BLU B160V vs BLU B160V
| BLU B160V | BLU B160V | Difference | |
|---|---|---|---|
| Single Precision | 190 | 190 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Half Precision | 182 | 182 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Quantized | 207 | 207 | 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) | 95 | 95 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Classification (HP) | 97 | 97 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Classification (Q) | 146 | 146 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Segmentation (SP) | 104 | 104 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Segmentation (HP) | 72 | 72 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Segmentation (Q) | 99 | 99 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Pose Estimation (SP) | 250 | 250 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Pose Estimation (HP) | 257 | 257 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Pose Estimation (Q) | 300 | 300 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Object Detection (SP) | 98 | 98 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Object Detection (HP) | 102 | 102 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Object Detection (Q) | 147 | 147 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Face Detection (SP) | 254 | 254 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Face Detection (HP) | 224 | 224 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Face Detection (Q) | 399 | 399 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Depth Estimation (SP) | 341 | 341 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Depth Estimation (HP) | 334 | 334 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Depth Estimation (Q) | 345 | 345 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Style Transfer (SP) | 868 | 868 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Style Transfer (HP) | 865 | 865 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Style Transfer (Q) | 816 | 816 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Super-Resolution (SP) | 181 | 181 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Super-Resolution (HP) | 182 | 182 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Image Super-Resolution (Q) | 192 | 192 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Text Classification (SP) | 105 | 105 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Text Classification (HP) | 104 | 104 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Text Classification (Q) | 129 | 129 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Machine Translation (SP) | 180 | 180 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Machine Translation (HP) | 180 | 180 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
| Machine Translation (Q) | 85 | 85 | 100.0% |
| BLU B160V | |||
| BLU B160V | |||
