SHARP SH-M30 vs SHARP SH-M30
| SHARP SH-M30 | SHARP SH-M30 | Difference | |
|---|---|---|---|
| Single Precision | 1198 | 1198 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Half Precision | 1420 | 1420 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Quantized | 2018 | 2018 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Geekbench AI 1.6.1 | Geekbench AI 1.6.1 | ||
System Information
| SHARP SH-M30 | SHARP SH-M30 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | SHARP SH-M30 | SHARP SH-M30 |
| Processor |
ARM ARMv8 @ 2.02 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.02 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 | Mikazuki | Mikazuki |
| Memory | 11.09 GB | 11.09 GB |
AI Performance
| SHARP SH-M30 | SHARP SH-M30 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1176 | 1176 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Image Classification (HP) | 713 | 713 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Image Classification (Q) | 2216 | 2216 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Image Segmentation (SP) | 727 | 727 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Image Segmentation (HP) | 1679 | 1679 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Image Segmentation (Q) | 1180 | 1180 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Pose Estimation (SP) | 3260 | 3260 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Pose Estimation (HP) | 3251 | 3251 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Pose Estimation (Q) | 7081 | 7081 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Object Detection (SP) | 688 | 688 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Object Detection (HP) | 694 | 694 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Object Detection (Q) | 1426 | 1426 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Face Detection (SP) | 1200 | 1200 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Face Detection (HP) | 1304 | 1304 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Face Detection (Q) | 2959 | 2959 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Depth Estimation (SP) | 3096 | 3096 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Depth Estimation (HP) | 2833 | 2833 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Depth Estimation (Q) | 2951 | 2951 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Style Transfer (SP) | 3717 | 3717 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Style Transfer (HP) | 7929 | 7929 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Style Transfer (Q) | 6847 | 6847 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Image Super-Resolution (SP) | 757 | 757 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Image Super-Resolution (HP) | 1390 | 1390 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Image Super-Resolution (Q) | 1711 | 1711 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Text Classification (SP) | 396 | 396 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Text Classification (HP) | 397 | 397 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Text Classification (Q) | 675 | 675 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Machine Translation (SP) | 770 | 770 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Machine Translation (HP) | 766 | 766 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Machine Translation (Q) | 616 | 616 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
