| User | domdtxdissar |
| Upload Date | April 17 2025 03:38 PM |
| Views | 7 |
| 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 X870E APEX |
| 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% |
8055
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
7727
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
18869
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10409
168.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10171
164.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
28927
468.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
34725
40.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
35897
41.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
138696
162.4 IPS |
|
|
Object Detection (SP)
|
100% |
9146
725.4 IPS |
|
|
Object Detection (HP)
|
100% |
9559
758.2 IPS |
|
|
Object Detection (Q)
|
88% |
23025
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
19955
237.1 IPS |
|
|
Face Detection (HP)
|
100% |
20674
245.7 IPS |
|
|
Face Detection (Q)
|
100% |
56604
672.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
28716
221.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
29481
227.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
77670
604.5 IPS |
|
|
Style Transfer (SP)
|
100% |
90077
115.8 IPS |
|
|
Style Transfer (HP)
|
100% |
88205
113.4 IPS |
|
|
Style Transfer (Q)
|
98% |
318531
410.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16303
602.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16738
618.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42160
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
5438
7.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5263
7.02 KIPS |
|
|
Text Classification (Q)
|
92% |
6024
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
9246
159.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9691
166.9 IPS |
|
|
Machine Translation (Q)
|
100% |
9790
168.6 IPS |