Upload Date | January 12 2025 04:40 PM |
Views | 2 |
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 Zenbook S 16 UM5606WA_UM5606WA |
Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
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% |
2831
526.4 IPS |
|
Image Classification (HP)
|
100% |
4498
836.5 IPS |
|
Image Classification (Q)
|
100% |
2323
432.1 IPS |
|
Image Segmentation (SP)
|
100% |
4442
72.0 IPS |
|
Image Segmentation (HP)
|
100% |
5561
90.2 IPS |
|
Image Segmentation (Q)
|
98% |
3725
60.6 IPS |
|
Pose Estimation (SP)
|
100% |
43323
50.6 IPS |
|
Pose Estimation (HP)
|
100% |
71422
83.3 IPS |
|
Pose Estimation (Q)
|
96% |
33354
39.1 IPS |
|
Object Detection (SP)
|
100% |
2235
177.3 IPS |
|
Object Detection (HP)
|
100% |
3185
252.6 IPS |
|
Object Detection (Q)
|
89% |
2036
162.9 IPS |
|
Face Detection (SP)
|
100% |
6002
71.3 IPS |
|
Face Detection (HP)
|
100% |
10236
121.6 IPS |
|
Face Detection (Q)
|
97% |
4758
56.7 IPS |
|
Depth Estimation (SP)
|
100% |
16473
126.9 IPS |
|
Depth Estimation (HP)
|
99% |
25799
198.8 IPS |
|
Depth Estimation (Q)
|
73% |
13151
107.4 IPS |
|
Style Transfer (SP)
|
100% |
74133
95.3 IPS |
|
Style Transfer (HP)
|
100% |
117568
151.1 IPS |
|
Style Transfer (Q)
|
98% |
50513
65.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
12995
479.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
19439
717.8 IPS |
|
Image Super-Resolution (Q)
|
99% |
8621
319.2 IPS |
|
Text Classification (SP)
|
100% |
2452
3.27 KIPS |
|
Text Classification (HP)
|
100% |
2597
3.47 KIPS |
|
Text Classification (Q)
|
97% |
1644
2.20 KIPS |
|
Machine Translation (SP)
|
100% |
1720
29.6 IPS |
|
Machine Translation (HP)
|
100% |
1690
29.1 IPS |
|
Machine Translation (Q)
|
60% |
1258
28.1 IPS |