| Upload Date | March 05 2026 09:24 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro B50 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation Edition) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.76 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.94 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11882
2.21 KIPS |
|
|
Image Classification (HP)
|
100% |
30792
5.73 KIPS |
|
|
Image Classification (Q)
|
100% |
36366
6.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21132
342.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
45253
733.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
50497
820.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
48552
56.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
260180
303.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
559620
655.2 IPS |
|
|
Object Detection (SP)
|
100% |
10176
807.2 IPS |
|
|
Object Detection (HP)
|
100% |
30509
2.42 KIPS |
|
|
Object Detection (Q)
|
88% |
41067
3.29 KIPS |
|
|
Face Detection (SP)
|
100% |
28027
333.0 IPS |
|
|
Face Detection (HP)
|
100% |
71631
851.1 IPS |
|
|
Face Detection (Q)
|
100% |
93373
1.11 KIPS |
|
|
Depth Estimation (SP)
|
100% |
46981
362.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
120134
925.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
148723
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
122600
157.6 IPS |
|
|
Style Transfer (HP)
|
100% |
491256
631.5 IPS |
|
|
Style Transfer (Q)
|
98% |
764072
985.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22816
842.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58040
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
122887
4.55 KIPS |
|
|
Text Classification (SP)
|
100% |
7949
10.6 KIPS |
|
|
Text Classification (HP)
|
100% |
9725
13.0 KIPS |
|
|
Text Classification (Q)
|
92% |
5903
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5667
97.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10145
174.7 IPS |
|
|
Machine Translation (Q)
|
100% |
10095
173.9 IPS |