ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6359
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 24 2025 12:01 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% |
2097
392.4 IPS |
|
|
Image Classification (F16)
|
100% |
2315
433.3 IPS |
|
|
Image Classification (I8)
|
100% |
1689
316.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
4158
69.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
4228
70.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3575
59.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
40456
49.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
38009
46.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
30581
37.0 IPS |
|
|
Object Detection (F32)
|
100% |
1599
119.4 IPS |
|
|
Object Detection (F16)
|
100% |
2116
157.9 IPS |
|
|
Object Detection (I8)
|
62% |
1591
118.8 IPS |
|
|
Face Detection (F32)
|
100% |
6106
72.6 IPS |
|
|
Face Detection (F16)
|
100% |
5766
68.6 IPS |
|
|
Face Detection (I8)
|
89% |
4596
54.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
14762
114.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
15407
119.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
12416
96.3 IPS |
|
|
Style Transfer (F32)
|
100% |
67872
89.3 IPS |
|
|
Style Transfer (F16)
|
100% |
66997
88.1 IPS |
|
|
Style Transfer (I8)
|
98% |
45391
59.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8913
318.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10162
362.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7784
278.0 IPS |
|
|
Text Classification (F32)
|
100% |
2803
4.03 KIPS |
|
|
Text Classification (F16)
|
100% |
2733
3.93 KIPS |
|
|
Text Classification (I8)
|
98% |
2074
2.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
2400
44.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2492
45.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1539
28.3 IPS |
