iPhone 15 Pro vs GEEKOM NX14CM
| iPhone 15 Pro | GEEKOM NX14CM | Difference | |
|---|---|---|---|
| Single Precision | 3949 | 7925 | 49.8% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Half Precision | 25151 | 12380 | 203.2% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Quantized | 35354 | 18410 | 192.0% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.6.0 | ||
System Information
| iPhone 15 Pro | GEEKOM NX14CM | |
|---|---|---|
| AI Framework | Core ML | OpenVINO |
| AI Backend | Neural Engine | GPU |
| AI Device | Apple A17 Pro | Intel(R) Arc(TM) Graphics (iGPU) |
| Operating System | iOS 18.5 | Microsoft Windows 11 Pro (64-bit) |
| Model | iPhone 15 Pro | GEEKOM NX14CM |
| Processor |
Apple A17 Pro @ 3.78 GHz
1 Processor, 6 Cores |
Intel Core Ultra 9 185H @ 2.50 GHz
1 Processor, 16 Cores, 22 Threads |
| Processor ID | ARM | GenuineIntel Family 6 Model 170 Stepping 4 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | D83AP | GEEKOM NX14C |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends International, LLC. 2.11 | |
| Memory | 7.50 GB | 32.00 GB |
AI Performance
| iPhone 15 Pro | GEEKOM NX14CM | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1700 | 4834 | 35.2% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Image Classification (HP) | 10752 | 7624 | 141.0% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Image Classification (Q) | 15140 | 9418 | 160.8% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Image Segmentation (SP) | 1611 | 5052 | 31.9% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Image Segmentation (HP) | 16493 | 12518 | 131.8% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Image Segmentation (Q) | 21272 | 17436 | 122.0% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Pose Estimation (SP) | 7790 | 20862 | 37.3% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Pose Estimation (HP) | 105583 | 18990 | 556.0% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Pose Estimation (Q) | 207039 | 64814 | 319.4% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Object Detection (SP) | 1780 | 4951 | 36.0% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Object Detection (HP) | 13886 | 8810 | 157.6% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Object Detection (Q) | 20071 | 12029 | 166.9% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Face Detection (SP) | 3180 | 10580 | 30.1% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Face Detection (HP) | 33874 | 19902 | 170.2% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Face Detection (Q) | 51953 | 32460 | 160.1% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Depth Estimation (SP) | 6996 | 19512 | 35.9% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Depth Estimation (HP) | 78678 | 34736 | 226.5% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Depth Estimation (Q) | 127273 | 36178 | 351.8% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Style Transfer (SP) | 21335 | 51999 | 41.0% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Style Transfer (HP) | 201958 | 63134 | 319.9% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Style Transfer (Q) | 250885 | 178569 | 140.5% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Image Super-Resolution (SP) | 4880 | 8369 | 58.3% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Image Super-Resolution (HP) | 35365 | 13732 | 257.5% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Image Super-Resolution (Q) | 55042 | 20864 | 263.8% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Text Classification (SP) | 3258 | 1422 | 229.1% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Text Classification (HP) | 3132 | 2377 | 131.8% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Text Classification (Q) | 3315 | 2112 | 157.0% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Machine Translation (SP) | 3224 | 3036 | 106.2% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Machine Translation (HP) | 6535 | 3719 | 175.7% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
| Machine Translation (Q) | 7531 | 3781 | 199.2% |
| iPhone 15 Pro | |||
| GEEKOM NX14CM | |||
