samsung SM-A156B
Geekbench AI Score
477
Single Precision Score
476
Half Precision Score
876
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 27 2025 05:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A156B |
| Model ID | samsung SM-A156B |
| Motherboard | a15x |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
202
37.6 IPS |
|
|
Image Classification (HP)
|
100% |
206
38.3 IPS |
|
|
Image Classification (Q)
|
100% |
604
112.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
264
4.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
680
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1011
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
979
1.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
1354
1.61 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.7 IPS |
|
|
Object Detection (Q)
|
83% |
550
44.4 IPS |
|
|
Face Detection (SP)
|
100% |
689
8.18 IPS |
|
|
Face Detection (HP)
|
100% |
686
8.15 IPS |
|
|
Face Detection (Q)
|
95% |
1404
16.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
869
6.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
899
6.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
1431
13.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1731
2.25 IPS |
|
|
Style Transfer (HP)
|
89% |
1741
2.26 IPS |
|
|
Style Transfer (Q)
|
98% |
3590
4.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
461
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
862
32.0 IPS |
|
|
Text Classification (SP)
|
100% |
251
335.6 IPS |
|
|
Text Classification (HP)
|
100% |
259
346.3 IPS |
|
|
Text Classification (Q)
|
88% |
445
599.7 IPS |
|
|
Machine Translation (SP)
|
100% |
442
7.62 IPS |
|
|
Machine Translation (HP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (Q)
|
50% |
315
11.2 IPS |
