User | IronLad84 |
Upload Date | September 25 2025 08:04 PM |
Views | 1 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 9900X 12-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. X870 GAMING WIFI6 |
Motherboard | Gigabyte Technology Co., Ltd. X870 GAMING WIFI6 |
Power Plan | Ultimate Performance |
CPU Information | |
---|---|
Name | AMD Ryzen 9 9900X |
Topology | 1 Processor, 12 Cores, 24 Threads |
Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
Base Frequency | 4.40 GHz |
Cluster 1 | 12 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
7838
1.46 KIPS |
|
Image Classification (HP)
|
100% |
7836
1.46 KIPS |
|
Image Classification (Q)
|
100% |
18108
3.37 KIPS |
|
Image Segmentation (SP)
|
100% |
9394
152.3 IPS |
|
Image Segmentation (HP)
|
100% |
9566
155.1 IPS |
|
Image Segmentation (Q)
|
99% |
26359
427.3 IPS |
|
Pose Estimation (SP)
|
100% |
23071
26.9 IPS |
|
Pose Estimation (HP)
|
100% |
22826
26.6 IPS |
|
Pose Estimation (Q)
|
98% |
98015
114.7 IPS |
|
Object Detection (SP)
|
100% |
8630
684.5 IPS |
|
Object Detection (HP)
|
100% |
7970
632.2 IPS |
|
Object Detection (Q)
|
88% |
20061
1.61 KIPS |
|
Face Detection (SP)
|
100% |
17838
211.9 IPS |
|
Face Detection (HP)
|
100% |
17786
211.3 IPS |
|
Face Detection (Q)
|
100% |
54271
644.9 IPS |
|
Depth Estimation (SP)
|
100% |
20482
157.8 IPS |
|
Depth Estimation (HP)
|
99% |
20528
158.2 IPS |
|
Depth Estimation (Q)
|
88% |
60790
473.1 IPS |
|
Style Transfer (SP)
|
100% |
60463
77.7 IPS |
|
Style Transfer (HP)
|
100% |
64664
83.1 IPS |
|
Style Transfer (Q)
|
98% |
227147
292.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
12097
446.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
11921
440.2 IPS |
|
Image Super-Resolution (Q)
|
99% |
35424
1.31 KIPS |
|
Text Classification (SP)
|
100% |
4901
6.54 KIPS |
|
Text Classification (HP)
|
100% |
4927
6.58 KIPS |
|
Text Classification (Q)
|
92% |
6090
8.18 KIPS |
|
Machine Translation (SP)
|
100% |
8347
143.8 IPS |
|
Machine Translation (HP)
|
100% |
8506
146.5 IPS |
|
Machine Translation (Q)
|
100% |
10104
174.0 IPS |