SHARP A102SH vs SHARP A102SH
| SHARP A102SH | SHARP A102SH | Difference | |
|---|---|---|---|
| Single Precision | 153 | 153 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Half Precision | 288 | 288 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Quantized | 354 | 354 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| SHARP A102SH | SHARP A102SH | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | NNAPI | NNAPI |
| AI Device | ARM Qualcomm | ARM Qualcomm |
| Operating System | Android 12 | Android 12 |
| Model | SHARP A102SH | SHARP A102SH |
| Processor |
ARM Qualcomm @ 1.80 GHz
1 Processor, 8 Cores |
ARM Qualcomm @ 1.80 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Motherboard | Recoa | Recoa |
| Memory | 7.32 GB | 7.32 GB |
AI Performance
| SHARP A102SH | SHARP A102SH | Difference | |
|---|---|---|---|
| Image Classification (SP) | 183 | 183 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Classification (HP) | 246 | 246 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Classification (Q) | 583 | 583 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Segmentation (SP) | 214 | 214 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Segmentation (HP) | 156 | 156 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Segmentation (Q) | 737 | 737 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Pose Estimation (SP) | 533 | 533 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Pose Estimation (HP) | 1238 | 1238 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Pose Estimation (Q) | 4312 | 4312 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Object Detection (SP) | 173 | 173 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Object Detection (HP) | 115 | 115 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Object Detection (Q) | 624 | 624 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Face Detection (SP) | 362 | 362 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Face Detection (HP) | 285 | 285 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Face Detection (Q) | 1667 | 1667 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Depth Estimation (SP) | 298 | 298 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Depth Estimation (HP) | 245 | 245 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Depth Estimation (Q) | 114 | 114 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Style Transfer (SP) | 535 | 535 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Style Transfer (HP) | 410 | 410 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Style Transfer (Q) | 1987 | 1987 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Super-Resolution (SP) | 313 | 313 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Super-Resolution (HP) | 581 | 581 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Super-Resolution (Q) | 2077 | 2077 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Text Classification (SP) | 2 | 2 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Text Classification (HP) | 161 | 161 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Text Classification (Q) | 35 | 35 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Machine Translation (SP) | 56 | 56 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Machine Translation (HP) | 269 | 269 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Machine Translation (Q) | 0 | 0 | |
| SHARP A102SH | |||
| SHARP A102SH | |||
