| Upload Date | November 13 2025 08:09 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% |
3669
682.3 IPS |
|
|
Image Classification (HP)
|
100% |
3576
665.0 IPS |
|
|
Image Classification (Q)
|
100% |
10423
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4071
66.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4190
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11367
184.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6818
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
6802
7.94 IPS |
|
|
Pose Estimation (Q)
|
98% |
26914
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
3654
289.8 IPS |
|
|
Object Detection (HP)
|
100% |
3654
289.9 IPS |
|
|
Object Detection (Q)
|
88% |
10740
861.0 IPS |
|
|
Face Detection (SP)
|
100% |
9654
114.7 IPS |
|
|
Face Detection (HP)
|
100% |
9739
115.7 IPS |
|
|
Face Detection (Q)
|
100% |
27414
325.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9203
70.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9116
70.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
27272
212.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18566
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18852
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
70647
91.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4364
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4319
159.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14149
524.0 IPS |
|
|
Text Classification (SP)
|
100% |
3444
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (Q)
|
92% |
5943
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
6856
118.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6874
118.4 IPS |
|
|
Machine Translation (Q)
|
100% |
9497
163.6 IPS |