samsung SM-A156B
Geekbench AI Score
318
Single Precision Score
579
Half Precision Score
460
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 27 2025 05:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A156B |
| Model ID | samsung SM-A156B |
| Motherboard | a15x |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
193
35.8 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.7 IPS |
|
|
Image Classification (Q)
|
97% |
390
72.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
263
4.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
574
9.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
528
8.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
1144
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2099
2.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
2080
2.44 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
99% |
347
27.5 IPS |
|
|
Object Detection (Q)
|
83% |
282
22.8 IPS |
|
|
Face Detection (SP)
|
100% |
612
7.28 IPS |
|
|
Face Detection (HP)
|
100% |
1309
15.6 IPS |
|
|
Face Detection (Q)
|
96% |
1208
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
797
6.14 IPS |
|
|
Depth Estimation (HP)
|
98% |
1547
12.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
1240
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1871
2.40 IPS |
|
|
Style Transfer (HP)
|
100% |
4111
5.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3960
5.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
472
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
814
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
878
32.5 IPS |
|
|
Text Classification (SP)
|
35% |
10
88.4 IPS |
|
|
Text Classification (HP)
|
29% |
10
165.5 IPS |
|
|
Text Classification (Q)
|
31% |
9
128.7 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.40 IPS |
|
|
Machine Translation (HP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (Q)
|
43% |
76
4.45 IPS |
