samsung SM-S166V vs samsung SM-S166V
| samsung SM-S166V | samsung SM-S166V | Difference | |
|---|---|---|---|
| Single Precision | 200 | 200 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Half Precision | 182 | 182 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Quantized | 500 | 500 | 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 | NNAPI | NNAPI |
| 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) | 122 | 122 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Image Classification (HP) | 123 | 123 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Image Classification (Q) | 327 | 327 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Image Segmentation (SP) | 168 | 168 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Image Segmentation (HP) | 169 | 169 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Image Segmentation (Q) | 372 | 372 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Pose Estimation (SP) | 220 | 220 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Pose Estimation (HP) | 220 | 220 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Pose Estimation (Q) | 867 | 867 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Object Detection (SP) | 123 | 123 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Object Detection (HP) | 123 | 123 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Object Detection (Q) | 351 | 351 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Face Detection (SP) | 316 | 316 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Face Detection (HP) | 320 | 320 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Face Detection (Q) | 708 | 708 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Depth Estimation (SP) | 270 | 270 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Depth Estimation (HP) | 270 | 270 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Depth Estimation (Q) | 662 | 662 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Style Transfer (SP) | 309 | 309 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Style Transfer (HP) | 121 | 121 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Style Transfer (Q) | 1287 | 1287 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Image Super-Resolution (SP) | 134 | 134 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Image Super-Resolution (HP) | 134 | 134 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Image Super-Resolution (Q) | 459 | 459 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Text Classification (SP) | 176 | 176 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Text Classification (HP) | 175 | 175 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Text Classification (Q) | 339 | 339 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Machine Translation (SP) | 298 | 298 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Machine Translation (HP) | 298 | 298 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
| Machine Translation (Q) | 282 | 282 | 100.0% |
| samsung SM-S166V | |||
| samsung SM-S166V | |||
