| User | domdtxdissar |
| Upload Date | April 17 2025 03:35 PM |
| Views | 6 |
| 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% |
7750
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
7977
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
20081
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10346
167.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11627
188.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
29052
471.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
35723
41.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
35776
41.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
139777
163.6 IPS |
|
|
Object Detection (SP)
|
100% |
9316
738.9 IPS |
|
|
Object Detection (HP)
|
100% |
9882
783.9 IPS |
|
|
Object Detection (Q)
|
88% |
22647
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
21358
253.8 IPS |
|
|
Face Detection (HP)
|
100% |
20902
248.4 IPS |
|
|
Face Detection (Q)
|
100% |
58799
698.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
30445
234.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
28790
221.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
78875
613.9 IPS |
|
|
Style Transfer (SP)
|
100% |
90810
116.7 IPS |
|
|
Style Transfer (HP)
|
100% |
89842
115.5 IPS |
|
|
Style Transfer (Q)
|
98% |
319300
411.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16407
605.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16535
610.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42730
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
5447
7.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5137
6.86 KIPS |
|
|
Text Classification (Q)
|
92% |
6027
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
9892
170.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9876
170.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9884
170.3 IPS |