samsung SM-A566B
Geekbench AI Score
1207
Single Precision Score
1190
Half Precision Score
2455
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Jockeeth |
| Upload Date | August 18 2025 09:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A566B |
| Model ID | samsung SM-A566B |
| Motherboard | s5e8855 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 11.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
889
165.3 IPS |
|
|
Image Classification (HP)
|
100% |
986
183.4 IPS |
|
|
Image Classification (Q)
|
100% |
2034
378.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2259
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2059
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2124
2.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
5472
6.49 IPS |
|
|
Object Detection (SP)
|
98% |
915
72.8 IPS |
|
|
Object Detection (HP)
|
98% |
884
70.3 IPS |
|
|
Object Detection (Q)
|
83% |
1751
141.4 IPS |
|
|
Face Detection (SP)
|
100% |
1270
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1207
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
3736
44.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1846
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1633
12.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4516
41.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4870
6.32 IPS |
|
|
Style Transfer (HP)
|
89% |
4634
6.02 IPS |
|
|
Style Transfer (Q)
|
98% |
11915
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
937
34.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
926
34.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2474
91.7 IPS |
|
|
Text Classification (SP)
|
100% |
465
621.0 IPS |
|
|
Text Classification (HP)
|
99% |
477
636.9 IPS |
|
|
Text Classification (Q)
|
88% |
819
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (Q)
|
50% |
444
15.8 IPS |
