ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
5772
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 10 2025 06:04 AM |
| Views | 10 |
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% |
1670
312.5 IPS |
|
|
Image Classification (F16)
|
100% |
1848
345.9 IPS |
|
|
Image Classification (I8)
|
100% |
1579
295.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
3830
64.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3648
60.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2988
49.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
36409
44.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
36896
44.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
27474
33.3 IPS |
|
|
Object Detection (F32)
|
100% |
1482
110.6 IPS |
|
|
Object Detection (F16)
|
100% |
1576
117.7 IPS |
|
|
Object Detection (I8)
|
62% |
1458
108.9 IPS |
|
|
Face Detection (F32)
|
100% |
5115
60.8 IPS |
|
|
Face Detection (F16)
|
100% |
5533
65.8 IPS |
|
|
Face Detection (I8)
|
89% |
4163
49.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
14986
116.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
14393
111.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
11659
90.4 IPS |
|
|
Style Transfer (F32)
|
100% |
60684
79.8 IPS |
|
|
Style Transfer (F16)
|
100% |
54218
71.3 IPS |
|
|
Style Transfer (I8)
|
98% |
45286
59.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8483
303.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9362
334.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6808
243.1 IPS |
|
|
Text Classification (F32)
|
100% |
2659
3.82 KIPS |
|
|
Text Classification (F16)
|
100% |
2671
3.84 KIPS |
|
|
Text Classification (I8)
|
98% |
1952
2.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
2169
39.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2554
47.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1476
27.2 IPS |
