GEEKOM XT12 Pro
Geekbench AI Score
2827
Single Precision Score
1094
Half Precision Score
5374
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 07 2025 05:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900HK |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM XT12 Pro |
| Motherboard | Default string XT12 Pro |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900HK |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.8 IPS |
|
|
Image Classification (Q)
|
99% |
4063
757.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6086
99.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4711
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2987
3.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
15742
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2150
170.5 IPS |
|
|
Object Detection (HP)
|
100% |
519
41.2 IPS |
|
|
Object Detection (Q)
|
86% |
4229
339.9 IPS |
|
|
Face Detection (SP)
|
100% |
5724
68.0 IPS |
|
|
Face Detection (HP)
|
100% |
1184
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
6826
81.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6248
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1538
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10892
86.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11311
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7246
9.32 IPS |
|
|
Style Transfer (Q)
|
98% |
16919
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1941
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1404
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3878
143.6 IPS |
|
|
Text Classification (SP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
514
685.8 IPS |
|
|
Text Classification (Q)
|
97% |
1103
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1536
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2269
45.6 IPS |
