ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA
Geekbench AI Score
2283
Single Precision Score
1235
Half Precision Score
3756
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Sysadmin25 |
| Upload Date | October 29 2024 01:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1431
266.0 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.7 IPS |
|
|
Image Classification (Q)
|
99% |
2746
512.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
901
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2398
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3203
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2626
3.06 IPS |
|
|
Pose Estimation (Q)
|
95% |
11918
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1486
117.9 IPS |
|
|
Object Detection (HP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (Q)
|
88% |
1601
128.3 IPS |
|
|
Face Detection (SP)
|
100% |
3244
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
1524
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
3811
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4000
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1804
13.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
6090
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7575
9.74 IPS |
|
|
Style Transfer (HP)
|
100% |
6388
8.21 IPS |
|
|
Style Transfer (Q)
|
98% |
16229
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1440
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3457
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
1291
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
636
849.4 IPS |
|
|
Text Classification (Q)
|
97% |
1644
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2000
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2082
46.4 IPS |
