ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6502
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 10 2025 12:22 PM |
| Views | 8 |
System Information
| 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 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 |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 5.33 MB x 3 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2947
551.4 IPS |
|
|
Image Classification (F16)
|
100% |
2821
527.9 IPS |
|
|
Image Classification (I8)
|
100% |
2469
462.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
3604
60.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
3221
53.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2774
46.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23619
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
34811
42.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
27475
33.3 IPS |
|
|
Object Detection (F32)
|
100% |
1918
143.2 IPS |
|
|
Object Detection (F16)
|
100% |
1962
146.5 IPS |
|
|
Object Detection (I8)
|
62% |
1719
128.4 IPS |
|
|
Face Detection (F32)
|
100% |
5756
68.4 IPS |
|
|
Face Detection (F16)
|
100% |
5847
69.5 IPS |
|
|
Face Detection (I8)
|
89% |
4613
54.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
17623
136.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
16592
128.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
13401
103.9 IPS |
|
|
Style Transfer (F32)
|
100% |
62336
82.0 IPS |
|
|
Style Transfer (F16)
|
100% |
61280
80.6 IPS |
|
|
Style Transfer (I8)
|
98% |
44068
58.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10015
357.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10759
384.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7813
279.0 IPS |
|
|
Text Classification (F32)
|
100% |
2626
3.77 KIPS |
|
|
Text Classification (F16)
|
100% |
2620
3.77 KIPS |
|
|
Text Classification (I8)
|
98% |
1952
2.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
3353
61.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3346
61.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1967
36.2 IPS |
