| User | Fur1on |
| Upload Date | April 07 2025 09:37 PM |
| Views | 9 |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7648
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7628
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
20077
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11259
182.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10337
167.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
28441
461.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
33053
38.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33007
38.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
131529
154.0 IPS |
|
|
Object Detection (SP)
|
100% |
9141
725.0 IPS |
|
|
Object Detection (HP)
|
100% |
9198
729.6 IPS |
|
|
Object Detection (Q)
|
88% |
22407
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
20158
239.5 IPS |
|
|
Face Detection (HP)
|
100% |
20154
239.5 IPS |
|
|
Face Detection (Q)
|
100% |
60055
713.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27670
213.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
27578
212.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
75655
588.8 IPS |
|
|
Style Transfer (SP)
|
100% |
84918
109.2 IPS |
|
|
Style Transfer (HP)
|
100% |
84608
108.8 IPS |
|
|
Style Transfer (Q)
|
98% |
299075
385.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15594
575.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15117
558.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39891
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5193
6.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5097
6.80 KIPS |
|
|
Text Classification (Q)
|
92% |
6437
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
9073
156.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9413
162.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9721
167.5 IPS |