| User | ridelisle |
| Upload Date | January 09 2026 04:38 PM |
| Views | 12 |
| Notes | Windows 11 power mode set to "Best Peformance". |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX PRO 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21RWS0HC00 |
| Motherboard | LENOVO 21RWS0HC00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX PRO 370 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% |
3273
608.6 IPS |
|
|
Image Classification (HP)
|
100% |
3139
583.7 IPS |
|
|
Image Classification (Q)
|
100% |
9527
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4300
69.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4196
68.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12152
197.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8102
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
8236
9.61 IPS |
|
|
Pose Estimation (Q)
|
98% |
32410
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
3374
267.6 IPS |
|
|
Object Detection (HP)
|
100% |
3212
254.8 IPS |
|
|
Object Detection (Q)
|
88% |
8801
705.5 IPS |
|
|
Face Detection (SP)
|
100% |
8403
99.8 IPS |
|
|
Face Detection (HP)
|
100% |
8589
102.1 IPS |
|
|
Face Detection (Q)
|
100% |
27944
332.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9452
72.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9236
71.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
23860
185.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21410
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21521
27.7 IPS |
|
|
Style Transfer (Q)
|
98% |
86196
111.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4597
169.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4680
172.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15211
563.3 IPS |
|
|
Text Classification (SP)
|
100% |
2779
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2791
3.73 KIPS |
|
|
Text Classification (Q)
|
92% |
3810
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4243
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4266
73.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5200
89.6 IPS |