| Upload Date | November 20 2025 08:50 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX 390 w/ Radeon 8050S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA |
| Motherboard | ASUSTeK COMPUTER INC. GZ302EA |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max 390 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4247
789.8 IPS |
|
|
Image Classification (HP)
|
100% |
3972
738.6 IPS |
|
|
Image Classification (Q)
|
100% |
11708
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2933
47.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3550
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9103
147.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7271
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
6190
7.22 IPS |
|
|
Pose Estimation (Q)
|
98% |
31723
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
3827
303.6 IPS |
|
|
Object Detection (HP)
|
100% |
3318
263.2 IPS |
|
|
Object Detection (Q)
|
88% |
9663
774.6 IPS |
|
|
Face Detection (SP)
|
100% |
9613
114.2 IPS |
|
|
Face Detection (HP)
|
100% |
8121
96.5 IPS |
|
|
Face Detection (Q)
|
100% |
28956
344.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9767
75.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9655
74.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
25742
200.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19695
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18324
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
78869
101.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4247
156.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3880
143.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14147
523.9 IPS |
|
|
Text Classification (SP)
|
100% |
3556
4.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (Q)
|
92% |
5930
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5415
93.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5976
102.9 IPS |
|
|
Machine Translation (Q)
|
100% |
8503
146.5 IPS |