Danew Dslide_115 vs Danew Dslide_115
| Danew Dslide_115 | Danew Dslide_115 | Difference | |
|---|---|---|---|
| Single Precision | 144 | 144 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Half Precision | 141 | 141 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Quantized | 158 | 158 | 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) | 93 | 93 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Classification (HP) | 79 | 79 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Classification (Q) | 101 | 101 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Segmentation (SP) | 84 | 84 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Segmentation (HP) | 82 | 82 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Segmentation (Q) | 144 | 144 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Pose Estimation (SP) | 300 | 300 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Pose Estimation (HP) | 291 | 291 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Pose Estimation (Q) | 227 | 227 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Object Detection (SP) | 65 | 65 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Object Detection (HP) | 69 | 69 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Object Detection (Q) | 104 | 104 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Face Detection (SP) | 181 | 181 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Face Detection (HP) | 187 | 187 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Face Detection (Q) | 262 | 262 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Depth Estimation (SP) | 222 | 222 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Depth Estimation (HP) | 193 | 193 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Depth Estimation (Q) | 246 | 246 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Style Transfer (SP) | 563 | 563 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Style Transfer (HP) | 585 | 585 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Style Transfer (Q) | 675 | 675 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Super-Resolution (SP) | 120 | 120 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Super-Resolution (HP) | 132 | 132 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Image Super-Resolution (Q) | 143 | 143 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Text Classification (SP) | 82 | 82 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Text Classification (HP) | 76 | 76 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Text Classification (Q) | 93 | 93 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Machine Translation (SP) | 118 | 118 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Machine Translation (HP) | 118 | 118 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
| Machine Translation (Q) | 50 | 50 | 100.0% |
| Danew Dslide_115 | |||
| Danew Dslide_115 | |||
