| User | ChrisSack |
| Upload Date | March 07 2026 05:03 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8700F 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | CyberPowerPC GamingPC |
| Motherboard | Gigabyte Technology Co., Ltd. B650 UD AX-Y1 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700F |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3701
688.3 IPS |
|
|
Image Classification (HP)
|
100% |
3615
672.4 IPS |
|
|
Image Classification (Q)
|
100% |
10625
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4303
69.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3656
59.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11610
188.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7486
8.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
7588
8.85 IPS |
|
|
Pose Estimation (Q)
|
98% |
29769
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
3502
277.8 IPS |
|
|
Object Detection (HP)
|
100% |
3521
279.3 IPS |
|
|
Object Detection (Q)
|
88% |
10928
876.0 IPS |
|
|
Face Detection (SP)
|
100% |
8331
99.0 IPS |
|
|
Face Detection (HP)
|
100% |
8341
99.1 IPS |
|
|
Face Detection (Q)
|
100% |
26552
315.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9554
73.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9604
74.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
26997
210.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20532
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20901
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
77854
100.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4406
162.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4462
164.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14832
549.3 IPS |
|
|
Text Classification (SP)
|
100% |
3553
4.74 KIPS |
|
|
Text Classification (HP)
|
100% |
3597
4.80 KIPS |
|
|
Text Classification (Q)
|
92% |
5700
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5702
98.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5752
99.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7874
135.6 IPS |