| User | MrCrispr |
| Upload Date | March 18 2026 01:52 AM |
| Views | 26 |
| 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% |
3849
715.8 IPS |
|
|
Image Classification (HP)
|
100% |
3837
713.5 IPS |
|
|
Image Classification (Q)
|
100% |
5549
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4659
75.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4663
75.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6806
110.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7000
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
7092
8.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
14937
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
3872
307.1 IPS |
|
|
Object Detection (HP)
|
100% |
3871
307.1 IPS |
|
|
Object Detection (Q)
|
87% |
5780
463.6 IPS |
|
|
Face Detection (SP)
|
100% |
11840
140.7 IPS |
|
|
Face Detection (HP)
|
100% |
11734
139.4 IPS |
|
|
Face Detection (Q)
|
97% |
16419
195.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9599
74.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9523
73.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
16446
129.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21952
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21940
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
42494
54.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4595
169.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4650
171.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8588
318.1 IPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (Q)
|
91% |
1214
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5637
97.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5655
97.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5575
96.0 IPS |