samsung SM-A566B
Geekbench AI Score
805
Single Precision Score
701
Half Precision Score
700
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 24 2025 03:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 11.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
519
96.5 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.6 IPS |
|
|
Image Classification (Q)
|
99% |
426
79.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
763
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
736
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1292
1.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
924
1.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
914
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (HP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (Q)
|
86% |
350
28.1 IPS |
|
|
Face Detection (SP)
|
100% |
1389
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1481
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
1333
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1644
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1217
9.40 IPS |
|
|
Depth Estimation (Q)
|
63% |
997
9.32 IPS |
|
|
Style Transfer (SP)
|
100% |
3601
4.63 IPS |
|
|
Style Transfer (HP)
|
100% |
2880
3.70 IPS |
|
|
Style Transfer (Q)
|
98% |
2872
3.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
718
26.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
577
21.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
578
21.4 IPS |
|
|
Text Classification (SP)
|
100% |
226
301.3 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.4 IPS |
|
|
Text Classification (Q)
|
91% |
391
525.7 IPS |
|
|
Machine Translation (SP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
57% |
330
8.05 IPS |
