realme RMX3888 vs realme RMX3888
| realme RMX3888 | realme RMX3888 | Difference | |
|---|---|---|---|
| Single Precision | 2666 | 2666 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Half Precision | 2604 | 2604 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Quantized | 4250 | 4250 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| realme RMX3888 | realme RMX3888 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | realme RMX3888 | realme RMX3888 |
| Processor |
ARM ARMv8 @ 2.26 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.26 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Motherboard | pineapple | pineapple |
| Memory | 10.99 GB | 10.99 GB |
AI Performance
| realme RMX3888 | realme RMX3888 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1847 | 1847 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Classification (HP) | 1635 | 1635 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Classification (Q) | 2835 | 2835 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Segmentation (SP) | 2397 | 2397 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Segmentation (HP) | 2424 | 2424 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Segmentation (Q) | 4187 | 4187 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Pose Estimation (SP) | 4371 | 4371 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Pose Estimation (HP) | 4082 | 4082 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Pose Estimation (Q) | 9106 | 9106 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Object Detection (SP) | 2001 | 2001 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Object Detection (HP) | 2005 | 2005 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Object Detection (Q) | 2926 | 2926 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Face Detection (SP) | 3896 | 3896 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Face Detection (HP) | 3850 | 3850 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Face Detection (Q) | 7103 | 7103 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Depth Estimation (SP) | 3839 | 3839 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Depth Estimation (HP) | 3867 | 3867 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Depth Estimation (Q) | 6833 | 6833 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Style Transfer (SP) | 9918 | 9918 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Style Transfer (HP) | 9913 | 9913 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Style Transfer (Q) | 18629 | 18629 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Super-Resolution (SP) | 2058 | 2058 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Super-Resolution (HP) | 2047 | 2047 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Super-Resolution (Q) | 5136 | 5136 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Text Classification (SP) | 941 | 941 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Text Classification (HP) | 942 | 942 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Text Classification (Q) | 1449 | 1449 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Machine Translation (SP) | 1634 | 1634 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Machine Translation (HP) | 1557 | 1557 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Machine Translation (Q) | 905 | 905 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
