| User | NeilB |
| Upload Date | June 05 2025 02:27 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 | 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% |
8382
1.56 KIPS |
|
|
Image Classification (HP)
|
100% |
8221
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
20219
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11611
188.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11574
187.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32831
532.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
33954
39.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
34011
39.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
134395
157.3 IPS |
|
|
Object Detection (SP)
|
100% |
9962
790.2 IPS |
|
|
Object Detection (HP)
|
100% |
9906
785.7 IPS |
|
|
Object Detection (Q)
|
88% |
21793
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
24808
294.8 IPS |
|
|
Face Detection (HP)
|
100% |
24173
287.2 IPS |
|
|
Face Detection (Q)
|
100% |
61722
733.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28532
219.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
28327
218.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
79065
615.4 IPS |
|
|
Style Transfer (SP)
|
100% |
86238
110.9 IPS |
|
|
Style Transfer (HP)
|
100% |
86128
110.7 IPS |
|
|
Style Transfer (Q)
|
98% |
309643
399.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15883
586.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15622
576.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42412
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
5316
7.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5200
6.94 KIPS |
|
|
Text Classification (Q)
|
92% |
5667
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
8876
152.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8997
155.0 IPS |
|
|
Machine Translation (Q)
|
100% |
9591
165.2 IPS |