samsung SM-A566E
Geekbench AI Score
1440
Single Precision Score
1463
Half Precision Score
2977
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 21 2025 12:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A566E |
| Model ID | samsung SM-A566E |
| 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 | 11.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1153
214.3 IPS |
|
|
Image Classification (HP)
|
100% |
1192
221.6 IPS |
|
|
Image Classification (Q)
|
100% |
2147
399.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1027
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1029
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2465
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2448
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2467
2.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
6360
7.54 IPS |
|
|
Object Detection (SP)
|
98% |
1063
84.6 IPS |
|
|
Object Detection (HP)
|
98% |
1062
84.5 IPS |
|
|
Object Detection (Q)
|
83% |
1971
159.2 IPS |
|
|
Face Detection (SP)
|
100% |
1488
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1534
18.2 IPS |
|
|
Face Detection (Q)
|
95% |
4857
58.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1947
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2064
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5278
48.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5721
7.43 IPS |
|
|
Style Transfer (HP)
|
89% |
5717
7.42 IPS |
|
|
Style Transfer (Q)
|
98% |
14068
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1123
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1126
41.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3434
127.2 IPS |
|
|
Text Classification (SP)
|
100% |
606
808.4 IPS |
|
|
Text Classification (HP)
|
99% |
644
859.1 IPS |
|
|
Text Classification (Q)
|
88% |
1154
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1105
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (Q)
|
50% |
578
20.5 IPS |
