samsung SM-A556E
Geekbench AI Score
972
Single Precision Score
965
Half Precision Score
1937
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 09:52 PM |
| Views | 2 |
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% |
500
92.9 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.4 IPS |
|
|
Image Classification (Q)
|
100% |
1606
298.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
610
9.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
1761
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2218
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2090
2.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
3359
3.98 IPS |
|
|
Object Detection (SP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (HP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (Q)
|
83% |
1366
110.3 IPS |
|
|
Face Detection (SP)
|
100% |
1237
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (Q)
|
95% |
3214
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1693
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1708
13.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3204
29.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3706
4.81 IPS |
|
|
Style Transfer (HP)
|
89% |
3698
4.80 IPS |
|
|
Style Transfer (Q)
|
98% |
8190
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
883
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
855
31.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1703
63.1 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.7 IPS |
|
|
Text Classification (HP)
|
100% |
461
615.3 IPS |
|
|
Text Classification (Q)
|
88% |
823
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
769
13.3 IPS |
|
|
Machine Translation (Q)
|
50% |
487
17.3 IPS |
