FYD IM-H842 vs FYD IM-H842
| FYD IM-H842 | FYD IM-H842 | Difference | |
|---|---|---|---|
| Single Precision | 488 | 488 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Half Precision | 504 | 504 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Quantized | 937 | 937 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| FYD IM-H842 | FYD IM-H842 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | FYD IM-H842 | FYD IM-H842 |
| Processor |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Motherboard | IM-H842 | IM-H842 |
| Memory | 7.54 GB | 7.54 GB |
AI Performance
| FYD IM-H842 | FYD IM-H842 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 225 | 225 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Image Classification (HP) | 225 | 225 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Image Classification (Q) | 648 | 648 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Image Segmentation (SP) | 282 | 282 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Image Segmentation (HP) | 281 | 281 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Image Segmentation (Q) | 717 | 717 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Pose Estimation (SP) | 1104 | 1104 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Pose Estimation (HP) | 1085 | 1085 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Pose Estimation (Q) | 1606 | 1606 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Object Detection (SP) | 226 | 226 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Object Detection (HP) | 227 | 227 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Object Detection (Q) | 626 | 626 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Face Detection (SP) | 731 | 731 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Face Detection (HP) | 730 | 730 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Face Detection (Q) | 1470 | 1470 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Depth Estimation (SP) | 559 | 559 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Depth Estimation (HP) | 801 | 801 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Depth Estimation (Q) | 1470 | 1470 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Style Transfer (SP) | 1843 | 1843 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Style Transfer (HP) | 1837 | 1837 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Style Transfer (Q) | 3683 | 3683 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Image Super-Resolution (SP) | 498 | 498 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Image Super-Resolution (HP) | 495 | 495 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Image Super-Resolution (Q) | 884 | 884 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Text Classification (SP) | 275 | 275 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Text Classification (HP) | 274 | 274 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Text Classification (Q) | 477 | 477 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Machine Translation (SP) | 475 | 475 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Machine Translation (HP) | 468 | 468 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
| Machine Translation (Q) | 335 | 335 | 100.0% |
| FYD IM-H842 | |||
| FYD IM-H842 | |||
