ASUS Zenbook S16 UM5606GA
Geekbench AI Score
3179
Single Precision Score
1602
Half Precision Score
6650
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 06:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 465 w/ Radeon 880M |
| 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% |
1879
349.5 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.6 IPS |
|
|
Image Classification (Q)
|
99% |
6378
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1233
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
953
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8904
144.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5576
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
4816
5.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
22321
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
2384
189.1 IPS |
|
|
Object Detection (HP)
|
100% |
748
59.3 IPS |
|
|
Object Detection (Q)
|
86% |
6572
528.2 IPS |
|
|
Face Detection (SP)
|
100% |
5830
69.3 IPS |
|
|
Face Detection (HP)
|
100% |
1628
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
9763
116.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7073
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2432
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14237
113.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13116
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12092
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29025
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1864
68.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1296
48.0 IPS |
|
|
Text Classification (SP)
|
100% |
1443
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
707
943.2 IPS |
|
|
Text Classification (Q)
|
97% |
1274
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2210
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3051
61.3 IPS |
