ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6556
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2025 06:15 AM |
| Views | 6 |
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% |
2713
507.7 IPS |
|
|
Image Classification (F16)
|
100% |
2753
515.1 IPS |
|
|
Image Classification (I8)
|
100% |
2312
432.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
3622
60.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3872
64.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3222
53.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
35388
42.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
35610
43.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
28797
34.9 IPS |
|
|
Object Detection (F32)
|
100% |
2011
150.2 IPS |
|
|
Object Detection (F16)
|
100% |
2054
153.3 IPS |
|
|
Object Detection (I8)
|
62% |
1759
131.3 IPS |
|
|
Face Detection (F32)
|
100% |
5370
63.8 IPS |
|
|
Face Detection (F16)
|
100% |
6121
72.8 IPS |
|
|
Face Detection (I8)
|
89% |
4755
56.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
18135
140.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
18303
141.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
13539
105.0 IPS |
|
|
Style Transfer (F32)
|
100% |
62745
82.5 IPS |
|
|
Style Transfer (F16)
|
100% |
60649
79.8 IPS |
|
|
Style Transfer (I8)
|
98% |
38456
50.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10426
372.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11063
395.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8136
290.6 IPS |
|
|
Text Classification (F32)
|
100% |
2156
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
2200
3.16 KIPS |
|
|
Text Classification (I8)
|
98% |
1650
2.37 KIPS |
|
|
Machine Translation (F32)
|
100% |
3351
61.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3349
61.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1813
33.4 IPS |
