ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA
Geekbench AI Score
6898
Single Precision Score
10983
Half Precision Score
15613
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | UnseenOfDarkcloud |
| Upload Date | February 06 2026 08:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA |
| Motherboard | ASUSTeK COMPUTER INC. UX8406MA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5525
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
7994
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
9235
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12453
201.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17247
279.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
21530
25.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
19602
22.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
33309
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
5164
409.6 IPS |
|
|
Object Detection (HP)
|
100% |
8390
665.5 IPS |
|
|
Object Detection (Q)
|
88% |
11392
912.9 IPS |
|
|
Face Detection (SP)
|
100% |
9946
118.2 IPS |
|
|
Face Detection (HP)
|
100% |
20409
242.5 IPS |
|
|
Face Detection (Q)
|
100% |
29154
346.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19285
148.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
32540
251.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
35497
275.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29185
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30731
39.5 IPS |
|
|
Style Transfer (Q)
|
98% |
168644
217.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9021
333.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12962
478.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17247
638.7 IPS |
|
|
Text Classification (SP)
|
71% |
1124
1.63 KIPS |
|
|
Text Classification (HP)
|
71% |
1995
2.89 KIPS |
|
|
Text Classification (Q)
|
92% |
1759
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2956
51.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2691
46.5 IPS |
