ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
5361
Single Precision Score
9800
Half Precision Score
14973
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Lyth03 |
| Upload Date | July 06 2025 11:56 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
3397
631.8 IPS |
|
|
Image Classification (HP)
|
100% |
6911
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9439
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4190
67.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2891
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3941
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7277
8.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
34147
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
73762
86.4 IPS |
|
|
Object Detection (SP)
|
100% |
2870
227.6 IPS |
|
|
Object Detection (HP)
|
100% |
6073
481.7 IPS |
|
|
Object Detection (Q)
|
87% |
9928
796.8 IPS |
|
|
Face Detection (SP)
|
100% |
8936
106.2 IPS |
|
|
Face Detection (HP)
|
100% |
15723
186.8 IPS |
|
|
Face Detection (Q)
|
100% |
27906
331.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8021
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19156
147.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
35504
276.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20724
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
52941
68.1 IPS |
|
|
Style Transfer (Q)
|
98% |
94341
121.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3829
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14133
521.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25561
946.6 IPS |
|
|
Text Classification (SP)
|
100% |
3349
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2162
2.89 KIPS |
|
|
Text Classification (Q)
|
92% |
2150
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3468
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4051
69.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4049
69.7 IPS |
