BLU B160V vs BLU B160V
| BLU B160V | BLU B160V | Difference | |
|---|---|---|---|
| Single Precision | 52 | 52 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Half Precision | 53 | 53 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Quantized | 38 | 38 | 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 | GPU | GPU |
| 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) | 30 | 30 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Classification (HP) | 30 | 30 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Classification (Q) | 26 | 26 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Segmentation (SP) | 37 | 37 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Segmentation (HP) | 37 | 37 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Segmentation (Q) | 35 | 35 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Pose Estimation (SP) | 161 | 161 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Pose Estimation (HP) | 160 | 160 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Pose Estimation (Q) | 151 | 151 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Object Detection (SP) | 29 | 29 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Object Detection (HP) | 29 | 29 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Object Detection (Q) | 25 | 25 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Face Detection (SP) | 98 | 98 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Face Detection (HP) | 98 | 98 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Face Detection (Q) | 82 | 82 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Depth Estimation (SP) | 73 | 73 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Depth Estimation (HP) | 103 | 103 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Depth Estimation (Q) | 56 | 56 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Style Transfer (SP) | 273 | 273 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Style Transfer (HP) | 247 | 247 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Style Transfer (Q) | 258 | 258 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Super-Resolution (SP) | 68 | 68 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Super-Resolution (HP) | 69 | 69 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Super-Resolution (Q) | 62 | 62 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Text Classification (SP) | 4 | 4 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Text Classification (HP) | 4 | 4 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Text Classification (Q) | 3 | 3 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Machine Translation (SP) | 56 | 56 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Machine Translation (HP) | 55 | 55 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Machine Translation (Q) | 10 | 10 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
