ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
3344
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 14 2025 08:57 AM |
| Views | 11 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1590
297.5 IPS |
|
|
Image Classification (F16)
|
100% |
1587
297.0 IPS |
|
|
Image Classification (I8)
|
99% |
4203
786.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1455
24.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1358
22.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2998
50.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5908
7.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
5500
6.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
23134
28.0 IPS |
|
|
Object Detection (F32)
|
100% |
1535
114.6 IPS |
|
|
Object Detection (F16)
|
100% |
1534
114.5 IPS |
|
|
Object Detection (I8)
|
62% |
1711
127.7 IPS |
|
|
Face Detection (F32)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (F16)
|
100% |
2959
35.2 IPS |
|
|
Face Detection (I8)
|
89% |
4298
51.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4878
37.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6115
47.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
14755
114.4 IPS |
|
|
Style Transfer (F32)
|
100% |
12211
16.1 IPS |
|
|
Style Transfer (F16)
|
100% |
12335
16.2 IPS |
|
|
Style Transfer (I8)
|
98% |
26632
35.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2271
81.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2196
78.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3828
136.7 IPS |
|
|
Text Classification (F32)
|
100% |
1385
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
1378
1.98 KIPS |
|
|
Text Classification (I8)
|
98% |
1133
1.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
1898
34.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1859
34.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2891
53.2 IPS |
