| samsung SM-A166W | samsung SM-A166W | Difference | |
|---|---|---|---|
| Single Precision | 162 | 162 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Half Precision | 167 | 167 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Quantized | 414 | 414 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
| 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 |
| samsung SM-A166W | samsung SM-A166W | Difference | |
|---|---|---|---|
| Image Classification (SP) | 121 | 121 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Classification (HP) | 114 | 114 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Classification (Q) | 313 | 313 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Segmentation (SP) | 164 | 164 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Segmentation (HP) | 165 | 165 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Segmentation (Q) | 363 | 363 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Pose Estimation (SP) | 199 | 199 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Pose Estimation (HP) | 176 | 176 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Pose Estimation (Q) | 747 | 747 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Object Detection (SP) | 106 | 106 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Object Detection (HP) | 106 | 106 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Object Detection (Q) | 303 | 303 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Face Detection (SP) | 290 | 290 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Face Detection (HP) | 283 | 283 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Face Detection (Q) | 625 | 625 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Depth Estimation (SP) | 245 | 245 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Depth Estimation (HP) | 229 | 229 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Depth Estimation (Q) | 518 | 518 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Style Transfer (SP) | 151 | 151 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Style Transfer (HP) | 272 | 272 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Style Transfer (Q) | 946 | 946 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Super-Resolution (SP) | 94 | 94 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Super-Resolution (HP) | 94 | 94 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Image Super-Resolution (Q) | 350 | 350 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Text Classification (SP) | 132 | 132 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Text Classification (HP) | 126 | 126 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Text Classification (Q) | 233 | 233 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Machine Translation (SP) | 231 | 231 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Machine Translation (HP) | 242 | 242 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||
| Machine Translation (Q) | 231 | 231 | 100.0% |
| samsung SM-A166W | |||
| samsung SM-A166W | |||