GEEKOM GT1 Mega
Geekbench AI Score
3123
Single Precision Score
1318
Half Precision Score
6010
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 14 2026 04:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM GT1 Mega |
| Motherboard | Default string GT1 Mega |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2702
502.6 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.4 IPS |
|
|
Image Classification (Q)
|
99% |
5232
975.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7398
120.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4873
5.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3785
4.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
17554
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (HP)
|
100% |
587
46.6 IPS |
|
|
Object Detection (Q)
|
86% |
4603
370.0 IPS |
|
|
Face Detection (SP)
|
100% |
6435
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
1310
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
7374
87.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6299
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1761
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12077
96.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12374
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8579
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19899
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2170
80.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1684
62.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3837
142.1 IPS |
|
|
Text Classification (SP)
|
100% |
1353
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
667
890.6 IPS |
|
|
Text Classification (Q)
|
97% |
1249
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1618
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2317
46.6 IPS |
