| User | NeilB |
| Upload Date | April 04 2025 01:36 PM |
| Views | 15 |
| 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 | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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% |
7476
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7594
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
19460
3.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11465
185.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10484
170.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27094
439.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
33878
39.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
33601
39.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
132328
154.9 IPS |
|
|
Object Detection (SP)
|
100% |
9439
748.7 IPS |
|
|
Object Detection (HP)
|
100% |
9880
783.7 IPS |
|
|
Object Detection (Q)
|
88% |
22150
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
21006
249.6 IPS |
|
|
Face Detection (HP)
|
100% |
22149
263.2 IPS |
|
|
Face Detection (Q)
|
100% |
56027
665.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
28282
217.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
27461
211.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
73695
573.6 IPS |
|
|
Style Transfer (SP)
|
100% |
86197
110.8 IPS |
|
|
Style Transfer (HP)
|
100% |
84898
109.1 IPS |
|
|
Style Transfer (Q)
|
98% |
307119
396.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15515
572.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15979
590.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41371
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5022
6.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5068
6.76 KIPS |
|
|
Text Classification (Q)
|
92% |
5800
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
9322
160.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9497
163.6 IPS |
|
|
Machine Translation (Q)
|
100% |
9500
163.6 IPS |