ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
1606
Single Precision Score
994
Half Precision Score
4167
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 05:40 PM |
| Views | 2 |
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% |
898
167.0 IPS |
|
|
Image Classification (HP)
|
100% |
393
73.1 IPS |
|
|
Image Classification (Q)
|
100% |
2463
458.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
517
8.39 IPS |
|
|
Image Segmentation (Q)
|
99% |
2429
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1700
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
1208
1.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
6442
7.55 IPS |
|
|
Object Detection (SP)
|
100% |
887
70.4 IPS |
|
|
Object Detection (HP)
|
100% |
447
35.4 IPS |
|
|
Object Detection (Q)
|
88% |
2466
197.7 IPS |
|
|
Face Detection (SP)
|
100% |
2721
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
1197
14.2 IPS |
|
|
Face Detection (Q)
|
100% |
6544
77.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2322
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1293
9.96 IPS |
|
|
Depth Estimation (Q)
|
89% |
6905
53.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5850
7.52 IPS |
|
|
Style Transfer (HP)
|
100% |
4096
5.27 IPS |
|
|
Style Transfer (Q)
|
98% |
22058
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1018
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1200
44.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3482
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
1130
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (Q)
|
92% |
2856
3.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1771
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1485
25.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1679
28.9 IPS |
