Danew Dslide_115 vs Danew Dslide_115
| Danew Dslide_115 | Danew Dslide_115 | Difference | |
|---|---|---|---|
| Single Precision | 180 | 180 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Half Precision | 179 | 179 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Quantized | 208 | 208 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| Danew Dslide_115 | Danew Dslide_115 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | Danew Dslide_115 | Danew Dslide_115 |
| 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 1 part 3337 revision 0 | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Motherboard | exdroid | exdroid |
| Memory | 3.66 GB | 3.66 GB |
AI Performance
| Danew Dslide_115 | Danew Dslide_115 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 101 | 101 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Classification (HP) | 112 | 112 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Classification (Q) | 168 | 168 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Segmentation (SP) | 133 | 133 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Segmentation (HP) | 133 | 133 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Segmentation (Q) | 225 | 225 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Pose Estimation (SP) | 428 | 428 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Pose Estimation (HP) | 373 | 373 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Pose Estimation (Q) | 298 | 298 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Object Detection (SP) | 90 | 90 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Object Detection (HP) | 89 | 89 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Object Detection (Q) | 136 | 136 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Face Detection (SP) | 206 | 206 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Face Detection (HP) | 215 | 215 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Face Detection (Q) | 327 | 327 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Depth Estimation (SP) | 197 | 197 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Depth Estimation (HP) | 197 | 197 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Depth Estimation (Q) | 298 | 298 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Style Transfer (SP) | 707 | 707 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Style Transfer (HP) | 716 | 716 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Style Transfer (Q) | 764 | 764 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Super-Resolution (SP) | 152 | 152 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Super-Resolution (HP) | 154 | 154 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Super-Resolution (Q) | 180 | 180 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Text Classification (SP) | 110 | 110 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Text Classification (HP) | 102 | 102 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Text Classification (Q) | 121 | 121 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Machine Translation (SP) | 147 | 147 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Machine Translation (HP) | 146 | 146 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Machine Translation (Q) | 62 | 62 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
