iPad (9th generation) | GEEKOM GT1 Mega | Difference | |
---|---|---|---|
Single Precision | 1194 | 3174 | 37.6% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Half Precision | 3574 | 1419 | 251.9% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Quantized | 747 | 4732 | 15.8% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Geekbench AI 1.2.0 | Geekbench AI 1.1.0 |
iPad (9th generation) | GEEKOM GT1 Mega | |
---|---|---|
AI Framework | Core ML | ONNX |
AI Backend | Neural Engine | CPU |
AI Device | Apple A13 Bionic | Intel Core Ultra 9 185H |
Operating System | iOS 18.3.2 | Microsoft Windows 11 Professionnel (64-bit) |
Model | iPad (9th generation) | GEEKOM GT1 Mega |
Processor |
Apple A13 Bionic @ 2.66 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 | J181AP | Default string GT1 Mega |
Northbridge | ||
Southbridge | ||
BIOS | American Megatrends International, LLC. 0.50 | |
Memory | 2.87 GB | 32.00 GB |
iPad (9th generation) | GEEKOM GT1 Mega | Difference | |
---|---|---|---|
Image Classification (SP) | 549 | 1865 | 29.4% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Image Classification (HP) | 2691 | 467 | 576.2% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Image Classification (Q) | 277 | 3480 | 8.0% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Image Segmentation (SP) | 435 | 1633 | 26.6% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Image Segmentation (HP) | 488 | 1065 | 45.8% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Image Segmentation (Q) | 310 | 3418 | 9.1% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Pose Estimation (SP) | 3280 | 6031 | 54.4% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Pose Estimation (HP) | 28455 | 4022 | 707.5% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Pose Estimation (Q) | 3427 | 22116 | 15.5% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Object Detection (SP) | 575 | 2055 | 28.0% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Object Detection (HP) | 2441 | 595 | 410.3% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Object Detection (Q) | 292 | 1877 | 15.6% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Face Detection (SP) | 1120 | 3761 | 29.8% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Face Detection (HP) | 6924 | 1545 | 448.2% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Face Detection (Q) | 417 | 4253 | 9.8% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Depth Estimation (SP) | 2012 | 7051 | 28.5% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Depth Estimation (HP) | 23537 | 2081 | 1131.0% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Depth Estimation (Q) | 1080 | 8203 | 13.2% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Style Transfer (SP) | 5202 | 13922 | 37.4% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Style Transfer (HP) | 10735 | 10218 | 105.1% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Style Transfer (Q) | 4649 | 20782 | 22.4% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Image Super-Resolution (SP) | 1690 | 2547 | 66.4% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Image Super-Resolution (HP) | 4358 | 1903 | 229.0% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Image Super-Resolution (Q) | 633 | 3974 | 15.9% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Text Classification (SP) | 764 | 1520 | 50.3% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Text Classification (HP) | 460 | 683 | 67.3% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Text Classification (Q) | 454 | 1598 | 28.4% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Machine Translation (SP) | 864 | 1924 | 44.9% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Machine Translation (HP) | 1064 | 654 | 162.7% |
iPad (9th generation) | |||
GEEKOM GT1 Mega | |||
Machine Translation (Q) | 1056 | 2478 | 42.6% |
iPad (9th generation) | |||
GEEKOM GT1 Mega |