samsung SM-A156M
Geekbench AI Score
487
Single Precision Score
483
Half Precision Score
911
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 02 2025 09:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A156M |
| Model ID | samsung SM-A156M |
| Motherboard | a15x |
| 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% |
216
40.1 IPS |
|
|
Image Classification (HP)
|
100% |
215
39.9 IPS |
|
|
Image Classification (Q)
|
100% |
627
116.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
269
4.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
270
4.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
693
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1053
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1054
1.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
1605
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
83% |
625
50.5 IPS |
|
|
Face Detection (SP)
|
100% |
706
8.39 IPS |
|
|
Face Detection (HP)
|
100% |
701
8.33 IPS |
|
|
Face Detection (Q)
|
95% |
1432
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
895
6.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
872
6.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
1431
13.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1805
2.34 IPS |
|
|
Style Transfer (HP)
|
89% |
1760
2.29 IPS |
|
|
Style Transfer (Q)
|
98% |
3633
4.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
467
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
464
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
852
31.6 IPS |
|
|
Text Classification (SP)
|
100% |
247
329.3 IPS |
|
|
Text Classification (HP)
|
100% |
244
325.9 IPS |
|
|
Text Classification (Q)
|
88% |
448
603.6 IPS |
|
|
Machine Translation (SP)
|
100% |
448
7.71 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.57 IPS |
|
|
Machine Translation (Q)
|
50% |
318
11.3 IPS |
