INCAR G3_EEA vs INCAR G3_EEA
| INCAR G3_EEA | INCAR G3_EEA | Difference | |
|---|---|---|---|
| Single Precision | 126 | 126 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Half Precision | 125 | 125 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Quantized | 169 | 169 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| INCAR G3_EEA | INCAR G3_EEA | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM Unisoc | ARM Unisoc |
| Operating System | Android 13 | Android 13 |
| Model | INCAR G3_EEA | INCAR G3_EEA |
| Processor |
ARM Unisoc @ 1.82 GHz
1 Processor, 4 Cores |
ARM Unisoc @ 1.82 GHz
1 Processor, 4 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Motherboard | ums312_2h10 | ums312_2h10 |
| Memory | 3.72 GB | 3.72 GB |
AI Performance
| INCAR G3_EEA | INCAR G3_EEA | Difference | |
|---|---|---|---|
| Image Classification (SP) | 55 | 55 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Image Classification (HP) | 55 | 55 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Image Classification (Q) | 113 | 113 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Image Segmentation (SP) | 67 | 67 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Image Segmentation (HP) | 67 | 67 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Image Segmentation (Q) | 135 | 135 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Pose Estimation (SP) | 261 | 261 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Pose Estimation (HP) | 266 | 266 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Pose Estimation (Q) | 201 | 201 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Object Detection (SP) | 54 | 54 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Object Detection (HP) | 54 | 54 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Object Detection (Q) | 110 | 110 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Face Detection (SP) | 180 | 180 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Face Detection (HP) | 180 | 180 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Face Detection (Q) | 305 | 305 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Depth Estimation (SP) | 232 | 232 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Depth Estimation (HP) | 222 | 222 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Depth Estimation (Q) | 239 | 239 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Style Transfer (SP) | 438 | 438 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Style Transfer (HP) | 436 | 436 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Style Transfer (Q) | 551 | 551 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Image Super-Resolution (SP) | 122 | 122 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Image Super-Resolution (HP) | 121 | 121 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Image Super-Resolution (Q) | 133 | 133 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Text Classification (SP) | 70 | 70 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Text Classification (HP) | 69 | 69 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Text Classification (Q) | 116 | 116 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Machine Translation (SP) | 131 | 131 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Machine Translation (HP) | 130 | 130 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
| Machine Translation (Q) | 96 | 96 | 100.0% |
| INCAR G3_EEA | |||
| INCAR G3_EEA | |||
