samsung SM-A566B
Geekbench AI Score
1506
Single Precision Score
1520
Half Precision Score
3032
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 08:53 PM |
| Views | 2 |
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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1215
226.0 IPS |
|
|
Image Classification (HP)
|
100% |
1213
225.6 IPS |
|
|
Image Classification (Q)
|
100% |
2162
402.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1085
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1104
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2470
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2472
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2516
2.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
6345
7.53 IPS |
|
|
Object Detection (SP)
|
98% |
1115
88.8 IPS |
|
|
Object Detection (HP)
|
98% |
1118
89.0 IPS |
|
|
Object Detection (Q)
|
83% |
2094
169.2 IPS |
|
|
Face Detection (SP)
|
100% |
1585
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1592
18.9 IPS |
|
|
Face Detection (Q)
|
95% |
4833
57.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2320
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2303
17.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5332
48.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5719
7.42 IPS |
|
|
Style Transfer (HP)
|
89% |
5680
7.37 IPS |
|
|
Style Transfer (Q)
|
98% |
14163
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1132
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1155
42.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3434
127.3 IPS |
|
|
Text Classification (SP)
|
100% |
630
841.5 IPS |
|
|
Text Classification (HP)
|
99% |
673
898.2 IPS |
|
|
Text Classification (Q)
|
88% |
1230
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1106
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (Q)
|
50% |
602
21.4 IPS |
