| User | brianrandell |
| Upload Date | March 07 2025 03:39 AM |
| Views | 10 |
| Notes | X570 Creator |
| 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 | X570 Creator |
| Motherboard | ASRock X570 Creator |
| Power Plan | High performance |
| 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 | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4090
760.5 IPS |
|
|
Image Classification (HP)
|
100% |
4073
757.5 IPS |
|
|
Image Classification (Q)
|
100% |
5754
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5965
96.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5564
90.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8912
144.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12532
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12455
14.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
26058
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
4606
365.4 IPS |
|
|
Object Detection (HP)
|
100% |
4457
353.5 IPS |
|
|
Object Detection (Q)
|
87% |
6378
511.6 IPS |
|
|
Face Detection (SP)
|
100% |
10345
122.9 IPS |
|
|
Face Detection (HP)
|
100% |
10687
127.0 IPS |
|
|
Face Detection (Q)
|
97% |
21051
251.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12330
95.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12489
96.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
21466
169.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35472
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35445
45.6 IPS |
|
|
Style Transfer (Q)
|
98% |
71700
92.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6845
252.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6850
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12272
454.6 IPS |
|
|
Text Classification (SP)
|
100% |
2971
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (Q)
|
91% |
288
387.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2901
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2793
48.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2639
45.5 IPS |