ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
5747
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 10 2025 06:01 AM |
| Views | 8 |
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% |
2493
466.5 IPS |
|
|
Image Classification (F16)
|
100% |
1848
345.8 IPS |
|
|
Image Classification (I8)
|
100% |
1603
300.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
3474
58.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3400
56.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2981
49.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
34906
42.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
35105
42.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
28922
35.0 IPS |
|
|
Object Detection (F32)
|
100% |
1465
109.4 IPS |
|
|
Object Detection (F16)
|
100% |
1507
112.5 IPS |
|
|
Object Detection (I8)
|
62% |
1443
107.7 IPS |
|
|
Face Detection (F32)
|
100% |
5298
63.0 IPS |
|
|
Face Detection (F16)
|
100% |
5508
65.5 IPS |
|
|
Face Detection (I8)
|
89% |
4336
51.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12831
99.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
13184
102.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
11666
90.5 IPS |
|
|
Style Transfer (F32)
|
100% |
64321
84.6 IPS |
|
|
Style Transfer (F16)
|
100% |
55081
72.5 IPS |
|
|
Style Transfer (I8)
|
98% |
37473
49.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8330
297.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9229
329.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6979
249.2 IPS |
|
|
Text Classification (F32)
|
100% |
2761
3.97 KIPS |
|
|
Text Classification (F16)
|
100% |
2690
3.87 KIPS |
|
|
Text Classification (I8)
|
98% |
1998
2.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
2324
42.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2399
44.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1409
25.9 IPS |
