| Upload Date | April 16 2026 04:24 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 | 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3109
578.1 IPS |
|
|
Image Classification (HP)
|
100% |
3227
600.2 IPS |
|
|
Image Classification (Q)
|
100% |
9955
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4236
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4027
65.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10795
175.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7977
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
8116
9.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
32607
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
3320
263.4 IPS |
|
|
Object Detection (HP)
|
100% |
3463
274.7 IPS |
|
|
Object Detection (Q)
|
88% |
10373
831.5 IPS |
|
|
Face Detection (SP)
|
100% |
8452
100.4 IPS |
|
|
Face Detection (HP)
|
100% |
7767
92.3 IPS |
|
|
Face Detection (Q)
|
100% |
23744
282.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9559
73.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9257
71.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
23709
184.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22804
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22489
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
85201
109.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4677
172.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4727
174.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15222
563.7 IPS |
|
|
Text Classification (SP)
|
100% |
3010
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (Q)
|
92% |
3931
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4203
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4126
71.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5502
94.8 IPS |