samsung SM-S156V
Geekbench AI Score
205
Single Precision Score
284
Half Precision Score
200
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 01 2025 10:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
116
21.5 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.3 IPS |
|
|
Image Classification (Q)
|
97% |
52
9.70 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
133
2.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
88
1.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
807
0.94 IPS |
|
|
Pose Estimation (HP)
|
98% |
1842
2.16 IPS |
|
|
Pose Estimation (Q)
|
70% |
1084
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
95
7.52 IPS |
|
|
Object Detection (Q)
|
80% |
87
7.08 IPS |
|
|
Face Detection (SP)
|
28% |
34
6.31 IPS |
|
|
Face Detection (HP)
|
100% |
249
2.96 IPS |
|
|
Face Detection (Q)
|
97% |
133
1.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
351
2.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
202
1.56 IPS |
|
|
Depth Estimation (Q)
|
57% |
255
2.78 IPS |
|
|
Style Transfer (SP)
|
100% |
673
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
346
0.44 IPS |
|
|
Style Transfer (Q)
|
98% |
1639
2.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
341
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
720
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
424
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
87
116.2 IPS |
|
|
Text Classification (HP)
|
100% |
157
209.9 IPS |
|
|
Text Classification (Q)
|
93% |
91
121.6 IPS |
|
|
Machine Translation (SP)
|
100% |
203
3.49 IPS |
|
|
Machine Translation (HP)
|
100% |
216
3.73 IPS |
|
|
Machine Translation (Q)
|
55% |
113
3.00 IPS |
