| User | Andy_1981 |
| Upload Date | February 13 2026 05:50 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850M FORCE WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B850M FORCE WIFI6E |
| Power Plan | Ausbalanciert |
| 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% |
9309
1.73 KIPS |
|
|
Image Classification (HP)
|
100% |
9228
1.72 KIPS |
|
|
Image Classification (Q)
|
100% |
21819
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10289
166.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10200
165.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27154
440.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18713
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18791
21.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
73470
86.0 IPS |
|
|
Object Detection (SP)
|
100% |
9585
760.3 IPS |
|
|
Object Detection (HP)
|
100% |
9614
762.5 IPS |
|
|
Object Detection (Q)
|
88% |
23666
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
29911
355.4 IPS |
|
|
Face Detection (HP)
|
100% |
29756
353.6 IPS |
|
|
Face Detection (Q)
|
100% |
60338
716.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
24878
191.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24861
191.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
66260
515.6 IPS |
|
|
Style Transfer (SP)
|
100% |
51969
66.8 IPS |
|
|
Style Transfer (HP)
|
100% |
50898
65.4 IPS |
|
|
Style Transfer (Q)
|
98% |
180554
232.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11444
422.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11624
429.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33582
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
6797
9.07 KIPS |
|
|
Text Classification (HP)
|
100% |
6758
9.02 KIPS |
|
|
Text Classification (Q)
|
92% |
9049
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
12264
211.3 IPS |
|
|
Machine Translation (HP)
|
100% |
12377
213.2 IPS |
|
|
Machine Translation (Q)
|
100% |
14968
257.8 IPS |