samsung SM-A566B
Geekbench AI Score
1409
Single Precision Score
1401
Half Precision Score
2740
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 05 2025 04:21 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1207
224.5 IPS |
|
|
Image Classification (HP)
|
100% |
1169
217.5 IPS |
|
|
Image Classification (Q)
|
100% |
2176
404.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1087
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2376
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2291
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2332
2.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
5744
6.81 IPS |
|
|
Object Detection (SP)
|
98% |
1014
80.7 IPS |
|
|
Object Detection (HP)
|
98% |
979
77.9 IPS |
|
|
Object Detection (Q)
|
83% |
1805
145.8 IPS |
|
|
Face Detection (SP)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1562
18.6 IPS |
|
|
Face Detection (Q)
|
95% |
4709
56.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2010
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1945
15.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4610
42.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5391
7.00 IPS |
|
|
Style Transfer (HP)
|
89% |
5356
6.95 IPS |
|
|
Style Transfer (Q)
|
98% |
12370
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1058
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1076
39.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3017
111.8 IPS |
|
|
Text Classification (SP)
|
100% |
555
740.7 IPS |
|
|
Text Classification (HP)
|
99% |
551
735.0 IPS |
|
|
Text Classification (Q)
|
88% |
998
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (Q)
|
50% |
551
19.5 IPS |
