samsung SM-A556B
Geekbench AI Score
369
Single Precision Score
617
Half Precision Score
488
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 03:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A556B |
| Model ID | samsung SM-A556B |
| 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% |
143
26.7 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.8 IPS |
|
|
Image Classification (Q)
|
100% |
223
41.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
725
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
697
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1799
2.10 IPS |
|
|
Pose Estimation (HP)
|
99% |
4149
4.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
4129
4.84 IPS |
|
|
Object Detection (SP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (HP)
|
99% |
290
23.0 IPS |
|
|
Object Detection (Q)
|
85% |
235
18.9 IPS |
|
|
Face Detection (SP)
|
100% |
838
9.95 IPS |
|
|
Face Detection (HP)
|
100% |
1540
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
1196
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1201
9.25 IPS |
|
|
Depth Estimation (HP)
|
98% |
2105
16.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
1583
15.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3467
4.46 IPS |
|
|
Style Transfer (HP)
|
100% |
6154
7.91 IPS |
|
|
Style Transfer (Q)
|
98% |
6072
7.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
576
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
616
22.8 IPS |
|
|
Text Classification (SP)
|
35% |
9
82.6 IPS |
|
|
Text Classification (HP)
|
35% |
15
138.1 IPS |
|
|
Text Classification (Q)
|
33% |
11
135.1 IPS |
|
|
Machine Translation (SP)
|
100% |
134
2.31 IPS |
|
|
Machine Translation (HP)
|
100% |
175
3.01 IPS |
|
|
Machine Translation (Q)
|
48% |
66
2.53 IPS |
