ASUS Zenbook S16 UM5606GA
Geekbench AI Score
4748
Single Precision Score
4715
Half Precision Score
12490
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 06:58 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 (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% |
2669
496.4 IPS |
|
|
Image Classification (HP)
|
100% |
2605
484.5 IPS |
|
|
Image Classification (Q)
|
100% |
7912
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3400
55.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3349
54.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9193
149.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6829
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
6359
7.42 IPS |
|
|
Pose Estimation (Q)
|
98% |
25774
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
2692
213.5 IPS |
|
|
Object Detection (HP)
|
100% |
2621
207.9 IPS |
|
|
Object Detection (Q)
|
88% |
8049
645.3 IPS |
|
|
Face Detection (SP)
|
100% |
7660
91.0 IPS |
|
|
Face Detection (HP)
|
100% |
7855
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
20891
248.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7549
58.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7497
57.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
20138
156.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17119
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17582
22.6 IPS |
|
|
Style Transfer (Q)
|
98% |
70116
90.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3581
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3626
133.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11988
444.0 IPS |
|
|
Text Classification (SP)
|
100% |
2534
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2497
3.33 KIPS |
|
|
Text Classification (Q)
|
92% |
3598
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3890
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3987
68.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4816
83.0 IPS |
