samsung SM-A556E
Geekbench AI Score
976
Single Precision Score
962
Half Precision Score
1937
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 13 2025 09:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A556E |
| Model ID | samsung SM-A556E |
| Motherboard | s5e8845 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 2.05 GHz |
| Cluster 1 | 4 Cores @ 2.05 GHz |
| Cluster 2 | 4 Cores @ 2.75 GHz |
| Memory Information | |
|---|---|
| Size | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
521
97.0 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.5 IPS |
|
|
Image Classification (Q)
|
100% |
1641
305.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1910
31.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2272
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2115
2.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
3642
4.32 IPS |
|
|
Object Detection (SP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (HP)
|
100% |
477
37.8 IPS |
|
|
Object Detection (Q)
|
83% |
1373
110.9 IPS |
|
|
Face Detection (SP)
|
100% |
1247
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1239
14.7 IPS |
|
|
Face Detection (Q)
|
95% |
3140
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1707
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1687
13.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3188
29.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3537
4.59 IPS |
|
|
Style Transfer (HP)
|
89% |
3452
4.48 IPS |
|
|
Style Transfer (Q)
|
98% |
7478
9.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
922
34.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
890
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1764
65.4 IPS |
|
|
Text Classification (SP)
|
100% |
442
590.1 IPS |
|
|
Text Classification (HP)
|
100% |
447
596.9 IPS |
|
|
Text Classification (Q)
|
88% |
806
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
448
15.9 IPS |
