samsung SM-S156V
Geekbench AI Score
469
Single Precision Score
469
Half Precision Score
869
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kvnsalters |
| Upload Date | November 07 2025 12:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S156V |
| Model ID | samsung SM-S156V |
| 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 | 3.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
204
37.8 IPS |
|
|
Image Classification (HP)
|
100% |
206
38.3 IPS |
|
|
Image Classification (Q)
|
100% |
607
112.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
263
4.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
264
4.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
678
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
949
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
912
1.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
1516
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (Q)
|
83% |
525
42.4 IPS |
|
|
Face Detection (SP)
|
100% |
578
6.87 IPS |
|
|
Face Detection (HP)
|
100% |
710
8.44 IPS |
|
|
Face Detection (Q)
|
95% |
1201
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
902
6.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
795
6.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
1428
13.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1756
2.28 IPS |
|
|
Style Transfer (HP)
|
89% |
1758
2.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3580
4.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
469
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
467
17.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
859
31.8 IPS |
|
|
Text Classification (SP)
|
100% |
252
336.5 IPS |
|
|
Text Classification (HP)
|
100% |
252
336.7 IPS |
|
|
Text Classification (Q)
|
88% |
446
601.8 IPS |
|
|
Machine Translation (SP)
|
100% |
448
7.71 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (Q)
|
50% |
320
11.4 IPS |
