User | domdtxdissar |
Upload Date | September 19 2024 08:32 PM |
Views | 4 |
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% |
5446
1.01 KIPS |
|
Image Classification (HP)
|
100% |
5520
1.03 KIPS |
|
Image Classification (Q)
|
100% |
11606
2.16 KIPS |
|
Image Segmentation (SP)
|
100% |
5477
88.8 IPS |
|
Image Segmentation (HP)
|
100% |
5512
89.4 IPS |
|
Image Segmentation (Q)
|
99% |
11377
184.4 IPS |
|
Pose Estimation (SP)
|
100% |
17470
20.4 IPS |
|
Pose Estimation (HP)
|
100% |
17486
20.4 IPS |
|
Pose Estimation (Q)
|
98% |
66694
78.1 IPS |
|
Object Detection (SP)
|
100% |
6109
484.6 IPS |
|
Object Detection (HP)
|
100% |
6130
486.2 IPS |
|
Object Detection (Q)
|
88% |
13901
1.11 KIPS |
|
Face Detection (SP)
|
100% |
15115
179.6 IPS |
|
Face Detection (HP)
|
100% |
16301
193.7 IPS |
|
Face Detection (Q)
|
100% |
37184
441.8 IPS |
|
Depth Estimation (SP)
|
100% |
18540
142.8 IPS |
|
Depth Estimation (HP)
|
99% |
18423
141.9 IPS |
|
Depth Estimation (Q)
|
88% |
43622
339.4 IPS |
|
Style Transfer (SP)
|
100% |
44359
57.0 IPS |
|
Style Transfer (HP)
|
100% |
44076
56.7 IPS |
|
Style Transfer (Q)
|
98% |
153497
197.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
8665
320.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
8690
320.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
25073
928.6 IPS |
|
Text Classification (SP)
|
100% |
4158
5.55 KIPS |
|
Text Classification (HP)
|
100% |
4145
5.53 KIPS |
|
Text Classification (Q)
|
92% |
4628
6.22 KIPS |
|
Machine Translation (SP)
|
100% |
5587
96.2 IPS |
|
Machine Translation (HP)
|
100% |
5542
95.5 IPS |
|
Machine Translation (Q)
|
100% |
5731
98.7 IPS |