samsung SM-A356B
Geekbench AI Score
687
Single Precision Score
676
Half Precision Score
1384
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | November 27 2025 09:02 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A356B |
| Model ID | samsung SM-A356B |
| 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 | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (HP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (Q)
|
100% |
1224
227.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1158
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1526
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1499
1.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
2506
2.97 IPS |
|
|
Object Detection (SP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (HP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (Q)
|
83% |
927
74.9 IPS |
|
|
Face Detection (SP)
|
100% |
876
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
984
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
2234
26.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1213
9.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
1112
8.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
2267
20.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2553
3.31 IPS |
|
|
Style Transfer (HP)
|
89% |
2564
3.33 IPS |
|
|
Style Transfer (Q)
|
98% |
5832
7.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
669
24.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1385
51.3 IPS |
|
|
Text Classification (SP)
|
100% |
333
445.1 IPS |
|
|
Text Classification (HP)
|
100% |
328
437.7 IPS |
|
|
Text Classification (Q)
|
88% |
606
818.0 IPS |
|
|
Machine Translation (SP)
|
100% |
514
8.86 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (Q)
|
50% |
316
11.2 IPS |
