iPad16,1 vs Firebat_Computer A16
| iPad16,1 | Firebat_Computer A16 | Difference | |
|---|---|---|---|
| Single Precision | 3863 | 819 | 471.7% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Half Precision | 6941 | 441 | 1573.9% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Quantized | 5695 | 1429 | 398.5% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.4.0 | ||
System Information
| iPad16,1 | Firebat_Computer A16 | |
|---|---|---|
| AI Framework | Core ML | ONNX |
| AI Backend | CPU | CPU |
| AI Device | ARM | Intel N100 |
| Operating System | iOS 26.1 | Microsoft Windows 11 Pro (64-bit) |
| Model | iPad16,1 | Firebat_Computer A16 |
| Processor |
ARM @ 3.78 GHz
1 Processor, 6 Cores |
Intel N100 @ 800 MHz
1 Processor, 4 Cores |
| Processor ID | ARM | GenuineIntel Family 6 Model 190 Stepping 0 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | J410AP | Default string Default string |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends International, LLC. FW-16-T140ANR200-003-B | |
| Memory | 7.72 GB | 16.00 GB |
AI Performance
| iPad16,1 | Firebat_Computer A16 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1598 | 563 | 283.8% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Image Classification (HP) | 2939 | 201 | 1462.2% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Image Classification (Q) | 2031 | 988 | 205.6% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Image Segmentation (SP) | 1586 | 426 | 372.3% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Image Segmentation (HP) | 2369 | 286 | 828.3% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Image Segmentation (Q) | 3061 | 1261 | 242.7% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Pose Estimation (SP) | 7375 | 1013 | 728.0% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Pose Estimation (HP) | 16029 | 774 | 2070.9% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Pose Estimation (Q) | 13765 | 2297 | 599.3% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Object Detection (SP) | 1679 | 546 | 307.5% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Object Detection (HP) | 3299 | 227 | 1453.3% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Object Detection (Q) | 2361 | 973 | 242.7% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Face Detection (SP) | 3197 | 1206 | 265.1% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Face Detection (HP) | 6883 | 499 | 1379.4% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Face Detection (Q) | 3886 | 1979 | 196.4% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Depth Estimation (SP) | 6709 | 1433 | 468.2% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Depth Estimation (HP) | 12949 | 627 | 2065.2% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Depth Estimation (Q) | 9049 | 2418 | 374.2% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Style Transfer (SP) | 20892 | 2630 | 794.4% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Style Transfer (HP) | 33524 | 1947 | 1721.8% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Style Transfer (Q) | 27548 | 3855 | 714.6% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Image Super-Resolution (SP) | 4575 | 567 | 806.9% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Image Super-Resolution (HP) | 5650 | 449 | 1258.4% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Image Super-Resolution (Q) | 4329 | 1061 | 408.0% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Text Classification (SP) | 3309 | 523 | 632.7% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Text Classification (HP) | 5498 | 311 | 1767.8% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Text Classification (Q) | 5545 | 648 | 855.7% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Machine Translation (SP) | 3477 | 768 | 452.7% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Machine Translation (HP) | 7597 | 330 | 2302.1% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Machine Translation (Q) | 7651 | 1012 | 756.0% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
