| User | MrCrispr |
| Upload Date | March 20 2026 06:54 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% |
3712
690.3 IPS |
|
|
Image Classification (HP)
|
100% |
3619
673.0 IPS |
|
|
Image Classification (Q)
|
100% |
5648
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4827
78.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4763
77.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6913
112.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7275
8.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
7296
8.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
15485
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
4031
319.8 IPS |
|
|
Object Detection (HP)
|
100% |
4031
319.7 IPS |
|
|
Object Detection (Q)
|
87% |
5917
474.5 IPS |
|
|
Face Detection (SP)
|
100% |
11940
141.9 IPS |
|
|
Face Detection (HP)
|
100% |
12005
142.6 IPS |
|
|
Face Detection (Q)
|
97% |
16918
201.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9829
75.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9828
75.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
16892
133.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22689
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22691
29.2 IPS |
|
|
Style Transfer (Q)
|
98% |
43871
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4775
176.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4787
176.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8770
324.8 IPS |
|
|
Text Classification (SP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
3310
4.42 KIPS |
|
|
Text Classification (Q)
|
91% |
1177
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5709
98.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5619
96.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5689
98.0 IPS |