User | domdtxdissar |
Upload Date | September 19 2024 08:18 PM |
Views | 3 |
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% |
5536
1.03 KIPS |
|
Image Classification (HP)
|
100% |
5468
1.02 KIPS |
|
Image Classification (Q)
|
100% |
11755
2.19 KIPS |
|
Image Segmentation (SP)
|
100% |
5319
86.2 IPS |
|
Image Segmentation (HP)
|
100% |
5188
84.1 IPS |
|
Image Segmentation (Q)
|
99% |
11722
190.0 IPS |
|
Pose Estimation (SP)
|
100% |
17674
20.6 IPS |
|
Pose Estimation (HP)
|
100% |
17236
20.1 IPS |
|
Pose Estimation (Q)
|
98% |
66846
78.3 IPS |
|
Object Detection (SP)
|
100% |
5920
469.6 IPS |
|
Object Detection (HP)
|
100% |
6034
478.7 IPS |
|
Object Detection (Q)
|
88% |
13428
1.08 KIPS |
|
Face Detection (SP)
|
100% |
14767
175.5 IPS |
|
Face Detection (HP)
|
100% |
15239
181.1 IPS |
|
Face Detection (Q)
|
100% |
37643
447.3 IPS |
|
Depth Estimation (SP)
|
100% |
18081
139.3 IPS |
|
Depth Estimation (HP)
|
99% |
17930
138.1 IPS |
|
Depth Estimation (Q)
|
88% |
43198
336.1 IPS |
|
Style Transfer (SP)
|
100% |
43433
55.8 IPS |
|
Style Transfer (HP)
|
100% |
41777
53.7 IPS |
|
Style Transfer (Q)
|
98% |
143438
185.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
8770
323.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
8808
325.2 IPS |
|
Image Super-Resolution (Q)
|
99% |
24527
908.3 IPS |
|
Text Classification (SP)
|
100% |
4191
5.59 KIPS |
|
Text Classification (HP)
|
100% |
4290
5.73 KIPS |
|
Text Classification (Q)
|
92% |
4848
6.51 KIPS |
|
Machine Translation (SP)
|
100% |
5681
97.9 IPS |
|
Machine Translation (HP)
|
100% |
5506
94.9 IPS |
|
Machine Translation (Q)
|
100% |
5162
88.9 IPS |