samsung SM-A566B
Geekbench AI Score
1472
Single Precision Score
1478
Half Precision Score
3009
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 10 2025 01:41 PM |
| Views | 8 |
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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1153
214.4 IPS |
|
|
Image Classification (HP)
|
100% |
1204
224.0 IPS |
|
|
Image Classification (Q)
|
100% |
2236
415.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1046
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1032
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2468
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2447
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2390
2.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
6175
7.32 IPS |
|
|
Object Detection (SP)
|
98% |
1053
83.8 IPS |
|
|
Object Detection (HP)
|
98% |
1097
87.3 IPS |
|
|
Object Detection (Q)
|
83% |
2074
167.5 IPS |
|
|
Face Detection (SP)
|
100% |
1532
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1549
18.4 IPS |
|
|
Face Detection (Q)
|
95% |
4807
57.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2235
17.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2246
17.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5281
48.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5779
7.50 IPS |
|
|
Style Transfer (HP)
|
89% |
5797
7.52 IPS |
|
|
Style Transfer (Q)
|
98% |
14021
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1135
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1144
42.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3438
127.4 IPS |
|
|
Text Classification (SP)
|
100% |
631
842.2 IPS |
|
|
Text Classification (HP)
|
99% |
632
842.9 IPS |
|
|
Text Classification (Q)
|
88% |
1230
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (Q)
|
50% |
573
20.3 IPS |
