ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
4950
Single Precision Score
4969
Half Precision Score
12764
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 22 2025 06:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 | Balanced |
| 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% |
2810
522.6 IPS |
|
|
Image Classification (HP)
|
100% |
2793
519.5 IPS |
|
|
Image Classification (Q)
|
100% |
7348
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3606
58.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3641
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9370
151.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7088
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
7154
8.35 IPS |
|
|
Pose Estimation (Q)
|
98% |
28426
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
2806
222.6 IPS |
|
|
Object Detection (HP)
|
100% |
2952
234.1 IPS |
|
|
Object Detection (Q)
|
88% |
8384
672.1 IPS |
|
|
Face Detection (SP)
|
100% |
7375
87.6 IPS |
|
|
Face Detection (HP)
|
100% |
7482
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
22538
267.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8586
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8549
65.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
21000
163.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19341
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18366
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
70930
91.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4001
147.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4081
150.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13378
495.5 IPS |
|
|
Text Classification (SP)
|
100% |
2600
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (Q)
|
92% |
3655
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3445
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4262
73.4 IPS |
