| User | hsvadmin |
| Upload Date | November 06 2025 04:22 PM |
| Views | 4 |
| Notes | LENOVO 21U0 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21U0 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8940HX with Radeon Graphics |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7330
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
14198
2.64 KIPS |
|
|
Image Classification (Q)
|
99% |
6925
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12914
209.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20391
330.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12072
196.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
84854
99.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
272730
318.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
77191
90.4 IPS |
|
|
Object Detection (SP)
|
100% |
9689
768.5 IPS |
|
|
Object Detection (HP)
|
100% |
18102
1.44 KIPS |
|
|
Object Detection (Q)
|
87% |
8624
692.1 IPS |
|
|
Face Detection (SP)
|
100% |
24097
286.3 IPS |
|
|
Face Detection (HP)
|
100% |
41152
489.0 IPS |
|
|
Face Detection (Q)
|
97% |
21117
251.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
43624
336.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
93120
717.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
35454
283.5 IPS |
|
|
Style Transfer (SP)
|
100% |
132109
169.8 IPS |
|
|
Style Transfer (HP)
|
100% |
450329
578.9 IPS |
|
|
Style Transfer (Q)
|
98% |
113289
146.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24589
908.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49539
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19792
732.9 IPS |
|
|
Text Classification (SP)
|
100% |
3122
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3747
5.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2017
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4379
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4916
84.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1812
34.0 IPS |