| Upload Date | October 18 2025 03:53 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock X300M-STX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2628
488.8 IPS |
|
|
Image Classification (HP)
|
100% |
2547
473.6 IPS |
|
|
Image Classification (Q)
|
100% |
5269
979.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2966
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2952
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6069
98.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6093
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
6072
7.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
14659
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2600
206.2 IPS |
|
|
Object Detection (HP)
|
100% |
2514
199.4 IPS |
|
|
Object Detection (Q)
|
87% |
5595
448.7 IPS |
|
|
Face Detection (SP)
|
100% |
5220
62.0 IPS |
|
|
Face Detection (HP)
|
100% |
4980
59.2 IPS |
|
|
Face Detection (Q)
|
97% |
15305
182.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7027
54.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7321
56.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
14230
112.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17014
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17255
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
42185
54.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3493
129.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3434
126.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8525
315.8 IPS |
|
|
Text Classification (SP)
|
100% |
2860
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2895
3.86 KIPS |
|
|
Text Classification (Q)
|
91% |
1280
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4086
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4005
69.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3399
58.5 IPS |