| Upload Date | December 13 2025 03:11 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21RH001BGE |
| Motherboard | LENOVO 21RH001BGE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 5 PRO 340 w/ Radeon 840M |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1962
364.9 IPS |
|
|
Image Classification (HP)
|
100% |
2134
396.9 IPS |
|
|
Image Classification (Q)
|
100% |
1833
340.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2731
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2139
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14378
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26956
31.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
13732
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1656
131.4 IPS |
|
|
Object Detection (HP)
|
100% |
1835
145.6 IPS |
|
|
Object Detection (Q)
|
87% |
1444
116.0 IPS |
|
|
Face Detection (SP)
|
100% |
4794
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
6996
83.1 IPS |
|
|
Face Detection (Q)
|
97% |
4168
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9368
72.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13433
103.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
8205
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28104
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
42497
54.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19407
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5750
212.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9867
364.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4767
176.5 IPS |
|
|
Text Classification (SP)
|
100% |
1647
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2778
3.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1183
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2421
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2260
38.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1118
21.0 IPS |