To Be Filled By O.E.M. B550M-ITX/ac
Geekbench AI Score
2180
Single Precision Score
2183
Half Precision Score
1205
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | othersmith |
| Upload Date | November 11 2025 07:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| 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% |
1741
323.8 IPS |
|
|
Image Classification (HP)
|
100% |
1742
323.9 IPS |
|
|
Image Classification (Q)
|
99% |
754
140.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
860
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2230
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2225
2.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
2132
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
1797
142.5 IPS |
|
|
Object Detection (HP)
|
100% |
1796
142.5 IPS |
|
|
Object Detection (Q)
|
85% |
781
62.8 IPS |
|
|
Face Detection (SP)
|
100% |
2696
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
2703
32.1 IPS |
|
|
Face Detection (Q)
|
97% |
2044
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2214
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2244
17.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1560
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2294
2.95 IPS |
|
|
Style Transfer (HP)
|
100% |
2325
2.99 IPS |
|
|
Style Transfer (Q)
|
98% |
4230
5.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2078
76.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2070
76.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1148
42.5 IPS |
|
|
Text Classification (SP)
|
100% |
2060
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2057
2.75 KIPS |
|
|
Text Classification (Q)
|
92% |
667
896.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2742
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2739
47.2 IPS |
|
|
Machine Translation (Q)
|
58% |
580
13.6 IPS |
