samsung SM-A556E
Geekbench AI Score
922
Single Precision Score
917
Half Precision Score
1833
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 10 2025 09:01 PM |
| Views | 4 |
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% |
479
89.0 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.3 IPS |
|
|
Image Classification (Q)
|
100% |
1489
276.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
563
9.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
555
9.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
1625
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2072
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1971
2.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
3263
3.87 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (HP)
|
100% |
432
34.3 IPS |
|
|
Object Detection (Q)
|
83% |
1206
97.4 IPS |
|
|
Face Detection (SP)
|
100% |
1179
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1183
14.1 IPS |
|
|
Face Detection (Q)
|
95% |
2954
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1624
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1613
12.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2928
26.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3438
4.46 IPS |
|
|
Style Transfer (HP)
|
89% |
3451
4.48 IPS |
|
|
Style Transfer (Q)
|
98% |
7542
9.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
884
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1783
66.1 IPS |
|
|
Text Classification (SP)
|
100% |
420
561.0 IPS |
|
|
Text Classification (HP)
|
100% |
445
594.2 IPS |
|
|
Text Classification (Q)
|
88% |
846
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
458
16.3 IPS |
