| Upload Date | November 20 2025 09:09 AM |
| Views | 5 |
| 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% |
3719
691.6 IPS |
|
|
Image Classification (HP)
|
100% |
3344
621.9 IPS |
|
|
Image Classification (Q)
|
100% |
9661
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3017
48.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4097
66.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7287
118.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7187
8.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
7503
8.75 IPS |
|
|
Pose Estimation (Q)
|
98% |
30030
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
3415
270.9 IPS |
|
|
Object Detection (HP)
|
100% |
3183
252.4 IPS |
|
|
Object Detection (Q)
|
88% |
12508
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
6707
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
7497
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
18244
216.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8110
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9133
70.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
24083
187.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18516
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18219
23.4 IPS |
|
|
Style Transfer (Q)
|
98% |
79845
103.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4936
182.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4849
179.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13216
489.5 IPS |
|
|
Text Classification (SP)
|
100% |
4160
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
3363
4.49 KIPS |
|
|
Text Classification (Q)
|
92% |
5898
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5712
98.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5214
89.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7279
125.4 IPS |