| Upload Date | January 17 2026 12:40 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570S AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X570S AORUS MASTER |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3900
725.3 IPS |
|
|
Image Classification (HP)
|
100% |
4038
750.9 IPS |
|
|
Image Classification (Q)
|
100% |
5473
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5107
82.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5036
81.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8191
133.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9567
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9749
11.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
20486
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
3986
316.2 IPS |
|
|
Object Detection (HP)
|
100% |
3815
302.6 IPS |
|
|
Object Detection (Q)
|
87% |
6605
529.8 IPS |
|
|
Face Detection (SP)
|
100% |
8644
102.7 IPS |
|
|
Face Detection (HP)
|
100% |
8912
105.9 IPS |
|
|
Face Detection (Q)
|
97% |
18041
215.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10159
78.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10760
82.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
17866
140.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27455
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27879
35.8 IPS |
|
|
Style Transfer (Q)
|
98% |
57444
74.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5423
200.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5433
200.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10414
385.7 IPS |
|
|
Text Classification (SP)
|
100% |
2620
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2725
3.64 KIPS |
|
|
Text Classification (Q)
|
91% |
441
592.5 IPS |
|
|
Machine Translation (SP)
|
100% |
3741
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3656
63.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3566
61.4 IPS |