ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
1843
Single Precision Score
1032
Half Precision Score
4614
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | urostor |
| Upload Date | December 10 2024 10:57 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1793
333.4 IPS |
|
|
Image Classification (HP)
|
100% |
771
143.4 IPS |
|
|
Image Classification (Q)
|
100% |
4869
905.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4486
72.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3246
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1357
1.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
6350
7.44 IPS |
|
|
Object Detection (SP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (HP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (Q)
|
88% |
2438
195.5 IPS |
|
|
Face Detection (SP)
|
100% |
2730
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
1182
14.0 IPS |
|
|
Face Detection (Q)
|
100% |
6700
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2204
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1190
9.17 IPS |
|
|
Depth Estimation (Q)
|
89% |
7081
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4834
6.21 IPS |
|
|
Style Transfer (HP)
|
100% |
3241
4.17 IPS |
|
|
Style Transfer (Q)
|
98% |
17879
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
963
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
665
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3572
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
1115
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
852
1.14 KIPS |
|
|
Text Classification (Q)
|
92% |
2833
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1459
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1189
20.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1507
26.0 IPS |
