BLU B160V vs BLU B160V
| BLU B160V | BLU B160V | Difference | |
|---|---|---|---|
| Single Precision | 176 | 176 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Half Precision | 181 | 181 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Quantized | 191 | 191 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
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) | 79 | 79 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Classification (HP) | 89 | 89 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Classification (Q) | 134 | 134 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Segmentation (SP) | 122 | 122 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Segmentation (HP) | 117 | 117 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Segmentation (Q) | 191 | 191 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Pose Estimation (SP) | 411 | 411 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Pose Estimation (HP) | 426 | 426 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Pose Estimation (Q) | 277 | 277 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Object Detection (SP) | 80 | 80 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Object Detection (HP) | 81 | 81 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Object Detection (Q) | 113 | 113 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Face Detection (SP) | 157 | 157 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Face Detection (HP) | 206 | 206 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Face Detection (Q) | 214 | 214 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Depth Estimation (SP) | 315 | 315 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Depth Estimation (HP) | 317 | 317 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Depth Estimation (Q) | 313 | 313 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Style Transfer (SP) | 635 | 635 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Style Transfer (HP) | 768 | 768 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Style Transfer (Q) | 569 | 569 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Super-Resolution (SP) | 146 | 146 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Super-Resolution (HP) | 111 | 111 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Super-Resolution (Q) | 193 | 193 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Text Classification (SP) | 110 | 110 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Text Classification (HP) | 109 | 109 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Text Classification (Q) | 134 | 134 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Machine Translation (SP) | 187 | 187 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Machine Translation (HP) | 181 | 181 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Machine Translation (Q) | 86 | 86 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
