| User | domdtxdissar |
| Upload Date | December 15 2024 03:48 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 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% |
7618
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7367
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
15558
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9082
147.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9252
150.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20915
339.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
33939
39.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33742
39.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
132381
155.0 IPS |
|
|
Object Detection (SP)
|
100% |
8349
662.2 IPS |
|
|
Object Detection (HP)
|
100% |
8837
700.9 IPS |
|
|
Object Detection (Q)
|
88% |
18998
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
21406
254.4 IPS |
|
|
Face Detection (HP)
|
100% |
19324
229.6 IPS |
|
|
Face Detection (Q)
|
100% |
49050
582.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25865
199.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
25827
199.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
69783
543.0 IPS |
|
|
Style Transfer (SP)
|
100% |
88035
113.2 IPS |
|
|
Style Transfer (HP)
|
100% |
87647
112.7 IPS |
|
|
Style Transfer (Q)
|
98% |
307236
396.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15601
576.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15421
569.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41216
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5314
7.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5435
7.25 KIPS |
|
|
Text Classification (Q)
|
92% |
7016
9.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
7604
131.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7669
132.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7315
126.0 IPS |