samsung SM-A166W vs samsung SM-A166W
| samsung SM-A166W | samsung SM-A166W | Difference | |
|---|---|---|---|
| Single Precision | 135 | 135 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Half Precision | 155 | 155 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Quantized | 371 | 371 | 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 | NNAPI | NNAPI |
| 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) | 117 | 117 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Classification (HP) | 102 | 102 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Classification (Q) | 242 | 242 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Segmentation (SP) | 120 | 120 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Segmentation (HP) | 121 | 121 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Segmentation (Q) | 258 | 258 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Pose Estimation (SP) | 151 | 151 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Pose Estimation (HP) | 151 | 151 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Pose Estimation (Q) | 584 | 584 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Object Detection (SP) | 84 | 84 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Object Detection (HP) | 84 | 84 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Object Detection (Q) | 236 | 236 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Face Detection (SP) | 228 | 228 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Face Detection (HP) | 230 | 230 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Face Detection (Q) | 483 | 483 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Depth Estimation (SP) | 192 | 192 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Depth Estimation (HP) | 192 | 192 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Depth Estimation (Q) | 473 | 473 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Style Transfer (SP) | 70 | 70 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Style Transfer (HP) | 293 | 293 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Style Transfer (Q) | 1015 | 1015 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Super-Resolution (SP) | 102 | 102 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Super-Resolution (HP) | 108 | 108 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Super-Resolution (Q) | 396 | 396 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Text Classification (SP) | 145 | 145 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Text Classification (HP) | 145 | 145 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Text Classification (Q) | 273 | 273 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Machine Translation (SP) | 258 | 258 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Machine Translation (HP) | 261 | 261 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Machine Translation (Q) | 232 | 232 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
