samsung SM-S166V vs samsung SM-S166V
| samsung SM-S166V | samsung SM-S166V | Difference | |
|---|---|---|---|
| Single Precision | 313 | 313 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Half Precision | 549 | 549 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Quantized | 460 | 460 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Geekbench AI 1.6.1 | Geekbench AI 1.6.1 | ||
System Information
| samsung SM-S166V | samsung SM-S166V | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | GPU | GPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 16 | Android 16 |
| Model | samsung SM-S166V | samsung SM-S166V |
| 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-S166V | samsung SM-S166V | Difference | |
|---|---|---|---|
| Image Classification (SP) | 190 | 190 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Image Classification (HP) | 406 | 406 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Image Classification (Q) | 326 | 326 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Image Segmentation (SP) | 270 | 270 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Image Segmentation (HP) | 563 | 563 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Image Segmentation (Q) | 522 | 522 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Pose Estimation (SP) | 1134 | 1134 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Pose Estimation (HP) | 2114 | 2114 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Pose Estimation (Q) | 2092 | 2092 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Object Detection (SP) | 175 | 175 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Object Detection (HP) | 326 | 326 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Object Detection (Q) | 304 | 304 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Face Detection (SP) | 610 | 610 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Face Detection (HP) | 1172 | 1172 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Face Detection (Q) | 1068 | 1068 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Depth Estimation (SP) | 764 | 764 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Depth Estimation (HP) | 1482 | 1482 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Depth Estimation (Q) | 1164 | 1164 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Style Transfer (SP) | 1839 | 1839 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Style Transfer (HP) | 4022 | 4022 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Style Transfer (Q) | 4012 | 4012 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Image Super-Resolution (SP) | 410 | 410 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Image Super-Resolution (HP) | 771 | 771 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Image Super-Resolution (Q) | 741 | 741 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Text Classification (SP) | 10 | 10 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Text Classification (HP) | 9 | 9 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Text Classification (Q) | 13 | 13 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Machine Translation (SP) | 259 | 259 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Machine Translation (HP) | 330 | 330 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Machine Translation (Q) | 83 | 83 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
