samsung SM-M156S
Geekbench AI Score
472
Single Precision Score
468
Half Precision Score
880
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | eunu |
| Upload Date | August 02 2025 02:12 PM |
| Views | 51 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
211
39.3 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.3 IPS |
|
|
Image Classification (Q)
|
100% |
634
118.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
265
4.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
265
4.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
681
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1002
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
982
1.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
1534
1.82 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (Q)
|
83% |
576
46.5 IPS |
|
|
Face Detection (SP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (HP)
|
100% |
682
8.11 IPS |
|
|
Face Detection (Q)
|
95% |
1350
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
840
6.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
856
6.60 IPS |
|
|
Depth Estimation (Q)
|
64% |
1381
12.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1691
2.20 IPS |
|
|
Style Transfer (HP)
|
89% |
1675
2.17 IPS |
|
|
Style Transfer (Q)
|
98% |
3471
4.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
459
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
829
30.7 IPS |
|
|
Text Classification (SP)
|
100% |
238
317.7 IPS |
|
|
Text Classification (HP)
|
100% |
238
317.3 IPS |
|
|
Text Classification (Q)
|
88% |
448
603.6 IPS |
|
|
Machine Translation (SP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (HP)
|
100% |
434
7.47 IPS |
|
|
Machine Translation (Q)
|
50% |
305
10.8 IPS |
