| User | MrCrispr |
| Upload Date | March 20 2026 06:57 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII DARK HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3997
743.3 IPS |
|
|
Image Classification (HP)
|
100% |
4025
748.6 IPS |
|
|
Image Classification (Q)
|
100% |
5677
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4825
78.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4789
77.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6954
113.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7258
8.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
7312
8.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
15487
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3988
316.3 IPS |
|
|
Object Detection (HP)
|
100% |
4050
321.3 IPS |
|
|
Object Detection (Q)
|
87% |
5914
474.3 IPS |
|
|
Face Detection (SP)
|
100% |
12149
144.4 IPS |
|
|
Face Detection (HP)
|
100% |
12172
144.6 IPS |
|
|
Face Detection (Q)
|
97% |
16859
201.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9911
76.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9923
76.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
16900
133.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22662
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22586
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
43882
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4757
175.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4791
176.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8757
324.4 IPS |
|
|
Text Classification (SP)
|
100% |
3301
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3314
4.42 KIPS |
|
|
Text Classification (Q)
|
91% |
1261
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
5807
100.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5755
99.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5639
97.1 IPS |