| User | MrCrispr |
| Upload Date | March 18 2026 01:49 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% |
3816
709.6 IPS |
|
|
Image Classification (HP)
|
100% |
3796
706.0 IPS |
|
|
Image Classification (Q)
|
100% |
5568
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4673
75.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4616
74.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6770
110.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7064
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
7066
8.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
14981
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
3828
303.7 IPS |
|
|
Object Detection (HP)
|
100% |
3871
307.0 IPS |
|
|
Object Detection (Q)
|
87% |
5786
464.0 IPS |
|
|
Face Detection (SP)
|
100% |
11808
140.3 IPS |
|
|
Face Detection (HP)
|
100% |
11899
141.4 IPS |
|
|
Face Detection (Q)
|
97% |
16489
196.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9393
72.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9562
73.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
16471
129.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21733
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21804
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
42639
55.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4609
170.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4656
171.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8563
317.2 IPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
3327
4.44 KIPS |
|
|
Text Classification (Q)
|
91% |
1226
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5642
97.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5675
97.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5555
95.7 IPS |