ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
5978
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 27 2025 10:04 AM |
| Views | 15 |
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 |
| 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% |
2782
520.6 IPS |
|
|
Image Classification (F16)
|
100% |
2533
474.0 IPS |
|
|
Image Classification (I8)
|
100% |
2184
408.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
3919
65.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
4049
67.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3372
56.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
40608
49.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
36468
44.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
29466
35.7 IPS |
|
|
Object Detection (F32)
|
100% |
2044
152.6 IPS |
|
|
Object Detection (F16)
|
100% |
1508
112.6 IPS |
|
|
Object Detection (I8)
|
62% |
1838
137.2 IPS |
|
|
Face Detection (F32)
|
100% |
5113
60.8 IPS |
|
|
Face Detection (F16)
|
100% |
5516
65.6 IPS |
|
|
Face Detection (I8)
|
89% |
4520
53.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16312
126.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
15915
123.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
12224
94.8 IPS |
|
|
Style Transfer (F32)
|
100% |
63644
83.7 IPS |
|
|
Style Transfer (F16)
|
100% |
58347
76.8 IPS |
|
|
Style Transfer (I8)
|
98% |
46650
61.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9639
344.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8849
316.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6123
218.7 IPS |
|
|
Text Classification (F32)
|
100% |
1535
2.21 KIPS |
|
|
Text Classification (F16)
|
100% |
1435
2.06 KIPS |
|
|
Text Classification (I8)
|
98% |
1066
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
2290
42.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2816
51.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1757
32.3 IPS |
