ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
5575
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2025 08:53 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% |
2264
423.6 IPS |
|
|
Image Classification (F16)
|
100% |
2111
395.1 IPS |
|
|
Image Classification (I8)
|
100% |
1632
305.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
3252
54.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3345
55.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2825
47.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
21450
26.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
27305
33.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
23543
28.5 IPS |
|
|
Object Detection (F32)
|
100% |
1764
131.7 IPS |
|
|
Object Detection (F16)
|
100% |
1612
120.3 IPS |
|
|
Object Detection (I8)
|
62% |
1519
113.4 IPS |
|
|
Face Detection (F32)
|
100% |
5421
64.5 IPS |
|
|
Face Detection (F16)
|
100% |
5477
65.1 IPS |
|
|
Face Detection (I8)
|
89% |
4318
51.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
13674
106.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
13599
105.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
11886
92.2 IPS |
|
|
Style Transfer (F32)
|
100% |
46674
61.4 IPS |
|
|
Style Transfer (F16)
|
100% |
48795
64.2 IPS |
|
|
Style Transfer (I8)
|
98% |
39107
51.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8659
309.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8503
303.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6664
238.0 IPS |
|
|
Text Classification (F32)
|
100% |
2643
3.80 KIPS |
|
|
Text Classification (F16)
|
100% |
2554
3.67 KIPS |
|
|
Text Classification (I8)
|
98% |
1926
2.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
2819
51.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2367
43.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1597
29.4 IPS |
