ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
5265
Single Precision Score
5348
Half Precision Score
12407
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Lyth03 |
| Upload Date | July 06 2025 11:58 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| 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% |
3438
639.4 IPS |
|
|
Image Classification (HP)
|
100% |
3863
718.4 IPS |
|
|
Image Classification (Q)
|
100% |
8717
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4150
67.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8580
139.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7260
8.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
6799
7.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
25552
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
2803
222.3 IPS |
|
|
Object Detection (HP)
|
100% |
3528
279.8 IPS |
|
|
Object Detection (Q)
|
88% |
9127
731.6 IPS |
|
|
Face Detection (SP)
|
100% |
8747
103.9 IPS |
|
|
Face Detection (HP)
|
100% |
9881
117.4 IPS |
|
|
Face Detection (Q)
|
100% |
17513
208.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7815
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8302
64.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
21760
169.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20653
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19001
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
69203
89.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3770
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4240
156.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13212
489.3 IPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2608
3.48 KIPS |
|
|
Text Classification (Q)
|
92% |
5107
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3256
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4887
84.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2786
48.0 IPS |
