| Upload Date | November 18 2025 07:41 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX PRO 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21RX000MUS |
| Motherboard | LENOVO 21RX000MUS |
| 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% |
2816
523.6 IPS |
|
|
Image Classification (HP)
|
100% |
2761
513.5 IPS |
|
|
Image Classification (Q)
|
100% |
7983
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3627
58.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3661
59.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10968
177.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6639
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
6818
7.96 IPS |
|
|
Pose Estimation (Q)
|
98% |
27150
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
2799
222.0 IPS |
|
|
Object Detection (HP)
|
100% |
2599
206.1 IPS |
|
|
Object Detection (Q)
|
88% |
7659
614.0 IPS |
|
|
Face Detection (SP)
|
100% |
7172
85.2 IPS |
|
|
Face Detection (HP)
|
100% |
7202
85.6 IPS |
|
|
Face Detection (Q)
|
100% |
22617
268.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8031
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8260
63.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
21489
167.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18538
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19373
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
72639
93.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3804
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4017
148.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12857
476.1 IPS |
|
|
Text Classification (SP)
|
100% |
2593
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2539
3.39 KIPS |
|
|
Text Classification (Q)
|
92% |
3382
4.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3577
61.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4312
74.3 IPS |