samsung SM-A166W vs samsung SM-A166W
| samsung SM-A166W | samsung SM-A166W | Difference | |
|---|---|---|---|
| Single Precision | 318 | 318 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Half Precision | 544 | 544 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Quantized | 443 | 443 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
System Information
| samsung SM-A166W | samsung SM-A166W | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| 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) | 193 | 193 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Classification (HP) | 336 | 336 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Classification (Q) | 308 | 308 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Segmentation (SP) | 272 | 272 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Segmentation (HP) | 567 | 567 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Segmentation (Q) | 554 | 554 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Pose Estimation (SP) | 1128 | 1128 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Pose Estimation (HP) | 2141 | 2141 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Pose Estimation (Q) | 2088 | 2088 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Object Detection (SP) | 175 | 175 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Object Detection (HP) | 324 | 324 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Object Detection (Q) | 299 | 299 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Face Detection (SP) | 609 | 609 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Face Detection (HP) | 1175 | 1175 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Face Detection (Q) | 1012 | 1012 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Depth Estimation (SP) | 768 | 768 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Depth Estimation (HP) | 1461 | 1461 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Depth Estimation (Q) | 1164 | 1164 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Style Transfer (SP) | 1833 | 1833 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Style Transfer (HP) | 4027 | 4027 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Style Transfer (Q) | 3992 | 3992 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Super-Resolution (SP) | 457 | 457 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Super-Resolution (HP) | 742 | 742 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Super-Resolution (Q) | 778 | 778 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Text Classification (SP) | 10 | 10 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Text Classification (HP) | 10 | 10 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Text Classification (Q) | 9 | 9 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Machine Translation (SP) | 263 | 263 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Machine Translation (HP) | 339 | 339 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Machine Translation (Q) | 84 | 84 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
