ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA
Geekbench AI Score
2704
Single Precision Score
2580
Half Precision Score
6065
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 17 2025 08:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
1611
299.6 IPS |
|
|
Image Classification (HP)
|
100% |
1595
296.7 IPS |
|
|
Image Classification (Q)
|
100% |
4725
878.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2566
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2625
42.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4883
79.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5311
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
3648
4.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
12029
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1278
101.4 IPS |
|
|
Object Detection (HP)
|
100% |
1299
103.0 IPS |
|
|
Object Detection (Q)
|
88% |
3371
270.2 IPS |
|
|
Face Detection (SP)
|
100% |
4250
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
4336
51.5 IPS |
|
|
Face Detection (Q)
|
100% |
8568
101.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3845
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3708
28.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
9324
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10329
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10689
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
35950
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1887
69.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1839
67.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6019
222.9 IPS |
|
|
Text Classification (SP)
|
100% |
1395
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1286
1.72 KIPS |
|
|
Text Classification (Q)
|
92% |
2498
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1681
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1625
28.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1667
28.7 IPS |
