Samsung Galaxy A16
Geekbench AI Score
145
Single Precision Score
143
Half Precision Score
332
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Coolooooooo |
| Upload Date | March 04 2026 09:44 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 1330 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy A16 |
| Model ID | samsung SM-A166B |
| Motherboard | s5e8535 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
112
20.9 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.7 IPS |
|
|
Image Classification (Q)
|
99% |
252
47.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
129
2.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
132
2.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
270
4.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
151
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
141
0.17 IPS |
|
|
Pose Estimation (Q)
|
98% |
533
0.62 IPS |
|
|
Object Detection (SP)
|
100% |
78
6.23 IPS |
|
|
Object Detection (HP)
|
100% |
78
6.22 IPS |
|
|
Object Detection (Q)
|
87% |
218
17.5 IPS |
|
|
Face Detection (SP)
|
100% |
222
2.64 IPS |
|
|
Face Detection (HP)
|
100% |
215
2.55 IPS |
|
|
Face Detection (Q)
|
97% |
453
5.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
181
1.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
181
1.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
430
3.90 IPS |
|
|
Style Transfer (SP)
|
100% |
326
0.42 IPS |
|
|
Style Transfer (HP)
|
100% |
323
0.41 IPS |
|
|
Style Transfer (Q)
|
98% |
885
1.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
87
3.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
87
3.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
294
10.9 IPS |
|
|
Text Classification (SP)
|
100% |
109
145.8 IPS |
|
|
Text Classification (HP)
|
100% |
114
152.7 IPS |
|
|
Text Classification (Q)
|
91% |
217
292.2 IPS |
|
|
Machine Translation (SP)
|
100% |
207
3.57 IPS |
|
|
Machine Translation (HP)
|
100% |
196
3.38 IPS |
|
|
Machine Translation (Q)
|
57% |
188
4.60 IPS |
