samsung SM-A566B
Geekbench AI Score
256
Single Precision Score
253
Half Precision Score
587
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Jockeeth |
| Upload Date | October 24 2025 06:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A566B |
| Model ID | samsung SM-A566B |
| Motherboard | s5e8855 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 11.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
164
30.4 IPS |
|
|
Image Classification (HP)
|
100% |
164
30.6 IPS |
|
|
Image Classification (Q)
|
99% |
423
78.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
458
7.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
282
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
278
0.32 IPS |
|
|
Pose Estimation (Q)
|
98% |
1016
1.19 IPS |
|
|
Object Detection (SP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
87% |
440
35.3 IPS |
|
|
Face Detection (SP)
|
100% |
432
5.13 IPS |
|
|
Face Detection (HP)
|
100% |
420
4.99 IPS |
|
|
Face Detection (Q)
|
97% |
880
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
336
2.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
329
2.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
756
6.86 IPS |
|
|
Style Transfer (SP)
|
100% |
546
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
538
0.69 IPS |
|
|
Style Transfer (Q)
|
98% |
1605
2.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
153
5.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
149
5.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
550
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
196
261.8 IPS |
|
|
Text Classification (HP)
|
100% |
197
263.0 IPS |
|
|
Text Classification (Q)
|
91% |
335
450.5 IPS |
|
|
Machine Translation (SP)
|
100% |
342
5.90 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (Q)
|
57% |
287
7.01 IPS |
