SHARP SH-M26 vs SHARP SH-M26
| SHARP SH-M26 | SHARP SH-M26 | Difference | |
|---|---|---|---|
| Single Precision | 149 | 149 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Half Precision | 211 | 211 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Quantized | 208 | 208 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| SHARP SH-M26 | SHARP SH-M26 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | SHARP SH-M26 | SHARP SH-M26 |
| Processor |
ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.80 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 | Quess | Quess |
| Memory | 7.29 GB | 7.29 GB |
AI Performance
| SHARP SH-M26 | SHARP SH-M26 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 125 | 125 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Image Classification (HP) | 214 | 214 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Image Classification (Q) | 209 | 209 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Image Segmentation (SP) | 184 | 184 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Image Segmentation (HP) | 234 | 234 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Image Segmentation (Q) | 225 | 225 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Pose Estimation (SP) | 170 | 170 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Pose Estimation (HP) | 259 | 259 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Pose Estimation (Q) | 258 | 258 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Object Detection (SP) | 86 | 86 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Object Detection (HP) | 125 | 125 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Object Detection (Q) | 124 | 124 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Face Detection (SP) | 321 | 321 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Face Detection (HP) | 447 | 447 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Face Detection (Q) | 423 | 423 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Depth Estimation (SP) | 245 | 245 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Depth Estimation (HP) | 411 | 411 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Depth Estimation (Q) | 333 | 333 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Style Transfer (SP) | 536 | 536 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Style Transfer (HP) | 1081 | 1081 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Style Transfer (Q) | 913 | 913 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Image Super-Resolution (SP) | 93 | 93 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Image Super-Resolution (HP) | 130 | 130 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Image Super-Resolution (Q) | 129 | 129 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Text Classification (SP) | 48 | 48 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Text Classification (HP) | 49 | 49 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Text Classification (Q) | 90 | 90 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Machine Translation (SP) | 86 | 86 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Machine Translation (HP) | 86 | 86 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
| Machine Translation (Q) | 68 | 68 | 100.0% |
| SHARP SH-M26 | |||
| SHARP SH-M26 | |||
