Newland NLS-MT95 vs Newland NLS-MT95
| Newland NLS-MT95 | Newland NLS-MT95 | Difference | |
|---|---|---|---|
| Single Precision | 231 | 231 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Half Precision | 307 | 307 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Quantized | 307 | 307 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| Newland NLS-MT95 | Newland NLS-MT95 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM MT8791 | ARM MT8791 |
| Operating System | Android 13 | Android 13 |
| Model | Newland NLS-MT95 | Newland NLS-MT95 |
| Processor |
ARM MT8791 @ 2.00 GHz
1 Processor, 8 Cores |
ARM MT8791 @ 2.00 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Motherboard | Newland | Newland |
| Memory | 3.56 GB | 3.56 GB |
AI Performance
| Newland NLS-MT95 | Newland NLS-MT95 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 165 | 165 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Image Classification (HP) | 258 | 258 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Image Classification (Q) | 182 | 182 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Image Segmentation (SP) | 235 | 235 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Image Segmentation (HP) | 377 | 377 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Image Segmentation (Q) | 362 | 362 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Pose Estimation (SP) | 162 | 162 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Pose Estimation (HP) | 190 | 190 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Pose Estimation (Q) | 188 | 188 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Object Detection (SP) | 125 | 125 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Object Detection (HP) | 189 | 189 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Object Detection (Q) | 189 | 189 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Face Detection (SP) | 496 | 496 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Face Detection (HP) | 704 | 704 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Face Detection (Q) | 632 | 632 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Depth Estimation (SP) | 309 | 309 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Depth Estimation (HP) | 396 | 396 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Depth Estimation (Q) | 319 | 319 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Style Transfer (SP) | 622 | 622 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Style Transfer (HP) | 873 | 873 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Style Transfer (Q) | 867 | 867 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Image Super-Resolution (SP) | 151 | 151 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Image Super-Resolution (HP) | 228 | 228 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Image Super-Resolution (Q) | 224 | 224 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Text Classification (SP) | 161 | 161 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Text Classification (HP) | 158 | 158 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Text Classification (Q) | 356 | 356 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Machine Translation (SP) | 244 | 244 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Machine Translation (HP) | 245 | 245 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
| Machine Translation (Q) | 231 | 231 | 100.0% |
| Newland NLS-MT95 | |||
| Newland NLS-MT95 | |||
