samsung SM-S156V
Geekbench AI Score
299
Single Precision Score
502
Half Precision Score
433
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kvnsalters |
| Upload Date | December 12 2025 11:14 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
197
36.6 IPS |
|
|
Image Classification (HP)
|
100% |
333
61.9 IPS |
|
|
Image Classification (Q)
|
97% |
315
58.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
261
4.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
583
9.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
534
8.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
948
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1894
2.21 IPS |
|
|
Pose Estimation (Q)
|
95% |
1906
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (HP)
|
99% |
283
22.4 IPS |
|
|
Object Detection (Q)
|
83% |
314
25.4 IPS |
|
|
Face Detection (SP)
|
100% |
586
6.97 IPS |
|
|
Face Detection (HP)
|
100% |
1208
14.4 IPS |
|
|
Face Detection (Q)
|
96% |
1031
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
769
5.93 IPS |
|
|
Depth Estimation (HP)
|
98% |
1418
11.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
1060
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1778
2.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3730
4.79 IPS |
|
|
Style Transfer (Q)
|
98% |
3940
5.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
468
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
813
30.1 IPS |
|
|
Text Classification (SP)
|
35% |
9
82.7 IPS |
|
|
Text Classification (HP)
|
29% |
7
129.2 IPS |
|
|
Text Classification (Q)
|
31% |
9
125.8 IPS |
|
|
Machine Translation (SP)
|
100% |
222
3.83 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (Q)
|
43% |
74
4.28 IPS |
