| Upload Date | October 13 2025 12:19 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA |
| Motherboard | ASUSTeK COMPUTER INC. GZ302EA |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4583
852.3 IPS |
|
|
Image Classification (HP)
|
100% |
4424
822.7 IPS |
|
|
Image Classification (Q)
|
100% |
13316
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4648
75.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4743
76.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12146
196.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9129
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9327
10.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
40855
47.8 IPS |
|
|
Object Detection (SP)
|
100% |
3959
314.0 IPS |
|
|
Object Detection (HP)
|
100% |
4026
319.4 IPS |
|
|
Object Detection (Q)
|
88% |
7898
633.1 IPS |
|
|
Face Detection (SP)
|
100% |
10660
126.7 IPS |
|
|
Face Detection (HP)
|
100% |
7903
93.9 IPS |
|
|
Face Detection (Q)
|
100% |
28780
342.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8676
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10481
80.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
29242
227.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24817
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22896
29.4 IPS |
|
|
Style Transfer (Q)
|
98% |
85505
110.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5824
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4439
163.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20984
777.1 IPS |
|
|
Text Classification (SP)
|
100% |
4074
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4418
5.90 KIPS |
|
|
Text Classification (Q)
|
92% |
6215
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5227
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4855
83.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7541
129.9 IPS |