| Upload Date | October 25 2025 02:18 AM |
| Views | 4 |
| 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. ProArt P16 H7606WV_H7606WV |
| Motherboard | ASUSTeK COMPUTER INC. H7606WV |
| 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% |
3745
696.4 IPS |
|
|
Image Classification (HP)
|
100% |
3342
621.5 IPS |
|
|
Image Classification (Q)
|
100% |
9700
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4090
66.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4161
67.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11184
181.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8299
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
8292
9.67 IPS |
|
|
Pose Estimation (Q)
|
98% |
31366
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
3422
271.4 IPS |
|
|
Object Detection (HP)
|
100% |
3422
271.4 IPS |
|
|
Object Detection (Q)
|
88% |
9706
778.0 IPS |
|
|
Face Detection (SP)
|
100% |
8419
100.0 IPS |
|
|
Face Detection (HP)
|
100% |
8306
98.7 IPS |
|
|
Face Detection (Q)
|
100% |
27230
323.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9367
72.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9174
70.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
23510
183.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22676
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22197
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
81035
104.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4540
167.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4572
168.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15359
568.8 IPS |
|
|
Text Classification (SP)
|
100% |
3149
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (Q)
|
92% |
4772
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4235
72.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4647
80.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6641
114.4 IPS |