samsung SM-A566B
Geekbench AI Score
1494
Single Precision Score
1495
Half Precision Score
2983
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 22 2025 09:18 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% |
1193
221.8 IPS |
|
|
Image Classification (HP)
|
100% |
1210
225.0 IPS |
|
|
Image Classification (Q)
|
100% |
2161
401.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1089
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1095
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2465
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2460
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2495
2.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
6380
7.57 IPS |
|
|
Object Detection (SP)
|
98% |
1099
87.4 IPS |
|
|
Object Detection (HP)
|
98% |
1102
87.7 IPS |
|
|
Object Detection (Q)
|
83% |
1997
161.3 IPS |
|
|
Face Detection (SP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1571
18.7 IPS |
|
|
Face Detection (Q)
|
95% |
4875
58.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2244
17.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2209
17.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5325
48.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5800
7.53 IPS |
|
|
Style Transfer (HP)
|
89% |
5805
7.54 IPS |
|
|
Style Transfer (Q)
|
98% |
14096
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1153
42.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1150
42.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3396
125.8 IPS |
|
|
Text Classification (SP)
|
100% |
631
842.4 IPS |
|
|
Text Classification (HP)
|
99% |
632
843.0 IPS |
|
|
Text Classification (Q)
|
88% |
1121
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (Q)
|
50% |
591
21.0 IPS |
