| User | IronLad84 |
| Upload Date | February 27 2025 12:15 AM |
| Views | 7 |
| 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 12-Core Processor |
| 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% |
7884
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
7876
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
14979
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8523
138.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8924
144.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
22409
363.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24774
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
25068
29.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
98712
115.6 IPS |
|
|
Object Detection (SP)
|
100% |
8729
692.4 IPS |
|
|
Object Detection (HP)
|
100% |
8768
695.5 IPS |
|
|
Object Detection (Q)
|
88% |
18169
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
18390
218.5 IPS |
|
|
Face Detection (HP)
|
100% |
18194
216.2 IPS |
|
|
Face Detection (Q)
|
100% |
48982
582.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22114
170.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21841
168.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
60685
472.2 IPS |
|
|
Style Transfer (SP)
|
100% |
64937
83.5 IPS |
|
|
Style Transfer (HP)
|
100% |
65337
84.0 IPS |
|
|
Style Transfer (Q)
|
98% |
233339
300.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12942
477.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13345
492.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36197
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
5132
6.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5168
6.90 KIPS |
|
|
Text Classification (Q)
|
92% |
6008
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
7462
128.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7445
128.2 IPS |
|
|
Machine Translation (Q)
|
100% |
7457
128.4 IPS |