samsung SM-A356B
Geekbench AI Score
686
Single Precision Score
681
Half Precision Score
1405
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | November 21 2025 05:18 PM |
| Views | 5 |
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% |
429
79.8 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (Q)
|
100% |
1113
207.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
426
6.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
1190
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1515
1.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
1523
1.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
2653
3.15 IPS |
|
|
Object Detection (SP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (HP)
|
100% |
317
25.1 IPS |
|
|
Object Detection (Q)
|
83% |
981
79.3 IPS |
|
|
Face Detection (SP)
|
100% |
916
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
904
10.7 IPS |
|
|
Face Detection (Q)
|
95% |
2360
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1117
8.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
1198
9.23 IPS |
|
|
Depth Estimation (Q)
|
64% |
2396
21.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2548
3.31 IPS |
|
|
Style Transfer (HP)
|
89% |
2569
3.34 IPS |
|
|
Style Transfer (Q)
|
98% |
5767
7.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
618
22.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
670
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1383
51.2 IPS |
|
|
Text Classification (SP)
|
100% |
329
438.7 IPS |
|
|
Text Classification (HP)
|
100% |
331
442.2 IPS |
|
|
Text Classification (Q)
|
88% |
606
816.9 IPS |
|
|
Machine Translation (SP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (Q)
|
50% |
320
11.4 IPS |
