| Upload Date | December 10 2025 03:55 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21RYS04C00 |
| Motherboard | LENOVO 21RYS04C00 |
| Power Plan | Equilibrado |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2999
557.6 IPS |
|
|
Image Classification (HP)
|
100% |
4801
892.9 IPS |
|
|
Image Classification (Q)
|
100% |
1997
371.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4023
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5436
88.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3275
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
41599
48.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
90146
105.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
29431
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
2017
160.0 IPS |
|
|
Object Detection (HP)
|
100% |
3624
287.5 IPS |
|
|
Object Detection (Q)
|
87% |
2214
177.8 IPS |
|
|
Face Detection (SP)
|
100% |
6017
71.5 IPS |
|
|
Face Detection (HP)
|
100% |
10643
126.5 IPS |
|
|
Face Detection (Q)
|
97% |
5114
61.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17092
131.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24572
189.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
13038
104.6 IPS |
|
|
Style Transfer (SP)
|
100% |
71279
91.6 IPS |
|
|
Style Transfer (HP)
|
100% |
121307
155.9 IPS |
|
|
Style Transfer (Q)
|
98% |
45032
58.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12273
453.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23319
861.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7955
294.6 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3022
4.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1660
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3476
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2984
51.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1426
26.7 IPS |