Samsung Galaxy A16
Geekbench AI Score
308
Single Precision Score
492
Half Precision Score
416
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Coolooooooo |
| Upload Date | March 05 2026 04:20 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
156
29.0 IPS |
|
|
Image Classification (HP)
|
100% |
309
57.4 IPS |
|
|
Image Classification (Q)
|
97% |
279
52.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
582
9.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
551
8.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
1144
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2170
2.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
2129
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
99% |
370
29.3 IPS |
|
|
Object Detection (Q)
|
83% |
345
27.9 IPS |
|
|
Face Detection (SP)
|
100% |
661
7.85 IPS |
|
|
Face Detection (HP)
|
100% |
1308
15.5 IPS |
|
|
Face Detection (Q)
|
96% |
1134
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
827
6.37 IPS |
|
|
Depth Estimation (HP)
|
98% |
1571
12.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
1235
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1843
2.37 IPS |
|
|
Style Transfer (HP)
|
100% |
4061
5.22 IPS |
|
|
Style Transfer (Q)
|
98% |
4031
5.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
470
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
833
30.9 IPS |
|
|
Text Classification (SP)
|
35% |
11
100.1 IPS |
|
|
Text Classification (HP)
|
29% |
4
71.4 IPS |
|
|
Text Classification (Q)
|
32% |
6
72.9 IPS |
|
|
Machine Translation (SP)
|
100% |
166
2.85 IPS |
|
|
Machine Translation (HP)
|
100% |
203
3.49 IPS |
|
|
Machine Translation (Q)
|
43% |
49
2.85 IPS |
