samsung SM-A566B
Geekbench AI Score
1398
Single Precision Score
1406
Half Precision Score
2754
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 05:02 PM |
| Views | 1 |
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% |
1148
213.5 IPS |
|
|
Image Classification (HP)
|
100% |
1115
207.3 IPS |
|
|
Image Classification (Q)
|
100% |
2123
394.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2339
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2225
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2251
2.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
6276
7.44 IPS |
|
|
Object Detection (SP)
|
98% |
997
79.3 IPS |
|
|
Object Detection (HP)
|
98% |
1016
80.8 IPS |
|
|
Object Detection (Q)
|
83% |
1847
149.2 IPS |
|
|
Face Detection (SP)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1544
18.3 IPS |
|
|
Face Detection (Q)
|
95% |
4668
55.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2136
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2197
17.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4644
42.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5400
7.01 IPS |
|
|
Style Transfer (HP)
|
89% |
5395
7.00 IPS |
|
|
Style Transfer (Q)
|
98% |
12403
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1072
39.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1065
39.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3014
111.7 IPS |
|
|
Text Classification (SP)
|
100% |
557
743.6 IPS |
|
|
Text Classification (HP)
|
99% |
579
773.3 IPS |
|
|
Text Classification (Q)
|
88% |
1001
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (Q)
|
50% |
539
19.1 IPS |
