samsung SM-A556E
Geekbench AI Score
392
Single Precision Score
661
Half Precision Score
539
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 09:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
213
39.7 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.5 IPS |
|
|
Image Classification (Q)
|
100% |
320
59.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
319
5.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
576
9.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
554
9.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
1432
1.67 IPS |
|
|
Pose Estimation (HP)
|
99% |
3239
3.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
3222
3.78 IPS |
|
|
Object Detection (SP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (HP)
|
99% |
291
23.1 IPS |
|
|
Object Detection (Q)
|
85% |
272
21.9 IPS |
|
|
Face Detection (SP)
|
100% |
746
8.86 IPS |
|
|
Face Detection (HP)
|
100% |
1211
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
1087
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
961
7.40 IPS |
|
|
Depth Estimation (HP)
|
98% |
1729
13.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
1342
13.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2731
3.51 IPS |
|
|
Style Transfer (HP)
|
100% |
4802
6.17 IPS |
|
|
Style Transfer (Q)
|
98% |
4606
5.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
525
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
832
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
802
29.7 IPS |
|
|
Text Classification (SP)
|
35% |
23
211.2 IPS |
|
|
Text Classification (HP)
|
35% |
32
292.2 IPS |
|
|
Text Classification (Q)
|
33% |
23
272.2 IPS |
|
|
Machine Translation (SP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.34 IPS |
|
|
Machine Translation (Q)
|
48% |
108
4.15 IPS |
