| Upload Date | June 03 2025 03:03 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403WW_GA403WW |
| Motherboard | ASUSTeK COMPUTER INC. GA403WW |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3119
580.1 IPS |
|
|
Image Classification (HP)
|
100% |
652
121.2 IPS |
|
|
Image Classification (Q)
|
99% |
7837
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1864
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3957
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7805
9.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
6416
7.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
30378
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
3288
260.8 IPS |
|
|
Object Detection (HP)
|
100% |
848
67.2 IPS |
|
|
Object Detection (Q)
|
86% |
8420
676.7 IPS |
|
|
Face Detection (SP)
|
100% |
6415
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
1923
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
11657
139.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9258
71.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2702
20.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
17942
143.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18734
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16564
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35493
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2619
96.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2397
88.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4481
165.9 IPS |
|
|
Text Classification (SP)
|
100% |
1722
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1777
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2482
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4183
84.0 IPS |