| User | pathitt |
| Upload Date | March 21 2026 05:17 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606WA_M5606WA |
| Motherboard | ASUSTeK COMPUTER INC. M5606WA |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3419
635.7 IPS |
|
|
Image Classification (HP)
|
100% |
5273
980.6 IPS |
|
|
Image Classification (Q)
|
100% |
3116
579.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3963
64.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6165
99.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3942
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
44004
51.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
112247
131.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34263
40.1 IPS |
|
|
Object Detection (SP)
|
100% |
2730
216.6 IPS |
|
|
Object Detection (HP)
|
100% |
4396
348.7 IPS |
|
|
Object Detection (Q)
|
87% |
2525
202.8 IPS |
|
|
Face Detection (SP)
|
100% |
6965
82.8 IPS |
|
|
Face Detection (HP)
|
100% |
13221
157.1 IPS |
|
|
Face Detection (Q)
|
97% |
5746
68.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21283
164.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34434
265.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
16653
133.6 IPS |
|
|
Style Transfer (SP)
|
100% |
81024
104.2 IPS |
|
|
Style Transfer (HP)
|
100% |
164851
211.9 IPS |
|
|
Style Transfer (Q)
|
98% |
59506
76.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15144
559.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26891
992.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9785
362.3 IPS |
|
|
Text Classification (SP)
|
100% |
2554
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3001
4.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1975
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4088
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4581
78.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1970
37.0 IPS |