samsung SM-A556E
Geekbench AI Score
889
Single Precision Score
887
Half Precision Score
1757
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 04:45 AM |
| Views | 2 |
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% |
412
76.6 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (Q)
|
100% |
1235
229.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
520
8.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
516
8.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
1443
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2019
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1952
2.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
3197
3.79 IPS |
|
|
Object Detection (SP)
|
100% |
413
32.8 IPS |
|
|
Object Detection (HP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (Q)
|
83% |
1207
97.5 IPS |
|
|
Face Detection (SP)
|
100% |
1174
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1174
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
2912
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1552
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1615
12.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2905
26.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3444
4.47 IPS |
|
|
Style Transfer (HP)
|
89% |
3452
4.48 IPS |
|
|
Style Transfer (Q)
|
98% |
7500
9.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
878
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
879
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1767
65.5 IPS |
|
|
Text Classification (SP)
|
100% |
444
592.9 IPS |
|
|
Text Classification (HP)
|
100% |
440
586.8 IPS |
|
|
Text Classification (Q)
|
88% |
801
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (Q)
|
50% |
456
16.2 IPS |
