| User | otze54 |
| Upload Date | September 14 2025 10:34 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9955HX3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SchenkerTechnologiesGmbH XMG NEO (A25) |
| Motherboard | NB02 X6FR5xxY |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9955HX3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4608
857.0 IPS |
|
|
Image Classification (HP)
|
100% |
880
163.6 IPS |
|
|
Image Classification (Q)
|
99% |
10324
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15552
252.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
25380
29.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15570
18.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
68776
80.6 IPS |
|
|
Object Detection (SP)
|
100% |
4875
386.7 IPS |
|
|
Object Detection (HP)
|
100% |
1132
89.8 IPS |
|
|
Object Detection (Q)
|
86% |
12755
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
8838
105.0 IPS |
|
|
Face Detection (HP)
|
100% |
2414
28.7 IPS |
|
|
Face Detection (Q)
|
97% |
13433
160.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16923
130.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3987
30.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
26108
208.3 IPS |
|
|
Style Transfer (SP)
|
100% |
41158
52.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33826
43.5 IPS |
|
|
Style Transfer (Q)
|
98% |
45384
58.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3969
146.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3262
120.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2509
92.9 IPS |
|
|
Text Classification (SP)
|
100% |
1892
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
944
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1682
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3526
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4230
85.0 IPS |