ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6449
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 14 2025 09:09 AM |
| Views | 11 |
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 |
| 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% |
3030
567.0 IPS |
|
|
Image Classification (F16)
|
100% |
2900
542.6 IPS |
|
|
Image Classification (I8)
|
100% |
2561
479.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
4146
69.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4081
68.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3401
56.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
40519
49.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
33089
40.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
27487
33.3 IPS |
|
|
Object Detection (F32)
|
100% |
2140
159.8 IPS |
|
|
Object Detection (F16)
|
100% |
1672
124.8 IPS |
|
|
Object Detection (I8)
|
62% |
1591
118.8 IPS |
|
|
Face Detection (F32)
|
100% |
5758
68.5 IPS |
|
|
Face Detection (F16)
|
100% |
5732
68.2 IPS |
|
|
Face Detection (I8)
|
89% |
4622
55.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
14816
114.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
15571
120.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
14773
114.6 IPS |
|
|
Style Transfer (F32)
|
100% |
68717
90.4 IPS |
|
|
Style Transfer (F16)
|
100% |
68757
90.4 IPS |
|
|
Style Transfer (I8)
|
98% |
44272
58.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11987
428.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10479
374.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7042
251.5 IPS |
|
|
Text Classification (F32)
|
100% |
1469
2.11 KIPS |
|
|
Text Classification (F16)
|
100% |
1321
1.90 KIPS |
|
|
Text Classification (I8)
|
98% |
1643
2.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
3518
64.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3512
64.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1879
34.6 IPS |
