samsung SM-A166P vs samsung SM-A166P
| samsung SM-A166P | samsung SM-A166P | Difference | |
|---|---|---|---|
| Single Precision | 512 | 512 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Half Precision | 513 | 513 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Quantized | 969 | 969 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| samsung SM-A166P | samsung SM-A166P | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | samsung SM-A166P | samsung SM-A166P |
| 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 4 part 3339 revision 0 | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Motherboard | a16xm | a16xm |
| Memory | 7.32 GB | 7.32 GB |
AI Performance
| samsung SM-A166P | samsung SM-A166P | Difference | |
|---|---|---|---|
| Image Classification (SP) | 233 | 233 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Image Classification (HP) | 232 | 232 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Image Classification (Q) | 683 | 683 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Image Segmentation (SP) | 282 | 282 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Image Segmentation (HP) | 282 | 282 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Image Segmentation (Q) | 745 | 745 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Pose Estimation (SP) | 1104 | 1104 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Pose Estimation (HP) | 1102 | 1102 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Pose Estimation (Q) | 1709 | 1709 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Object Detection (SP) | 234 | 234 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Object Detection (HP) | 233 | 233 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Object Detection (Q) | 656 | 656 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Face Detection (SP) | 728 | 728 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Face Detection (HP) | 734 | 734 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Face Detection (Q) | 1538 | 1538 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Depth Estimation (SP) | 908 | 908 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Depth Estimation (HP) | 924 | 924 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Depth Estimation (Q) | 1507 | 1507 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Style Transfer (SP) | 1814 | 1814 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Style Transfer (HP) | 1875 | 1875 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Style Transfer (Q) | 3874 | 3874 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Image Super-Resolution (SP) | 474 | 474 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Image Super-Resolution (HP) | 474 | 474 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Image Super-Resolution (Q) | 897 | 897 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Text Classification (SP) | 275 | 275 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Text Classification (HP) | 272 | 272 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Text Classification (Q) | 479 | 479 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Machine Translation (SP) | 467 | 467 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Machine Translation (HP) | 464 | 464 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
| Machine Translation (Q) | 334 | 334 | 100.0% |
| samsung SM-A166P | |||
| samsung SM-A166P | |||
