| User | MrCrispr |
| Upload Date | February 24 2025 03:33 PM |
| Views | 24 |
| 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% |
4011
745.9 IPS |
|
|
Image Classification (HP)
|
100% |
3922
729.5 IPS |
|
|
Image Classification (Q)
|
100% |
5540
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3223
52.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2992
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5476
89.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7551
8.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
7593
8.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
15220
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3795
301.0 IPS |
|
|
Object Detection (HP)
|
100% |
3828
303.6 IPS |
|
|
Object Detection (Q)
|
87% |
5632
451.7 IPS |
|
|
Face Detection (SP)
|
100% |
12548
149.1 IPS |
|
|
Face Detection (HP)
|
100% |
12591
149.6 IPS |
|
|
Face Detection (Q)
|
97% |
16541
197.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9947
76.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
9921
76.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
16507
130.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22444
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22533
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
42988
55.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4650
171.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4704
173.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8479
314.1 IPS |
|
|
Text Classification (SP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1710
2.28 KIPS |
|
|
Text Classification (Q)
|
91% |
1349
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4681
80.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4669
80.4 IPS |
|
|
Machine Translation (Q)
|
90% |
2659
46.2 IPS |