samsung SM-A556B
Geekbench AI Score
953
Single Precision Score
950
Half Precision Score
1950
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 26 2025 10:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
511
95.0 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.0 IPS |
|
|
Image Classification (Q)
|
100% |
1664
309.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
600
9.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
1909
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2181
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1984
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
3446
4.09 IPS |
|
|
Object Detection (SP)
|
100% |
443
35.2 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
83% |
1377
111.2 IPS |
|
|
Face Detection (SP)
|
100% |
1212
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1211
14.4 IPS |
|
|
Face Detection (Q)
|
95% |
2972
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1617
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1660
12.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2961
27.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3439
4.46 IPS |
|
|
Style Transfer (HP)
|
89% |
3447
4.47 IPS |
|
|
Style Transfer (Q)
|
98% |
7468
9.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
875
32.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
886
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1876
69.5 IPS |
|
|
Text Classification (SP)
|
100% |
483
645.1 IPS |
|
|
Text Classification (HP)
|
100% |
479
639.9 IPS |
|
|
Text Classification (Q)
|
88% |
892
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
481
17.1 IPS |
