| Upload Date | October 29 2025 09:26 AM |
| Views | 5 |
| 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. B650M GAMING WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3454
642.4 IPS |
|
|
Image Classification (HP)
|
100% |
734
136.5 IPS |
|
|
Image Classification (Q)
|
99% |
7629
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2011
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1009
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3676
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6197
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
5152
6.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
21744
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
3142
249.2 IPS |
|
|
Object Detection (HP)
|
100% |
914
72.5 IPS |
|
|
Object Detection (Q)
|
86% |
8002
643.1 IPS |
|
|
Face Detection (SP)
|
100% |
6145
73.0 IPS |
|
|
Face Detection (HP)
|
100% |
1915
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
9428
112.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7896
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2642
20.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
15640
124.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15563
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12963
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20105
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3096
114.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2661
98.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4254
157.5 IPS |
|
|
Text Classification (SP)
|
100% |
1922
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
957
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
2059
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2556
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
913
15.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4461
89.6 IPS |