ASUS Zenbook S16 UM5606GA
Geekbench AI Score
7549
Single Precision Score
10845
Half Precision Score
6134
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 06:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 880M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
3321
617.6 IPS |
|
|
Image Classification (HP)
|
100% |
4563
848.6 IPS |
|
|
Image Classification (Q)
|
100% |
3147
585.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3549
57.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5210
84.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3803
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37442
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
63993
74.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
31150
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3045
241.5 IPS |
|
|
Object Detection (HP)
|
100% |
3106
246.4 IPS |
|
|
Object Detection (Q)
|
87% |
2335
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
6835
81.2 IPS |
|
|
Face Detection (HP)
|
100% |
11190
133.0 IPS |
|
|
Face Detection (Q)
|
97% |
5838
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16708
128.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23242
179.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
13326
106.9 IPS |
|
|
Style Transfer (SP)
|
100% |
61468
79.0 IPS |
|
|
Style Transfer (HP)
|
100% |
100197
128.8 IPS |
|
|
Style Transfer (Q)
|
98% |
48450
62.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10027
370.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21634
798.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8080
299.2 IPS |
|
|
Text Classification (SP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1864
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2657
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2652
45.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1528
28.7 IPS |
