| Upload Date | November 25 2025 04:15 PM |
| 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% |
3721
692.0 IPS |
|
|
Image Classification (HP)
|
100% |
3747
696.8 IPS |
|
|
Image Classification (Q)
|
100% |
10342
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4107
66.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4212
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11524
186.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6838
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
6838
7.98 IPS |
|
|
Pose Estimation (Q)
|
98% |
26751
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
3703
293.7 IPS |
|
|
Object Detection (HP)
|
100% |
3633
288.2 IPS |
|
|
Object Detection (Q)
|
88% |
10752
861.9 IPS |
|
|
Face Detection (SP)
|
100% |
9757
115.9 IPS |
|
|
Face Detection (HP)
|
100% |
9991
118.7 IPS |
|
|
Face Detection (Q)
|
100% |
27417
325.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9154
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9207
70.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
28348
220.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18628
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18894
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
70818
91.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4424
163.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4386
162.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14199
525.8 IPS |
|
|
Text Classification (SP)
|
100% |
3456
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (Q)
|
92% |
5939
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
6837
117.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6793
117.0 IPS |
|
|
Machine Translation (Q)
|
100% |
9769
168.3 IPS |