SHARP A102SH vs SHARP A102SH
| SHARP A102SH | SHARP A102SH | Difference | |
|---|---|---|---|
| Single Precision | 541 | 541 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Half Precision | 544 | 544 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Quantized | 1037 | 1037 | 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 | CPU | CPU |
| 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) | 245 | 245 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Classification (HP) | 244 | 244 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Classification (Q) | 701 | 701 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Segmentation (SP) | 305 | 305 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Segmentation (HP) | 307 | 307 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Segmentation (Q) | 786 | 786 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Pose Estimation (SP) | 1210 | 1210 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Pose Estimation (HP) | 1183 | 1183 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Pose Estimation (Q) | 1731 | 1731 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Object Detection (SP) | 245 | 245 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Object Detection (HP) | 243 | 243 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Object Detection (Q) | 704 | 704 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Face Detection (SP) | 768 | 768 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Face Detection (HP) | 775 | 775 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Face Detection (Q) | 1640 | 1640 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Depth Estimation (SP) | 843 | 843 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Depth Estimation (HP) | 918 | 918 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Depth Estimation (Q) | 1606 | 1606 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Style Transfer (SP) | 1979 | 1979 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Style Transfer (HP) | 1986 | 1986 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Style Transfer (Q) | 4040 | 4040 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Super-Resolution (SP) | 540 | 540 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Super-Resolution (HP) | 538 | 538 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Image Super-Resolution (Q) | 994 | 994 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Text Classification (SP) | 288 | 288 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Text Classification (HP) | 285 | 285 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Text Classification (Q) | 570 | 570 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Machine Translation (SP) | 495 | 495 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Machine Translation (HP) | 494 | 494 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
| Machine Translation (Q) | 358 | 358 | 100.0% |
| SHARP A102SH | |||
| SHARP A102SH | |||
