SHARP A501SH vs SHARP A501SH
| SHARP A501SH | SHARP A501SH | Difference | |
|---|---|---|---|
| Single Precision | 430 | 430 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Half Precision | 426 | 426 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Quantized | 25723 | 25723 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| SHARP A501SH | SHARP A501SH | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | QNN | QNN |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | SHARP A501SH | SHARP A501SH |
| Processor |
ARM ARMv8 @ 1.90 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.90 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Motherboard | Lockon | Lockon |
| Memory | 11.09 GB | 11.09 GB |
AI Performance
| SHARP A501SH | SHARP A501SH | Difference | |
|---|---|---|---|
| Image Classification (SP) | 272 | 272 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Image Classification (HP) | 272 | 272 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Image Classification (Q) | 21331 | 21331 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Image Segmentation (SP) | 342 | 342 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Image Segmentation (HP) | 344 | 344 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Image Segmentation (Q) | 18256 | 18256 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Pose Estimation (SP) | 471 | 471 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Pose Estimation (HP) | 432 | 432 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Pose Estimation (Q) | 139647 | 139647 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Object Detection (SP) | 254 | 254 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Object Detection (HP) | 254 | 254 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Object Detection (Q) | 10855 | 10855 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Face Detection (SP) | 614 | 614 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Face Detection (HP) | 619 | 619 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Face Detection (Q) | 60085 | 60085 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Depth Estimation (SP) | 547 | 547 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Depth Estimation (HP) | 548 | 548 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Depth Estimation (Q) | 56519 | 56519 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Style Transfer (SP) | 907 | 907 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Style Transfer (HP) | 907 | 907 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Style Transfer (Q) | 203634 | 203634 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Image Super-Resolution (SP) | 276 | 276 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Image Super-Resolution (HP) | 275 | 275 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Image Super-Resolution (Q) | 38656 | 38656 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Text Classification (SP) | 387 | 387 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Text Classification (HP) | 380 | 380 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Text Classification (Q) | 5338 | 5338 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Machine Translation (SP) | 602 | 602 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Machine Translation (HP) | 600 | 600 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
| Machine Translation (Q) | 1506 | 1506 | 100.0% |
| SHARP A501SH | |||
| SHARP A501SH | |||
