| Upload Date | November 13 2025 08:18 AM |
| Views | 2 |
| 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% |
3695
687.1 IPS |
|
|
Image Classification (HP)
|
100% |
3705
689.1 IPS |
|
|
Image Classification (Q)
|
100% |
10527
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4114
66.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4225
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11432
185.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6751
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
6849
7.99 IPS |
|
|
Pose Estimation (Q)
|
98% |
26794
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
3713
294.5 IPS |
|
|
Object Detection (HP)
|
100% |
3697
293.2 IPS |
|
|
Object Detection (Q)
|
88% |
10491
841.0 IPS |
|
|
Face Detection (SP)
|
100% |
9548
113.5 IPS |
|
|
Face Detection (HP)
|
100% |
9683
115.1 IPS |
|
|
Face Detection (Q)
|
100% |
26916
319.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8926
68.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9239
71.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
28023
218.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18681
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18428
23.7 IPS |
|
|
Style Transfer (Q)
|
98% |
69141
89.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4308
159.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4299
158.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13977
517.6 IPS |
|
|
Text Classification (SP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3452
4.61 KIPS |
|
|
Text Classification (Q)
|
92% |
5934
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
6645
114.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6670
114.9 IPS |
|
|
Machine Translation (Q)
|
100% |
9527
164.1 IPS |