| Upload Date | December 14 2025 09:34 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING X AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING X AX |
| Power Plan | Balanced |
| 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% |
2972
552.7 IPS |
|
|
Image Classification (HP)
|
100% |
672
124.9 IPS |
|
|
Image Classification (Q)
|
99% |
7601
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
943
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4003
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4892
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4317
5.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
21363
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
2117
167.9 IPS |
|
|
Object Detection (HP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (Q)
|
86% |
5546
445.7 IPS |
|
|
Face Detection (SP)
|
100% |
7235
86.0 IPS |
|
|
Face Detection (HP)
|
100% |
1946
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
9685
115.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6244
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2463
19.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
15819
126.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13283
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10671
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27774
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2306
85.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1944
71.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5503
203.8 IPS |
|
|
Text Classification (SP)
|
100% |
2021
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1035
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
523
700.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2920
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1136
19.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4328
87.0 IPS |