samsung SM-A556E
Geekbench AI Score
929
Single Precision Score
912
Half Precision Score
1809
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 05 2025 12:25 AM |
| Views | 1 |
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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
496
92.2 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.7 IPS |
|
|
Image Classification (Q)
|
100% |
1573
292.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
599
9.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
544
8.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1553
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2075
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1981
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
3202
3.80 IPS |
|
|
Object Detection (SP)
|
100% |
430
34.1 IPS |
|
|
Object Detection (HP)
|
100% |
418
33.2 IPS |
|
|
Object Detection (Q)
|
83% |
1206
97.4 IPS |
|
|
Face Detection (SP)
|
100% |
1162
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
2854
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1614
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1611
12.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2924
26.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3409
4.43 IPS |
|
|
Style Transfer (HP)
|
89% |
3431
4.45 IPS |
|
|
Style Transfer (Q)
|
98% |
7486
9.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
894
33.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
896
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1775
65.8 IPS |
|
|
Text Classification (SP)
|
100% |
445
594.2 IPS |
|
|
Text Classification (HP)
|
100% |
440
587.7 IPS |
|
|
Text Classification (Q)
|
88% |
791
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
454
16.1 IPS |
