Danew Dslide_114 vs Danew Dslide_114
| Danew Dslide_114 | Danew Dslide_114 | Difference | |
|---|---|---|---|
| Single Precision | 148 | 148 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Half Precision | 148 | 148 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Quantized | 257 | 257 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| Danew Dslide_114 | Danew Dslide_114 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 13 | Android 13 |
| Model | Danew Dslide_114 | Danew Dslide_114 |
| Processor |
ARM ARMv8 @ 1.42 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.42 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 2 part 3333 revision 0 | ARM implementer 65 architecture 8 variant 2 part 3333 revision 0 |
| Motherboard | exdroid | exdroid |
| Memory | 3.63 GB | 3.63 GB |
AI Performance
| Danew Dslide_114 | Danew Dslide_114 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 98 | 98 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Image Classification (HP) | 102 | 102 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Image Classification (Q) | 304 | 304 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Image Segmentation (SP) | 125 | 125 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Image Segmentation (HP) | 129 | 129 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Image Segmentation (Q) | 369 | 369 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Pose Estimation (SP) | 449 | 449 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Pose Estimation (HP) | 434 | 434 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Pose Estimation (Q) | 744 | 744 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Object Detection (SP) | 103 | 103 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Object Detection (HP) | 96 | 96 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Object Detection (Q) | 257 | 257 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Face Detection (SP) | 193 | 193 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Face Detection (HP) | 157 | 157 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Face Detection (Q) | 323 | 323 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Depth Estimation (SP) | 218 | 218 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Depth Estimation (HP) | 212 | 212 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Depth Estimation (Q) | 347 | 347 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Style Transfer (SP) | 500 | 500 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Style Transfer (HP) | 505 | 505 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Style Transfer (Q) | 958 | 958 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Image Super-Resolution (SP) | 105 | 105 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Image Super-Resolution (HP) | 111 | 111 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Image Super-Resolution (Q) | 190 | 190 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Text Classification (SP) | 50 | 50 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Text Classification (HP) | 59 | 59 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Text Classification (Q) | 79 | 79 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Machine Translation (SP) | 86 | 86 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Machine Translation (HP) | 86 | 86 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
| Machine Translation (Q) | 37 | 37 | 100.0% |
| Danew Dslide_114 | |||
| Danew Dslide_114 | |||
