ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA
Geekbench ML Score
3076
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 27 2025 09:35 AM |
| Views | 12 |
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% |
1558
291.6 IPS |
|
|
Image Classification (F16)
|
100% |
1501
280.9 IPS |
|
|
Image Classification (I8)
|
99% |
3675
687.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1285
21.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1191
19.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2626
43.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5357
6.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
5431
6.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
19638
23.8 IPS |
|
|
Object Detection (F32)
|
100% |
1429
106.7 IPS |
|
|
Object Detection (F16)
|
100% |
1139
85.0 IPS |
|
|
Object Detection (I8)
|
62% |
1197
89.3 IPS |
|
|
Face Detection (F32)
|
100% |
2876
34.2 IPS |
|
|
Face Detection (F16)
|
100% |
2449
29.1 IPS |
|
|
Face Detection (I8)
|
89% |
4687
55.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4581
35.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5102
39.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
13317
103.3 IPS |
|
|
Style Transfer (F32)
|
100% |
10154
13.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11526
15.2 IPS |
|
|
Style Transfer (I8)
|
98% |
25586
33.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2775
99.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2614
93.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3400
121.4 IPS |
|
|
Text Classification (F32)
|
100% |
1462
2.10 KIPS |
|
|
Text Classification (F16)
|
100% |
1287
1.85 KIPS |
|
|
Text Classification (I8)
|
98% |
1106
1.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
1589
29.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1883
34.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2416
44.5 IPS |
