realme RMX3709 vs realme RMX3709
| realme RMX3709 | realme RMX3709 | Difference | |
|---|---|---|---|
| Single Precision | 279 | 279 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Half Precision | 11106 | 11106 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Quantized | 29549 | 29549 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| realme RMX3709 | realme RMX3709 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | QNN | QNN |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | realme RMX3709 | realme RMX3709 |
| Processor |
ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.80 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 RMX3709 | realme RMX3709 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 162 | 162 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Image Classification (HP) | 8232 | 8232 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Image Classification (Q) | 23310 | 23310 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Image Segmentation (SP) | 210 | 210 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Image Segmentation (HP) | 6685 | 6685 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Image Segmentation (Q) | 19144 | 19144 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Pose Estimation (SP) | 285 | 285 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Pose Estimation (HP) | 36653 | 36653 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Pose Estimation (Q) | 225460 | 225460 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Object Detection (SP) | 162 | 162 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Object Detection (HP) | 7811 | 7811 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Object Detection (Q) | 11877 | 11877 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Face Detection (SP) | 439 | 439 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Face Detection (HP) | 18155 | 18155 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Face Detection (Q) | 72252 | 72252 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Depth Estimation (SP) | 368 | 368 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Depth Estimation (HP) | 28125 | 28125 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Depth Estimation (Q) | 66141 | 66141 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Style Transfer (SP) | 642 | 642 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Style Transfer (HP) | 39613 | 39613 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Style Transfer (Q) | 227060 | 227060 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Image Super-Resolution (SP) | 184 | 184 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Image Super-Resolution (HP) | 21646 | 21646 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Image Super-Resolution (Q) | 71694 | 71694 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Text Classification (SP) | 235 | 235 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Text Classification (HP) | 1897 | 1897 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Text Classification (Q) | 4428 | 4428 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Machine Translation (SP) | 411 | 411 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Machine Translation (HP) | 2182 | 2182 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
| Machine Translation (Q) | 1233 | 1233 | 100.0% |
| realme RMX3709 | |||
| realme RMX3709 | |||
