| User | IronLad84 |
| Upload Date | March 01 2025 02:01 AM |
| Views | 9 |
| 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% |
7512
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7542
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
15228
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8839
143.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8654
140.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
22183
359.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24934
29.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25208
29.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
98676
115.5 IPS |
|
|
Object Detection (SP)
|
100% |
8169
648.0 IPS |
|
|
Object Detection (HP)
|
100% |
8488
673.2 IPS |
|
|
Object Detection (Q)
|
88% |
17795
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
18696
222.2 IPS |
|
|
Face Detection (HP)
|
100% |
18765
223.0 IPS |
|
|
Face Detection (Q)
|
100% |
45907
545.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22379
172.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22295
171.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
60179
468.3 IPS |
|
|
Style Transfer (SP)
|
100% |
65372
84.0 IPS |
|
|
Style Transfer (HP)
|
100% |
65866
84.7 IPS |
|
|
Style Transfer (Q)
|
98% |
233376
300.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13060
482.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12915
476.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35115
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
5042
6.73 KIPS |
|
|
Text Classification (HP)
|
100% |
5088
6.79 KIPS |
|
|
Text Classification (Q)
|
92% |
6006
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
7515
129.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7377
127.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7228
124.5 IPS |