vivo V2109 | vivo V2109 | Difference | |
---|---|---|---|
Single Precision | 217 | 217 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Half Precision | 214 | 214 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Quantized | 293 | 293 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Geekbench AI 1.2.0 | Geekbench AI 1.2.0 |
vivo V2109 | vivo V2109 | |
---|---|---|
AI Framework | TensorFlow Lite | TensorFlow Lite |
AI Backend | CPU | CPU |
AI Device | ARM MT6769V/CU | ARM MT6769V/CU |
Operating System | Android 13 | Android 13 |
Model | vivo V2109 | vivo V2109 |
Processor |
ARM MT6769V/CU @ 1.80 GHz
1 Processor, 8 Cores |
ARM MT6769V/CU @ 1.80 GHz
1 Processor, 8 Cores |
Processor ID | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
Motherboard | k69v1_64 | k69v1_64 |
Memory | 3.63 GB | 3.63 GB |
vivo V2109 | vivo V2109 | Difference | |
---|---|---|---|
Image Classification (SP) | 99 | 99 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Image Classification (HP) | 92 | 92 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Image Classification (Q) | 194 | 194 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Image Segmentation (SP) | 118 | 118 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Image Segmentation (HP) | 119 | 119 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Image Segmentation (Q) | 249 | 249 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Pose Estimation (SP) | 480 | 480 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Pose Estimation (HP) | 485 | 485 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Pose Estimation (Q) | 412 | 412 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Object Detection (SP) | 92 | 92 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Object Detection (HP) | 92 | 92 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Object Detection (Q) | 193 | 193 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Face Detection (SP) | 289 | 289 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Face Detection (HP) | 294 | 294 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Face Detection (Q) | 516 | 516 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Depth Estimation (SP) | 395 | 395 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Depth Estimation (HP) | 395 | 395 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Depth Estimation (Q) | 435 | 435 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Style Transfer (SP) | 790 | 790 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Style Transfer (HP) | 787 | 787 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Style Transfer (Q) | 1062 | 1062 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Image Super-Resolution (SP) | 219 | 219 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Image Super-Resolution (HP) | 210 | 210 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Image Super-Resolution (Q) | 223 | 223 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Text Classification (SP) | 109 | 109 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Text Classification (HP) | 107 | 107 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Text Classification (Q) | 172 | 172 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Machine Translation (SP) | 211 | 211 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Machine Translation (HP) | 208 | 208 | 100.0% |
vivo V2109 | |||
vivo V2109 | |||
Machine Translation (Q) | 136 | 136 | 100.0% |
vivo V2109 | |||
vivo V2109 |