samsung SM-S156V
Geekbench AI Score
317
Single Precision Score
529
Half Precision Score
449
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | daviangel |
| Upload Date | November 02 2025 03:43 AM |
| Views | 7 |
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% |
167
31.1 IPS |
|
|
Image Classification (HP)
|
100% |
328
61.0 IPS |
|
|
Image Classification (Q)
|
97% |
367
68.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
269
4.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
567
9.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
529
8.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
1144
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2100
2.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
1839
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (HP)
|
99% |
333
26.4 IPS |
|
|
Object Detection (Q)
|
83% |
327
26.4 IPS |
|
|
Face Detection (SP)
|
100% |
612
7.27 IPS |
|
|
Face Detection (HP)
|
100% |
1295
15.4 IPS |
|
|
Face Detection (Q)
|
96% |
1201
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
793
6.11 IPS |
|
|
Depth Estimation (HP)
|
98% |
1492
11.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
1189
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1854
2.38 IPS |
|
|
Style Transfer (HP)
|
100% |
4035
5.19 IPS |
|
|
Style Transfer (Q)
|
98% |
3933
5.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
487
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
812
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
772
28.6 IPS |
|
|
Text Classification (SP)
|
35% |
11
97.6 IPS |
|
|
Text Classification (HP)
|
29% |
7
126.2 IPS |
|
|
Text Classification (Q)
|
31% |
9
123.1 IPS |
|
|
Machine Translation (SP)
|
100% |
253
4.36 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.19 IPS |
|
|
Machine Translation (Q)
|
43% |
74
4.29 IPS |
