ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
6084
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 11 2025 06:21 AM |
| Views | 7 |
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% |
2826
528.9 IPS |
|
|
Image Classification (F16)
|
100% |
1870
350.0 IPS |
|
|
Image Classification (I8)
|
100% |
1811
339.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
3999
66.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
4067
67.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3340
55.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
36140
43.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
38168
46.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
29801
36.1 IPS |
|
|
Object Detection (F32)
|
100% |
1570
117.2 IPS |
|
|
Object Detection (F16)
|
100% |
1571
117.3 IPS |
|
|
Object Detection (I8)
|
62% |
1481
110.5 IPS |
|
|
Face Detection (F32)
|
100% |
5925
70.4 IPS |
|
|
Face Detection (F16)
|
100% |
5712
67.9 IPS |
|
|
Face Detection (I8)
|
89% |
4483
53.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15424
119.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17130
132.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
12151
94.2 IPS |
|
|
Style Transfer (F32)
|
100% |
64593
85.0 IPS |
|
|
Style Transfer (F16)
|
100% |
63352
83.3 IPS |
|
|
Style Transfer (I8)
|
98% |
46241
60.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8667
309.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8179
292.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7694
274.8 IPS |
|
|
Text Classification (F32)
|
100% |
2316
3.33 KIPS |
|
|
Text Classification (F16)
|
100% |
2316
3.33 KIPS |
|
|
Text Classification (I8)
|
98% |
1667
2.40 KIPS |
|
|
Machine Translation (F32)
|
100% |
2477
45.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2531
46.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1526
28.1 IPS |
