| Upload Date | October 27 2025 10:14 AM |
| Views | 12 |
| 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% |
1632
305.5 IPS |
|
|
Image Classification (F16)
|
100% |
1561
292.1 IPS |
|
|
Image Classification (I8)
|
99% |
4197
785.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1410
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1129
18.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2662
44.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5375
6.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
5569
6.74 IPS |
|
|
Pose Estimation (I8)
|
100% |
23799
28.8 IPS |
|
|
Object Detection (F32)
|
100% |
1505
112.3 IPS |
|
|
Object Detection (F16)
|
100% |
1483
110.7 IPS |
|
|
Object Detection (I8)
|
62% |
1701
127.0 IPS |
|
|
Face Detection (F32)
|
100% |
2869
34.1 IPS |
|
|
Face Detection (F16)
|
100% |
2768
32.9 IPS |
|
|
Face Detection (I8)
|
89% |
4429
52.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6674
51.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6182
47.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
15839
122.8 IPS |
|
|
Style Transfer (F32)
|
100% |
13301
17.5 IPS |
|
|
Style Transfer (F16)
|
100% |
15643
20.6 IPS |
|
|
Style Transfer (I8)
|
98% |
27819
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2795
99.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2898
103.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4202
150.1 IPS |
|
|
Text Classification (F32)
|
100% |
1551
2.23 KIPS |
|
|
Text Classification (F16)
|
100% |
1519
2.18 KIPS |
|
|
Text Classification (I8)
|
98% |
1236
1.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
2384
43.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2368
43.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3037
55.9 IPS |