| Upload Date | November 02 2025 10:25 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850 AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. B850 AI TOP |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6818
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
6816
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
17975
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9138
148.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9527
154.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25800
418.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27951
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
28223
32.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
112803
132.1 IPS |
|
|
Object Detection (SP)
|
100% |
7961
631.4 IPS |
|
|
Object Detection (HP)
|
100% |
8262
655.3 IPS |
|
|
Object Detection (Q)
|
88% |
20292
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
21173
251.6 IPS |
|
|
Face Detection (HP)
|
100% |
18536
220.2 IPS |
|
|
Face Detection (Q)
|
100% |
52350
622.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21572
166.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22732
175.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
64243
499.9 IPS |
|
|
Style Transfer (SP)
|
100% |
74717
96.0 IPS |
|
|
Style Transfer (HP)
|
100% |
74886
96.3 IPS |
|
|
Style Transfer (Q)
|
98% |
264071
340.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14290
527.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14235
525.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38235
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4758
6.35 KIPS |
|
|
Text Classification (HP)
|
100% |
4946
6.60 KIPS |
|
|
Text Classification (Q)
|
92% |
5716
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
8428
145.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8276
142.6 IPS |
|
|
Machine Translation (Q)
|
100% |
9509
163.8 IPS |