samsung SM-A556E
Geekbench AI Score
894
Single Precision Score
893
Half Precision Score
1845
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 08:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
503
93.6 IPS |
|
|
Image Classification (HP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (Q)
|
100% |
1603
298.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
540
8.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
581
9.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
1438
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2044
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1870
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
3171
3.76 IPS |
|
|
Object Detection (SP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (HP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (Q)
|
83% |
1169
94.4 IPS |
|
|
Face Detection (SP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
953
11.3 IPS |
|
|
Face Detection (Q)
|
95% |
2850
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1458
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1630
12.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2959
27.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3455
4.48 IPS |
|
|
Style Transfer (HP)
|
89% |
3327
4.32 IPS |
|
|
Style Transfer (Q)
|
98% |
8742
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
825
30.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
806
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1738
64.4 IPS |
|
|
Text Classification (SP)
|
100% |
436
582.6 IPS |
|
|
Text Classification (HP)
|
100% |
506
676.0 IPS |
|
|
Text Classification (Q)
|
88% |
821
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
729
12.5 IPS |
|
|
Machine Translation (Q)
|
50% |
511
18.1 IPS |
