| User | NATA |
| Upload Date | March 25 2026 12:43 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9850X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi Lite |
| Motherboard | ASRock X870E Taichi Lite |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9850X3D 8-Core Processor |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9380
1.74 KIPS |
|
|
Image Classification (HP)
|
100% |
9402
1.75 KIPS |
|
|
Image Classification (Q)
|
100% |
22395
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10499
170.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10431
169.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27695
449.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18849
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18936
22.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
74428
87.1 IPS |
|
|
Object Detection (SP)
|
100% |
9738
772.4 IPS |
|
|
Object Detection (HP)
|
100% |
9724
771.3 IPS |
|
|
Object Detection (Q)
|
88% |
23950
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
30512
362.6 IPS |
|
|
Face Detection (HP)
|
100% |
30520
362.6 IPS |
|
|
Face Detection (Q)
|
100% |
61047
725.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
25244
194.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25467
196.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
67534
525.6 IPS |
|
|
Style Transfer (SP)
|
100% |
52642
67.7 IPS |
|
|
Style Transfer (HP)
|
100% |
52758
67.8 IPS |
|
|
Style Transfer (Q)
|
98% |
188571
243.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11671
430.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11735
433.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34485
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
6867
9.17 KIPS |
|
|
Text Classification (HP)
|
100% |
6880
9.18 KIPS |
|
|
Text Classification (Q)
|
92% |
9498
12.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
12649
217.9 IPS |
|
|
Machine Translation (HP)
|
100% |
12651
217.9 IPS |
|
|
Machine Translation (Q)
|
100% |
15443
266.0 IPS |