| Upload Date | February 10 2026 05:29 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450M-K |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2746
510.6 IPS |
|
|
Image Classification (HP)
|
100% |
663
123.3 IPS |
|
|
Image Classification (Q)
|
96% |
4287
800.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
890
14.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
4957
80.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4940
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
4098
4.78 IPS |
|
|
Pose Estimation (Q)
|
86% |
9698
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (Q)
|
58% |
3053
333.5 IPS |
|
|
Face Detection (SP)
|
100% |
5168
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
1729
20.5 IPS |
|
|
Face Detection (Q)
|
96% |
7621
90.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6541
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2224
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9549
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12330
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9802
12.6 IPS |
|
|
Style Transfer (Q)
|
87% |
13839
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2437
90.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2081
76.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3680
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
1839
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1469
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2771
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (Q)
|
68% |
3578
69.1 IPS |