| User | DDD_Xleb |
| Upload Date | July 07 2025 07:11 AM |
| Views | 12 |
| 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% |
3041
565.6 IPS |
|
|
Image Classification (HP)
|
100% |
749
139.4 IPS |
|
|
Image Classification (Q)
|
99% |
7167
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1166
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10440
169.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7383
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
5916
6.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
26648
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
3120
247.4 IPS |
|
|
Object Detection (HP)
|
100% |
875
69.4 IPS |
|
|
Object Detection (Q)
|
86% |
7717
620.2 IPS |
|
|
Face Detection (SP)
|
100% |
6387
75.9 IPS |
|
|
Face Detection (HP)
|
100% |
1592
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
10678
127.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8422
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2814
21.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16278
129.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16962
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14230
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32179
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2605
96.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2469
91.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1354
50.1 IPS |
|
|
Text Classification (SP)
|
100% |
1495
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1400
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2134
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3057
61.4 IPS |