ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6254
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 20 2025 10:17 AM |
| Views | 6 |
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% |
2279
426.4 IPS |
|
|
Image Classification (F16)
|
100% |
2631
492.3 IPS |
|
|
Image Classification (I8)
|
100% |
1662
310.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
3563
59.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
4234
70.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3538
59.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
40540
49.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
39454
47.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
32498
39.4 IPS |
|
|
Object Detection (F32)
|
100% |
1569
117.1 IPS |
|
|
Object Detection (F16)
|
100% |
1532
114.4 IPS |
|
|
Object Detection (I8)
|
62% |
1558
116.3 IPS |
|
|
Face Detection (F32)
|
100% |
5825
69.3 IPS |
|
|
Face Detection (F16)
|
100% |
5826
69.3 IPS |
|
|
Face Detection (I8)
|
89% |
4625
55.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16288
126.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
15436
119.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
12523
97.1 IPS |
|
|
Style Transfer (F32)
|
100% |
66076
86.9 IPS |
|
|
Style Transfer (F16)
|
100% |
68124
89.6 IPS |
|
|
Style Transfer (I8)
|
98% |
40828
53.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7739
276.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10489
374.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7254
259.0 IPS |
|
|
Text Classification (F32)
|
100% |
2225
3.20 KIPS |
|
|
Text Classification (F16)
|
100% |
2684
3.86 KIPS |
|
|
Text Classification (I8)
|
98% |
1852
2.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
2408
44.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3362
61.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1548
28.5 IPS |
