| Upload Date | November 11 2025 10:24 AM |
| 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 | 5.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3820
710.4 IPS |
|
|
Image Classification (HP)
|
100% |
3818
710.0 IPS |
|
|
Image Classification (Q)
|
100% |
10893
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4332
70.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4331
70.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11718
190.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7032
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
7029
8.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
27373
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
3861
306.2 IPS |
|
|
Object Detection (HP)
|
100% |
3861
306.2 IPS |
|
|
Object Detection (Q)
|
88% |
11272
903.6 IPS |
|
|
Face Detection (SP)
|
100% |
10988
130.6 IPS |
|
|
Face Detection (HP)
|
100% |
10983
130.5 IPS |
|
|
Face Detection (Q)
|
100% |
28289
336.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9461
72.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9446
72.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
29058
226.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19565
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19548
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
71808
92.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4528
167.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4528
167.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14586
540.2 IPS |
|
|
Text Classification (SP)
|
100% |
3622
4.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3633
4.85 KIPS |
|
|
Text Classification (Q)
|
92% |
6299
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
7257
125.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7316
126.0 IPS |
|
|
Machine Translation (Q)
|
100% |
10452
180.0 IPS |