samsung SM-A166W vs samsung SM-A166W
| samsung SM-A166W | samsung SM-A166W | Difference | |
|---|---|---|---|
| Single Precision | 523 | 523 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Half Precision | 516 | 516 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Quantized | 1008 | 1008 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Geekbench AI 1.6.1 | Geekbench AI 1.6.1 | ||
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 16 | Android 16 |
| 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) | 240 | 240 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Classification (HP) | 235 | 235 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Classification (Q) | 761 | 761 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Segmentation (SP) | 311 | 311 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Segmentation (HP) | 310 | 310 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Segmentation (Q) | 870 | 870 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Pose Estimation (SP) | 1179 | 1179 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Pose Estimation (HP) | 1172 | 1172 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Pose Estimation (Q) | 1782 | 1782 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Object Detection (SP) | 228 | 228 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Object Detection (HP) | 229 | 229 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Object Detection (Q) | 689 | 689 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Face Detection (SP) | 700 | 700 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Face Detection (HP) | 783 | 783 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Face Detection (Q) | 1503 | 1503 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Depth Estimation (SP) | 921 | 921 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Depth Estimation (HP) | 941 | 941 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Depth Estimation (Q) | 1553 | 1553 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Style Transfer (SP) | 1892 | 1892 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Style Transfer (HP) | 1821 | 1821 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Style Transfer (Q) | 3797 | 3797 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Super-Resolution (SP) | 533 | 533 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Super-Resolution (HP) | 480 | 480 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Super-Resolution (Q) | 906 | 906 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Text Classification (SP) | 259 | 259 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Text Classification (HP) | 253 | 253 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Text Classification (Q) | 526 | 526 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Machine Translation (SP) | 457 | 457 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Machine Translation (HP) | 422 | 422 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Machine Translation (Q) | 318 | 318 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
