User | domdtxdissar |
Upload Date | September 19 2024 08:26 PM |
Views | 2 |
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% |
5596
1.04 KIPS |
|
Image Classification (HP)
|
100% |
5621
1.05 KIPS |
|
Image Classification (Q)
|
100% |
11352
2.11 KIPS |
|
Image Segmentation (SP)
|
100% |
5507
89.3 IPS |
|
Image Segmentation (HP)
|
100% |
5431
88.0 IPS |
|
Image Segmentation (Q)
|
99% |
11266
182.6 IPS |
|
Pose Estimation (SP)
|
100% |
17473
20.4 IPS |
|
Pose Estimation (HP)
|
100% |
17575
20.5 IPS |
|
Pose Estimation (Q)
|
98% |
66707
78.1 IPS |
|
Object Detection (SP)
|
100% |
6229
494.1 IPS |
|
Object Detection (HP)
|
100% |
5960
472.7 IPS |
|
Object Detection (Q)
|
88% |
13303
1.07 KIPS |
|
Face Detection (SP)
|
100% |
16239
193.0 IPS |
|
Face Detection (HP)
|
100% |
16270
193.3 IPS |
|
Face Detection (Q)
|
100% |
36434
432.9 IPS |
|
Depth Estimation (SP)
|
100% |
18342
141.3 IPS |
|
Depth Estimation (HP)
|
99% |
18731
144.3 IPS |
|
Depth Estimation (Q)
|
88% |
43673
339.8 IPS |
|
Style Transfer (SP)
|
100% |
44450
57.1 IPS |
|
Style Transfer (HP)
|
100% |
44507
57.2 IPS |
|
Style Transfer (Q)
|
98% |
150535
194.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
8792
324.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
8728
322.3 IPS |
|
Image Super-Resolution (Q)
|
99% |
24982
925.2 IPS |
|
Text Classification (SP)
|
100% |
3969
5.30 KIPS |
|
Text Classification (HP)
|
100% |
4126
5.51 KIPS |
|
Text Classification (Q)
|
92% |
4706
6.32 KIPS |
|
Machine Translation (SP)
|
100% |
5659
97.5 IPS |
|
Machine Translation (HP)
|
100% |
5527
95.2 IPS |
|
Machine Translation (Q)
|
100% |
5810
100.1 IPS |