| User | steffenmaechtel |
| Upload Date | November 22 2025 10:44 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| 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% |
8585
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
8432
1.57 KIPS |
|
|
Image Classification (Q)
|
100% |
20740
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9443
153.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9454
153.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25613
415.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17029
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16833
19.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
67535
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
8806
698.5 IPS |
|
|
Object Detection (HP)
|
100% |
8852
702.1 IPS |
|
|
Object Detection (Q)
|
88% |
22504
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
27573
327.6 IPS |
|
|
Face Detection (HP)
|
100% |
27537
327.2 IPS |
|
|
Face Detection (Q)
|
100% |
56428
670.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22503
173.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22478
173.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
62182
483.9 IPS |
|
|
Style Transfer (SP)
|
100% |
48761
62.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48997
63.0 IPS |
|
|
Style Transfer (Q)
|
98% |
173035
223.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10768
397.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10708
395.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31783
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
6527
8.71 KIPS |
|
|
Text Classification (HP)
|
100% |
6539
8.73 KIPS |
|
|
Text Classification (Q)
|
92% |
8989
12.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
12078
208.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11955
205.9 IPS |
|
|
Machine Translation (Q)
|
100% |
14314
246.6 IPS |