Anbernic RG477M vs Anbernic RG477M
| Anbernic RG477M | Anbernic RG477M | Difference | |
|---|---|---|---|
| Single Precision | 1142 | 1142 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Half Precision | 4607 | 4607 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Quantized | 4750 | 4750 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| Anbernic RG477M | Anbernic RG477M | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | NNAPI | NNAPI |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | Anbernic RG477M | Anbernic RG477M |
| Processor |
ARM ARMv8 @ 2.20 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.20 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Motherboard | k6897v1_64 | k6897v1_64 |
| Memory | 7.64 GB | 7.64 GB |
AI Performance
| Anbernic RG477M | Anbernic RG477M | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1019 | 1019 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Image Classification (HP) | 4226 | 4226 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Image Classification (Q) | 7920 | 7920 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Image Segmentation (SP) | 673 | 673 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Image Segmentation (HP) | 4188 | 4188 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Image Segmentation (Q) | 1794 | 1794 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Pose Estimation (SP) | 8688 | 8688 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Pose Estimation (HP) | 17599 | 17599 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Pose Estimation (Q) | 73325 | 73325 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Object Detection (SP) | 711 | 711 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Object Detection (HP) | 4329 | 4329 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Object Detection (Q) | 5333 | 5333 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Face Detection (SP) | 3267 | 3267 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Face Detection (HP) | 9791 | 9791 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Face Detection (Q) | 11455 | 11455 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Depth Estimation (SP) | 906 | 906 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Depth Estimation (HP) | 19066 | 19066 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Depth Estimation (Q) | 31728 | 31728 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Style Transfer (SP) | 3539 | 3539 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Style Transfer (HP) | 710 | 710 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Style Transfer (Q) | 532 | 532 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Image Super-Resolution (SP) | 2483 | 2483 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Image Super-Resolution (HP) | 10278 | 10278 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Image Super-Resolution (Q) | 7232 | 7232 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Text Classification (SP) | 104 | 104 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Text Classification (HP) | 1761 | 1761 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Text Classification (Q) | 1836 | 1836 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Machine Translation (SP) | 330 | 330 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Machine Translation (HP) | 1332 | 1332 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
| Machine Translation (Q) | 410 | 410 | 100.0% |
| Anbernic RG477M | |||
| Anbernic RG477M | |||
