ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
2969
Single Precision Score
2948
Half Precision Score
7339
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Sysadmin25 |
| Upload Date | November 09 2024 12:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 288V |
| 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 9 288V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1933
359.5 IPS |
|
|
Image Classification (HP)
|
100% |
1911
355.3 IPS |
|
|
Image Classification (Q)
|
100% |
5025
934.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4083
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3385
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3282
3.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
12724
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1870
148.3 IPS |
|
|
Object Detection (HP)
|
100% |
1857
147.3 IPS |
|
|
Object Detection (Q)
|
88% |
5095
408.4 IPS |
|
|
Face Detection (SP)
|
100% |
5538
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
5476
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
12562
149.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4675
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4717
36.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
13325
103.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9626
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9686
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
35140
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2098
77.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2017
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7300
270.3 IPS |
|
|
Text Classification (SP)
|
100% |
1840
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1886
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
3494
4.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2322
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2271
39.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2272
39.1 IPS |
