| Upload Date | November 25 2025 07:46 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850 AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B850 AORUS ELITE WIFI7 ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8978
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
9057
1.68 KIPS |
|
|
Image Classification (Q)
|
100% |
21565
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10085
163.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10039
162.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26103
423.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18222
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18227
21.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
72270
84.6 IPS |
|
|
Object Detection (SP)
|
100% |
9392
745.0 IPS |
|
|
Object Detection (HP)
|
100% |
9409
746.4 IPS |
|
|
Object Detection (Q)
|
88% |
23406
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
29385
349.2 IPS |
|
|
Face Detection (HP)
|
100% |
29335
348.6 IPS |
|
|
Face Detection (Q)
|
100% |
58898
699.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
24706
190.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24754
190.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
65575
510.3 IPS |
|
|
Style Transfer (SP)
|
100% |
52040
66.9 IPS |
|
|
Style Transfer (HP)
|
100% |
52085
67.0 IPS |
|
|
Style Transfer (Q)
|
98% |
182173
234.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11367
419.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11361
419.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32911
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
6613
8.83 KIPS |
|
|
Text Classification (HP)
|
100% |
6665
8.90 KIPS |
|
|
Text Classification (Q)
|
92% |
8832
11.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
12408
213.7 IPS |
|
|
Machine Translation (HP)
|
100% |
12404
213.7 IPS |
|
|
Machine Translation (Q)
|
100% |
14756
254.2 IPS |