| User | monopuerco |
| Upload Date | December 08 2025 05:01 PM |
| Views | 21 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B850I Lightning WiFi |
| Motherboard | ASRock B850I Lightning WiFi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13142
2.44 KIPS |
|
|
Image Classification (HP)
|
100% |
27519
5.12 KIPS |
|
|
Image Classification (Q)
|
100% |
32934
6.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23210
376.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
37536
608.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
39563
641.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
84006
98.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
357698
417.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
676091
791.5 IPS |
|
|
Object Detection (SP)
|
100% |
10663
845.8 IPS |
|
|
Object Detection (HP)
|
100% |
28077
2.23 KIPS |
|
|
Object Detection (Q)
|
88% |
31935
2.56 KIPS |
|
|
Face Detection (SP)
|
100% |
31969
379.9 IPS |
|
|
Face Detection (HP)
|
100% |
65157
774.2 IPS |
|
|
Face Detection (Q)
|
100% |
75065
891.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
62563
482.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
141989
1.09 KIPS |
|
|
Depth Estimation (Q)
|
89% |
167694
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
187942
241.6 IPS |
|
|
Style Transfer (HP)
|
100% |
579169
744.5 IPS |
|
|
Style Transfer (Q)
|
98% |
639600
824.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33896
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83032
3.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82444
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
6735
8.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6248
8.34 KIPS |
|
|
Text Classification (Q)
|
92% |
4009
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5619
96.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7137
123.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7279
125.4 IPS |