| User | JeanCarrasco |
| Upload Date | August 25 2025 08:11 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi Lite |
| Motherboard | ASRock X870E Taichi Lite |
| Power Plan | Dynamic Boost Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7920
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
7967
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
19137
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10949
177.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10293
166.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
29470
477.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
35362
41.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
35343
41.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
136251
159.5 IPS |
|
|
Object Detection (SP)
|
100% |
8973
711.8 IPS |
|
|
Object Detection (HP)
|
100% |
9460
750.4 IPS |
|
|
Object Detection (Q)
|
88% |
22002
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
20019
237.9 IPS |
|
|
Face Detection (HP)
|
100% |
20106
238.9 IPS |
|
|
Face Detection (Q)
|
100% |
60491
718.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
28181
217.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
29523
227.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
73534
572.2 IPS |
|
|
Style Transfer (SP)
|
100% |
89906
115.6 IPS |
|
|
Style Transfer (HP)
|
100% |
88539
113.8 IPS |
|
|
Style Transfer (Q)
|
98% |
311944
402.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15898
587.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16422
606.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42671
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
5027
6.71 KIPS |
|
|
Text Classification (HP)
|
100% |
5285
7.05 KIPS |
|
|
Text Classification (Q)
|
92% |
6279
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
9464
163.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9724
167.5 IPS |
|
|
Machine Translation (Q)
|
100% |
10496
180.8 IPS |