ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6064
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 10 2025 12:31 PM |
| Views | 9 |
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% |
2555
478.2 IPS |
|
|
Image Classification (F16)
|
100% |
2359
441.4 IPS |
|
|
Image Classification (I8)
|
100% |
2360
441.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
3024
50.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3032
50.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2678
44.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
17948
21.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
25589
31.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
19713
23.9 IPS |
|
|
Object Detection (F32)
|
100% |
1612
120.4 IPS |
|
|
Object Detection (F16)
|
100% |
1737
129.6 IPS |
|
|
Object Detection (I8)
|
62% |
1671
124.8 IPS |
|
|
Face Detection (F32)
|
100% |
5971
71.0 IPS |
|
|
Face Detection (F16)
|
100% |
6049
71.9 IPS |
|
|
Face Detection (I8)
|
89% |
4848
57.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
17300
134.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
18916
146.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
13676
106.1 IPS |
|
|
Style Transfer (F32)
|
100% |
56950
74.9 IPS |
|
|
Style Transfer (F16)
|
100% |
63713
83.8 IPS |
|
|
Style Transfer (I8)
|
98% |
38814
51.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11584
413.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12292
439.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8561
305.7 IPS |
|
|
Text Classification (F32)
|
100% |
2585
3.71 KIPS |
|
|
Text Classification (F16)
|
100% |
2679
3.85 KIPS |
|
|
Text Classification (I8)
|
98% |
1338
1.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
3102
57.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2856
52.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1868
34.4 IPS |
