samsung SM-A356U
Geekbench AI Score
709
Single Precision Score
682
Half Precision Score
1447
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 15 2026 05:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A356U |
| Model ID | samsung SM-A356U |
| Motherboard | s5e8835 |
| 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 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
355
66.1 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.6 IPS |
|
|
Image Classification (Q)
|
100% |
1016
188.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
393
6.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
1190
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1521
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1524
1.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
2700
3.20 IPS |
|
|
Object Detection (SP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (Q)
|
83% |
985
79.5 IPS |
|
|
Face Detection (SP)
|
100% |
1034
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
819
9.73 IPS |
|
|
Face Detection (Q)
|
95% |
2409
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1284
9.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
1257
9.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
2347
21.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2756
3.58 IPS |
|
|
Style Transfer (HP)
|
89% |
2736
3.55 IPS |
|
|
Style Transfer (Q)
|
98% |
6150
7.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
703
26.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
645
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1461
54.1 IPS |
|
|
Text Classification (SP)
|
100% |
352
469.9 IPS |
|
|
Text Classification (HP)
|
100% |
346
461.9 IPS |
|
|
Text Classification (Q)
|
88% |
659
888.8 IPS |
|
|
Machine Translation (SP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
50% |
376
13.3 IPS |
