| Upload Date | October 27 2025 09:47 AM |
| Views | 15 |
| 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 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1523
285.0 IPS |
|
|
Image Classification (F16)
|
100% |
1557
291.4 IPS |
|
|
Image Classification (I8)
|
99% |
3523
659.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1233
20.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1298
21.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2271
37.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5405
6.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
5036
6.10 IPS |
|
|
Pose Estimation (I8)
|
100% |
22987
27.8 IPS |
|
|
Object Detection (F32)
|
100% |
1421
106.1 IPS |
|
|
Object Detection (F16)
|
100% |
1463
109.2 IPS |
|
|
Object Detection (I8)
|
62% |
1644
122.8 IPS |
|
|
Face Detection (F32)
|
100% |
2903
34.5 IPS |
|
|
Face Detection (F16)
|
100% |
2831
33.7 IPS |
|
|
Face Detection (I8)
|
89% |
4923
58.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5613
43.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6894
53.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
14876
115.4 IPS |
|
|
Style Transfer (F32)
|
100% |
15370
20.2 IPS |
|
|
Style Transfer (F16)
|
100% |
14163
18.6 IPS |
|
|
Style Transfer (I8)
|
98% |
25798
33.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2209
78.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2046
73.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2560
91.4 IPS |
|
|
Text Classification (F32)
|
100% |
1084
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1167
1.68 KIPS |
|
|
Text Classification (I8)
|
98% |
853
1.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
2190
40.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2290
42.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3136
57.7 IPS |