samsung SM-S948U1 vs iPhone 17 Pro Max
| samsung SM-S948U1 | iPhone 17 Pro Max | Difference | |
|---|---|---|---|
| Single Precision | 684 | 9024 | 7.6% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Half Precision | 643 | 16754 | 3.8% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Quantized | 1474 | 17456 | 8.4% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Geekbench AI 1.7.0 | Geekbench AI 1.6.1 | ||
System Information
| samsung SM-S948U1 | iPhone 17 Pro Max | |
|---|---|---|
| AI Framework | TensorFlow Lite | Core ML |
| AI Backend | NNAPI | GPU |
| AI Device | Qualcomm ARMv8 | Apple A19 Pro |
| Operating System | Android 16 | iOS 26.2 |
| Model | samsung SM-S948U1 | iPhone 17 Pro Max |
| Processor |
Qualcomm ARMv8 @ 3.63 GHz
1 Processor, 8 Cores |
Apple A19 Pro @ 4.26 GHz
1 Processor, 6 Cores |
| Processor ID | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 | ARM |
| Motherboard | canoe | V54AP |
| Memory | 14.77 GB | 11.42 GB |
AI Performance
| samsung SM-S948U1 | iPhone 17 Pro Max | Difference | |
|---|---|---|---|
| Image Classification (SP) | 501 | 4284 | 11.7% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Image Classification (HP) | 474 | 8039 | 5.9% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Image Classification (Q) | 1111 | 7491 | 14.8% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Image Segmentation (SP) | 587 | 6062 | 9.7% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Image Segmentation (HP) | 559 | 9533 | 5.9% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Image Segmentation (Q) | 1029 | 10535 | 9.8% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Pose Estimation (SP) | 691 | 20229 | 3.4% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Pose Estimation (HP) | 574 | 53676 | 1.1% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Pose Estimation (Q) | 2412 | 58312 | 4.1% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Object Detection (SP) | 349 | 4408 | 7.9% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Object Detection (HP) | 350 | 8079 | 4.3% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Object Detection (Q) | 953 | 8055 | 11.8% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Face Detection (SP) | 1033 | 11800 | 8.8% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Face Detection (HP) | 941 | 23121 | 4.1% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Face Detection (Q) | 2217 | 17967 | 12.3% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Depth Estimation (SP) | 839 | 17949 | 4.7% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Depth Estimation (HP) | 803 | 35585 | 2.3% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Depth Estimation (Q) | 1824 | 38580 | 4.7% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Style Transfer (SP) | 1383 | 43504 | 3.2% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Style Transfer (HP) | 1298 | 94859 | 1.4% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Style Transfer (Q) | 3515 | 120082 | 2.9% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Image Super-Resolution (SP) | 416 | 10413 | 4.0% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Image Super-Resolution (HP) | 415 | 18485 | 2.2% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Image Super-Resolution (Q) | 1453 | 22348 | 6.5% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Text Classification (SP) | 524 | 3262 | 16.1% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Text Classification (HP) | 525 | 6066 | 8.7% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Text Classification (Q) | 1268 | 6381 | 19.9% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Machine Translation (SP) | 1216 | 4941 | 24.6% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Machine Translation (HP) | 1071 | 5992 | 17.9% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
| Machine Translation (Q) | 704 | 5973 | 11.8% |
| samsung SM-S948U1 | |||
| iPhone 17 Pro Max | |||
