samsung SM-A556E
Geekbench AI Score
1008
Single Precision Score
1008
Half Precision Score
2077
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | roberotto |
| Upload Date | October 16 2025 12:44 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A556E |
| Model ID | samsung SM-A556E |
| 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 | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
516
95.9 IPS |
|
|
Image Classification (HP)
|
100% |
521
96.8 IPS |
|
|
Image Classification (Q)
|
100% |
1633
303.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
1889
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2315
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2264
2.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
3949
4.68 IPS |
|
|
Object Detection (SP)
|
100% |
512
40.6 IPS |
|
|
Object Detection (HP)
|
100% |
511
40.5 IPS |
|
|
Object Detection (Q)
|
83% |
1499
121.1 IPS |
|
|
Face Detection (SP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1252
14.9 IPS |
|
|
Face Detection (Q)
|
95% |
3509
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1695
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1726
13.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3190
29.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3767
4.89 IPS |
|
|
Style Transfer (HP)
|
89% |
3753
4.87 IPS |
|
|
Style Transfer (Q)
|
98% |
8430
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
946
34.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
940
34.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2006
74.3 IPS |
|
|
Text Classification (SP)
|
100% |
477
636.7 IPS |
|
|
Text Classification (HP)
|
100% |
493
657.7 IPS |
|
|
Text Classification (Q)
|
88% |
913
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (Q)
|
50% |
475
16.9 IPS |
