| Upload Date | October 29 2025 03:23 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASRock B650M-HDV/M.2 |
| Motherboard | ASRock B650M-HDV/M.2 |
| Power Plan | AMD Ryzen [Zen4] Ultimate HighPower 11-v5 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.05 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3793
705.3 IPS |
|
|
Image Classification (HP)
|
100% |
3783
703.5 IPS |
|
|
Image Classification (Q)
|
100% |
10826
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4272
69.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4271
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11665
189.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6968
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
6962
8.12 IPS |
|
|
Pose Estimation (Q)
|
98% |
27129
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
3848
305.2 IPS |
|
|
Object Detection (HP)
|
100% |
3848
305.2 IPS |
|
|
Object Detection (Q)
|
88% |
11233
900.4 IPS |
|
|
Face Detection (SP)
|
100% |
10793
128.2 IPS |
|
|
Face Detection (HP)
|
100% |
10861
129.1 IPS |
|
|
Face Detection (Q)
|
100% |
28065
333.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9395
72.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9373
72.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
28862
224.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19389
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19369
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
71349
92.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4480
165.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4485
165.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14455
535.3 IPS |
|
|
Text Classification (SP)
|
100% |
3589
4.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3599
4.80 KIPS |
|
|
Text Classification (Q)
|
92% |
6253
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
7178
123.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7222
124.4 IPS |
|
|
Machine Translation (Q)
|
100% |
10425
179.6 IPS |