ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
5010
Single Precision Score
5030
Half Precision Score
13254
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | danquintanilla |
| Upload Date | November 22 2025 01:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| 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 9 365 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2940
546.8 IPS |
|
|
Image Classification (HP)
|
100% |
3083
573.4 IPS |
|
|
Image Classification (Q)
|
100% |
8549
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3770
61.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3718
60.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10009
162.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6390
7.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
6401
7.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
25641
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
2987
236.9 IPS |
|
|
Object Detection (HP)
|
100% |
2977
236.2 IPS |
|
|
Object Detection (Q)
|
88% |
8519
682.9 IPS |
|
|
Face Detection (SP)
|
100% |
7996
95.0 IPS |
|
|
Face Detection (HP)
|
100% |
7996
95.0 IPS |
|
|
Face Detection (Q)
|
100% |
24657
293.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8109
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8144
62.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
21815
169.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17421
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17559
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
66122
85.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3747
138.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12648
468.4 IPS |
|
|
Text Classification (SP)
|
100% |
2748
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
2706
3.61 KIPS |
|
|
Text Classification (Q)
|
92% |
3685
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4076
70.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4099
70.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5402
93.1 IPS |
