ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
4869
Single Precision Score
4832
Half Precision Score
12110
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 22 2025 06:44 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% |
2749
511.2 IPS |
|
|
Image Classification (HP)
|
100% |
2811
522.8 IPS |
|
|
Image Classification (Q)
|
100% |
7801
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3747
60.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3405
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8690
140.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6337
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
6401
7.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
28246
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
2905
230.4 IPS |
|
|
Object Detection (HP)
|
100% |
2925
232.0 IPS |
|
|
Object Detection (Q)
|
88% |
7182
575.7 IPS |
|
|
Face Detection (SP)
|
100% |
7642
90.8 IPS |
|
|
Face Detection (HP)
|
100% |
7579
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
21434
254.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8376
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8086
62.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
20749
161.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18456
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19246
24.7 IPS |
|
|
Style Transfer (Q)
|
98% |
64057
82.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4112
151.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4162
153.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13344
494.2 IPS |
|
|
Text Classification (SP)
|
100% |
2528
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (Q)
|
92% |
3535
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3216
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3014
51.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3672
63.3 IPS |
