samsung SM-A5560
Geekbench AI Score
928
Single Precision Score
921
Half Precision Score
1768
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 05 2025 06:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A5560 |
| Model ID | samsung SM-A5560 |
| Motherboard | s5e8845 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 2.05 GHz |
| Cluster 1 | 4 Cores @ 2.05 GHz |
| Cluster 2 | 4 Cores @ 2.75 GHz |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
519
96.5 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.6 IPS |
|
|
Image Classification (Q)
|
100% |
1559
290.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
599
9.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
1510
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1997
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1973
2.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
3205
3.80 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (Q)
|
83% |
1217
98.3 IPS |
|
|
Face Detection (SP)
|
100% |
1202
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1202
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
2962
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1628
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1621
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2791
25.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3444
4.47 IPS |
|
|
Style Transfer (HP)
|
89% |
3358
4.36 IPS |
|
|
Style Transfer (Q)
|
98% |
7205
9.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
868
32.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
877
32.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1695
62.8 IPS |
|
|
Text Classification (SP)
|
100% |
432
577.2 IPS |
|
|
Text Classification (HP)
|
100% |
427
570.2 IPS |
|
|
Text Classification (Q)
|
88% |
746
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
432
15.3 IPS |
