| Upload Date | December 04 2025 12:47 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 EAGLE WIFI6 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 EAGLE WIFI6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2587
481.2 IPS |
|
|
Image Classification (HP)
|
100% |
613
114.0 IPS |
|
|
Image Classification (Q)
|
96% |
4777
892.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
6461
105.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5703
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
4609
5.38 IPS |
|
|
Pose Estimation (Q)
|
86% |
12653
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
3022
239.7 IPS |
|
|
Object Detection (HP)
|
100% |
858
68.1 IPS |
|
|
Object Detection (Q)
|
58% |
3702
404.5 IPS |
|
|
Face Detection (SP)
|
100% |
4943
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
1711
20.3 IPS |
|
|
Face Detection (Q)
|
96% |
7700
91.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7492
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2192
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12013
95.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14457
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11852
15.2 IPS |
|
|
Style Transfer (Q)
|
87% |
13658
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3108
114.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2546
94.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4787
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
2204
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1600
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2357
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
920
15.8 IPS |
|
|
Machine Translation (Q)
|
68% |
3286
63.5 IPS |