samsung SM-A556E
Geekbench AI Score
828
Single Precision Score
811
Half Precision Score
1580
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 17 2025 12:59 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
415
77.1 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.9 IPS |
|
|
Image Classification (Q)
|
100% |
1242
230.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
515
8.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
1428
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1978
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1926
2.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
3074
3.65 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (Q)
|
83% |
1085
87.6 IPS |
|
|
Face Detection (SP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
2696
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1481
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1452
11.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2397
22.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2969
3.85 IPS |
|
|
Style Transfer (HP)
|
89% |
2957
3.84 IPS |
|
|
Style Transfer (Q)
|
98% |
6452
8.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
776
28.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
781
28.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1451
53.8 IPS |
|
|
Text Classification (SP)
|
100% |
375
500.7 IPS |
|
|
Text Classification (HP)
|
100% |
340
453.8 IPS |
|
|
Text Classification (Q)
|
88% |
675
910.5 IPS |
|
|
Machine Translation (SP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
403
14.3 IPS |
