| User | MrCrispr |
| Upload Date | March 20 2026 06:37 AM |
| Views | 12 |
| 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% |
3962
736.8 IPS |
|
|
Image Classification (HP)
|
100% |
3977
739.6 IPS |
|
|
Image Classification (Q)
|
100% |
5630
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4832
78.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4794
77.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6889
112.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7263
8.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
7303
8.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
15422
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3969
314.9 IPS |
|
|
Object Detection (HP)
|
100% |
3978
315.5 IPS |
|
|
Object Detection (Q)
|
87% |
5895
472.8 IPS |
|
|
Face Detection (SP)
|
100% |
12287
146.0 IPS |
|
|
Face Detection (HP)
|
100% |
12310
146.3 IPS |
|
|
Face Detection (Q)
|
97% |
16634
198.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9650
74.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9924
76.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
16806
132.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22533
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22549
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
43725
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4742
175.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4772
176.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8742
323.8 IPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (Q)
|
91% |
1189
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5640
97.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5790
99.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5589
96.3 IPS |