| User | Xairo |
| Upload Date | September 05 2025 10:03 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING II |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7456
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7306
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
6454
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9714
157.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7870
127.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8375
136.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
86895
101.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
133063
155.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
73124
85.7 IPS |
|
|
Object Detection (SP)
|
100% |
6242
495.1 IPS |
|
|
Object Detection (HP)
|
100% |
7743
614.1 IPS |
|
|
Object Detection (Q)
|
87% |
5529
444.1 IPS |
|
|
Face Detection (SP)
|
100% |
19333
229.7 IPS |
|
|
Face Detection (HP)
|
100% |
23481
279.0 IPS |
|
|
Face Detection (Q)
|
97% |
15952
190.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
41072
316.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51455
396.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
32075
257.6 IPS |
|
|
Style Transfer (SP)
|
100% |
165124
212.3 IPS |
|
|
Style Transfer (HP)
|
100% |
209144
268.9 IPS |
|
|
Style Transfer (Q)
|
98% |
136196
175.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25992
959.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31443
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19349
716.5 IPS |
|
|
Text Classification (SP)
|
100% |
2410
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2644
3.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1748
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3275
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3553
61.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1895
35.5 IPS |