| User | MrCrispr |
| Upload Date | March 20 2026 07:01 AM |
| Views | 11 |
| 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% |
3978
739.9 IPS |
|
|
Image Classification (HP)
|
100% |
3976
739.5 IPS |
|
|
Image Classification (Q)
|
100% |
5651
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4823
78.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4783
77.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6924
112.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7268
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
7279
8.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
15497
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
4017
318.7 IPS |
|
|
Object Detection (HP)
|
100% |
4021
319.0 IPS |
|
|
Object Detection (Q)
|
87% |
5906
473.7 IPS |
|
|
Face Detection (SP)
|
100% |
12123
144.0 IPS |
|
|
Face Detection (HP)
|
100% |
12217
145.2 IPS |
|
|
Face Detection (Q)
|
97% |
17129
204.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9847
75.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9850
75.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
16889
133.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22655
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
22630
29.1 IPS |
|
|
Style Transfer (Q)
|
98% |
43848
56.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4779
176.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4803
177.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8762
324.6 IPS |
|
|
Text Classification (SP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3302
4.41 KIPS |
|
|
Text Classification (Q)
|
91% |
1247
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5740
98.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5680
97.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5612
96.7 IPS |