| Upload Date | November 28 2025 08:21 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403WR_GA403WR |
| Motherboard | ASUSTeK COMPUTER INC. GA403WR |
| Power Plan | Turbo |
| 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% |
3541
658.6 IPS |
|
|
Image Classification (HP)
|
100% |
3730
693.6 IPS |
|
|
Image Classification (Q)
|
100% |
10190
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4345
70.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4330
70.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11936
193.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8412
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
8373
9.77 IPS |
|
|
Pose Estimation (Q)
|
98% |
32144
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
3567
282.9 IPS |
|
|
Object Detection (HP)
|
100% |
3568
283.0 IPS |
|
|
Object Detection (Q)
|
88% |
10682
856.3 IPS |
|
|
Face Detection (SP)
|
100% |
8561
101.7 IPS |
|
|
Face Detection (HP)
|
100% |
8438
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
29378
349.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9685
74.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9694
74.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
26465
206.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22403
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21907
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
86201
111.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4661
172.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4727
174.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15270
565.5 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (Q)
|
92% |
3869
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4678
80.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4624
79.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6392
110.1 IPS |