ASUS Zenbook S16 UM5606GA
Geekbench AI Score
5029
Single Precision Score
5004
Half Precision Score
13595
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 04:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 465 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUS Zenbook S16 UM5606GA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606GA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 465 w/ Radeon 880M |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2701
502.2 IPS |
|
|
Image Classification (HP)
|
100% |
2689
500.1 IPS |
|
|
Image Classification (Q)
|
100% |
8393
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3644
59.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3508
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9807
159.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7113
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
7074
8.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
28011
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
2789
221.2 IPS |
|
|
Object Detection (HP)
|
100% |
2759
218.8 IPS |
|
|
Object Detection (Q)
|
88% |
8686
696.3 IPS |
|
|
Face Detection (SP)
|
100% |
7948
94.4 IPS |
|
|
Face Detection (HP)
|
100% |
8004
95.1 IPS |
|
|
Face Detection (Q)
|
100% |
24224
287.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7973
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8013
61.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
20794
161.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19059
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19082
24.5 IPS |
|
|
Style Transfer (Q)
|
98% |
71044
91.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3873
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3824
141.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12696
470.2 IPS |
|
|
Text Classification (SP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2685
3.58 KIPS |
|
|
Text Classification (Q)
|
92% |
4032
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4330
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4259
73.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5880
101.3 IPS |
