realme RMX3888 vs realme RMX3888
| realme RMX3888 | realme RMX3888 | Difference | |
|---|---|---|---|
| Single Precision | 943 | 943 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Half Precision | 1337 | 1337 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Quantized | 1275 | 1275 | 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 | GPU | GPU |
| 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) | 460 | 460 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Classification (HP) | 518 | 518 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Classification (Q) | 580 | 580 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Segmentation (SP) | 1293 | 1293 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Segmentation (HP) | 1146 | 1146 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Segmentation (Q) | 1035 | 1035 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Pose Estimation (SP) | 1096 | 1096 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Pose Estimation (HP) | 2556 | 2556 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Pose Estimation (Q) | 2536 | 2536 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Object Detection (SP) | 724 | 724 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Object Detection (HP) | 993 | 993 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Object Detection (Q) | 990 | 990 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Face Detection (SP) | 2444 | 2444 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Face Detection (HP) | 2700 | 2700 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Face Detection (Q) | 1653 | 1653 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Depth Estimation (SP) | 1828 | 1828 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Depth Estimation (HP) | 3740 | 3740 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Depth Estimation (Q) | 3039 | 3039 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Style Transfer (SP) | 6722 | 6722 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Style Transfer (HP) | 10790 | 10790 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Style Transfer (Q) | 10546 | 10546 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Super-Resolution (SP) | 547 | 547 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Super-Resolution (HP) | 1552 | 1552 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Super-Resolution (Q) | 1501 | 1501 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Text Classification (SP) | 203 | 203 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Text Classification (HP) | 201 | 201 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Text Classification (Q) | 326 | 326 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Machine Translation (SP) | 357 | 357 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Machine Translation (HP) | 358 | 358 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Machine Translation (Q) | 292 | 292 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
