ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
3946
Single Precision Score
1682
Half Precision Score
7227
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA |
| Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| 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% |
2875
534.7 IPS |
|
|
Image Classification (HP)
|
100% |
576
107.1 IPS |
|
|
Image Classification (Q)
|
99% |
7016
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1860
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1025
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3649
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7507
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
5692
6.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
25076
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2991
237.2 IPS |
|
|
Object Detection (HP)
|
100% |
737
58.4 IPS |
|
|
Object Detection (Q)
|
86% |
7495
602.3 IPS |
|
|
Face Detection (SP)
|
100% |
6073
72.2 IPS |
|
|
Face Detection (HP)
|
100% |
1744
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
10149
121.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8545
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2730
21.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
15888
126.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16861
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14461
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31614
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2379
87.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2208
81.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3769
139.6 IPS |
|
|
Text Classification (SP)
|
100% |
1500
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
694
926.9 IPS |
|
|
Text Classification (Q)
|
97% |
1257
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2444
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3348
67.3 IPS |
