| User | SimonSu63 |
| Upload Date | December 11 2025 07:22 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO |
| Power Plan | Razer Cortex Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2994
556.8 IPS |
|
|
Image Classification (HP)
|
100% |
645
120.0 IPS |
|
|
Image Classification (Q)
|
99% |
7421
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1997
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
930
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8185
133.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4924
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
4169
4.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
19983
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
2546
201.9 IPS |
|
|
Object Detection (HP)
|
100% |
803
63.7 IPS |
|
|
Object Detection (Q)
|
86% |
7495
602.4 IPS |
|
|
Face Detection (SP)
|
100% |
6661
79.1 IPS |
|
|
Face Detection (HP)
|
100% |
1888
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
9208
109.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6373
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2502
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
14965
119.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12810
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10346
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26630
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2279
84.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1977
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5541
205.2 IPS |
|
|
Text Classification (SP)
|
100% |
2074
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1008
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1791
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2753
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1068
18.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4411
88.6 IPS |