ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6245
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 06:24 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% |
2517
471.1 IPS |
|
|
Image Classification (F16)
|
100% |
2965
554.8 IPS |
|
|
Image Classification (I8)
|
100% |
1834
343.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
3186
53.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4196
70.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3399
56.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
32685
39.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
38688
46.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
31008
37.5 IPS |
|
|
Object Detection (F32)
|
100% |
1645
122.8 IPS |
|
|
Object Detection (F16)
|
100% |
1717
128.2 IPS |
|
|
Object Detection (I8)
|
62% |
1568
117.1 IPS |
|
|
Face Detection (F32)
|
100% |
5734
68.2 IPS |
|
|
Face Detection (F16)
|
100% |
5853
69.6 IPS |
|
|
Face Detection (I8)
|
89% |
4673
55.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16396
127.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
15629
121.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
12301
95.4 IPS |
|
|
Style Transfer (F32)
|
100% |
68408
90.0 IPS |
|
|
Style Transfer (F16)
|
100% |
63714
83.8 IPS |
|
|
Style Transfer (I8)
|
98% |
40518
53.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8314
296.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10018
357.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7588
271.0 IPS |
|
|
Text Classification (F32)
|
100% |
2321
3.34 KIPS |
|
|
Text Classification (F16)
|
100% |
2881
4.14 KIPS |
|
|
Text Classification (I8)
|
98% |
1955
2.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
2452
45.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2606
48.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1480
27.2 IPS |
