| Upload Date | November 18 2025 07:50 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2943
547.4 IPS |
|
|
Image Classification (HP)
|
100% |
748
139.1 IPS |
|
|
Image Classification (Q)
|
99% |
8073
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1026
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3857
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6078
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
5086
5.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
22420
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
3116
247.2 IPS |
|
|
Object Detection (HP)
|
100% |
908
72.0 IPS |
|
|
Object Detection (Q)
|
86% |
8349
671.0 IPS |
|
|
Face Detection (SP)
|
100% |
7117
84.6 IPS |
|
|
Face Detection (HP)
|
100% |
2131
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
9953
118.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7864
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2698
20.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16669
133.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15008
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12394
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26298
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2899
107.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2415
89.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4403
163.1 IPS |
|
|
Text Classification (SP)
|
100% |
1850
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
977
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2233
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2731
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4783
96.1 IPS |