ASUS Zenbook S 14 ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
2898
Single Precision Score
19976
Half Precision Score
26546
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 22 2025 10:06 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1941
360.9 IPS |
|
|
Image Classification (HP)
|
100% |
11105
2.07 KIPS |
|
|
Image Classification (Q)
|
100% |
14667
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2075
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11259
182.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
17568
284.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3187
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
94808
110.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
190981
223.7 IPS |
|
|
Object Detection (SP)
|
100% |
1762
139.8 IPS |
|
|
Object Detection (HP)
|
100% |
13963
1.11 KIPS |
|
|
Object Detection (Q)
|
87% |
18005
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
5356
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
27573
327.6 IPS |
|
|
Face Detection (Q)
|
100% |
43601
518.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4368
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
64828
499.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
102866
800.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8238
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
181149
232.9 IPS |
|
|
Style Transfer (Q)
|
98% |
251675
324.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22464
829.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37721
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2165
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2602
3.47 KIPS |
|
|
Text Classification (Q)
|
92% |
1431
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2277
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3230
55.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3219
55.5 IPS |
