ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
8402
Single Precision Score
13149
Half Precision Score
5951
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 03:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3480
647.2 IPS |
|
|
Image Classification (HP)
|
100% |
5184
964.0 IPS |
|
|
Image Classification (Q)
|
100% |
3201
595.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4658
75.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5887
95.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3812
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
43366
50.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
86195
100.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32026
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
2298
182.3 IPS |
|
|
Object Detection (HP)
|
100% |
4049
321.2 IPS |
|
|
Object Detection (Q)
|
87% |
2033
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
6648
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
13177
156.6 IPS |
|
|
Face Detection (Q)
|
97% |
5793
69.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17152
132.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
28682
221.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
13690
109.8 IPS |
|
|
Style Transfer (SP)
|
100% |
71529
92.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121873
156.7 IPS |
|
|
Style Transfer (Q)
|
98% |
50180
64.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13789
509.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24024
887.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6679
247.3 IPS |
|
|
Text Classification (SP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (Q)
|
97% |
1702
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3973
68.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4386
75.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1552
29.1 IPS |
