SHARP A003SH vs SHARP A003SH
| SHARP A003SH | SHARP A003SH | Difference | |
|---|---|---|---|
| Single Precision | 288 | 288 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Half Precision | 463 | 463 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Quantized | 419 | 419 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| SHARP A003SH | SHARP A003SH | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| 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) | 208 | 208 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Image Classification (HP) | 329 | 329 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Image Classification (Q) | 300 | 300 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Image Segmentation (SP) | 322 | 322 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Image Segmentation (HP) | 530 | 530 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Image Segmentation (Q) | 456 | 456 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Pose Estimation (SP) | 1263 | 1263 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Pose Estimation (HP) | 2105 | 2105 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Pose Estimation (Q) | 2065 | 2065 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Object Detection (SP) | 170 | 170 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Object Detection (HP) | 253 | 253 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Object Detection (Q) | 238 | 238 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Face Detection (SP) | 604 | 604 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Face Detection (HP) | 908 | 908 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Face Detection (Q) | 838 | 838 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Depth Estimation (SP) | 689 | 689 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Depth Estimation (HP) | 1168 | 1168 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Depth Estimation (Q) | 946 | 946 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Style Transfer (SP) | 1653 | 1653 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Style Transfer (HP) | 3154 | 3154 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Style Transfer (Q) | 3067 | 3067 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Image Super-Resolution (SP) | 294 | 294 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Image Super-Resolution (HP) | 476 | 476 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Image Super-Resolution (Q) | 462 | 462 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Text Classification (SP) | 12 | 12 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Text Classification (HP) | 20 | 20 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Text Classification (Q) | 19 | 19 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Machine Translation (SP) | 114 | 114 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Machine Translation (HP) | 154 | 154 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
| Machine Translation (Q) | 118 | 118 | 100.0% |
| SHARP A003SH | |||
| SHARP A003SH | |||
