samsung SM-A556B
Geekbench AI Score
890
Single Precision Score
891
Half Precision Score
1766
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 28 2025 05:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A556B |
| Model ID | samsung SM-A556B |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (HP)
|
100% |
414
76.9 IPS |
|
|
Image Classification (Q)
|
100% |
1242
231.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
517
8.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
517
8.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
1445
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1970
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1977
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
3202
3.80 IPS |
|
|
Object Detection (SP)
|
100% |
413
32.8 IPS |
|
|
Object Detection (HP)
|
100% |
414
32.8 IPS |
|
|
Object Detection (Q)
|
83% |
1214
98.1 IPS |
|
|
Face Detection (SP)
|
100% |
1160
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1165
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
2951
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1614
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1614
12.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2927
26.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3421
4.44 IPS |
|
|
Style Transfer (HP)
|
89% |
3450
4.48 IPS |
|
|
Style Transfer (Q)
|
98% |
7424
9.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
868
32.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
870
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1776
65.8 IPS |
|
|
Text Classification (SP)
|
100% |
446
595.2 IPS |
|
|
Text Classification (HP)
|
100% |
445
593.6 IPS |
|
|
Text Classification (Q)
|
88% |
802
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
464
16.5 IPS |
