| Upload Date | November 20 2025 09:00 AM |
| Views | 6 |
| 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% |
3934
731.6 IPS |
|
|
Image Classification (HP)
|
100% |
3367
626.2 IPS |
|
|
Image Classification (Q)
|
100% |
9238
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4386
71.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4192
68.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7477
121.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7267
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
7138
8.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
29983
35.1 IPS |
|
|
Object Detection (SP)
|
100% |
3713
294.5 IPS |
|
|
Object Detection (HP)
|
100% |
2863
227.1 IPS |
|
|
Object Detection (Q)
|
88% |
9166
734.8 IPS |
|
|
Face Detection (SP)
|
100% |
9825
116.7 IPS |
|
|
Face Detection (HP)
|
100% |
6935
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
22012
261.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8146
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9892
76.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
22936
178.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18582
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18900
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
79025
101.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4322
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4548
167.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11137
412.4 IPS |
|
|
Text Classification (SP)
|
100% |
3297
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3146
4.20 KIPS |
|
|
Text Classification (Q)
|
92% |
6428
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5632
97.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4652
80.1 IPS |
|
|
Machine Translation (Q)
|
100% |
8055
138.8 IPS |