| User | sburnolo |
| Upload Date | February 27 2026 04:11 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B350-F GAMING |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2695
501.2 IPS |
|
|
Image Classification (HP)
|
100% |
2579
479.7 IPS |
|
|
Image Classification (Q)
|
100% |
4181
777.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2972
48.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2991
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4604
74.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5286
6.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
5374
6.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
11279
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
100% |
2624
208.1 IPS |
|
|
Object Detection (Q)
|
87% |
4588
367.9 IPS |
|
|
Face Detection (SP)
|
100% |
4543
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
4525
53.8 IPS |
|
|
Face Detection (Q)
|
97% |
12657
150.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7157
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7133
55.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
12042
95.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15196
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15187
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31977
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3161
116.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3174
117.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6639
245.9 IPS |
|
|
Text Classification (SP)
|
100% |
2594
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2598
3.47 KIPS |
|
|
Text Classification (Q)
|
91% |
1342
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4034
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4146
71.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3827
65.9 IPS |