samsung SM-A566B
Geekbench AI Score
1416
Single Precision Score
1414
Half Precision Score
2783
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Dan_foxy |
| Upload Date | January 13 2026 09:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1170
217.6 IPS |
|
|
Image Classification (HP)
|
100% |
1169
217.3 IPS |
|
|
Image Classification (Q)
|
100% |
2186
406.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1010
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2343
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2231
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2339
2.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
5694
6.75 IPS |
|
|
Object Detection (SP)
|
98% |
1003
79.8 IPS |
|
|
Object Detection (HP)
|
98% |
1036
82.4 IPS |
|
|
Object Detection (Q)
|
83% |
1857
150.0 IPS |
|
|
Face Detection (SP)
|
100% |
1551
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
1544
18.3 IPS |
|
|
Face Detection (Q)
|
95% |
4648
55.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2141
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2104
16.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5070
46.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5554
7.21 IPS |
|
|
Style Transfer (HP)
|
89% |
5595
7.26 IPS |
|
|
Style Transfer (Q)
|
98% |
12331
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1089
40.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1082
40.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3181
117.9 IPS |
|
|
Text Classification (SP)
|
100% |
579
773.4 IPS |
|
|
Text Classification (HP)
|
99% |
570
761.0 IPS |
|
|
Text Classification (Q)
|
88% |
1023
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
546
19.4 IPS |
