| Upload Date | November 07 2025 07:58 PM |
| Views | 1 |
| 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% |
6889
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
7348
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
17281
3.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9194
149.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9107
147.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
26252
425.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
28233
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
28314
33.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
113729
133.1 IPS |
|
|
Object Detection (SP)
|
100% |
8334
661.1 IPS |
|
|
Object Detection (HP)
|
100% |
8374
664.2 IPS |
|
|
Object Detection (Q)
|
88% |
19860
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
17863
212.3 IPS |
|
|
Face Detection (HP)
|
100% |
19761
234.8 IPS |
|
|
Face Detection (Q)
|
100% |
53683
637.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21223
163.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22734
175.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
64211
499.7 IPS |
|
|
Style Transfer (SP)
|
100% |
74869
96.2 IPS |
|
|
Style Transfer (HP)
|
100% |
75549
97.1 IPS |
|
|
Style Transfer (Q)
|
98% |
263540
339.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14229
525.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14337
529.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37730
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
4785
6.39 KIPS |
|
|
Text Classification (HP)
|
100% |
4663
6.22 KIPS |
|
|
Text Classification (Q)
|
92% |
5816
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
8822
152.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8723
150.3 IPS |
|
|
Machine Translation (Q)
|
100% |
9697
167.0 IPS |