BLU B160V vs BLU B160V
| BLU B160V | BLU B160V | Difference | |
|---|---|---|---|
| Single Precision | 181 | 181 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Half Precision | 182 | 182 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Quantized | 170 | 170 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| BLU B160V | BLU B160V | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM MT6761 | ARM MT6761 |
| Operating System | Android 14 | Android 14 |
| Model | BLU B160V | BLU B160V |
| Processor |
ARM MT6761 @ 2.00 GHz
1 Processor, 4 Cores |
ARM MT6761 @ 2.00 GHz
1 Processor, 4 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Motherboard | B160V | B160V |
| Memory | 2.75 GB | 2.75 GB |
AI Performance
| BLU B160V | BLU B160V | Difference | |
|---|---|---|---|
| Image Classification (SP) | 84 | 84 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Classification (HP) | 86 | 86 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Classification (Q) | 104 | 104 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Segmentation (SP) | 111 | 111 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Segmentation (HP) | 108 | 108 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Segmentation (Q) | 154 | 154 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Pose Estimation (SP) | 435 | 435 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Pose Estimation (HP) | 434 | 434 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Pose Estimation (Q) | 292 | 292 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Object Detection (SP) | 91 | 91 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Object Detection (HP) | 92 | 92 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Object Detection (Q) | 131 | 131 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Face Detection (SP) | 224 | 224 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Face Detection (HP) | 222 | 222 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Face Detection (Q) | 349 | 349 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Depth Estimation (SP) | 295 | 295 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Depth Estimation (HP) | 292 | 292 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Depth Estimation (Q) | 295 | 295 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Style Transfer (SP) | 768 | 768 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Style Transfer (HP) | 741 | 741 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Style Transfer (Q) | 714 | 714 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Super-Resolution (SP) | 152 | 152 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Super-Resolution (HP) | 156 | 156 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Super-Resolution (Q) | 159 | 159 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Text Classification (SP) | 93 | 93 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Text Classification (HP) | 95 | 95 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Text Classification (Q) | 40 | 40 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Machine Translation (SP) | 148 | 148 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Machine Translation (HP) | 152 | 152 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Machine Translation (Q) | 74 | 74 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
