ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6320
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 11 2025 12:40 PM |
| Views | 4 |
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% |
1979
370.3 IPS |
|
|
Image Classification (F16)
|
100% |
1915
358.3 IPS |
|
|
Image Classification (I8)
|
100% |
1716
321.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
4253
71.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
4182
69.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3542
59.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
40547
49.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
39340
47.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
30876
37.4 IPS |
|
|
Object Detection (F32)
|
100% |
1623
121.1 IPS |
|
|
Object Detection (F16)
|
100% |
1631
121.8 IPS |
|
|
Object Detection (I8)
|
62% |
1560
116.5 IPS |
|
|
Face Detection (F32)
|
100% |
5876
69.9 IPS |
|
|
Face Detection (F16)
|
100% |
5778
68.7 IPS |
|
|
Face Detection (I8)
|
89% |
4598
54.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15012
116.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
15569
120.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
12372
95.9 IPS |
|
|
Style Transfer (F32)
|
100% |
67356
88.6 IPS |
|
|
Style Transfer (F16)
|
100% |
71550
94.1 IPS |
|
|
Style Transfer (I8)
|
98% |
46170
60.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9829
351.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9912
354.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7271
259.7 IPS |
|
|
Text Classification (F32)
|
100% |
2681
3.85 KIPS |
|
|
Text Classification (F16)
|
100% |
2703
3.88 KIPS |
|
|
Text Classification (I8)
|
98% |
2023
2.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
2492
45.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3095
57.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1569
28.9 IPS |
