ASUS Zenbook Duo UX8406 ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
4204
Single Precision Score
8913
Half Precision Score
13108
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 09 2025 11:44 AM |
| Views | 5 |
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% |
2399
446.2 IPS |
|
|
Image Classification (HP)
|
100% |
5869
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
8204
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3586
58.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2671
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3505
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7033
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
33268
38.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
70098
82.1 IPS |
|
|
Object Detection (SP)
|
100% |
2069
164.1 IPS |
|
|
Object Detection (HP)
|
100% |
5465
433.5 IPS |
|
|
Object Detection (Q)
|
87% |
8267
663.5 IPS |
|
|
Face Detection (SP)
|
100% |
7256
86.2 IPS |
|
|
Face Detection (HP)
|
100% |
14614
173.6 IPS |
|
|
Face Detection (Q)
|
100% |
23379
277.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6706
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18232
140.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
34033
264.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19166
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
52127
67.0 IPS |
|
|
Style Transfer (Q)
|
98% |
92338
119.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2719
100.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13119
484.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23177
858.3 IPS |
|
|
Text Classification (SP)
|
100% |
2561
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1990
2.66 KIPS |
|
|
Text Classification (Q)
|
92% |
1735
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2122
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3062
52.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3044
52.4 IPS |
