| User | DDD_Xleb |
| Upload Date | August 07 2025 08:57 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606WA_M5606WA |
| Motherboard | ASUSTeK COMPUTER INC. M5606WA |
| 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% |
3174
590.3 IPS |
|
|
Image Classification (HP)
|
100% |
740
137.6 IPS |
|
|
Image Classification (Q)
|
99% |
7401
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10779
175.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8193
9.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
6622
7.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
28054
32.9 IPS |
|
|
Object Detection (SP)
|
100% |
3101
246.0 IPS |
|
|
Object Detection (HP)
|
100% |
957
75.9 IPS |
|
|
Object Detection (Q)
|
86% |
8223
660.9 IPS |
|
|
Face Detection (SP)
|
100% |
6545
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
1954
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
11643
138.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9310
71.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3108
23.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
17286
137.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18023
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16411
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
30282
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2662
98.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2523
93.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1404
52.0 IPS |
|
|
Text Classification (SP)
|
100% |
1565
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
849
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1535
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2670
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1108
19.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3007
60.4 IPS |