ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
5626
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2025 08:57 AM |
| Views | 2 |
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% |
2293
429.1 IPS |
|
|
Image Classification (F16)
|
100% |
2605
487.4 IPS |
|
|
Image Classification (I8)
|
100% |
1585
296.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
3324
55.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3274
54.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2917
48.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
22194
26.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
31850
38.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
23510
28.5 IPS |
|
|
Object Detection (F32)
|
100% |
1606
119.9 IPS |
|
|
Object Detection (F16)
|
100% |
1614
120.5 IPS |
|
|
Object Detection (I8)
|
62% |
1579
117.9 IPS |
|
|
Face Detection (F32)
|
100% |
5408
64.3 IPS |
|
|
Face Detection (F16)
|
100% |
5497
65.4 IPS |
|
|
Face Detection (I8)
|
89% |
4287
51.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
13962
108.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
13619
105.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
11452
88.8 IPS |
|
|
Style Transfer (F32)
|
100% |
48609
63.9 IPS |
|
|
Style Transfer (F16)
|
100% |
47374
62.3 IPS |
|
|
Style Transfer (I8)
|
98% |
41132
54.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8690
310.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7241
258.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6691
239.0 IPS |
|
|
Text Classification (F32)
|
100% |
2663
3.83 KIPS |
|
|
Text Classification (F16)
|
100% |
2673
3.84 KIPS |
|
|
Text Classification (I8)
|
98% |
1981
2.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
2507
46.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2529
46.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1593
29.3 IPS |
