iPad16,1 vs Firebat_Computer A16
| iPad16,1 | Firebat_Computer A16 | Difference | |
|---|---|---|---|
| Single Precision | 2938 | 819 | 358.7% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Half Precision | 5082 | 441 | 1152.4% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Quantized | 4706 | 1429 | 329.3% |
| 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 26.2 | 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) | 1605 | 563 | 285.1% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Image Classification (HP) | 2931 | 201 | 1458.2% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Image Classification (Q) | 1938 | 988 | 196.2% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Image Segmentation (SP) | 1443 | 426 | 338.7% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Image Segmentation (HP) | 2151 | 286 | 752.1% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Image Segmentation (Q) | 2582 | 1261 | 204.8% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Pose Estimation (SP) | 5401 | 1013 | 533.2% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Pose Estimation (HP) | 12313 | 774 | 1590.8% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Pose Estimation (Q) | 10649 | 2297 | 463.6% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Object Detection (SP) | 1235 | 546 | 226.2% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Object Detection (HP) | 1965 | 227 | 865.6% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Object Detection (Q) | 2210 | 973 | 227.1% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Face Detection (SP) | 2557 | 1206 | 212.0% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Face Detection (HP) | 3709 | 499 | 743.3% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Face Detection (Q) | 3442 | 1979 | 173.9% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Depth Estimation (SP) | 5569 | 1433 | 388.6% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Depth Estimation (HP) | 8833 | 627 | 1408.8% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Depth Estimation (Q) | 7699 | 2418 | 318.4% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Style Transfer (SP) | 12322 | 2630 | 468.5% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Style Transfer (HP) | 23791 | 1947 | 1221.9% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Style Transfer (Q) | 20920 | 3855 | 542.7% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Image Super-Resolution (SP) | 3105 | 567 | 547.6% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Image Super-Resolution (HP) | 3985 | 449 | 887.5% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Image Super-Resolution (Q) | 3399 | 1061 | 320.4% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Text Classification (SP) | 2354 | 523 | 450.1% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Text Classification (HP) | 4066 | 311 | 1307.4% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Text Classification (Q) | 4043 | 648 | 623.9% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Machine Translation (SP) | 2423 | 768 | 315.5% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Machine Translation (HP) | 5969 | 330 | 1808.8% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
| Machine Translation (Q) | 5946 | 1012 | 587.5% |
| iPad16,1 | |||
| Firebat_Computer A16 | |||
