ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA
Geekbench AI Score
9998
Single Precision Score
22733
Half Precision Score
30392
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Paul2e |
| Upload Date | November 12 2025 07:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) (iGPU) |
| 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% |
7052
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
10817
2.01 KIPS |
|
|
Image Classification (Q)
|
100% |
16824
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9001
145.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19106
309.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26143
423.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
25501
29.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
103359
120.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
194293
227.5 IPS |
|
|
Object Detection (SP)
|
100% |
6766
536.7 IPS |
|
|
Object Detection (HP)
|
100% |
12412
984.5 IPS |
|
|
Object Detection (Q)
|
88% |
18104
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
12850
152.7 IPS |
|
|
Face Detection (HP)
|
100% |
25050
297.6 IPS |
|
|
Face Detection (Q)
|
100% |
39405
468.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22797
175.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
45680
351.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
66886
519.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32437
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
173189
222.6 IPS |
|
|
Style Transfer (Q)
|
98% |
265807
342.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10453
386.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31582
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38572
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (Q)
|
92% |
2916
3.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3083
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5459
94.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5517
95.0 IPS |
