ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
3024
Single Precision Score
9694
Half Precision Score
14812
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 06:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 | 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% |
1504
279.7 IPS |
|
|
Image Classification (HP)
|
100% |
6584
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
9065
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2595
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2809
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3658
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4519
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
33956
39.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
72882
85.4 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
100% |
6046
479.6 IPS |
|
|
Object Detection (Q)
|
87% |
9893
794.0 IPS |
|
|
Face Detection (SP)
|
100% |
5128
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
16087
191.1 IPS |
|
|
Face Detection (Q)
|
100% |
31170
370.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5001
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18974
146.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
35238
274.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13909
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
53075
68.2 IPS |
|
|
Style Transfer (Q)
|
98% |
95327
122.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2289
84.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14192
524.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23930
886.2 IPS |
|
|
Text Classification (SP)
|
100% |
1596
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2012
2.69 KIPS |
|
|
Text Classification (Q)
|
92% |
1994
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1765
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4176
71.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4258
73.3 IPS |
