samsung SM-A556E
Geekbench AI Score
966
Single Precision Score
956
Half Precision Score
1852
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Seb_Vince |
| Upload Date | July 13 2025 01:14 PM |
| Views | 9 |
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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
489
90.9 IPS |
|
|
Image Classification (HP)
|
100% |
475
88.4 IPS |
|
|
Image Classification (Q)
|
100% |
1583
294.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
570
9.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
560
9.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
632
10.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2158
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2155
2.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
4238
5.03 IPS |
|
|
Object Detection (SP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (HP)
|
100% |
501
39.8 IPS |
|
|
Object Detection (Q)
|
83% |
1544
124.7 IPS |
|
|
Face Detection (SP)
|
100% |
1235
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1237
14.7 IPS |
|
|
Face Detection (Q)
|
95% |
3400
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1481
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1645
12.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3305
30.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3885
5.04 IPS |
|
|
Style Transfer (HP)
|
89% |
3824
4.96 IPS |
|
|
Style Transfer (Q)
|
98% |
8779
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
916
33.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
853
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1852
68.6 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.3 IPS |
|
|
Text Classification (HP)
|
100% |
448
597.8 IPS |
|
|
Text Classification (Q)
|
88% |
814
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
775
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (Q)
|
50% |
488
17.3 IPS |
