ASUS Zenbook S 14 ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
2809
Single Precision Score
1662
Half Precision Score
7296
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 22 2025 10:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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% |
1858
345.6 IPS |
|
|
Image Classification (HP)
|
100% |
818
152.2 IPS |
|
|
Image Classification (Q)
|
100% |
5021
933.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1013
16.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4614
74.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3101
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1968
2.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
10497
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1773
140.7 IPS |
|
|
Object Detection (HP)
|
100% |
827
65.6 IPS |
|
|
Object Detection (Q)
|
88% |
5104
409.1 IPS |
|
|
Face Detection (SP)
|
100% |
5198
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
2276
27.0 IPS |
|
|
Face Detection (Q)
|
100% |
11994
142.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4292
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2391
18.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
12855
99.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7846
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5845
7.51 IPS |
|
|
Style Transfer (Q)
|
98% |
33506
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1790
66.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7049
261.0 IPS |
|
|
Text Classification (SP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1423
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
4406
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2082
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1886
32.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2149
37.0 IPS |
