| User | NeilB |
| Upload Date | April 04 2025 02:43 PM |
| Views | 19 |
| 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% |
7666
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
8135
1.51 KIPS |
|
|
Image Classification (Q)
|
100% |
19625
3.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11992
194.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11889
192.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
35422
574.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
33725
39.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
33782
39.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
134709
157.7 IPS |
|
|
Object Detection (SP)
|
100% |
9658
766.1 IPS |
|
|
Object Detection (HP)
|
100% |
9357
742.2 IPS |
|
|
Object Detection (Q)
|
88% |
21604
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
25665
305.0 IPS |
|
|
Face Detection (HP)
|
100% |
23593
280.3 IPS |
|
|
Face Detection (Q)
|
100% |
64082
761.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
29515
227.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
30298
233.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
78591
611.7 IPS |
|
|
Style Transfer (SP)
|
100% |
85409
109.8 IPS |
|
|
Style Transfer (HP)
|
100% |
85978
110.5 IPS |
|
|
Style Transfer (Q)
|
98% |
311615
401.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16021
591.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15865
585.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42494
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
5140
6.86 KIPS |
|
|
Text Classification (HP)
|
100% |
4994
6.67 KIPS |
|
|
Text Classification (Q)
|
92% |
5747
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
8984
154.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9352
161.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9784
168.5 IPS |