samsung SM-A556E
Geekbench AI Score
949
Single Precision Score
946
Half Precision Score
1921
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 02:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
506
94.0 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.5 IPS |
|
|
Image Classification (Q)
|
100% |
1609
299.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
601
9.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
1857
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2134
2.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2002
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
3190
3.78 IPS |
|
|
Object Detection (SP)
|
100% |
443
35.1 IPS |
|
|
Object Detection (HP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (Q)
|
83% |
1363
110.1 IPS |
|
|
Face Detection (SP)
|
100% |
1209
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1199
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
3192
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1606
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1647
12.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3078
28.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3425
4.45 IPS |
|
|
Style Transfer (HP)
|
89% |
3522
4.57 IPS |
|
|
Style Transfer (Q)
|
98% |
7699
9.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
872
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
878
32.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1781
66.0 IPS |
|
|
Text Classification (SP)
|
100% |
461
615.2 IPS |
|
|
Text Classification (HP)
|
100% |
456
608.9 IPS |
|
|
Text Classification (Q)
|
88% |
816
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
480
17.0 IPS |
