samsung SM-A556E
Geekbench AI Score
838
Single Precision Score
843
Half Precision Score
1600
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Seb_Vince |
| Upload Date | March 04 2025 06:35 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
366
68.0 IPS |
|
|
Image Classification (HP)
|
100% |
401
74.6 IPS |
|
|
Image Classification (Q)
|
100% |
803
149.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
483
7.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
497
8.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
1317
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1778
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1720
2.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
2809
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (Q)
|
83% |
1223
98.8 IPS |
|
|
Face Detection (SP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1123
13.3 IPS |
|
|
Face Detection (Q)
|
95% |
3077
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1538
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1597
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2948
27.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3454
4.48 IPS |
|
|
Style Transfer (HP)
|
89% |
3606
4.68 IPS |
|
|
Style Transfer (Q)
|
98% |
7721
9.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
869
32.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
831
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1512
56.0 IPS |
|
|
Text Classification (SP)
|
100% |
408
544.6 IPS |
|
|
Text Classification (HP)
|
100% |
386
515.0 IPS |
|
|
Text Classification (Q)
|
88% |
698
941.5 IPS |
|
|
Machine Translation (SP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
410
14.6 IPS |
