| User | steffenmaechtel |
| Upload Date | November 22 2025 10:37 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B850M-K |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13460
2.50 KIPS |
|
|
Image Classification (HP)
|
100% |
16235
3.02 KIPS |
|
|
Image Classification (Q)
|
100% |
12127
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20436
331.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
30117
488.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18659
303.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
133528
155.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
464764
542.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
118228
138.5 IPS |
|
|
Object Detection (SP)
|
100% |
11651
924.1 IPS |
|
|
Object Detection (HP)
|
99% |
18400
1.46 KIPS |
|
|
Object Detection (Q)
|
87% |
10718
860.8 IPS |
|
|
Face Detection (SP)
|
100% |
35033
416.3 IPS |
|
|
Face Detection (HP)
|
100% |
50716
602.6 IPS |
|
|
Face Detection (Q)
|
97% |
29488
351.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
69571
536.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
103517
797.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
56638
454.2 IPS |
|
|
Style Transfer (SP)
|
100% |
255464
328.4 IPS |
|
|
Style Transfer (HP)
|
100% |
515547
662.7 IPS |
|
|
Style Transfer (Q)
|
98% |
213092
274.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43639
1.61 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90284
3.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33684
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
4437
5.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5171
6.90 KIPS |
|
|
Text Classification (Q)
|
97% |
3185
4.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
7159
123.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7278
125.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3816
71.6 IPS |