samsung SM-A566B
Geekbench AI Score
1329
Single Precision Score
1321
Half Precision Score
2499
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 28 2025 05:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1114
207.1 IPS |
|
|
Image Classification (HP)
|
100% |
1158
215.3 IPS |
|
|
Image Classification (Q)
|
100% |
2140
397.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1001
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2348
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2245
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2151
2.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
5212
6.18 IPS |
|
|
Object Detection (SP)
|
98% |
951
75.7 IPS |
|
|
Object Detection (HP)
|
98% |
951
75.6 IPS |
|
|
Object Detection (Q)
|
83% |
1636
132.1 IPS |
|
|
Face Detection (SP)
|
100% |
1486
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1380
16.4 IPS |
|
|
Face Detection (Q)
|
95% |
3902
46.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1874
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1903
14.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4291
39.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5082
6.60 IPS |
|
|
Style Transfer (HP)
|
89% |
5100
6.62 IPS |
|
|
Style Transfer (Q)
|
98% |
11352
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2753
102.0 IPS |
|
|
Text Classification (SP)
|
100% |
531
708.1 IPS |
|
|
Text Classification (HP)
|
99% |
530
707.9 IPS |
|
|
Text Classification (Q)
|
88% |
910
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
955
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
467
16.6 IPS |
