User | IronLad84 |
Upload Date | September 20 2025 05:31 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% |
8096
1.51 KIPS |
|
Image Classification (HP)
|
100% |
8049
1.50 KIPS |
|
Image Classification (Q)
|
100% |
18590
3.46 KIPS |
|
Image Segmentation (SP)
|
100% |
9702
157.3 IPS |
|
Image Segmentation (HP)
|
100% |
9130
148.0 IPS |
|
Image Segmentation (Q)
|
99% |
27537
446.4 IPS |
|
Pose Estimation (SP)
|
100% |
23933
27.9 IPS |
|
Pose Estimation (HP)
|
100% |
23904
27.9 IPS |
|
Pose Estimation (Q)
|
98% |
95110
111.3 IPS |
|
Object Detection (SP)
|
100% |
8469
671.7 IPS |
|
Object Detection (HP)
|
100% |
9077
720.0 IPS |
|
Object Detection (Q)
|
88% |
21207
1.70 KIPS |
|
Face Detection (SP)
|
100% |
18317
217.6 IPS |
|
Face Detection (HP)
|
100% |
18157
215.7 IPS |
|
Face Detection (Q)
|
100% |
54703
650.0 IPS |
|
Depth Estimation (SP)
|
100% |
21701
167.2 IPS |
|
Depth Estimation (HP)
|
99% |
20912
161.1 IPS |
|
Depth Estimation (Q)
|
88% |
63306
492.6 IPS |
|
Style Transfer (SP)
|
100% |
62639
80.5 IPS |
|
Style Transfer (HP)
|
100% |
67566
86.9 IPS |
|
Style Transfer (Q)
|
98% |
223030
287.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
12472
460.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
12461
460.1 IPS |
|
Image Super-Resolution (Q)
|
99% |
34835
1.29 KIPS |
|
Text Classification (SP)
|
100% |
4813
6.42 KIPS |
|
Text Classification (HP)
|
100% |
5147
6.87 KIPS |
|
Text Classification (Q)
|
92% |
5823
7.82 KIPS |
|
Machine Translation (SP)
|
100% |
8710
150.0 IPS |
|
Machine Translation (HP)
|
100% |
8760
150.9 IPS |
|
Machine Translation (Q)
|
100% |
9870
170.0 IPS |