ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
2672
Single Precision Score
28435
Half Precision Score
47611
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 04:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
1700
316.1 IPS |
|
|
Image Classification (HP)
|
100% |
14730
2.74 KIPS |
|
|
Image Classification (Q)
|
100% |
20878
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19097
309.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32957
534.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2624
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
110347
128.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
243717
285.5 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
100% |
17387
1.38 KIPS |
|
|
Object Detection (Q)
|
88% |
26638
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4683
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
41164
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
95222
1.13 KIPS |
|
|
Depth Estimation (SP)
|
100% |
3873
29.8 IPS |
|
|
Depth Estimation (HP)
|
92% |
81589
632.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
154819
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
7603
9.77 IPS |
|
|
Style Transfer (HP)
|
100% |
236042
303.4 IPS |
|
|
Style Transfer (Q)
|
98% |
413651
533.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1685
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41693
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80204
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
1987
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2879
3.84 KIPS |
|
|
Text Classification (Q)
|
92% |
3620
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2864
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6729
115.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7569
130.4 IPS |
