| Upload Date | December 14 2025 09:36 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 6-Core Processor |
| 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% |
3694
687.0 IPS |
|
|
Image Classification (HP)
|
100% |
3640
677.0 IPS |
|
|
Image Classification (Q)
|
100% |
10306
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4224
68.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4419
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11337
183.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6783
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
6752
7.88 IPS |
|
|
Pose Estimation (Q)
|
98% |
26784
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
3698
293.3 IPS |
|
|
Object Detection (HP)
|
100% |
3605
285.9 IPS |
|
|
Object Detection (Q)
|
88% |
10555
846.1 IPS |
|
|
Face Detection (SP)
|
100% |
9609
114.2 IPS |
|
|
Face Detection (HP)
|
100% |
9508
113.0 IPS |
|
|
Face Detection (Q)
|
100% |
27350
325.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9221
71.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9185
70.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
28115
218.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18787
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18313
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
69711
89.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4349
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4411
162.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13861
513.3 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
3456
4.61 KIPS |
|
|
Text Classification (Q)
|
92% |
5936
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
6800
117.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6676
115.0 IPS |
|
|
Machine Translation (Q)
|
100% |
9576
164.9 IPS |