samsung SM-A556B
Geekbench AI Score
940
Single Precision Score
942
Half Precision Score
2078
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2025 05:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.6 IPS |
|
|
Image Classification (Q)
|
100% |
1492
277.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
554
8.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
555
9.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
1752
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1987
2.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2087
2.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
3861
4.58 IPS |
|
|
Object Detection (SP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (Q)
|
83% |
1373
110.9 IPS |
|
|
Face Detection (SP)
|
100% |
1156
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1160
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
3501
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1499
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1586
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3456
31.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3845
4.99 IPS |
|
|
Style Transfer (HP)
|
89% |
3849
5.00 IPS |
|
|
Style Transfer (Q)
|
98% |
8824
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
871
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2193
81.3 IPS |
|
|
Text Classification (SP)
|
100% |
523
697.5 IPS |
|
|
Text Classification (HP)
|
100% |
510
680.8 IPS |
|
|
Text Classification (Q)
|
88% |
1001
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (Q)
|
50% |
464
16.5 IPS |
