| User | YOUNGCHAN |
| Upload Date | February 27 2026 01:23 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA |
| Motherboard | ASUSTeK COMPUTER INC. M5406WA |
| 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 |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2679
498.3 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (Q)
|
99% |
4904
914.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
795
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
617
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6501
105.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4401
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3855
4.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
16282
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2138
169.6 IPS |
|
|
Object Detection (HP)
|
100% |
535
42.4 IPS |
|
|
Object Detection (Q)
|
86% |
4881
392.3 IPS |
|
|
Face Detection (SP)
|
100% |
4517
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
1145
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
6923
82.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5577
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1683
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
12119
96.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10785
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10437
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23793
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1732
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1639
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3287
121.7 IPS |
|
|
Text Classification (SP)
|
100% |
1494
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1301
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
868
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2806
56.4 IPS |