| Upload Date | November 07 2025 06:18 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% |
6681
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
7008
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
17956
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9138
148.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9537
154.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
26326
426.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27956
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
27945
32.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
111611
130.7 IPS |
|
|
Object Detection (SP)
|
100% |
7352
583.1 IPS |
|
|
Object Detection (HP)
|
100% |
7807
619.3 IPS |
|
|
Object Detection (Q)
|
88% |
20583
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
16333
194.1 IPS |
|
|
Face Detection (HP)
|
100% |
17677
210.0 IPS |
|
|
Face Detection (Q)
|
100% |
50782
603.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21228
163.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21179
163.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
60869
473.7 IPS |
|
|
Style Transfer (SP)
|
100% |
73532
94.5 IPS |
|
|
Style Transfer (HP)
|
100% |
73997
95.1 IPS |
|
|
Style Transfer (Q)
|
98% |
266874
344.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14132
521.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14194
524.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38110
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
4851
6.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4653
6.21 KIPS |
|
|
Text Classification (Q)
|
92% |
5890
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
8578
147.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8461
145.7 IPS |
|
|
Machine Translation (Q)
|
100% |
8666
149.3 IPS |