samsung SM-A256B
Geekbench AI Score
431
Single Precision Score
443
Half Precision Score
849
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 01:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A256B |
| Model ID | samsung SM-A256B |
| Motherboard | s5e8825 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
187
34.9 IPS |
|
|
Image Classification (HP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (Q)
|
100% |
557
103.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
849
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
938
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
939
1.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
1354
1.61 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
83% |
552
44.6 IPS |
|
|
Face Detection (SP)
|
100% |
607
7.21 IPS |
|
|
Face Detection (HP)
|
100% |
614
7.29 IPS |
|
|
Face Detection (Q)
|
95% |
1336
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
810
6.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
777
5.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
1273
11.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1587
2.06 IPS |
|
|
Style Transfer (HP)
|
89% |
1592
2.07 IPS |
|
|
Style Transfer (Q)
|
98% |
3235
4.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
421
15.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
423
15.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
780
28.9 IPS |
|
|
Text Classification (SP)
|
100% |
224
298.5 IPS |
|
|
Text Classification (HP)
|
100% |
225
300.0 IPS |
|
|
Text Classification (Q)
|
88% |
449
605.1 IPS |
|
|
Machine Translation (SP)
|
100% |
378
6.52 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (Q)
|
50% |
287
10.2 IPS |
