samsung SM-A556B
Geekbench AI Score
725
Single Precision Score
700
Half Precision Score
1384
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | supergordon |
| Upload Date | November 14 2025 08:13 AM |
| Views | 7 |
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% |
437
81.2 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
100% |
1234
229.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
502
8.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
467
7.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
1170
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1709
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1621
1.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
2665
3.16 IPS |
|
|
Object Detection (SP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (HP)
|
100% |
302
24.0 IPS |
|
|
Object Detection (Q)
|
83% |
876
70.7 IPS |
|
|
Face Detection (SP)
|
100% |
846
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
858
10.2 IPS |
|
|
Face Detection (Q)
|
95% |
2510
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1195
9.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
1184
9.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
2094
19.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2662
3.46 IPS |
|
|
Style Transfer (HP)
|
89% |
2668
3.46 IPS |
|
|
Style Transfer (Q)
|
98% |
5828
7.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
693
25.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
632
23.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1335
49.5 IPS |
|
|
Text Classification (SP)
|
100% |
345
460.4 IPS |
|
|
Text Classification (HP)
|
100% |
316
421.7 IPS |
|
|
Text Classification (Q)
|
88% |
539
726.7 IPS |
|
|
Machine Translation (SP)
|
100% |
548
9.43 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (Q)
|
50% |
349
12.4 IPS |
