realme RMX5010 vs realme RMX5010
| realme RMX5010 | realme RMX5010 | Difference | |
|---|---|---|---|
| Single Precision | 982 | 982 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Half Precision | 1637 | 1637 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Quantized | 1618 | 1618 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| realme RMX5010 | realme RMX5010 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | Qualcomm ARMv8 | Qualcomm ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | realme RMX5010 | realme RMX5010 |
| Processor |
Qualcomm ARMv8 @ 3.53 GHz
1 Processor, 8 Cores |
Qualcomm ARMv8 @ 3.53 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Motherboard | sun | sun |
| Memory | 10.86 GB | 10.86 GB |
AI Performance
| realme RMX5010 | realme RMX5010 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 644 | 644 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Classification (HP) | 544 | 544 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Classification (Q) | 666 | 666 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Segmentation (SP) | 1547 | 1547 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Segmentation (HP) | 2087 | 2087 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Segmentation (Q) | 2059 | 2059 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Pose Estimation (SP) | 1630 | 1630 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Pose Estimation (HP) | 2786 | 2786 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Pose Estimation (Q) | 2771 | 2771 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Object Detection (SP) | 524 | 524 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Object Detection (HP) | 1299 | 1299 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Object Detection (Q) | 1071 | 1071 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Face Detection (SP) | 2715 | 2715 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Face Detection (HP) | 4501 | 4501 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Face Detection (Q) | 3571 | 3571 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Depth Estimation (SP) | 1537 | 1537 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Depth Estimation (HP) | 4558 | 4558 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Depth Estimation (Q) | 3675 | 3675 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Style Transfer (SP) | 5753 | 5753 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Style Transfer (HP) | 12324 | 12324 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Style Transfer (Q) | 12321 | 12321 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Super-Resolution (SP) | 627 | 627 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Super-Resolution (HP) | 2012 | 2012 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Image Super-Resolution (Q) | 2020 | 2020 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Text Classification (SP) | 185 | 185 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Text Classification (HP) | 185 | 185 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Text Classification (Q) | 307 | 307 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Machine Translation (SP) | 355 | 355 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Machine Translation (HP) | 359 | 359 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
| Machine Translation (Q) | 303 | 303 | 100.0% |
| realme RMX5010 | |||
| realme RMX5010 | |||
