ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
5083
Single Precision Score
5098
Half Precision Score
13503
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 22 2025 07:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2806
521.8 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.7 IPS |
|
|
Image Classification (Q)
|
100% |
7842
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3738
60.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3737
60.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9959
161.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7270
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
7370
8.60 IPS |
|
|
Pose Estimation (Q)
|
98% |
29211
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
3059
242.7 IPS |
|
|
Object Detection (HP)
|
100% |
3014
239.1 IPS |
|
|
Object Detection (Q)
|
88% |
8444
676.9 IPS |
|
|
Face Detection (SP)
|
100% |
7628
90.6 IPS |
|
|
Face Detection (HP)
|
100% |
7228
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
23023
273.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8200
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8932
68.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
24743
192.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19104
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18279
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
73775
95.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4106
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4129
152.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13712
507.8 IPS |
|
|
Text Classification (SP)
|
100% |
2833
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2706
3.61 KIPS |
|
|
Text Classification (Q)
|
92% |
3826
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3675
63.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4746
81.8 IPS |
