samsung SM-M156B
Geekbench AI Score
277
Single Precision Score
497
Half Precision Score
417
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | November 17 2025 01:09 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
164
30.5 IPS |
|
|
Image Classification (HP)
|
100% |
277
51.5 IPS |
|
|
Image Classification (Q)
|
97% |
261
48.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
575
9.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
975
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2084
2.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
1865
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (HP)
|
99% |
274
21.8 IPS |
|
|
Object Detection (Q)
|
83% |
265
21.4 IPS |
|
|
Face Detection (SP)
|
100% |
529
6.28 IPS |
|
|
Face Detection (HP)
|
100% |
1200
14.3 IPS |
|
|
Face Detection (Q)
|
96% |
1025
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
680
5.24 IPS |
|
|
Depth Estimation (HP)
|
98% |
1369
10.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1107
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1738
2.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3739
4.81 IPS |
|
|
Style Transfer (Q)
|
98% |
3699
4.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
770
28.5 IPS |
|
|
Text Classification (SP)
|
35% |
9
85.9 IPS |
|
|
Text Classification (HP)
|
29% |
7
118.8 IPS |
|
|
Text Classification (Q)
|
31% |
9
122.6 IPS |
|
|
Machine Translation (SP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (Q)
|
43% |
75
4.36 IPS |
