| User | SpaceAceTACP |
| Upload Date | January 08 2026 08:23 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX PRO 375 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook X G1a 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D08 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX PRO 375 w/ Radeon 890M |
| 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% |
714
132.8 IPS |
|
|
Image Classification (HP)
|
100% |
839
156.1 IPS |
|
|
Image Classification (Q)
|
100% |
2848
529.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1078
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
820
13.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1811
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8133
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
8212
9.58 IPS |
|
|
Pose Estimation (Q)
|
98% |
28686
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
2960
234.8 IPS |
|
|
Object Detection (HP)
|
100% |
808
64.1 IPS |
|
|
Object Detection (Q)
|
88% |
9420
755.1 IPS |
|
|
Face Detection (SP)
|
100% |
1794
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
2177
25.9 IPS |
|
|
Face Detection (Q)
|
100% |
5351
63.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9514
73.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9609
74.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
9716
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21994
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22256
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
77150
99.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4655
171.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4254
157.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2829
104.8 IPS |
|
|
Text Classification (SP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (Q)
|
92% |
1923
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3975
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4112
70.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4606
79.3 IPS |