| User | DDD_Xleb |
| Upload Date | July 07 2025 07:16 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| 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% |
2297
427.2 IPS |
|
|
Image Classification (HP)
|
100% |
4646
864.1 IPS |
|
|
Image Classification (Q)
|
100% |
1992
370.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4268
69.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5559
90.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3546
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
41416
48.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
86711
101.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31006
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
2077
164.7 IPS |
|
|
Object Detection (HP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (Q)
|
87% |
1948
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
6296
74.8 IPS |
|
|
Face Detection (HP)
|
100% |
10670
126.8 IPS |
|
|
Face Detection (Q)
|
97% |
5343
63.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16294
125.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24720
190.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
12641
101.4 IPS |
|
|
Style Transfer (SP)
|
100% |
64342
82.7 IPS |
|
|
Style Transfer (HP)
|
100% |
108469
139.4 IPS |
|
|
Style Transfer (Q)
|
98% |
45967
59.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8720
322.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23055
851.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6243
231.2 IPS |
|
|
Text Classification (SP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1697
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2541
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2482
42.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1418
26.6 IPS |