| User | MiSA |
| Upload Date | October 20 2025 06:54 PM |
| Views | 10 |
| 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. B650I AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650I AX |
| Power Plan | Kiegyenslyozott |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3501
651.1 IPS |
|
|
Image Classification (HP)
|
100% |
789
146.8 IPS |
|
|
Image Classification (Q)
|
99% |
7734
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1693
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1049
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8535
138.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6382
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
5360
6.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
22197
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
3376
267.8 IPS |
|
|
Object Detection (HP)
|
100% |
986
78.2 IPS |
|
|
Object Detection (Q)
|
86% |
8202
659.2 IPS |
|
|
Face Detection (SP)
|
100% |
6880
81.7 IPS |
|
|
Face Detection (HP)
|
100% |
2070
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
10094
120.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8371
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2763
21.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
16428
131.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15986
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12885
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23857
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3069
113.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2641
97.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5521
204.4 IPS |
|
|
Text Classification (SP)
|
100% |
2199
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1132
1.51 KIPS |
|
|
Text Classification (Q)
|
97% |
1993
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3243
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5216
104.8 IPS |