CHANGED
@@ -3,7 +3,7 @@
3
  "name": "cuda_training_transformers_image-classification_google/vit-base-patch16-224",
4
  "backend": {
5
  "name": "pytorch",
6
- "version": "2.3.1+cu121",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "image-classification",
9
  "library": "transformers",
@@ -110,8 +110,8 @@
110
  "overall": {
111
  "memory": {
112
  "unit": "MB",
113
- "max_ram": 1472.561152,
114
- "max_global_vram": 2628.255744,
115
  "max_process_vram": 0.0,
116
  "max_reserved": 1956.642816,
117
  "max_allocated": 1755.291648
@@ -119,24 +119,24 @@
119
  "latency": {
120
  "unit": "s",
121
  "count": 5,
122
- "total": 0.49298534011840817,
123
- "mean": 0.09859706802368164,
124
- "stdev": 0.11700897165213324,
125
- "p50": 0.03998617553710938,
126
- "p90": 0.21576355743408204,
127
- "p95": 0.27418910598754875,
128
- "p99": 0.32092954483032227,
129
  "values": [
130
- 0.33261465454101563,
131
- 0.04048691177368164,
132
- 0.039965694427490234,
133
- 0.03993190383911133,
134
- 0.03998617553710938
135
  ]
136
  },
137
  "throughput": {
138
  "unit": "samples/s",
139
- "value": 101.42289421423911
140
  },
141
  "energy": null,
142
  "efficiency": null
@@ -144,8 +144,8 @@
144
  "warmup": {
145
  "memory": {
146
  "unit": "MB",
147
- "max_ram": 1472.561152,
148
- "max_global_vram": 2628.255744,
149
  "max_process_vram": 0.0,
150
  "max_reserved": 1956.642816,
151
  "max_allocated": 1755.291648
@@ -153,21 +153,21 @@
153
  "latency": {
154
  "unit": "s",
155
  "count": 2,
156
- "total": 0.37310156631469726,
157
- "mean": 0.18655078315734863,
158
- "stdev": 0.146063871383667,
159
- "p50": 0.18655078315734863,
160
- "p90": 0.3034018802642822,
161
- "p95": 0.3180082674026489,
162
- "p99": 0.3296933771133423,
163
  "values": [
164
- 0.33261465454101563,
165
- 0.04048691177368164
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "samples/s",
170
- "value": 21.44188264611116
171
  },
172
  "energy": null,
173
  "efficiency": null
@@ -175,8 +175,8 @@
175
  "train": {
176
  "memory": {
177
  "unit": "MB",
178
- "max_ram": 1472.561152,
179
- "max_global_vram": 2628.255744,
180
  "max_process_vram": 0.0,
181
  "max_reserved": 1956.642816,
182
  "max_allocated": 1755.291648
@@ -184,22 +184,22 @@
184
  "latency": {
185
  "unit": "s",
186
  "count": 3,
187
- "total": 0.11988377380371093,
188
- "mean": 0.03996125793457031,
189
- "stdev": 2.2377312215266386e-05,
190
- "p50": 0.039965694427490234,
191
- "p90": 0.03998207931518555,
192
- "p95": 0.03998412742614746,
193
- "p99": 0.039985765914916996,
194
  "values": [
195
- 0.039965694427490234,
196
- 0.03993190383911133,
197
- 0.03998617553710938
198
  ]
199
  },
200
  "throughput": {
201
  "unit": "samples/s",
202
- "value": 150.14542359562276
203
  },
204
  "energy": null,
205
  "efficiency": null
 
3
  "name": "cuda_training_transformers_image-classification_google/vit-base-patch16-224",
4
  "backend": {
5
  "name": "pytorch",
6
+ "version": "2.4.0+cu121",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "image-classification",
9
  "library": "transformers",
 
110
  "overall": {
111
  "memory": {
112
  "unit": "MB",
113
+ "max_ram": 1502.892032,
114
+ "max_global_vram": 2611.478528,
115
  "max_process_vram": 0.0,
116
  "max_reserved": 1956.642816,
117
  "max_allocated": 1755.291648
 
119
  "latency": {
120
  "unit": "s",
121
  "count": 5,
122
+ "total": 0.4834078826904297,
123
+ "mean": 0.09668157653808594,
124
+ "stdev": 0.113805049816189,
125
+ "p50": 0.039760894775390625,
126
+ "p90": 0.21055591125488288,
127
+ "p95": 0.2674237533569336,
128
+ "p99": 0.31291802703857424,
129
  "values": [
130
+ 0.3242915954589844,
131
+ 0.03995238494873047,
132
+ 0.03974348831176758,
133
+ 0.039760894775390625,
134
+ 0.03965951919555664
135
  ]
136
  },
137
  "throughput": {
138
  "unit": "samples/s",
139
+ "value": 103.43232245556818
140
  },
141
  "energy": null,
142
  "efficiency": null
 
144
  "warmup": {
145
  "memory": {
146
  "unit": "MB",
147
+ "max_ram": 1502.892032,
148
+ "max_global_vram": 2611.478528,
149
  "max_process_vram": 0.0,
150
  "max_reserved": 1956.642816,
151
  "max_allocated": 1755.291648
 
153
  "latency": {
154
  "unit": "s",
155
  "count": 2,
156
+ "total": 0.3642439804077149,
157
+ "mean": 0.18212199020385744,
158
+ "stdev": 0.14216960525512698,
159
+ "p50": 0.18212199020385744,
160
+ "p90": 0.295857674407959,
161
+ "p95": 0.3100746349334717,
162
+ "p99": 0.32144820335388186,
163
  "values": [
164
+ 0.3242915954589844,
165
+ 0.03995238494873047
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "samples/s",
170
+ "value": 21.96330050820671
171
  },
172
  "energy": null,
173
  "efficiency": null
 
175
  "train": {
176
  "memory": {
177
  "unit": "MB",
178
+ "max_ram": 1502.892032,
179
+ "max_global_vram": 2611.478528,
180
  "max_process_vram": 0.0,
181
  "max_reserved": 1956.642816,
182
  "max_allocated": 1755.291648
 
184
  "latency": {
185
  "unit": "s",
186
  "count": 3,
187
+ "total": 0.11916390228271484,
188
+ "mean": 0.039721300760904944,
189
+ "stdev": 4.4260347992536534e-05,
190
+ "p50": 0.03974348831176758,
191
+ "p90": 0.03975741348266602,
192
+ "p95": 0.03975915412902832,
193
+ "p99": 0.03976054664611817,
194
  "values": [
195
+ 0.03974348831176758,
196
+ 0.039760894775390625,
197
+ 0.03965951919555664
198
  ]
199
  },
200
  "throughput": {
201
  "unit": "samples/s",
202
+ "value": 151.05245510754784
203
  },
204
  "energy": null,
205
  "efficiency": null