| Upload Date | October 31 2025 11:56 AM |
| Views | 2 |
| 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 H |
| Motherboard | Gigabyte Technology Co., Ltd. B650M H |
| 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% |
3388
630.1 IPS |
|
|
Image Classification (HP)
|
100% |
743
138.2 IPS |
|
|
Image Classification (Q)
|
99% |
7510
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1009
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3695
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6267
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5165
6.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
21501
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
3106
246.4 IPS |
|
|
Object Detection (HP)
|
100% |
911
72.3 IPS |
|
|
Object Detection (Q)
|
86% |
8005
643.3 IPS |
|
|
Face Detection (SP)
|
100% |
5851
69.5 IPS |
|
|
Face Detection (HP)
|
100% |
1923
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
9346
111.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7942
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2575
19.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15500
123.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15549
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13074
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18998
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3081
113.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2627
97.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4299
159.2 IPS |
|
|
Text Classification (SP)
|
100% |
1828
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
951
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2098
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2802
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4543
91.3 IPS |