| Upload Date | February 21 2026 09:42 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Power Plan | Balanced |
| 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% |
2868
533.3 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.5 IPS |
|
|
Image Classification (Q)
|
96% |
4671
872.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1793
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
848
13.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
5961
97.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5188
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4344
5.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
11484
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
808
64.1 IPS |
|
|
Object Detection (Q)
|
58% |
3461
378.2 IPS |
|
|
Face Detection (SP)
|
100% |
7425
88.2 IPS |
|
|
Face Detection (HP)
|
100% |
1780
21.1 IPS |
|
|
Face Detection (Q)
|
96% |
8630
102.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6854
52.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2213
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11450
91.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13027
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10454
13.4 IPS |
|
|
Style Transfer (Q)
|
87% |
17291
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2419
89.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1999
73.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4224
156.5 IPS |
|
|
Text Classification (SP)
|
100% |
1903
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
923
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1339
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2871
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (Q)
|
68% |
3303
63.8 IPS |