GEEKOM GT2 Mega
Geekbench AI Score
3667
Single Precision Score
1505
Half Precision Score
6636
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 26 2025 12:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM GT2 Mega |
| Motherboard | Geekom GT2 Mega |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2888
537.1 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.8 IPS |
|
|
Image Classification (Q)
|
99% |
5677
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1574
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
999
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8323
135.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6316
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
4475
5.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
20772
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
2618
207.6 IPS |
|
|
Object Detection (HP)
|
100% |
655
52.0 IPS |
|
|
Object Detection (Q)
|
86% |
5928
476.4 IPS |
|
|
Face Detection (SP)
|
100% |
6974
82.9 IPS |
|
|
Face Detection (HP)
|
100% |
1626
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
8515
101.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7805
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1928
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
13256
105.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15108
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10493
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18569
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2446
90.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1909
70.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3600
133.3 IPS |
|
|
Text Classification (SP)
|
100% |
1489
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
668
891.0 IPS |
|
|
Text Classification (Q)
|
97% |
1295
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1958
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
920
15.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2913
58.5 IPS |
