ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
2934
Single Precision Score
23763
Half Precision Score
34890
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 10:23 AM |
| Views | 10 |
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 | 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% |
1760
327.4 IPS |
|
|
Image Classification (HP)
|
100% |
12531
2.33 KIPS |
|
|
Image Classification (Q)
|
100% |
17372
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17516
284.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
31560
511.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3061
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
106379
124.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
213578
250.2 IPS |
|
|
Object Detection (SP)
|
100% |
1711
135.7 IPS |
|
|
Object Detection (HP)
|
100% |
16154
1.28 KIPS |
|
|
Object Detection (Q)
|
87% |
23108
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
5011
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
31676
376.4 IPS |
|
|
Face Detection (Q)
|
100% |
69231
822.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4461
34.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
68434
527.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
111634
868.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9180
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
205834
264.6 IPS |
|
|
Style Transfer (Q)
|
98% |
282545
364.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1931
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34841
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57156
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2077
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2656
3.55 KIPS |
|
|
Text Classification (Q)
|
92% |
2165
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3436
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3687
63.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3656
63.0 IPS |
