User | neotrope |
Upload Date | December 23 2024 07:45 PM |
Views | 10 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 7 9800X3D 8-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE |
Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 7 9800X3D 8-Core Processor |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
Base Frequency | 4.70 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 128.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
8555
1.59 KIPS |
|
Image Classification (HP)
|
100% |
8527
1.59 KIPS |
|
Image Classification (Q)
|
100% |
18118
3.37 KIPS |
|
Image Segmentation (SP)
|
100% |
8984
145.6 IPS |
|
Image Segmentation (HP)
|
100% |
8806
142.7 IPS |
|
Image Segmentation (Q)
|
99% |
20787
337.0 IPS |
|
Pose Estimation (SP)
|
100% |
16447
19.2 IPS |
|
Pose Estimation (HP)
|
100% |
16722
19.5 IPS |
|
Pose Estimation (Q)
|
98% |
67800
79.4 IPS |
|
Object Detection (SP)
|
100% |
8747
693.8 IPS |
|
Object Detection (HP)
|
100% |
8529
676.6 IPS |
|
Object Detection (Q)
|
88% |
20160
1.62 KIPS |
|
Face Detection (SP)
|
100% |
26184
311.1 IPS |
|
Face Detection (HP)
|
100% |
26165
310.9 IPS |
|
Face Detection (Q)
|
100% |
48244
573.2 IPS |
|
Depth Estimation (SP)
|
100% |
21974
169.3 IPS |
|
Depth Estimation (HP)
|
99% |
22905
176.5 IPS |
|
Depth Estimation (Q)
|
88% |
59457
462.6 IPS |
|
Style Transfer (SP)
|
100% |
47800
61.4 IPS |
|
Style Transfer (HP)
|
100% |
49308
63.4 IPS |
|
Style Transfer (Q)
|
98% |
169886
219.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
10580
390.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
10794
398.6 IPS |
|
Image Super-Resolution (Q)
|
99% |
30950
1.15 KIPS |
|
Text Classification (SP)
|
100% |
6640
8.86 KIPS |
|
Text Classification (HP)
|
100% |
6687
8.92 KIPS |
|
Text Classification (Q)
|
92% |
8901
12.0 KIPS |
|
Machine Translation (SP)
|
100% |
8808
151.7 IPS |
|
Machine Translation (HP)
|
100% |
8891
153.1 IPS |
|
Machine Translation (Q)
|
100% |
10074
173.5 IPS |