ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6489
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 10 2025 12:23 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% |
2963
554.5 IPS |
|
|
Image Classification (F16)
|
100% |
2925
547.4 IPS |
|
|
Image Classification (I8)
|
100% |
2392
447.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
3560
59.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3138
52.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2897
48.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
24400
29.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
31147
37.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
28088
34.0 IPS |
|
|
Object Detection (F32)
|
100% |
1936
144.5 IPS |
|
|
Object Detection (F16)
|
100% |
1860
138.9 IPS |
|
|
Object Detection (I8)
|
62% |
1685
125.8 IPS |
|
|
Face Detection (F32)
|
100% |
5763
68.5 IPS |
|
|
Face Detection (F16)
|
100% |
5965
70.9 IPS |
|
|
Face Detection (I8)
|
89% |
4545
54.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
17787
137.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17288
134.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
13383
103.8 IPS |
|
|
Style Transfer (F32)
|
100% |
61939
81.5 IPS |
|
|
Style Transfer (F16)
|
100% |
61805
81.3 IPS |
|
|
Style Transfer (I8)
|
98% |
41504
54.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10871
388.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11749
419.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7965
284.5 IPS |
|
|
Text Classification (F32)
|
100% |
2578
3.70 KIPS |
|
|
Text Classification (F16)
|
100% |
2547
3.66 KIPS |
|
|
Text Classification (I8)
|
98% |
1890
2.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
3233
59.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3285
60.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1950
35.9 IPS |
