SHARP A102SH vs SHARP A102SH
| SHARP A102SH | SHARP A102SH | Difference | |
|---|---|---|---|
| Single Precision | 190 | 190 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Half Precision | 190 | 190 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Quantized | 427 | 427 | 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 | QNN | QNN |
| 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) | 113 | 113 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Classification (HP) | 114 | 114 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Classification (Q) | 279 | 279 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Segmentation (SP) | 153 | 153 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Segmentation (HP) | 154 | 154 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Segmentation (Q) | 306 | 306 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Pose Estimation (SP) | 210 | 210 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Pose Estimation (HP) | 209 | 209 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Pose Estimation (Q) | 764 | 764 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Object Detection (SP) | 114 | 114 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Object Detection (HP) | 114 | 114 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Object Detection (Q) | 299 | 299 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Face Detection (SP) | 277 | 277 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Face Detection (HP) | 279 | 279 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Face Detection (Q) | 617 | 617 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Depth Estimation (SP) | 242 | 242 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Depth Estimation (HP) | 243 | 243 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Depth Estimation (Q) | 551 | 551 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Style Transfer (SP) | 409 | 409 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Style Transfer (HP) | 410 | 410 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Style Transfer (Q) | 1182 | 1182 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Super-Resolution (SP) | 118 | 118 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Super-Resolution (HP) | 118 | 118 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Super-Resolution (Q) | 415 | 415 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Text Classification (SP) | 170 | 170 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Text Classification (HP) | 170 | 170 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Text Classification (Q) | 295 | 295 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Machine Translation (SP) | 276 | 276 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Machine Translation (HP) | 277 | 277 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Machine Translation (Q) | 211 | 211 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
