samsung SM-A556E
Geekbench AI Score
904
Single Precision Score
888
Half Precision Score
1729
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2025 12:00 AM |
| Views | 4 |
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% |
491
91.3 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.2 IPS |
|
|
Image Classification (Q)
|
100% |
1484
276.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
545
8.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
1538
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1965
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1971
2.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
3195
3.79 IPS |
|
|
Object Detection (SP)
|
100% |
413
32.8 IPS |
|
|
Object Detection (HP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (Q)
|
83% |
1200
96.9 IPS |
|
|
Face Detection (SP)
|
100% |
1164
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1165
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
2959
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1573
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1584
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2669
24.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3328
4.32 IPS |
|
|
Style Transfer (HP)
|
89% |
3279
4.26 IPS |
|
|
Style Transfer (Q)
|
98% |
6682
8.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
842
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1614
59.8 IPS |
|
|
Text Classification (SP)
|
100% |
426
569.2 IPS |
|
|
Text Classification (HP)
|
100% |
424
565.9 IPS |
|
|
Text Classification (Q)
|
88% |
745
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
432
15.4 IPS |
