samsung SM-A566B
Geekbench AI Score
759
Single Precision Score
1247
Half Precision Score
936
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 30 2025 10:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
529
98.3 IPS |
|
|
Image Classification (HP)
|
100% |
723
134.5 IPS |
|
|
Image Classification (Q)
|
100% |
697
129.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
1085
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1026
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2758
3.22 IPS |
|
|
Pose Estimation (HP)
|
99% |
6035
7.04 IPS |
|
|
Pose Estimation (Q)
|
95% |
6027
7.06 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
99% |
650
51.6 IPS |
|
|
Object Detection (Q)
|
84% |
586
47.3 IPS |
|
|
Face Detection (SP)
|
100% |
1322
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
2288
27.2 IPS |
|
|
Face Detection (Q)
|
97% |
1910
22.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1981
15.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3600
27.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
2534
24.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5847
7.52 IPS |
|
|
Style Transfer (HP)
|
100% |
9663
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
9626
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
953
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1669
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1729
64.1 IPS |
|
|
Text Classification (SP)
|
35% |
35
322.6 IPS |
|
|
Text Classification (HP)
|
35% |
45
413.3 IPS |
|
|
Text Classification (Q)
|
31% |
26
390.1 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.55 IPS |
|
|
Machine Translation (Q)
|
42% |
98
6.37 IPS |
