SHARP SH-M27 vs SHARP SH-M27
| SHARP SH-M27 | SHARP SH-M27 | Difference | |
|---|---|---|---|
| Single Precision | 509 | 509 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Half Precision | 507 | 507 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Quantized | 927 | 927 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| SHARP SH-M27 | SHARP SH-M27 | |
|---|---|---|
| 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-M27 | SHARP SH-M27 |
| Processor |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Motherboard | MT6833 | MT6833 |
| Memory | 3.58 GB | 3.58 GB |
AI Performance
| SHARP SH-M27 | SHARP SH-M27 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 224 | 224 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Image Classification (HP) | 224 | 224 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Image Classification (Q) | 639 | 639 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Image Segmentation (SP) | 280 | 280 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Image Segmentation (HP) | 280 | 280 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Image Segmentation (Q) | 691 | 691 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Pose Estimation (SP) | 1096 | 1096 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Pose Estimation (HP) | 1095 | 1095 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Pose Estimation (Q) | 1605 | 1605 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Object Detection (SP) | 224 | 224 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Object Detection (HP) | 223 | 223 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Object Detection (Q) | 628 | 628 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Face Detection (SP) | 725 | 725 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Face Detection (HP) | 721 | 721 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Face Detection (Q) | 1444 | 1444 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Depth Estimation (SP) | 932 | 932 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Depth Estimation (HP) | 935 | 935 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Depth Estimation (Q) | 1477 | 1477 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Style Transfer (SP) | 1845 | 1845 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Style Transfer (HP) | 1848 | 1848 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Style Transfer (Q) | 3678 | 3678 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Image Super-Resolution (SP) | 491 | 491 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Image Super-Resolution (HP) | 489 | 489 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Image Super-Resolution (Q) | 889 | 889 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Text Classification (SP) | 266 | 266 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Text Classification (HP) | 262 | 262 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Text Classification (Q) | 484 | 484 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Machine Translation (SP) | 466 | 466 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Machine Translation (HP) | 464 | 464 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
| Machine Translation (Q) | 314 | 314 | 100.0% |
| SHARP SH-M27 | |||
| SHARP SH-M27 | |||
