Danew Dslide_115 vs Danew Dslide_115
| Danew Dslide_115 | Danew Dslide_115 | Difference | |
|---|---|---|---|
| Single Precision | 140 | 140 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Half Precision | 140 | 140 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Quantized | 155 | 155 | 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) | 70 | 70 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Classification (HP) | 72 | 72 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Classification (Q) | 105 | 105 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Segmentation (SP) | 98 | 98 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Segmentation (HP) | 99 | 99 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Segmentation (Q) | 154 | 154 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Pose Estimation (SP) | 348 | 348 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Pose Estimation (HP) | 339 | 339 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Pose Estimation (Q) | 249 | 249 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Object Detection (SP) | 78 | 78 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Object Detection (HP) | 78 | 78 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Object Detection (Q) | 106 | 106 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Face Detection (SP) | 175 | 175 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Face Detection (HP) | 177 | 177 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Face Detection (Q) | 284 | 284 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Depth Estimation (SP) | 183 | 183 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Depth Estimation (HP) | 183 | 183 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Depth Estimation (Q) | 254 | 254 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Style Transfer (SP) | 609 | 609 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Style Transfer (HP) | 609 | 609 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Style Transfer (Q) | 567 | 567 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Super-Resolution (SP) | 115 | 115 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Super-Resolution (HP) | 114 | 114 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Super-Resolution (Q) | 145 | 145 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Text Classification (SP) | 74 | 74 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Text Classification (HP) | 72 | 72 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Text Classification (Q) | 73 | 73 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Machine Translation (SP) | 96 | 96 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Machine Translation (HP) | 97 | 97 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Machine Translation (Q) | 44 | 44 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
