| User | Hege |
| Upload Date | January 17 2025 11:30 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650E PG Riptide WiFi |
| Motherboard | ASRock B650E PG Riptide WiFi |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4571
850.0 IPS |
|
|
Image Classification (HP)
|
100% |
4528
842.1 IPS |
|
|
Image Classification (Q)
|
100% |
10776
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4921
79.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4970
80.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
12441
201.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8024
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
7999
9.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
32084
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4398
348.9 IPS |
|
|
Object Detection (HP)
|
100% |
4458
353.6 IPS |
|
|
Object Detection (Q)
|
88% |
11525
923.9 IPS |
|
|
Face Detection (SP)
|
100% |
14230
169.1 IPS |
|
|
Face Detection (HP)
|
100% |
14445
171.6 IPS |
|
|
Face Detection (Q)
|
100% |
30761
365.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11413
87.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10818
83.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
32579
253.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22709
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22757
29.3 IPS |
|
|
Style Transfer (Q)
|
98% |
83408
107.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5102
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3574
132.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11373
421.2 IPS |
|
|
Text Classification (SP)
|
100% |
3149
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (Q)
|
92% |
6103
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
6156
106.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6036
104.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7718
133.0 IPS |