SHARP A003SH vs SHARP A003SH
| SHARP A003SH | SHARP A003SH | Difference | |
|---|---|---|---|
| Single Precision | 495 | 495 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Half Precision | 478 | 478 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Quantized | 894 | 894 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| SHARP A003SH | SHARP A003SH | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | Qualcomm Qualcomm | Qualcomm Qualcomm |
| Operating System | Android 12 | Android 12 |
| Model | SHARP A003SH | SHARP A003SH |
| Processor |
Qualcomm Qualcomm @ 1.80 GHz
1 Processor, 8 Cores |
Qualcomm Qualcomm @ 1.80 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Motherboard | Jerid | Jerid |
| Memory | 2.53 GB | 2.53 GB |
AI Performance
| SHARP A003SH | SHARP A003SH | Difference | |
|---|---|---|---|
| Image Classification (SP) | 236 | 236 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Image Classification (HP) | 227 | 227 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Image Classification (Q) | 680 | 680 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Image Segmentation (SP) | 295 | 295 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Image Segmentation (HP) | 294 | 294 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Image Segmentation (Q) | 746 | 746 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Pose Estimation (SP) | 1132 | 1132 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Pose Estimation (HP) | 885 | 885 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Pose Estimation (Q) | 1494 | 1494 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Object Detection (SP) | 213 | 213 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Object Detection (HP) | 211 | 211 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Object Detection (Q) | 600 | 600 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Face Detection (SP) | 675 | 675 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Face Detection (HP) | 675 | 675 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Face Detection (Q) | 1370 | 1370 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Depth Estimation (SP) | 900 | 900 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Depth Estimation (HP) | 890 | 890 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Depth Estimation (Q) | 1374 | 1374 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Style Transfer (SP) | 1730 | 1730 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Style Transfer (HP) | 1726 | 1726 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Style Transfer (Q) | 3451 | 3451 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Image Super-Resolution (SP) | 471 | 471 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Image Super-Resolution (HP) | 464 | 464 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Image Super-Resolution (Q) | 838 | 838 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Text Classification (SP) | 249 | 249 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Text Classification (HP) | 246 | 246 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Text Classification (Q) | 441 | 441 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Machine Translation (SP) | 431 | 431 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Machine Translation (HP) | 423 | 423 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Machine Translation (Q) | 299 | 299 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
