User | ewdi |
Upload Date | July 06 2025 11:35 PM |
Views | 6 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403WR_GA403WR |
Motherboard | ASUSTeK COMPUTER INC. GA403WR |
Power Plan | Turbo |
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% |
3251
604.6 IPS |
|
Image Classification (HP)
|
100% |
3471
645.4 IPS |
|
Image Classification (Q)
|
100% |
9795
1.82 KIPS |
|
Image Segmentation (SP)
|
100% |
4367
70.8 IPS |
|
Image Segmentation (HP)
|
100% |
3583
58.1 IPS |
|
Image Segmentation (Q)
|
99% |
11637
188.6 IPS |
|
Pose Estimation (SP)
|
100% |
8321
9.71 IPS |
|
Pose Estimation (HP)
|
100% |
8320
9.71 IPS |
|
Pose Estimation (Q)
|
98% |
31473
36.8 IPS |
|
Object Detection (SP)
|
100% |
3369
267.2 IPS |
|
Object Detection (HP)
|
100% |
3370
267.3 IPS |
|
Object Detection (Q)
|
88% |
8974
719.4 IPS |
|
Face Detection (SP)
|
100% |
8711
103.5 IPS |
|
Face Detection (HP)
|
100% |
8788
104.4 IPS |
|
Face Detection (Q)
|
100% |
28095
333.8 IPS |
|
Depth Estimation (SP)
|
100% |
9532
73.4 IPS |
|
Depth Estimation (HP)
|
99% |
9679
74.6 IPS |
|
Depth Estimation (Q)
|
88% |
24677
192.0 IPS |
|
Style Transfer (SP)
|
100% |
21926
28.2 IPS |
|
Style Transfer (HP)
|
100% |
22407
28.8 IPS |
|
Style Transfer (Q)
|
98% |
83925
108.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
4586
169.4 IPS |
|
Image Super-Resolution (HP)
|
100% |
4598
169.8 IPS |
|
Image Super-Resolution (Q)
|
99% |
14955
553.9 IPS |
|
Text Classification (SP)
|
100% |
3342
4.46 KIPS |
|
Text Classification (HP)
|
100% |
3161
4.22 KIPS |
|
Text Classification (Q)
|
92% |
3869
5.20 KIPS |
|
Machine Translation (SP)
|
100% |
4333
74.6 IPS |
|
Machine Translation (HP)
|
100% |
4446
76.6 IPS |
|
Machine Translation (Q)
|
100% |
5335
91.9 IPS |