HONOR BRP-NX1M vs HONOR BRP-NX1M
| HONOR BRP-NX1M | HONOR BRP-NX1M | Difference | |
|---|---|---|---|
| Single Precision | 196 | 196 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Half Precision | 196 | 196 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Quantized | 7909 | 7909 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| HONOR BRP-NX1M | HONOR BRP-NX1M | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | QNN | QNN |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | HONOR BRP-NX1M | HONOR BRP-NX1M |
| Processor |
ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Motherboard | parrot | parrot |
| Memory | 7.29 GB | 7.29 GB |
AI Performance
| HONOR BRP-NX1M | HONOR BRP-NX1M | Difference | |
|---|---|---|---|
| Image Classification (SP) | 114 | 114 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Image Classification (HP) | 116 | 116 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Image Classification (Q) | 7399 | 7399 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Image Segmentation (SP) | 155 | 155 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Image Segmentation (HP) | 155 | 155 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Image Segmentation (Q) | 5763 | 5763 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Pose Estimation (SP) | 208 | 208 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Pose Estimation (HP) | 207 | 207 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Pose Estimation (Q) | 20785 | 20785 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Object Detection (SP) | 114 | 114 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Object Detection (HP) | 114 | 114 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Object Detection (Q) | 3661 | 3661 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Face Detection (SP) | 294 | 294 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Face Detection (HP) | 297 | 297 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Face Detection (Q) | 21111 | 21111 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Depth Estimation (SP) | 252 | 252 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Depth Estimation (HP) | 251 | 251 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Depth Estimation (Q) | 16438 | 16438 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Style Transfer (SP) | 443 | 443 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Style Transfer (HP) | 444 | 444 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Style Transfer (Q) | 43863 | 43863 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Image Super-Resolution (SP) | 125 | 125 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Image Super-Resolution (HP) | 127 | 127 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Image Super-Resolution (Q) | 11121 | 11121 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Text Classification (SP) | 173 | 173 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Text Classification (HP) | 174 | 174 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Text Classification (Q) | 2705 | 2705 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Machine Translation (SP) | 282 | 282 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Machine Translation (HP) | 282 | 282 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
| Machine Translation (Q) | 645 | 645 | 100.0% |
| HONOR BRP-NX1M | |||
| HONOR BRP-NX1M | |||
