samsung SM-M156S
Geekbench AI Score
485
Single Precision Score
483
Half Precision Score
909
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 12:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-M156S |
| Model ID | samsung SM-M156S |
| 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 | 5.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (HP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (Q)
|
100% |
628
116.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
266
4.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
267
4.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
698
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1034
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1025
1.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
1569
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
83% |
600
48.5 IPS |
|
|
Face Detection (SP)
|
100% |
702
8.35 IPS |
|
|
Face Detection (HP)
|
100% |
704
8.36 IPS |
|
|
Face Detection (Q)
|
95% |
1416
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
897
6.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
882
6.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
1443
13.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1762
2.29 IPS |
|
|
Style Transfer (HP)
|
89% |
1777
2.31 IPS |
|
|
Style Transfer (Q)
|
98% |
3615
4.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
463
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
870
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
256
341.5 IPS |
|
|
Text Classification (HP)
|
100% |
251
334.8 IPS |
|
|
Text Classification (Q)
|
88% |
456
614.4 IPS |
|
|
Machine Translation (SP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (Q)
|
50% |
320
11.3 IPS |
