| User | domdtxdissar |
| Upload Date | September 19 2024 07:50 PM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5584
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
5361
997.1 IPS |
|
|
Image Classification (Q)
|
100% |
11918
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5633
91.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5423
87.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11407
184.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17570
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17455
20.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
67252
78.7 IPS |
|
|
Object Detection (SP)
|
100% |
6317
501.1 IPS |
|
|
Object Detection (HP)
|
100% |
6150
487.8 IPS |
|
|
Object Detection (Q)
|
88% |
13430
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
15213
180.8 IPS |
|
|
Face Detection (HP)
|
100% |
15413
183.1 IPS |
|
|
Face Detection (Q)
|
100% |
36048
428.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18481
142.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18810
144.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
43940
341.9 IPS |
|
|
Style Transfer (SP)
|
100% |
44249
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
43625
56.1 IPS |
|
|
Style Transfer (Q)
|
98% |
150930
194.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8739
322.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8770
323.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25120
930.3 IPS |
|
|
Text Classification (SP)
|
100% |
4105
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4236
5.65 KIPS |
|
|
Text Classification (Q)
|
92% |
4757
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5518
95.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5485
94.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5672
97.7 IPS |