SHARP SH-M29 vs SHARP SH-M29
| SHARP SH-M29 | SHARP SH-M29 | Difference | |
|---|---|---|---|
| Single Precision | 56 | 56 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Half Precision | 56 | 56 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Quantized | 9603 | 9603 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| SHARP SH-M29 | SHARP SH-M29 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | QNN | QNN |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | SHARP SH-M29 | SHARP SH-M29 |
| Processor |
ARM ARMv8 @ 1.96 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.96 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 | Naze | Naze |
| Memory | 7.29 GB | 7.29 GB |
AI Performance
| SHARP SH-M29 | SHARP SH-M29 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 32 | 32 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Image Classification (HP) | 33 | 33 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Image Classification (Q) | 9062 | 9062 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Image Segmentation (SP) | 43 | 43 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Image Segmentation (HP) | 43 | 43 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Image Segmentation (Q) | 6835 | 6835 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Pose Estimation (SP) | 50 | 50 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Pose Estimation (HP) | 49 | 49 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Pose Estimation (Q) | 31541 | 31541 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Object Detection (SP) | 33 | 33 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Object Detection (HP) | 33 | 33 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Object Detection (Q) | 4054 | 4054 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Face Detection (SP) | 77 | 77 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Face Detection (HP) | 78 | 78 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Face Detection (Q) | 19627 | 19627 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Depth Estimation (SP) | 69 | 69 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Depth Estimation (HP) | 69 | 69 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Depth Estimation (Q) | 21092 | 21092 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Style Transfer (SP) | 136 | 136 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Style Transfer (HP) | 134 | 134 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Style Transfer (Q) | 69362 | 69362 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Image Super-Resolution (SP) | 41 | 41 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Image Super-Resolution (HP) | 41 | 41 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Image Super-Resolution (Q) | 16816 | 16816 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Text Classification (SP) | 55 | 55 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Text Classification (HP) | 55 | 55 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Text Classification (Q) | 2760 | 2760 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Machine Translation (SP) | 90 | 90 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Machine Translation (HP) | 90 | 90 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
| Machine Translation (Q) | 632 | 632 | 100.0% |
| SHARP SH-M29 | |||
| SHARP SH-M29 | |||
