samsung SM-A556E
Geekbench AI Score
1010
Single Precision Score
1018
Half Precision Score
2183
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 11:23 AM |
| Views | 5 |
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% |
516
95.9 IPS |
|
|
Image Classification (HP)
|
100% |
507
94.4 IPS |
|
|
Image Classification (Q)
|
100% |
1576
293.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
581
9.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
590
9.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
1895
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2199
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2228
2.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
4038
4.79 IPS |
|
|
Object Detection (SP)
|
100% |
472
37.4 IPS |
|
|
Object Detection (HP)
|
100% |
482
38.2 IPS |
|
|
Object Detection (Q)
|
83% |
1479
119.5 IPS |
|
|
Face Detection (SP)
|
100% |
1266
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1259
15.0 IPS |
|
|
Face Detection (Q)
|
95% |
3533
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1742
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1720
13.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3452
31.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3967
5.15 IPS |
|
|
Style Transfer (HP)
|
89% |
4044
5.25 IPS |
|
|
Style Transfer (Q)
|
98% |
9453
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
956
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
954
35.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2156
79.9 IPS |
|
|
Text Classification (SP)
|
100% |
522
696.2 IPS |
|
|
Text Classification (HP)
|
100% |
553
738.3 IPS |
|
|
Text Classification (Q)
|
88% |
1058
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (Q)
|
50% |
525
18.6 IPS |
