| Upload Date | February 06 2026 06:24 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Power Plan | Performances leves |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8544
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
8534
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
20544
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9660
156.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9298
150.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25506
413.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17087
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17108
20.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
67441
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
8747
693.8 IPS |
|
|
Object Detection (HP)
|
100% |
8814
699.2 IPS |
|
|
Object Detection (Q)
|
88% |
22041
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
27394
325.5 IPS |
|
|
Face Detection (HP)
|
100% |
27508
326.8 IPS |
|
|
Face Detection (Q)
|
100% |
55375
658.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21910
168.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22088
170.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
62037
482.8 IPS |
|
|
Style Transfer (SP)
|
100% |
47968
61.7 IPS |
|
|
Style Transfer (HP)
|
100% |
47954
61.6 IPS |
|
|
Style Transfer (Q)
|
98% |
166928
215.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10367
382.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10754
397.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31663
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
6347
8.47 KIPS |
|
|
Text Classification (HP)
|
100% |
6411
8.56 KIPS |
|
|
Text Classification (Q)
|
92% |
8846
11.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
11514
198.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11209
193.1 IPS |
|
|
Machine Translation (Q)
|
100% |
14306
246.4 IPS |