realme RMX3300 vs realme RMX3300
| realme RMX3300 | realme RMX3300 | Difference | |
|---|---|---|---|
| Single Precision | 642 | 642 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Half Precision | 889 | 889 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Quantized | 882 | 882 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| realme RMX3300 | realme RMX3300 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | realme RMX3300 | realme RMX3300 |
| Processor |
ARM ARMv8 @ 1.78 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.78 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Motherboard | taro | taro |
| Memory | 10.95 GB | 10.95 GB |
AI Performance
| realme RMX3300 | realme RMX3300 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 457 | 457 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Image Classification (HP) | 634 | 634 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Image Classification (Q) | 377 | 377 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Image Segmentation (SP) | 904 | 904 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Image Segmentation (HP) | 1053 | 1053 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Image Segmentation (Q) | 1159 | 1159 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Pose Estimation (SP) | 712 | 712 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Pose Estimation (HP) | 1278 | 1278 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Pose Estimation (Q) | 1289 | 1289 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Object Detection (SP) | 395 | 395 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Object Detection (HP) | 603 | 603 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Object Detection (Q) | 685 | 685 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Face Detection (SP) | 1417 | 1417 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Face Detection (HP) | 1387 | 1387 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Face Detection (Q) | 1463 | 1463 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Depth Estimation (SP) | 1088 | 1088 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Depth Estimation (HP) | 2265 | 2265 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Depth Estimation (Q) | 1828 | 1828 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Style Transfer (SP) | 2751 | 2751 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Style Transfer (HP) | 6068 | 6068 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Style Transfer (Q) | 6150 | 6150 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Image Super-Resolution (SP) | 367 | 367 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Image Super-Resolution (HP) | 468 | 468 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Image Super-Resolution (Q) | 440 | 440 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Text Classification (SP) | 170 | 170 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Text Classification (HP) | 171 | 171 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Text Classification (Q) | 301 | 301 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Machine Translation (SP) | 390 | 390 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Machine Translation (HP) | 393 | 393 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
| Machine Translation (Q) | 341 | 341 | 100.0% |
| realme RMX3300 | |||
| realme RMX3300 | |||
