ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6073
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 17 2025 09:14 AM |
| Views | 5 |
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% |
1780
333.1 IPS |
|
|
Image Classification (F16)
|
100% |
1944
363.7 IPS |
|
|
Image Classification (I8)
|
100% |
1731
323.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2664
44.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
4232
70.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3442
57.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
34154
41.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
42094
51.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
31816
38.5 IPS |
|
|
Object Detection (F32)
|
100% |
1595
119.1 IPS |
|
|
Object Detection (F16)
|
100% |
1555
116.1 IPS |
|
|
Object Detection (I8)
|
62% |
1522
113.6 IPS |
|
|
Face Detection (F32)
|
100% |
5955
70.8 IPS |
|
|
Face Detection (F16)
|
100% |
5898
70.1 IPS |
|
|
Face Detection (I8)
|
89% |
4654
55.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
18031
139.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
14849
115.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
12450
96.5 IPS |
|
|
Style Transfer (F32)
|
100% |
68800
90.5 IPS |
|
|
Style Transfer (F16)
|
100% |
66708
87.7 IPS |
|
|
Style Transfer (I8)
|
98% |
47418
62.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8808
314.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10378
370.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6923
247.3 IPS |
|
|
Text Classification (F32)
|
100% |
2275
3.27 KIPS |
|
|
Text Classification (F16)
|
100% |
2730
3.92 KIPS |
|
|
Text Classification (I8)
|
98% |
1872
2.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
2321
42.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2604
47.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1502
27.6 IPS |
