| User | GyBHard |
| Upload Date | August 10 2025 07:30 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 1300X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF B450-PLUS GAMING |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 1300X |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
816
151.8 IPS |
|
|
Image Classification (HP)
|
100% |
272
50.6 IPS |
|
|
Image Classification (Q)
|
96% |
770
143.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
392
6.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (Q)
|
97% |
794
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1473
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1252
1.46 IPS |
|
|
Pose Estimation (Q)
|
86% |
1429
1.69 IPS |
|
|
Object Detection (SP)
|
100% |
769
61.0 IPS |
|
|
Object Detection (HP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (Q)
|
58% |
519
56.7 IPS |
|
|
Face Detection (SP)
|
100% |
1990
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
726
8.63 IPS |
|
|
Face Detection (Q)
|
96% |
1934
23.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1999
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
918
7.07 IPS |
|
|
Depth Estimation (Q)
|
78% |
1838
14.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3906
5.02 IPS |
|
|
Style Transfer (HP)
|
100% |
3258
4.19 IPS |
|
|
Style Transfer (Q)
|
87% |
3501
4.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
730
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
750
27.8 IPS |
|
|
Text Classification (SP)
|
100% |
631
842.8 IPS |
|
|
Text Classification (HP)
|
100% |
346
462.3 IPS |
|
|
Text Classification (Q)
|
97% |
254
340.9 IPS |
|
|
Machine Translation (SP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (Q)
|
68% |
837
16.2 IPS |