| Upload Date | November 13 2025 08:13 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% |
3715
690.9 IPS |
|
|
Image Classification (HP)
|
100% |
3707
689.3 IPS |
|
|
Image Classification (Q)
|
100% |
10521
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4050
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4175
67.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11416
185.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6844
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
6806
7.94 IPS |
|
|
Pose Estimation (Q)
|
98% |
26340
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
3652
289.7 IPS |
|
|
Object Detection (HP)
|
100% |
3606
286.0 IPS |
|
|
Object Detection (Q)
|
88% |
10250
821.7 IPS |
|
|
Face Detection (SP)
|
100% |
7874
93.6 IPS |
|
|
Face Detection (HP)
|
100% |
9388
111.6 IPS |
|
|
Face Detection (Q)
|
100% |
26572
315.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8858
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8805
67.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
26848
208.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18515
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18475
23.7 IPS |
|
|
Style Transfer (Q)
|
98% |
69271
89.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4264
157.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4413
162.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14204
526.0 IPS |
|
|
Text Classification (SP)
|
100% |
3470
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (Q)
|
92% |
5938
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
6840
117.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6542
112.7 IPS |
|
|
Machine Translation (Q)
|
100% |
9464
163.0 IPS |