ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
2400
Single Precision Score
1243
Half Precision Score
4894
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | chieronymi |
| Upload Date | April 25 2025 11:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| 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 256V |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1703
316.7 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.1 IPS |
|
|
Image Classification (Q)
|
99% |
4180
779.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2461
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3055
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2483
2.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
11231
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
100% |
613
48.7 IPS |
|
|
Object Detection (Q)
|
86% |
3969
319.0 IPS |
|
|
Face Detection (SP)
|
100% |
4691
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
1535
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
6865
81.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4273
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1828
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9907
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7708
9.91 IPS |
|
|
Style Transfer (HP)
|
100% |
6320
8.12 IPS |
|
|
Style Transfer (Q)
|
98% |
16086
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1361
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3469
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
1259
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
683
911.9 IPS |
|
|
Text Classification (Q)
|
97% |
1576
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2001
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2878
57.8 IPS |
