| User | paolus |
| Upload Date | January 02 2026 11:42 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Manjaro Linux |
| Model | ASRock B650 Steel Legend WiFi |
| Motherboard | ASRock B650 Steel Legend WiFi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.66 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 93.87 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13234
2.46 KIPS |
|
|
Image Classification (HP)
|
100% |
28444
5.29 KIPS |
|
|
Image Classification (Q)
|
100% |
35062
6.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23259
377.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
37874
614.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
40237
654.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
84558
98.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
362082
422.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
684230
801.1 IPS |
|
|
Object Detection (SP)
|
100% |
10783
855.3 IPS |
|
|
Object Detection (HP)
|
100% |
30853
2.45 KIPS |
|
|
Object Detection (Q)
|
88% |
37500
3.01 KIPS |
|
|
Face Detection (SP)
|
100% |
33231
394.9 IPS |
|
|
Face Detection (HP)
|
100% |
72213
858.0 IPS |
|
|
Face Detection (Q)
|
100% |
83383
990.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
62970
485.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
147703
1.14 KIPS |
|
|
Depth Estimation (Q)
|
89% |
173298
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
205800
264.6 IPS |
|
|
Style Transfer (HP)
|
100% |
708822
911.2 IPS |
|
|
Style Transfer (Q)
|
98% |
981071
1.27 KIPS |
|
|
Image Super-Resolution (SP)
|
100% |
34190
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91896
3.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
131685
4.88 KIPS |
|
|
Text Classification (SP)
|
100% |
8543
11.4 KIPS |
|
|
Text Classification (HP)
|
100% |
9048
12.1 KIPS |
|
|
Text Classification (Q)
|
92% |
5553
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5512
94.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8199
141.7 IPS |
|
|
Machine Translation (Q)
|
100% |
8165
140.6 IPS |