samsung SM-A556B
Geekbench AI Score
1059
Single Precision Score
1059
Half Precision Score
2268
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | eldavido |
| Upload Date | December 22 2024 01:58 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A556B |
| Model ID | samsung SM-A556B |
| 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% |
526
97.9 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.7 IPS |
|
|
Image Classification (Q)
|
100% |
1660
308.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
626
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1900
30.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2330
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2371
2.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
3957
4.69 IPS |
|
|
Object Detection (SP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (HP)
|
100% |
490
38.9 IPS |
|
|
Object Detection (Q)
|
83% |
1484
119.9 IPS |
|
|
Face Detection (SP)
|
100% |
1289
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
1294
15.4 IPS |
|
|
Face Detection (Q)
|
95% |
3825
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1751
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1816
14.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3847
35.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4172
5.42 IPS |
|
|
Style Transfer (HP)
|
89% |
4191
5.44 IPS |
|
|
Style Transfer (Q)
|
98% |
9769
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
996
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
987
36.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2253
83.5 IPS |
|
|
Text Classification (SP)
|
100% |
567
757.2 IPS |
|
|
Text Classification (HP)
|
100% |
551
735.9 IPS |
|
|
Text Classification (Q)
|
88% |
1076
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (Q)
|
50% |
558
19.8 IPS |
