| User | domdtxdissar |
| Upload Date | April 21 2025 04:41 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% |
7370
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
8060
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
20166
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10503
170.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11424
185.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
28485
461.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
35052
40.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34963
40.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
138246
161.8 IPS |
|
|
Object Detection (SP)
|
100% |
9324
739.6 IPS |
|
|
Object Detection (HP)
|
100% |
9205
730.1 IPS |
|
|
Object Detection (Q)
|
88% |
22713
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
19449
231.1 IPS |
|
|
Face Detection (HP)
|
100% |
20199
240.0 IPS |
|
|
Face Detection (Q)
|
100% |
55951
664.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
28278
217.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
27956
215.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
76128
592.5 IPS |
|
|
Style Transfer (SP)
|
100% |
88678
114.0 IPS |
|
|
Style Transfer (HP)
|
100% |
88633
113.9 IPS |
|
|
Style Transfer (Q)
|
98% |
313807
404.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15797
583.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16454
607.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42111
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
5221
6.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5260
7.02 KIPS |
|
|
Text Classification (Q)
|
92% |
6261
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
9232
159.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9203
158.5 IPS |
|
|
Machine Translation (Q)
|
100% |
9642
166.1 IPS |