SHARP SH-M30 vs SHARP SH-M30
| SHARP SH-M30 | SHARP SH-M30 | Difference | |
|---|---|---|---|
| Single Precision | 444 | 444 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Half Precision | 443 | 443 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Quantized | 29159 | 29159 | 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 | QNN | QNN |
| 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) | 282 | 282 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Image Classification (HP) | 279 | 279 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Image Classification (Q) | 21760 | 21760 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Image Segmentation (SP) | 347 | 347 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Image Segmentation (HP) | 346 | 346 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Image Segmentation (Q) | 22194 | 22194 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Pose Estimation (SP) | 471 | 471 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Pose Estimation (HP) | 467 | 467 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Pose Estimation (Q) | 134602 | 134602 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Object Detection (SP) | 263 | 263 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Object Detection (HP) | 265 | 265 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Object Detection (Q) | 13762 | 13762 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Face Detection (SP) | 634 | 634 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Face Detection (HP) | 639 | 639 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Face Detection (Q) | 59896 | 59896 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Depth Estimation (SP) | 563 | 563 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Depth Estimation (HP) | 566 | 566 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Depth Estimation (Q) | 74202 | 74202 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Style Transfer (SP) | 936 | 936 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Style Transfer (HP) | 931 | 931 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Style Transfer (Q) | 192469 | 192469 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Image Super-Resolution (SP) | 286 | 286 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Image Super-Resolution (HP) | 288 | 288 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Image Super-Resolution (Q) | 38024 | 38024 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Text Classification (SP) | 410 | 410 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Text Classification (HP) | 407 | 407 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Text Classification (Q) | 7748 | 7748 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Machine Translation (SP) | 632 | 632 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Machine Translation (HP) | 629 | 629 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
| Machine Translation (Q) | 1971 | 1971 | 100.0% |
| SHARP SH-M30 | |||
| SHARP SH-M30 | |||
