| Upload Date | November 09 2025 03:23 PM |
| Views | 3 |
| 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 | 5.15 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3867
719.1 IPS |
|
|
Image Classification (HP)
|
100% |
3861
718.0 IPS |
|
|
Image Classification (Q)
|
100% |
10908
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4368
70.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4371
70.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11875
192.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7088
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
7094
8.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
27635
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
3921
311.0 IPS |
|
|
Object Detection (HP)
|
100% |
3921
311.0 IPS |
|
|
Object Detection (Q)
|
88% |
11404
914.2 IPS |
|
|
Face Detection (SP)
|
100% |
11063
131.5 IPS |
|
|
Face Detection (HP)
|
100% |
11054
131.3 IPS |
|
|
Face Detection (Q)
|
100% |
28510
338.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9572
73.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9542
73.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
29456
229.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19740
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19762
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
72826
93.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4571
168.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4568
168.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14773
547.1 IPS |
|
|
Text Classification (SP)
|
100% |
3697
4.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3668
4.90 KIPS |
|
|
Text Classification (Q)
|
92% |
6362
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
7337
126.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7277
125.3 IPS |
|
|
Machine Translation (Q)
|
100% |
10670
183.8 IPS |