ASUS Zenbook S16 UM5606GA ONNX CPU ASUS Zenbook S16 UM5606GA
Geekbench AI Score
2717
Single Precision Score
1354
Half Precision Score
6139
Quantized Score
Geekbench AI 1.5.0 Pro for Windows AVX2
Result Information
| User | TechFi |
| Upload Date | March 03 2026 10:23 AM |
| Views | 5 |
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% |
1920
357.0 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.5 IPS |
|
|
Image Classification (Q)
|
99% |
5881
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
727
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6177
100.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5862
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
4647
5.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
21674
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
1899
150.7 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
86% |
5125
411.9 IPS |
|
|
Face Detection (SP)
|
100% |
5094
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
1332
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
7804
93.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5608
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2380
18.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
14395
114.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10601
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9849
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28192
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1634
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1402
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2430
90.0 IPS |
|
|
Text Classification (SP)
|
100% |
1198
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
606
809.1 IPS |
|
|
Text Classification (Q)
|
97% |
1051
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1761
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2333
46.9 IPS |
