ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
2946
Single Precision Score
2070
Half Precision Score
7674
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Isochrone |
| Upload Date | January 25 2026 05:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA |
| Motherboard | ASUSTeK COMPUTER INC. UX5406SA |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1876
348.8 IPS |
|
|
Image Classification (HP)
|
100% |
1343
249.7 IPS |
|
|
Image Classification (Q)
|
100% |
5243
975.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1070
17.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4789
77.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3164
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1996
2.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
10638
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1745
138.4 IPS |
|
|
Object Detection (HP)
|
100% |
1242
98.5 IPS |
|
|
Object Detection (Q)
|
88% |
5127
411.0 IPS |
|
|
Face Detection (SP)
|
100% |
5198
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
4077
48.4 IPS |
|
|
Face Detection (Q)
|
100% |
12913
153.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4464
34.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3040
23.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
13038
101.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8549
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
5823
7.49 IPS |
|
|
Style Transfer (Q)
|
98% |
32918
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1928
71.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1411
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7019
259.9 IPS |
|
|
Text Classification (SP)
|
100% |
2047
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1471
1.96 KIPS |
|
|
Text Classification (Q)
|
92% |
4353
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3104
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2715
46.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3055
52.6 IPS |
