ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
11520
Single Precision Score
30875
Half Precision Score
37231
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Isochrone |
| Upload Date | January 25 2026 05:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
7605
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
15852
2.95 KIPS |
|
|
Image Classification (Q)
|
100% |
20656
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9865
159.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
27767
450.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32664
529.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
23721
27.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
135150
157.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
265074
310.3 IPS |
|
|
Object Detection (SP)
|
100% |
6632
526.1 IPS |
|
|
Object Detection (HP)
|
100% |
18239
1.45 KIPS |
|
|
Object Detection (Q)
|
88% |
24841
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
14213
168.9 IPS |
|
|
Face Detection (HP)
|
100% |
35892
426.5 IPS |
|
|
Face Detection (Q)
|
100% |
51726
614.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24542
189.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
62391
480.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
72612
564.7 IPS |
|
|
Style Transfer (SP)
|
100% |
59862
77.0 IPS |
|
|
Style Transfer (HP)
|
100% |
213522
274.5 IPS |
|
|
Style Transfer (Q)
|
98% |
297393
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10010
369.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35068
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44133
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
4621
6.17 KIPS |
|
|
Text Classification (HP)
|
100% |
6111
8.16 KIPS |
|
|
Text Classification (Q)
|
92% |
3294
4.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3613
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7082
122.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7095
122.2 IPS |
