ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench AI Score
5523
Single Precision Score
5608
Half Precision Score
14751
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 13 2025 03:03 AM |
| Views | 7 |
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 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% |
3163
588.3 IPS |
|
|
Image Classification (HP)
|
100% |
3296
612.9 IPS |
|
|
Image Classification (Q)
|
100% |
9443
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4147
67.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4213
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11552
187.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7475
8.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
7495
8.75 IPS |
|
|
Pose Estimation (Q)
|
98% |
29346
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
3219
255.3 IPS |
|
|
Object Detection (HP)
|
100% |
3235
256.6 IPS |
|
|
Object Detection (Q)
|
88% |
10019
803.2 IPS |
|
|
Face Detection (SP)
|
100% |
8151
96.9 IPS |
|
|
Face Detection (HP)
|
100% |
8295
98.6 IPS |
|
|
Face Detection (Q)
|
100% |
26973
320.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8964
69.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9150
70.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
25036
194.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20305
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20551
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
77579
100.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4367
161.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4443
164.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14809
548.4 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (Q)
|
92% |
3602
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4420
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4498
77.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5445
93.8 IPS |
