samsung SM-A566B
Geekbench AI Score
1385
Single Precision Score
1376
Half Precision Score
2673
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 30 2025 10:39 PM |
| Views | 4 |
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% |
1120
208.3 IPS |
|
|
Image Classification (HP)
|
100% |
1149
213.7 IPS |
|
|
Image Classification (Q)
|
100% |
2118
394.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1039
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2186
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2283
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2266
2.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
5672
6.73 IPS |
|
|
Object Detection (SP)
|
98% |
1009
80.3 IPS |
|
|
Object Detection (HP)
|
98% |
970
77.2 IPS |
|
|
Object Detection (Q)
|
83% |
1775
143.4 IPS |
|
|
Face Detection (SP)
|
100% |
1508
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1528
18.2 IPS |
|
|
Face Detection (Q)
|
95% |
4649
55.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2163
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2077
16.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4656
42.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5378
6.98 IPS |
|
|
Style Transfer (HP)
|
89% |
5388
6.99 IPS |
|
|
Style Transfer (Q)
|
98% |
12281
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1063
39.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1075
39.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2992
110.9 IPS |
|
|
Text Classification (SP)
|
100% |
532
710.2 IPS |
|
|
Text Classification (HP)
|
99% |
531
708.9 IPS |
|
|
Text Classification (Q)
|
88% |
957
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
526
18.7 IPS |
