samsung SM-A366W vs iPhone 17 Pro Max
| samsung SM-A366W | iPhone 17 Pro Max | Difference | |
|---|---|---|---|
| Single Precision | 138 | 5183 | 2.7% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Half Precision | 138 | 36266 | 0.4% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Quantized | 392 | 50226 | 0.8% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.7.0 | ||
System Information
| samsung SM-A366W | iPhone 17 Pro Max | |
|---|---|---|
| AI Framework | TensorFlow Lite | Core ML |
| AI Backend | NNAPI | Neural Engine |
| AI Device | ARM ARMv8 | Apple A19 Pro |
| Operating System | Android 15 | iOS 26.3 |
| Model | samsung SM-A366W | iPhone 17 Pro Max |
| Processor |
ARM ARMv8 @ 1.80 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 2 | ARM |
| Motherboard | parrot | V54AP |
| Memory | 5.16 GB | 11.42 GB |
AI Performance
| samsung SM-A366W | iPhone 17 Pro Max | Difference | |
|---|---|---|---|
| Image Classification (SP) | 80 | 2371 | 3.4% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Image Classification (HP) | 80 | 16144 | 0.5% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Image Classification (Q) | 256 | 22314 | 1.1% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Image Segmentation (SP) | 110 | 2127 | 5.2% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Image Segmentation (HP) | 110 | 20202 | 0.5% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Image Segmentation (Q) | 299 | 25602 | 1.2% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Pose Estimation (SP) | 139 | 10646 | 1.3% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Pose Estimation (HP) | 139 | 160191 | 0.1% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Pose Estimation (Q) | 569 | 297681 | 0.2% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Object Detection (SP) | 79 | 2644 | 3.0% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Object Detection (HP) | 79 | 17596 | 0.4% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Object Detection (Q) | 267 | 25092 | 1.1% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Face Detection (SP) | 232 | 4687 | 4.9% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Face Detection (HP) | 232 | 41033 | 0.6% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Face Detection (Q) | 619 | 58114 | 1.1% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Depth Estimation (SP) | 183 | 8615 | 2.1% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Depth Estimation (HP) | 183 | 106206 | 0.2% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Depth Estimation (Q) | 514 | 168021 | 0.3% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Style Transfer (SP) | 330 | 25152 | 1.3% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Style Transfer (HP) | 330 | 259819 | 0.1% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Style Transfer (Q) | 1045 | 350184 | 0.3% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Image Super-Resolution (SP) | 85 | 5658 | 1.5% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Image Super-Resolution (HP) | 86 | 56372 | 0.2% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Image Super-Resolution (Q) | 328 | 86121 | 0.4% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Text Classification (SP) | 112 | 3304 | 3.4% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Text Classification (HP) | 111 | 6107 | 1.8% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Text Classification (Q) | 277 | 6611 | 4.2% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Machine Translation (SP) | 197 | 5191 | 3.8% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Machine Translation (HP) | 197 | 10985 | 1.8% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
| Machine Translation (Q) | 246 | 12299 | 2.0% |
| samsung SM-A366W | |||
| iPhone 17 Pro Max | |||
