BLU B160V vs BLU B160V
| BLU B160V | BLU B160V | Difference | |
|---|---|---|---|
| Single Precision | 134 | 134 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Half Precision | 162 | 162 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Quantized | 168 | 168 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
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) | 38 | 38 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Classification (HP) | 83 | 83 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Classification (Q) | 129 | 129 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Segmentation (SP) | 120 | 120 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Segmentation (HP) | 122 | 122 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Segmentation (Q) | 189 | 189 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Pose Estimation (SP) | 419 | 419 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Pose Estimation (HP) | 438 | 438 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Pose Estimation (Q) | 260 | 260 | 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) | 137 | 137 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Face Detection (SP) | 228 | 228 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Face Detection (HP) | 223 | 223 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Face Detection (Q) | 374 | 374 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Depth Estimation (SP) | 308 | 308 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Depth Estimation (HP) | 266 | 266 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Depth Estimation (Q) | 295 | 295 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Style Transfer (SP) | 755 | 755 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Style Transfer (HP) | 795 | 795 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Style Transfer (Q) | 734 | 734 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Super-Resolution (SP) | 95 | 95 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Super-Resolution (HP) | 103 | 103 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Super-Resolution (Q) | 90 | 90 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Text Classification (SP) | 36 | 36 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Text Classification (HP) | 43 | 43 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Text Classification (Q) | 38 | 38 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Machine Translation (SP) | 60 | 60 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Machine Translation (HP) | 150 | 150 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Machine Translation (Q) | 75 | 75 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
