| User | thecrownguy |
| Upload Date | February 09 2025 10:57 PM |
| Views | 10 |
| 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-E GAMING |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4071
757.2 IPS |
|
|
Image Classification (HP)
|
100% |
3809
708.3 IPS |
|
|
Image Classification (Q)
|
100% |
6156
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5502
89.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5540
89.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9626
156.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11083
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11527
13.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
26353
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
4275
339.1 IPS |
|
|
Object Detection (HP)
|
100% |
4174
331.1 IPS |
|
|
Object Detection (Q)
|
87% |
6937
556.3 IPS |
|
|
Face Detection (SP)
|
100% |
10234
121.6 IPS |
|
|
Face Detection (HP)
|
100% |
10179
120.9 IPS |
|
|
Face Detection (Q)
|
97% |
22372
266.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11786
90.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11161
86.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
23379
184.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33986
43.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33399
42.9 IPS |
|
|
Style Transfer (Q)
|
98% |
72932
94.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6481
239.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6413
236.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12716
471.0 IPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (Q)
|
91% |
292
392.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2925
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2878
49.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2897
49.9 IPS |