samsung SM-A556B
Geekbench AI Score
990
Single Precision Score
990
Half Precision Score
2199
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2025 01:27 PM |
| Views | 1 |
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% |
492
91.6 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (Q)
|
100% |
1540
286.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
579
9.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
576
9.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
1781
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2142
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2176
2.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
4305
5.11 IPS |
|
|
Object Detection (SP)
|
100% |
483
38.3 IPS |
|
|
Object Detection (HP)
|
100% |
483
38.3 IPS |
|
|
Object Detection (Q)
|
83% |
1418
114.5 IPS |
|
|
Face Detection (SP)
|
100% |
1171
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1202
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
3614
43.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1656
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1636
12.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3885
35.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3979
5.17 IPS |
|
|
Style Transfer (HP)
|
89% |
3922
5.09 IPS |
|
|
Style Transfer (Q)
|
98% |
9638
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
913
33.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
902
33.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2209
81.9 IPS |
|
|
Text Classification (SP)
|
100% |
541
721.7 IPS |
|
|
Text Classification (HP)
|
100% |
536
715.1 IPS |
|
|
Text Classification (Q)
|
88% |
1027
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (Q)
|
50% |
516
18.3 IPS |
