| Upload Date | November 20 2025 08:55 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% |
3276
609.2 IPS |
|
|
Image Classification (HP)
|
100% |
4049
752.9 IPS |
|
|
Image Classification (Q)
|
100% |
11937
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4467
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4519
73.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9822
159.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7147
8.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
7324
8.55 IPS |
|
|
Pose Estimation (Q)
|
98% |
31259
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
3164
250.9 IPS |
|
|
Object Detection (HP)
|
100% |
3939
312.5 IPS |
|
|
Object Detection (Q)
|
88% |
11974
959.8 IPS |
|
|
Face Detection (SP)
|
100% |
9830
116.8 IPS |
|
|
Face Detection (HP)
|
100% |
9991
118.7 IPS |
|
|
Face Detection (Q)
|
100% |
23085
274.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8448
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8493
65.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
22240
173.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18183
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16509
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
85756
110.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4754
175.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5223
192.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16706
618.7 IPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3295
4.40 KIPS |
|
|
Text Classification (Q)
|
92% |
6859
9.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6439
110.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6140
105.8 IPS |
|
|
Machine Translation (Q)
|
100% |
8013
138.0 IPS |