To Be Filled By O.E.M. B550M-ITX/ac
Geekbench AI Score
4678
Single Precision Score
4666
Half Precision Score
7362
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | othersmith |
| Upload Date | November 11 2025 07:44 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | To Be Filled By O.E.M. B550M-ITX/ac |
| Motherboard | ASRock B550M-ITX/ac |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.65 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2923
543.7 IPS |
|
|
Image Classification (HP)
|
100% |
2941
547.0 IPS |
|
|
Image Classification (Q)
|
100% |
4697
873.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3438
55.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3443
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5222
84.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5290
6.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
5183
6.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
11302
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
2796
221.8 IPS |
|
|
Object Detection (HP)
|
100% |
2829
224.4 IPS |
|
|
Object Detection (Q)
|
87% |
5009
401.7 IPS |
|
|
Face Detection (SP)
|
100% |
6854
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
6797
80.8 IPS |
|
|
Face Detection (Q)
|
97% |
13795
164.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6955
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7042
54.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
13025
102.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15718
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15670
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32363
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3339
123.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3327
122.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6727
249.2 IPS |
|
|
Text Classification (SP)
|
100% |
2673
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2637
3.52 KIPS |
|
|
Text Classification (Q)
|
91% |
1740
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
5059
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5011
86.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4950
85.3 IPS |
