GEEKOM GT1 Mega
Geekbench AI Score
3152
Single Precision Score
1326
Half Precision Score
6172
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 26 2025 12:39 AM |
| 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 | Balanced |
| 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% |
2660
494.6 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.6 IPS |
|
|
Image Classification (Q)
|
99% |
5153
961.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1225
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
903
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7671
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5605
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3867
4.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
17109
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2233
177.1 IPS |
|
|
Object Detection (HP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (Q)
|
86% |
5195
417.5 IPS |
|
|
Face Detection (SP)
|
100% |
6706
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
1355
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
7418
88.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6250
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1795
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12636
100.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11736
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8450
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19209
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2201
81.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4274
158.3 IPS |
|
|
Text Classification (SP)
|
100% |
1285
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
625
834.7 IPS |
|
|
Text Classification (Q)
|
97% |
1200
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2473
49.7 IPS |
