| Upload Date | November 06 2025 04:02 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 | 5.15 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3848
715.6 IPS |
|
|
Image Classification (HP)
|
100% |
3855
716.8 IPS |
|
|
Image Classification (Q)
|
100% |
10925
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4325
70.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4357
70.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11836
191.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7098
8.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
7092
8.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
27679
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
3911
310.2 IPS |
|
|
Object Detection (HP)
|
100% |
3907
309.9 IPS |
|
|
Object Detection (Q)
|
88% |
11454
918.2 IPS |
|
|
Face Detection (SP)
|
100% |
10903
129.6 IPS |
|
|
Face Detection (HP)
|
100% |
10719
127.4 IPS |
|
|
Face Detection (Q)
|
100% |
28571
339.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9556
73.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9558
73.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
29224
227.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19755
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19762
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
72755
93.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4568
168.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4574
168.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14883
551.2 IPS |
|
|
Text Classification (SP)
|
100% |
3671
4.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3666
4.89 KIPS |
|
|
Text Classification (Q)
|
92% |
6508
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
7303
125.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7332
126.3 IPS |
|
|
Machine Translation (Q)
|
100% |
10596
182.5 IPS |