User | domdtxdissar |
Upload Date | September 19 2024 07:57 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% |
5332
991.6 IPS |
|
Image Classification (HP)
|
100% |
5372
999.0 IPS |
|
Image Classification (Q)
|
100% |
11547
2.15 KIPS |
|
Image Segmentation (SP)
|
100% |
5202
84.3 IPS |
|
Image Segmentation (HP)
|
100% |
5114
82.9 IPS |
|
Image Segmentation (Q)
|
99% |
11670
189.2 IPS |
|
Pose Estimation (SP)
|
100% |
17479
20.4 IPS |
|
Pose Estimation (HP)
|
100% |
17449
20.4 IPS |
|
Pose Estimation (Q)
|
98% |
66084
77.4 IPS |
|
Object Detection (SP)
|
100% |
5858
464.7 IPS |
|
Object Detection (HP)
|
100% |
5855
464.4 IPS |
|
Object Detection (Q)
|
88% |
13266
1.06 KIPS |
|
Face Detection (SP)
|
100% |
15571
185.0 IPS |
|
Face Detection (HP)
|
100% |
15251
181.2 IPS |
|
Face Detection (Q)
|
100% |
36556
434.4 IPS |
|
Depth Estimation (SP)
|
100% |
18276
140.8 IPS |
|
Depth Estimation (HP)
|
99% |
17871
137.7 IPS |
|
Depth Estimation (Q)
|
88% |
42898
333.8 IPS |
|
Style Transfer (SP)
|
100% |
43709
56.2 IPS |
|
Style Transfer (HP)
|
100% |
41365
53.2 IPS |
|
Style Transfer (Q)
|
98% |
146839
189.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
8755
323.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
8642
319.1 IPS |
|
Image Super-Resolution (Q)
|
99% |
23855
883.5 IPS |
|
Text Classification (SP)
|
100% |
4162
5.56 KIPS |
|
Text Classification (HP)
|
100% |
4120
5.50 KIPS |
|
Text Classification (Q)
|
92% |
4733
6.36 KIPS |
|
Machine Translation (SP)
|
100% |
5697
98.1 IPS |
|
Machine Translation (HP)
|
100% |
5618
96.8 IPS |
|
Machine Translation (Q)
|
100% |
5886
101.4 IPS |