ASUS Zenbook S16 UM5606GA ONNX DirectML ASUS Zenbook S16 UM5606GA
Geekbench AI Score
5832
Single Precision Score
9313
Half Precision Score
5113
Quantized Score
Geekbench AI 1.5.0 Pro for Windows AVX2
Result Information
| User | TechFi |
| Upload Date | March 03 2026 10:26 AM |
| 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% |
3188
592.9 IPS |
|
|
Image Classification (HP)
|
100% |
3668
682.2 IPS |
|
|
Image Classification (Q)
|
100% |
2611
485.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4021
65.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3310
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17041
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
38498
44.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
23853
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2541
201.5 IPS |
|
|
Object Detection (HP)
|
100% |
3414
270.8 IPS |
|
|
Object Detection (Q)
|
87% |
2767
222.2 IPS |
|
|
Face Detection (SP)
|
100% |
6022
71.5 IPS |
|
|
Face Detection (HP)
|
100% |
10257
121.9 IPS |
|
|
Face Detection (Q)
|
97% |
4730
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12148
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19139
147.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
9953
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
41164
52.9 IPS |
|
|
Style Transfer (HP)
|
100% |
85275
109.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29292
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9138
337.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20879
771.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8626
319.4 IPS |
|
|
Text Classification (SP)
|
100% |
1845
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2587
3.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1461
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2795
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2801
48.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1232
23.1 IPS |
