samsung SM-A166W vs iPhone 17 Pro
| samsung SM-A166W | iPhone 17 Pro | Difference | |
|---|---|---|---|
| Single Precision | 401 | 5003 | 8.0% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Half Precision | 392 | 8144 | 4.8% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Quantized | 734 | 6401 | 11.5% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.6.1 | ||
System Information
| samsung SM-A166W | iPhone 17 Pro | |
|---|---|---|
| AI Framework | TensorFlow Lite | Core ML |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | Apple A19 Pro |
| Operating System | Android 15 | iOS 26.3 |
| Model | samsung SM-A166W | iPhone 17 Pro |
| Processor |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
Apple A19 Pro @ 4.26 GHz
1 Processor, 6 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 | ARM |
| Motherboard | s5e8535 | V53AP |
| Memory | 3.37 GB | 11.45 GB |
AI Performance
| samsung SM-A166W | iPhone 17 Pro | Difference | |
|---|---|---|---|
| Image Classification (SP) | 224 | 2295 | 9.8% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Image Classification (HP) | 211 | 3629 | 5.8% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Image Classification (Q) | 581 | 2430 | 23.9% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Image Segmentation (SP) | 257 | 2047 | 12.6% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Image Segmentation (HP) | 244 | 2963 | 8.2% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Image Segmentation (Q) | 603 | 3358 | 18.0% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Pose Estimation (SP) | 839 | 10121 | 8.3% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Pose Estimation (HP) | 819 | 18274 | 4.5% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Pose Estimation (Q) | 1196 | 15649 | 7.6% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Object Detection (SP) | 160 | 2534 | 6.3% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Object Detection (HP) | 160 | 4001 | 4.0% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Object Detection (Q) | 470 | 2701 | 17.4% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Face Detection (SP) | 545 | 4440 | 12.3% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Face Detection (HP) | 583 | 8252 | 7.1% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Face Detection (Q) | 1143 | 4239 | 27.0% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Depth Estimation (SP) | 725 | 8205 | 8.8% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Depth Estimation (HP) | 682 | 13850 | 4.9% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Depth Estimation (Q) | 1120 | 9624 | 11.6% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Style Transfer (SP) | 1386 | 23439 | 5.9% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Style Transfer (HP) | 1378 | 36062 | 3.8% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Style Transfer (Q) | 2890 | 30072 | 9.6% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Image Super-Resolution (SP) | 416 | 5366 | 7.8% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Image Super-Resolution (HP) | 368 | 6845 | 5.4% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Image Super-Resolution (Q) | 683 | 4843 | 14.1% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Text Classification (SP) | 195 | 3531 | 5.5% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Text Classification (HP) | 190 | 6433 | 3.0% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Text Classification (Q) | 392 | 6277 | 6.2% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Machine Translation (SP) | 320 | 5048 | 6.3% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Machine Translation (HP) | 333 | 9001 | 3.7% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
| Machine Translation (Q) | 235 | 8984 | 2.6% |
| samsung SM-A166W | |||
| iPhone 17 Pro | |||
