ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
4197
Single Precision Score
9481
Half Precision Score
14459
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Paul2e |
| Upload Date | November 12 2025 07:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA |
| Motherboard | ASUSTeK COMPUTER INC. UX8406CA |
| Power Plan | Balanced |
| 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% |
2391
444.6 IPS |
|
|
Image Classification (HP)
|
100% |
6517
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
8881
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3923
63.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2896
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3959
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6570
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
34138
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
74190
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
2042
162.0 IPS |
|
|
Object Detection (HP)
|
100% |
5925
470.0 IPS |
|
|
Object Detection (Q)
|
87% |
9773
784.4 IPS |
|
|
Face Detection (SP)
|
100% |
6242
74.2 IPS |
|
|
Face Detection (HP)
|
100% |
15518
184.4 IPS |
|
|
Face Detection (Q)
|
100% |
27539
327.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7361
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19127
147.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
34780
270.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17286
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
53653
69.0 IPS |
|
|
Style Transfer (Q)
|
98% |
97528
125.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2898
107.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13980
516.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24802
918.5 IPS |
|
|
Text Classification (SP)
|
100% |
2432
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1725
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
1724
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2411
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4007
69.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3923
67.6 IPS |
