| Upload Date | June 18 2025 12:54 PM |
| Views | 6 |
| 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 G16 GA605WI_GA605WI |
| Motherboard | ASUSTeK COMPUTER INC. GA605WI |
| Power Plan | Silent |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| 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% |
1741
323.8 IPS |
|
|
Image Classification (HP)
|
100% |
398
74.0 IPS |
|
|
Image Classification (Q)
|
99% |
5648
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2706
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4456
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
3750
4.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
19233
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (HP)
|
100% |
525
41.7 IPS |
|
|
Object Detection (Q)
|
86% |
5440
437.2 IPS |
|
|
Face Detection (SP)
|
100% |
4352
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
1254
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
8109
96.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5401
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1865
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
13147
104.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10279
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9823
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26529
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1524
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2915
107.9 IPS |
|
|
Text Classification (SP)
|
100% |
1081
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
471
629.1 IPS |
|
|
Text Classification (Q)
|
97% |
1231
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1699
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
575
9.91 IPS |
|
|
Machine Translation (Q)
|
65% |
2641
53.1 IPS |