User | IronLad84 |
Upload Date | September 21 2025 03:37 PM |
Views | 4 |
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% |
7863
1.46 KIPS |
|
Image Classification (HP)
|
100% |
8009
1.49 KIPS |
|
Image Classification (Q)
|
100% |
18091
3.36 KIPS |
|
Image Segmentation (SP)
|
100% |
9158
148.5 IPS |
|
Image Segmentation (HP)
|
100% |
9062
146.9 IPS |
|
Image Segmentation (Q)
|
99% |
25557
414.3 IPS |
|
Pose Estimation (SP)
|
100% |
23877
27.9 IPS |
|
Pose Estimation (HP)
|
100% |
23873
27.9 IPS |
|
Pose Estimation (Q)
|
98% |
94971
111.2 IPS |
|
Object Detection (SP)
|
100% |
7878
624.9 IPS |
|
Object Detection (HP)
|
100% |
8674
688.1 IPS |
|
Object Detection (Q)
|
88% |
20512
1.64 KIPS |
|
Face Detection (SP)
|
100% |
17096
203.1 IPS |
|
Face Detection (HP)
|
100% |
17455
207.4 IPS |
|
Face Detection (Q)
|
100% |
55106
654.8 IPS |
|
Depth Estimation (SP)
|
100% |
22174
170.8 IPS |
|
Depth Estimation (HP)
|
99% |
22011
169.6 IPS |
|
Depth Estimation (Q)
|
88% |
61482
478.4 IPS |
|
Style Transfer (SP)
|
100% |
67890
87.3 IPS |
|
Style Transfer (HP)
|
100% |
67964
87.4 IPS |
|
Style Transfer (Q)
|
98% |
228776
295.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
12355
456.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
12442
459.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
36076
1.34 KIPS |
|
Text Classification (SP)
|
100% |
4892
6.53 KIPS |
|
Text Classification (HP)
|
100% |
4836
6.45 KIPS |
|
Text Classification (Q)
|
92% |
6108
8.21 KIPS |
|
Machine Translation (SP)
|
100% |
8572
147.7 IPS |
|
Machine Translation (HP)
|
100% |
8800
151.6 IPS |
|
Machine Translation (Q)
|
100% |
10300
177.4 IPS |