ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
3666
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 14 2025 08:51 AM |
| Views | 8 |
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% |
1469
274.8 IPS |
|
|
Image Classification (F16)
|
100% |
1378
257.8 IPS |
|
|
Image Classification (I8)
|
99% |
3956
740.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1558
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1456
24.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2559
42.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6427
7.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
6078
7.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
24433
29.6 IPS |
|
|
Object Detection (F32)
|
100% |
1731
129.2 IPS |
|
|
Object Detection (F16)
|
100% |
1742
130.0 IPS |
|
|
Object Detection (I8)
|
62% |
1909
142.5 IPS |
|
|
Face Detection (F32)
|
100% |
3085
36.7 IPS |
|
|
Face Detection (F16)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (I8)
|
89% |
5190
61.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6911
53.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
6415
49.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
14925
115.7 IPS |
|
|
Style Transfer (F32)
|
100% |
16052
21.1 IPS |
|
|
Style Transfer (F16)
|
100% |
16171
21.3 IPS |
|
|
Style Transfer (I8)
|
98% |
28790
37.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2578
92.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2798
99.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3355
119.8 IPS |
|
|
Text Classification (F32)
|
100% |
1503
2.16 KIPS |
|
|
Text Classification (F16)
|
100% |
1493
2.15 KIPS |
|
|
Text Classification (I8)
|
98% |
1269
1.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
2441
44.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2408
44.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3222
59.3 IPS |
