samsung SM-A556E
Geekbench AI Score
885
Single Precision Score
883
Half Precision Score
1745
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 05:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
406
75.6 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.1 IPS |
|
|
Image Classification (Q)
|
100% |
1234
229.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
514
8.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
515
8.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
1435
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1966
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1975
2.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
3197
3.79 IPS |
|
|
Object Detection (SP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (Q)
|
83% |
1193
96.4 IPS |
|
|
Face Detection (SP)
|
100% |
1159
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1161
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
2917
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1602
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1610
12.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2913
26.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3469
4.50 IPS |
|
|
Style Transfer (HP)
|
89% |
3468
4.50 IPS |
|
|
Style Transfer (Q)
|
98% |
7421
9.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
875
32.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
872
32.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1732
64.2 IPS |
|
|
Text Classification (SP)
|
100% |
439
586.1 IPS |
|
|
Text Classification (HP)
|
100% |
440
587.9 IPS |
|
|
Text Classification (Q)
|
88% |
772
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
461
16.4 IPS |
