ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
5874
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 15 2025 11:58 AM |
| Views | 2 |
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% |
1926
360.4 IPS |
|
|
Image Classification (F16)
|
100% |
1932
361.5 IPS |
|
|
Image Classification (I8)
|
100% |
1756
328.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
3142
52.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
4204
70.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3174
53.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
30178
36.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
39031
47.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
31191
37.8 IPS |
|
|
Object Detection (F32)
|
100% |
1499
111.9 IPS |
|
|
Object Detection (F16)
|
100% |
1561
116.5 IPS |
|
|
Object Detection (I8)
|
62% |
1495
111.6 IPS |
|
|
Face Detection (F32)
|
100% |
5160
61.4 IPS |
|
|
Face Detection (F16)
|
100% |
5673
67.5 IPS |
|
|
Face Detection (I8)
|
89% |
4557
54.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15138
117.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
15015
116.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
12080
93.7 IPS |
|
|
Style Transfer (F32)
|
100% |
59823
78.7 IPS |
|
|
Style Transfer (F16)
|
100% |
63476
83.5 IPS |
|
|
Style Transfer (I8)
|
98% |
43401
57.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8329
297.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10008
357.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7093
253.3 IPS |
|
|
Text Classification (F32)
|
100% |
2282
3.28 KIPS |
|
|
Text Classification (F16)
|
100% |
2716
3.90 KIPS |
|
|
Text Classification (I8)
|
98% |
1834
2.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
2335
43.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2547
46.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1378
25.4 IPS |
