incar M10_R02 vs incar M10_R02
| incar M10_R02 | incar M10_R02 | Difference | |
|---|---|---|---|
| Single Precision | 126 | 126 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Half Precision | 123 | 123 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Quantized | 149 | 149 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| incar M10_R02 | incar M10_R02 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | incar M10_R02 | incar M10_R02 |
| Processor |
ARM ARMv8 @ 2.02 GHz
1 Processor, 4 Cores |
ARM ARMv8 @ 2.02 GHz
1 Processor, 4 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Motherboard | rk30sdk | rk30sdk |
| Memory | 2.87 GB | 2.87 GB |
AI Performance
| incar M10_R02 | incar M10_R02 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 61 | 61 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Image Classification (HP) | 59 | 59 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Image Classification (Q) | 96 | 96 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Image Segmentation (SP) | 86 | 86 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Image Segmentation (HP) | 87 | 87 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Image Segmentation (Q) | 143 | 143 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Pose Estimation (SP) | 300 | 300 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Pose Estimation (HP) | 294 | 294 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Pose Estimation (Q) | 232 | 232 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Object Detection (SP) | 64 | 64 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Object Detection (HP) | 63 | 63 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Object Detection (Q) | 99 | 99 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Face Detection (SP) | 153 | 153 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Face Detection (HP) | 149 | 149 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Face Detection (Q) | 258 | 258 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Depth Estimation (SP) | 197 | 197 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Depth Estimation (HP) | 182 | 182 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Depth Estimation (Q) | 221 | 221 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Style Transfer (SP) | 528 | 528 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Style Transfer (HP) | 529 | 529 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Style Transfer (Q) | 569 | 569 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Image Super-Resolution (SP) | 98 | 98 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Image Super-Resolution (HP) | 99 | 99 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Image Super-Resolution (Q) | 134 | 134 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Text Classification (SP) | 65 | 65 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Text Classification (HP) | 59 | 59 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Text Classification (Q) | 76 | 76 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Machine Translation (SP) | 99 | 99 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Machine Translation (HP) | 104 | 104 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
| Machine Translation (Q) | 52 | 52 | 100.0% |
| incar M10_R02 | |||
| incar M10_R02 | |||
