ASUS Zenbook S16 UM5606GA OpenVino ASUS Zenbook S16 UM5606GA
Geekbench AI Score
2564
Single Precision Score
2653
Half Precision Score
4997
Quantized Score
Geekbench AI 1.5.0 Pro for Windows AVX2
Result Information
| User | TechFi |
| Upload Date | March 03 2026 10:38 AM |
| Views | 7 |
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% |
2052
381.6 IPS |
|
|
Image Classification (HP)
|
100% |
1348
250.7 IPS |
|
|
Image Classification (Q)
|
100% |
2679
498.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2888
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1626
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3016
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3220
3.76 IPS |
|
|
Pose Estimation (Q)
|
98% |
10227
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
2233
177.1 IPS |
|
|
Object Detection (HP)
|
100% |
912
72.4 IPS |
|
|
Object Detection (Q)
|
88% |
7617
610.6 IPS |
|
|
Face Detection (SP)
|
100% |
3878
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
3596
42.7 IPS |
|
|
Face Detection (Q)
|
100% |
10398
123.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4366
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4172
32.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
8732
68.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9294
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9057
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22881
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2006
74.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4920
182.2 IPS |
|
|
Text Classification (SP)
|
100% |
1480
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2389
3.19 KIPS |
|
|
Text Classification (Q)
|
92% |
865
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1751
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2327
40.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3236
55.7 IPS |
