User | MrCrispr |
Upload Date | April 01 2025 12:07 PM |
Views | 2 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 9950X 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 9 9950X 16-Core Processor |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
Base Frequency | 4.30 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
7250
1.35 KIPS |
|
Image Classification (HP)
|
100% |
6754
1.26 KIPS |
|
Image Classification (Q)
|
100% |
14995
2.79 KIPS |
|
Image Segmentation (SP)
|
100% |
8093
131.2 IPS |
|
Image Segmentation (HP)
|
100% |
7918
128.4 IPS |
|
Image Segmentation (Q)
|
99% |
17014
275.8 IPS |
|
Pose Estimation (SP)
|
100% |
30751
35.9 IPS |
|
Pose Estimation (HP)
|
100% |
30691
35.8 IPS |
|
Pose Estimation (Q)
|
98% |
123778
144.9 IPS |
|
Object Detection (SP)
|
100% |
8194
650.0 IPS |
|
Object Detection (HP)
|
100% |
8276
656.4 IPS |
|
Object Detection (Q)
|
88% |
17890
1.43 KIPS |
|
Face Detection (SP)
|
100% |
17552
208.6 IPS |
|
Face Detection (HP)
|
100% |
17710
210.4 IPS |
|
Face Detection (Q)
|
100% |
43565
517.6 IPS |
|
Depth Estimation (SP)
|
100% |
23024
177.4 IPS |
|
Depth Estimation (HP)
|
99% |
22408
172.6 IPS |
|
Depth Estimation (Q)
|
88% |
65638
510.7 IPS |
|
Style Transfer (SP)
|
100% |
79423
102.1 IPS |
|
Style Transfer (HP)
|
100% |
80506
103.5 IPS |
|
Style Transfer (Q)
|
98% |
283966
366.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
13984
516.4 IPS |
|
Image Super-Resolution (HP)
|
100% |
14350
529.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
37620
1.39 KIPS |
|
Text Classification (SP)
|
100% |
4751
6.34 KIPS |
|
Text Classification (HP)
|
100% |
4840
6.46 KIPS |
|
Text Classification (Q)
|
92% |
5956
8.00 KIPS |
|
Machine Translation (SP)
|
100% |
6859
118.2 IPS |
|
Machine Translation (HP)
|
100% |
6865
118.2 IPS |
|
Machine Translation (Q)
|
100% |
6562
113.0 IPS |