| User | opensourceeverywhere |
| Upload Date | January 30 2026 07:40 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 8845HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | TianBei WTR MAX |
| Motherboard | TianBei WTR MAX |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 8845HS w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2243
417.1 IPS |
|
|
Image Classification (HP)
|
100% |
576
107.1 IPS |
|
|
Image Classification (Q)
|
99% |
6521
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3765
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4196
4.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
3718
4.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
17892
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2152
170.7 IPS |
|
|
Object Detection (HP)
|
100% |
707
56.1 IPS |
|
|
Object Detection (Q)
|
86% |
4827
388.0 IPS |
|
|
Face Detection (SP)
|
100% |
5069
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
1568
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
9023
107.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5775
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2052
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
6976
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10628
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9653
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23291
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1774
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5452
201.9 IPS |
|
|
Text Classification (SP)
|
100% |
1719
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
407
544.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2063
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2659
53.4 IPS |