samsung SM-S156V
Geekbench AI Score
479
Single Precision Score
478
Half Precision Score
886
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kvnsalters |
| Upload Date | December 12 2025 12:20 AM |
| Views | 5 |
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% |
179
33.3 IPS |
|
|
Image Classification (HP)
|
100% |
189
35.1 IPS |
|
|
Image Classification (Q)
|
100% |
515
95.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
263
4.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
665
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1018
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1035
1.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
1566
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
83% |
601
48.5 IPS |
|
|
Face Detection (SP)
|
100% |
712
8.47 IPS |
|
|
Face Detection (HP)
|
100% |
713
8.47 IPS |
|
|
Face Detection (Q)
|
95% |
1419
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
917
7.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
860
6.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
1439
13.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1775
2.30 IPS |
|
|
Style Transfer (HP)
|
89% |
1773
2.30 IPS |
|
|
Style Transfer (Q)
|
98% |
3596
4.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
468
17.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
855
31.7 IPS |
|
|
Text Classification (SP)
|
100% |
261
347.7 IPS |
|
|
Text Classification (HP)
|
100% |
254
338.6 IPS |
|
|
Text Classification (Q)
|
88% |
458
618.1 IPS |
|
|
Machine Translation (SP)
|
100% |
450
7.75 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (Q)
|
50% |
324
11.5 IPS |
