| User | llluuucccaaaa |
| Upload Date | April 12 2025 09:27 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING |
| Power Plan | Prestazioni elevate |
| 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% |
4004
744.6 IPS |
|
|
Image Classification (HP)
|
100% |
3921
729.1 IPS |
|
|
Image Classification (Q)
|
100% |
5644
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4792
77.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4806
77.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6847
111.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7641
8.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
7636
8.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
15138
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
3917
310.7 IPS |
|
|
Object Detection (HP)
|
100% |
3928
311.6 IPS |
|
|
Object Detection (Q)
|
87% |
5882
471.8 IPS |
|
|
Face Detection (SP)
|
100% |
12148
144.3 IPS |
|
|
Face Detection (HP)
|
100% |
12365
146.9 IPS |
|
|
Face Detection (Q)
|
97% |
17179
204.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9918
76.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9984
76.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
16682
131.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22469
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22501
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
43041
55.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4639
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4678
172.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8652
320.5 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3396
4.53 KIPS |
|
|
Text Classification (Q)
|
91% |
1188
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5644
97.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5701
98.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5652
97.4 IPS |