samsung SM-A166W vs samsung SM-A166W
| samsung SM-A166W | samsung SM-A166W | Difference | |
|---|---|---|---|
| Single Precision | 474 | 474 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Half Precision | 460 | 460 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Quantized | 884 | 884 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| samsung SM-A166W | samsung SM-A166W | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | samsung SM-A166W | samsung SM-A166W |
| Processor |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Motherboard | s5e8535 | s5e8535 |
| Memory | 3.37 GB | 3.37 GB |
AI Performance
| samsung SM-A166W | samsung SM-A166W | Difference | |
|---|---|---|---|
| Image Classification (SP) | 230 | 230 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Classification (HP) | 230 | 230 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Classification (Q) | 739 | 739 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Segmentation (SP) | 237 | 237 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Segmentation (HP) | 256 | 256 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Segmentation (Q) | 676 | 676 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Pose Estimation (SP) | 1157 | 1157 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Pose Estimation (HP) | 1082 | 1082 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Pose Estimation (Q) | 1599 | 1599 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Object Detection (SP) | 222 | 222 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Object Detection (HP) | 210 | 210 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Object Detection (Q) | 611 | 611 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Face Detection (SP) | 642 | 642 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Face Detection (HP) | 657 | 657 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Face Detection (Q) | 1461 | 1461 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Depth Estimation (SP) | 901 | 901 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Depth Estimation (HP) | 866 | 866 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Depth Estimation (Q) | 1261 | 1261 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Style Transfer (SP) | 1694 | 1694 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Style Transfer (HP) | 1663 | 1663 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Style Transfer (Q) | 3264 | 3264 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Super-Resolution (SP) | 477 | 477 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Super-Resolution (HP) | 423 | 423 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Super-Resolution (Q) | 763 | 763 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Text Classification (SP) | 219 | 219 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Text Classification (HP) | 218 | 218 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Text Classification (Q) | 460 | 460 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Machine Translation (SP) | 402 | 402 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Machine Translation (HP) | 366 | 366 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Machine Translation (Q) | 285 | 285 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
