ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
2933
Single Precision Score
22375
Half Precision Score
34034
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 10 2025 03:31 PM |
| Views | 4 |
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(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% |
1876
348.9 IPS |
|
|
Image Classification (HP)
|
100% |
11877
2.21 KIPS |
|
|
Image Classification (Q)
|
100% |
16052
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15765
255.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31344
508.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3123
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
100995
117.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
201588
236.1 IPS |
|
|
Object Detection (SP)
|
100% |
1652
131.0 IPS |
|
|
Object Detection (HP)
|
100% |
15791
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
22522
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
5071
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
28096
333.8 IPS |
|
|
Face Detection (Q)
|
100% |
66040
784.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4254
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
67070
516.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
107484
836.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8118
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
200701
258.0 IPS |
|
|
Style Transfer (Q)
|
98% |
300419
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1819
67.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32282
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55216
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2074
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2228
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
1998
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3490
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3873
66.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3881
66.9 IPS |
