HONOR DNY-NX9 vs HONOR DNY-NX9
| HONOR DNY-NX9 | HONOR DNY-NX9 | Difference | |
|---|---|---|---|
| Single Precision | 345 | 345 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Half Precision | 544 | 544 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Quantized | 495 | 495 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| HONOR DNY-NX9 | HONOR DNY-NX9 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | HONOR DNY-NX9 | HONOR DNY-NX9 |
| 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 3405 revision 1 | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Motherboard | crow | crow |
| Memory | 11.12 GB | 11.12 GB |
AI Performance
| HONOR DNY-NX9 | HONOR DNY-NX9 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 318 | 318 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Image Classification (HP) | 450 | 450 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Image Classification (Q) | 349 | 349 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Image Segmentation (SP) | 548 | 548 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Image Segmentation (HP) | 876 | 876 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Image Segmentation (Q) | 732 | 732 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Pose Estimation (SP) | 341 | 341 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Pose Estimation (HP) | 724 | 724 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Pose Estimation (Q) | 724 | 724 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Object Detection (SP) | 246 | 246 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Object Detection (HP) | 360 | 360 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Object Detection (Q) | 359 | 359 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Face Detection (SP) | 1010 | 1010 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Face Detection (HP) | 1468 | 1468 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Face Detection (Q) | 1264 | 1264 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Depth Estimation (SP) | 674 | 674 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Depth Estimation (HP) | 1310 | 1310 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Depth Estimation (Q) | 1071 | 1071 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Style Transfer (SP) | 1669 | 1669 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Style Transfer (HP) | 3680 | 3680 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Style Transfer (Q) | 3651 | 3651 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Image Super-Resolution (SP) | 208 | 208 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Image Super-Resolution (HP) | 304 | 304 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Image Super-Resolution (Q) | 298 | 298 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Text Classification (SP) | 63 | 63 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Text Classification (HP) | 62 | 62 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Text Classification (Q) | 88 | 88 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Machine Translation (SP) | 112 | 112 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Machine Translation (HP) | 167 | 167 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
| Machine Translation (Q) | 104 | 104 | 100.0% |
| HONOR DNY-NX9 | |||
| HONOR DNY-NX9 | |||
