samsung SM-A566E
Geekbench AI Score
1316
Single Precision Score
1323
Half Precision Score
2450
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 12 2025 04:46 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
974
181.1 IPS |
|
|
Image Classification (HP)
|
100% |
1092
203.1 IPS |
|
|
Image Classification (Q)
|
100% |
1903
353.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
999
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2127
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2261
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2120
2.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
5167
6.13 IPS |
|
|
Object Detection (SP)
|
98% |
917
73.0 IPS |
|
|
Object Detection (HP)
|
98% |
966
76.8 IPS |
|
|
Object Detection (Q)
|
83% |
1608
129.9 IPS |
|
|
Face Detection (SP)
|
100% |
1453
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1445
17.2 IPS |
|
|
Face Detection (Q)
|
95% |
3980
47.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2084
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2044
15.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4537
41.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5158
6.70 IPS |
|
|
Style Transfer (HP)
|
89% |
5120
6.65 IPS |
|
|
Style Transfer (Q)
|
98% |
11430
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1037
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1028
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2796
103.6 IPS |
|
|
Text Classification (SP)
|
100% |
510
680.1 IPS |
|
|
Text Classification (HP)
|
99% |
495
660.6 IPS |
|
|
Text Classification (Q)
|
88% |
876
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (Q)
|
50% |
459
16.3 IPS |
