samsung SM-M156B
Geekbench AI Score
476
Single Precision Score
472
Half Precision Score
880
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 10 2025 09:03 PM |
| Views | 4 |
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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
204
37.8 IPS |
|
|
Image Classification (HP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (Q)
|
100% |
608
113.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
261
4.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
262
4.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
689
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1026
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1024
1.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
1555
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
83% |
606
49.0 IPS |
|
|
Face Detection (SP)
|
100% |
702
8.34 IPS |
|
|
Face Detection (HP)
|
100% |
701
8.32 IPS |
|
|
Face Detection (Q)
|
95% |
1325
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
903
6.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
868
6.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
1364
12.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1750
2.27 IPS |
|
|
Style Transfer (HP)
|
89% |
1685
2.19 IPS |
|
|
Style Transfer (Q)
|
98% |
3437
4.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
821
30.4 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.7 IPS |
|
|
Text Classification (HP)
|
100% |
247
330.3 IPS |
|
|
Text Classification (Q)
|
88% |
463
624.3 IPS |
|
|
Machine Translation (SP)
|
100% |
443
7.64 IPS |
|
|
Machine Translation (HP)
|
100% |
420
7.24 IPS |
|
|
Machine Translation (Q)
|
50% |
301
10.7 IPS |
