samsung SM-A556B
Geekbench AI Score
1057
Single Precision Score
1051
Half Precision Score
2311
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 04 2025 01:37 PM |
| Views | 1 |
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% |
499
92.8 IPS |
|
|
Image Classification (HP)
|
100% |
513
95.4 IPS |
|
|
Image Classification (Q)
|
100% |
1620
301.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
605
9.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1881
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2300
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2302
2.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
4338
5.14 IPS |
|
|
Object Detection (SP)
|
100% |
516
41.0 IPS |
|
|
Object Detection (HP)
|
100% |
514
40.8 IPS |
|
|
Object Detection (Q)
|
83% |
1554
125.5 IPS |
|
|
Face Detection (SP)
|
100% |
1271
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1278
15.2 IPS |
|
|
Face Detection (Q)
|
95% |
3748
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1783
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1775
13.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3911
35.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4184
5.43 IPS |
|
|
Style Transfer (HP)
|
89% |
4174
5.42 IPS |
|
|
Style Transfer (Q)
|
98% |
9919
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
981
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
987
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2336
86.5 IPS |
|
|
Text Classification (SP)
|
100% |
570
761.0 IPS |
|
|
Text Classification (HP)
|
100% |
557
743.2 IPS |
|
|
Text Classification (Q)
|
88% |
1123
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (Q)
|
50% |
556
19.7 IPS |
