ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
3139
Single Precision Score
26150
Half Precision Score
45068
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 24 2025 08:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
1861
346.0 IPS |
|
|
Image Classification (HP)
|
100% |
14656
2.73 KIPS |
|
|
Image Classification (Q)
|
100% |
21428
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19020
308.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30994
502.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3395
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
110696
129.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
241697
283.1 IPS |
|
|
Object Detection (SP)
|
100% |
1840
146.0 IPS |
|
|
Object Detection (HP)
|
100% |
17144
1.36 KIPS |
|
|
Object Detection (Q)
|
88% |
25914
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
5359
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
41726
495.8 IPS |
|
|
Face Detection (Q)
|
100% |
93120
1.11 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4609
35.5 IPS |
|
|
Depth Estimation (HP)
|
92% |
81532
632.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
164441
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
9949
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
236251
303.7 IPS |
|
|
Style Transfer (Q)
|
98% |
399263
514.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2090
77.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32886
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60335
2.23 KIPS |
|
|
Text Classification (SP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1841
2.46 KIPS |
|
|
Text Classification (Q)
|
92% |
3051
4.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5809
100.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7385
127.2 IPS |
