| User | Natrep |
| Upload Date | July 05 2025 10:07 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-F GAMING |
| Power Plan | Hg prestanda |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4212
783.3 IPS |
|
|
Image Classification (HP)
|
100% |
3944
733.5 IPS |
|
|
Image Classification (Q)
|
100% |
6283
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5498
89.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5773
93.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10036
163.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11568
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11580
13.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
26773
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
4560
361.7 IPS |
|
|
Object Detection (HP)
|
100% |
4518
358.4 IPS |
|
|
Object Detection (Q)
|
87% |
7390
592.7 IPS |
|
|
Face Detection (SP)
|
100% |
9471
112.5 IPS |
|
|
Face Detection (HP)
|
100% |
8893
105.7 IPS |
|
|
Face Detection (Q)
|
97% |
21102
251.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11198
86.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11250
86.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
22933
180.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32744
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32775
42.1 IPS |
|
|
Style Transfer (Q)
|
98% |
75001
96.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6459
238.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6360
234.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12763
472.8 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (Q)
|
91% |
325
436.3 IPS |
|
|
Machine Translation (SP)
|
100% |
3115
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2759
47.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2800
48.2 IPS |