HONOR FMB-P vs iPad14,6
| HONOR FMB-P | iPad14,6 | Difference | |
|---|---|---|---|
| Single Precision | 4404 | 3440 | 128.0% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Half Precision | 2000 | 26445 | 7.6% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Quantized | 8564 | 28864 | 29.7% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.2.0 | ||
System Information
| HONOR FMB-P | iPad14,6 | |
|---|---|---|
| AI Framework | ONNX | Core ML |
| AI Backend | CPU | Neural Engine |
| AI Device | Intel(R) Core(TM) Ultra 5 225H | ARM |
| Operating System | Microsoft Windows 11 Home (64-bit) | iOS 18.4 |
| Model | HONOR FMB-P | iPad14,6 |
| Processor |
Intel Core Ultra 5 225H @ 1.70 GHz
1 Processor, 14 Cores |
ARM @ 3.48 GHz
1 Processor, 8 Cores |
| Processor ID | GenuineIntel Family 6 Model 197 Stepping 2 | ARM |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | HONOR FMB-P-PCB | J621AP |
| Northbridge | ||
| Southbridge | ||
| BIOS | HONOR 1.13 | |
| Memory | 32.00 GB | 15.35 GB |
AI Performance
| HONOR FMB-P | iPad14,6 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 3177 | 1394 | 227.9% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Image Classification (HP) | 743 | 14548 | 5.1% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Image Classification (Q) | 7845 | 15322 | 51.2% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Image Segmentation (SP) | 1953 | 1477 | 132.2% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Image Segmentation (HP) | 1272 | 19424 | 6.5% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Image Segmentation (Q) | 10106 | 23913 | 42.3% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Pose Estimation (SP) | 7280 | 6820 | 106.7% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Pose Estimation (HP) | 5605 | 101818 | 5.5% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Pose Estimation (Q) | 24673 | 106389 | 23.2% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Object Detection (SP) | 3196 | 1521 | 210.1% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Object Detection (HP) | 923 | 15049 | 6.1% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Object Detection (Q) | 7135 | 16727 | 42.7% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Face Detection (SP) | 9028 | 3126 | 288.8% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Face Detection (HP) | 2076 | 32856 | 6.3% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Face Detection (Q) | 10250 | 41487 | 24.7% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Depth Estimation (SP) | 9191 | 5580 | 164.7% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Depth Estimation (HP) | 2856 | 84321 | 3.4% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Depth Estimation (Q) | 17138 | 103263 | 16.6% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Style Transfer (SP) | 16233 | 18636 | 87.1% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Style Transfer (HP) | 13359 | 201918 | 6.6% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Style Transfer (Q) | 24098 | 188545 | 12.8% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Image Super-Resolution (SP) | 3104 | 3936 | 78.9% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Image Super-Resolution (HP) | 2525 | 42009 | 6.0% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Image Super-Resolution (Q) | 5848 | 45504 | 12.9% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Text Classification (SP) | 1850 | 2302 | 80.4% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Text Classification (HP) | 911 | 3908 | 23.3% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Text Classification (Q) | 1692 | 3850 | 43.9% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Machine Translation (SP) | 2462 | 3698 | 66.6% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Machine Translation (HP) | 1152 | 4207 | 27.4% |
| HONOR FMB-P | |||
| iPad14,6 | |||
| Machine Translation (Q) | 3633 | 4351 | 83.5% |
| HONOR FMB-P | |||
| iPad14,6 | |||
