| User | marcussiemens |
| Upload Date | October 04 2025 06:46 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock A520M-ITX/ac |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5216
970.0 IPS |
|
|
Image Classification (HP)
|
100% |
9185
1.71 KIPS |
|
|
Image Classification (Q)
|
99% |
4141
772.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8909
144.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12823
207.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7020
114.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
57450
67.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
157852
184.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
48599
56.9 IPS |
|
|
Object Detection (SP)
|
100% |
6225
493.8 IPS |
|
|
Object Detection (HP)
|
100% |
10996
872.2 IPS |
|
|
Object Detection (Q)
|
84% |
4897
395.0 IPS |
|
|
Face Detection (SP)
|
100% |
14846
176.4 IPS |
|
|
Face Detection (HP)
|
100% |
24526
291.4 IPS |
|
|
Face Detection (Q)
|
97% |
12021
143.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
29992
231.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
57314
441.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
20551
164.2 IPS |
|
|
Style Transfer (SP)
|
100% |
100161
128.8 IPS |
|
|
Style Transfer (HP)
|
100% |
238701
306.9 IPS |
|
|
Style Transfer (Q)
|
98% |
83920
108.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17446
644.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30251
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10903
403.7 IPS |
|
|
Text Classification (SP)
|
100% |
1878
2.51 KIPS |
|
|
Text Classification (HP)
|
99% |
2708
3.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1011
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3241
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3356
57.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1377
25.8 IPS |