realme RMX3888 vs realme RMX3888
| realme RMX3888 | realme RMX3888 | Difference | |
|---|---|---|---|
| Single Precision | 204 | 204 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Half Precision | 200 | 200 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Quantized | 440 | 440 | 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 | NNAPI | NNAPI |
| 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) | 118 | 118 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Classification (HP) | 115 | 115 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Classification (Q) | 283 | 283 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Segmentation (SP) | 154 | 154 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Segmentation (HP) | 154 | 154 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Segmentation (Q) | 304 | 304 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Pose Estimation (SP) | 197 | 197 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Pose Estimation (HP) | 199 | 199 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Pose Estimation (Q) | 738 | 738 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Object Detection (SP) | 116 | 116 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Object Detection (HP) | 114 | 114 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Object Detection (Q) | 321 | 321 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Face Detection (SP) | 342 | 342 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Face Detection (HP) | 343 | 343 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Face Detection (Q) | 652 | 652 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Depth Estimation (SP) | 270 | 270 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Depth Estimation (HP) | 270 | 270 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Depth Estimation (Q) | 604 | 604 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Style Transfer (SP) | 487 | 487 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Style Transfer (HP) | 487 | 487 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Style Transfer (Q) | 1339 | 1339 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Super-Resolution (SP) | 128 | 128 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Super-Resolution (HP) | 128 | 128 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Image Super-Resolution (Q) | 435 | 435 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Text Classification (SP) | 188 | 188 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Text Classification (HP) | 157 | 157 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Text Classification (Q) | 255 | 255 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Machine Translation (SP) | 283 | 283 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Machine Translation (HP) | 284 | 284 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
| Machine Translation (Q) | 233 | 233 | 100.0% |
| realme RMX3888 | |||
| realme RMX3888 | |||
