ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
3073
Single Precision Score
3078
Half Precision Score
7358
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | saadzerrai |
| Upload Date | September 09 2025 01:37 PM |
| Views | 8 |
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 Famille (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
| Power Plan | Utilisation normale |
| 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% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
2181
405.6 IPS |
|
|
Image Classification (Q)
|
100% |
4532
842.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1712
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5313
86.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4271
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4257
4.97 IPS |
|
|
Pose Estimation (Q)
|
98% |
18752
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.7 IPS |
|
|
Object Detection (HP)
|
100% |
1806
143.3 IPS |
|
|
Object Detection (Q)
|
88% |
4114
329.8 IPS |
|
|
Face Detection (SP)
|
100% |
5315
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
5632
66.9 IPS |
|
|
Face Detection (Q)
|
100% |
13239
157.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5712
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5466
42.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
12891
100.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12679
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12747
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
32898
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1817
67.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7013
259.7 IPS |
|
|
Text Classification (SP)
|
100% |
1402
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1342
1.79 KIPS |
|
|
Text Classification (Q)
|
92% |
1783
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2678
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2780
47.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3571
61.5 IPS |
