samsung SM-M156B
Geekbench AI Score
481
Single Precision Score
474
Half Precision Score
911
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | November 17 2025 01:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-M156B |
| Model ID | samsung SM-M156B |
| Motherboard | m15x |
| 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 | 3.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
215
39.9 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (Q)
|
100% |
622
115.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
263
4.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
262
4.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
694
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1034
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1019
1.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
1574
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
83% |
603
48.7 IPS |
|
|
Face Detection (SP)
|
100% |
708
8.41 IPS |
|
|
Face Detection (HP)
|
100% |
707
8.40 IPS |
|
|
Face Detection (Q)
|
95% |
1427
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
807
6.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
741
5.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
1447
13.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1754
2.28 IPS |
|
|
Style Transfer (HP)
|
89% |
1769
2.30 IPS |
|
|
Style Transfer (Q)
|
98% |
3611
4.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
463
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
468
17.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
868
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
255
340.9 IPS |
|
|
Text Classification (HP)
|
100% |
251
335.6 IPS |
|
|
Text Classification (Q)
|
88% |
466
628.1 IPS |
|
|
Machine Translation (SP)
|
100% |
455
7.83 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
50% |
320
11.4 IPS |
