| Upload Date | December 14 2025 06:15 AM |
| Views | 5 |
| 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 | Performance |
| 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% |
3255
605.4 IPS |
|
|
Image Classification (HP)
|
100% |
3161
587.9 IPS |
|
|
Image Classification (Q)
|
100% |
9122
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3966
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4059
65.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11094
179.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8080
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
8086
9.43 IPS |
|
|
Pose Estimation (Q)
|
98% |
29528
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
3070
243.5 IPS |
|
|
Object Detection (HP)
|
100% |
3140
249.1 IPS |
|
|
Object Detection (Q)
|
88% |
8517
682.8 IPS |
|
|
Face Detection (SP)
|
100% |
8141
96.7 IPS |
|
|
Face Detection (HP)
|
100% |
7874
93.6 IPS |
|
|
Face Detection (Q)
|
100% |
22516
267.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8723
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8706
67.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
22223
172.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21476
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21010
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
75336
97.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4237
156.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4288
158.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13906
515.0 IPS |
|
|
Text Classification (SP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3071
4.10 KIPS |
|
|
Text Classification (Q)
|
92% |
3818
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3927
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4040
69.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5027
86.6 IPS |