ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
1558
Single Precision Score
706
Half Precision Score
2953
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 06:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA |
| Motherboard | ASUSTeK COMPUTER INC. UX8406CA |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
1169
217.4 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.8 IPS |
|
|
Image Classification (Q)
|
99% |
2241
418.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
1620
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2772
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1849
2.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
8792
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
987
78.3 IPS |
|
|
Object Detection (HP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (Q)
|
86% |
2622
210.7 IPS |
|
|
Face Detection (SP)
|
100% |
3091
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
769
9.14 IPS |
|
|
Face Detection (Q)
|
97% |
4552
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2775
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
968
7.46 IPS |
|
|
Depth Estimation (Q)
|
78% |
4509
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6581
8.46 IPS |
|
|
Style Transfer (HP)
|
100% |
5058
6.50 IPS |
|
|
Style Transfer (Q)
|
98% |
10952
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
929
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
688
25.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1866
69.1 IPS |
|
|
Text Classification (SP)
|
100% |
687
917.3 IPS |
|
|
Text Classification (HP)
|
100% |
433
577.6 IPS |
|
|
Text Classification (Q)
|
97% |
925
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.21 IPS |
|
|
Machine Translation (Q)
|
65% |
1553
31.2 IPS |
