samsung SM-A556B
Geekbench AI Score
411
Single Precision Score
649
Half Precision Score
512
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | supergordon |
| Upload Date | November 14 2025 10:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (HP)
|
100% |
269
50.1 IPS |
|
|
Image Classification (Q)
|
100% |
237
44.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
762
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
703
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1748
2.04 IPS |
|
|
Pose Estimation (HP)
|
99% |
4071
4.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
4039
4.73 IPS |
|
|
Object Detection (SP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (HP)
|
99% |
317
25.1 IPS |
|
|
Object Detection (Q)
|
85% |
243
19.6 IPS |
|
|
Face Detection (SP)
|
100% |
857
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
1375
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
1172
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1149
8.86 IPS |
|
|
Depth Estimation (HP)
|
98% |
2097
16.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
1569
15.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3427
4.40 IPS |
|
|
Style Transfer (HP)
|
100% |
6056
7.79 IPS |
|
|
Style Transfer (Q)
|
98% |
5882
7.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
614
22.8 IPS |
|
|
Text Classification (SP)
|
35% |
16
141.0 IPS |
|
|
Text Classification (HP)
|
35% |
20
180.9 IPS |
|
|
Text Classification (Q)
|
33% |
15
184.3 IPS |
|
|
Machine Translation (SP)
|
100% |
150
2.58 IPS |
|
|
Machine Translation (HP)
|
100% |
214
3.68 IPS |
|
|
Machine Translation (Q)
|
48% |
77
2.97 IPS |
