| Upload Date | December 08 2025 05:50 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600GT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M DS3H WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B450M DS3H WIFI-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600GT |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2471
459.4 IPS |
|
|
Image Classification (HP)
|
100% |
557
103.7 IPS |
|
|
Image Classification (Q)
|
96% |
4160
776.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1200
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
766
12.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
2409
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4931
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3915
4.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
10013
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
2194
174.0 IPS |
|
|
Object Detection (HP)
|
100% |
688
54.6 IPS |
|
|
Object Detection (Q)
|
58% |
2851
311.5 IPS |
|
|
Face Detection (SP)
|
100% |
3310
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
1316
15.6 IPS |
|
|
Face Detection (Q)
|
96% |
6780
80.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6430
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2075
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
8923
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11530
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9502
12.2 IPS |
|
|
Style Transfer (Q)
|
87% |
13243
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2121
78.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1853
68.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2558
94.8 IPS |
|
|
Text Classification (SP)
|
100% |
1462
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
753
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1553
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1948
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2459
47.5 IPS |