| Upload Date | November 06 2025 05:33 PM |
| Views | 6 |
| 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 | 5.23 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3917
728.5 IPS |
|
|
Image Classification (HP)
|
100% |
3906
726.5 IPS |
|
|
Image Classification (Q)
|
100% |
10993
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4432
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4441
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11908
193.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7190
8.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
7184
8.38 IPS |
|
|
Pose Estimation (Q)
|
98% |
28034
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
3960
314.1 IPS |
|
|
Object Detection (HP)
|
100% |
3953
313.5 IPS |
|
|
Object Detection (Q)
|
88% |
11569
927.4 IPS |
|
|
Face Detection (SP)
|
100% |
11171
132.7 IPS |
|
|
Face Detection (HP)
|
100% |
11175
132.8 IPS |
|
|
Face Detection (Q)
|
100% |
29012
344.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9668
74.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9667
74.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
29748
231.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20068
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20038
25.8 IPS |
|
|
Style Transfer (Q)
|
98% |
73528
94.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4624
170.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4637
171.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14978
554.7 IPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (Q)
|
92% |
6386
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
7386
127.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7423
127.9 IPS |
|
|
Machine Translation (Q)
|
100% |
10697
184.3 IPS |