| DANEW Konnect_557 | DANEW Konnect_557 | Difference | |
|---|---|---|---|
| Single Precision | 131 | 131 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Half Precision | 131 | 131 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Quantized | 170 | 170 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
| DANEW Konnect_557 | DANEW Konnect_557 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM Unisoc | ARM Unisoc |
| Operating System | Android 13 | Android 13 |
| Model | DANEW Konnect_557 | DANEW Konnect_557 |
| 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 | 2.75 GB | 2.75 GB |
| DANEW Konnect_557 | DANEW Konnect_557 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 55 | 55 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Image Classification (HP) | 56 | 56 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Image Classification (Q) | 114 | 114 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Image Segmentation (SP) | 70 | 70 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Image Segmentation (HP) | 73 | 73 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Image Segmentation (Q) | 135 | 135 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Pose Estimation (SP) | 272 | 272 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Pose Estimation (HP) | 269 | 269 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Pose Estimation (Q) | 202 | 202 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Object Detection (SP) | 55 | 55 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Object Detection (HP) | 55 | 55 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Object Detection (Q) | 111 | 111 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Face Detection (SP) | 188 | 188 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Face Detection (HP) | 188 | 188 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Face Detection (Q) | 305 | 305 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Depth Estimation (SP) | 252 | 252 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Depth Estimation (HP) | 246 | 246 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Depth Estimation (Q) | 240 | 240 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Style Transfer (SP) | 444 | 444 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Style Transfer (HP) | 443 | 443 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Style Transfer (Q) | 550 | 550 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Image Super-Resolution (SP) | 132 | 132 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Image Super-Resolution (HP) | 132 | 132 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Image Super-Resolution (Q) | 134 | 134 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Text Classification (SP) | 71 | 71 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Text Classification (HP) | 70 | 70 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Text Classification (Q) | 117 | 117 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Machine Translation (SP) | 134 | 134 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Machine Translation (HP) | 132 | 132 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||
| Machine Translation (Q) | 98 | 98 | 100.0% |
| DANEW Konnect_557 | |||
| DANEW Konnect_557 | |||