Samsung Galaxy A16
Geekbench AI Score
375
Single Precision Score
635
Half Precision Score
743
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Coolooooooo |
| Upload Date | March 04 2026 10:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
131
24.5 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.3 IPS |
|
|
Image Classification (Q)
|
99% |
448
83.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
204
3.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
515
8.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
769
0.90 IPS |
|
|
Pose Estimation (HP)
|
92% |
1522
1.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
1210
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
176
14.0 IPS |
|
|
Object Detection (HP)
|
97% |
309
24.6 IPS |
|
|
Object Detection (Q)
|
85% |
471
37.9 IPS |
|
|
Face Detection (SP)
|
100% |
601
7.14 IPS |
|
|
Face Detection (HP)
|
100% |
905
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
1171
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
815
6.28 IPS |
|
|
Depth Estimation (HP)
|
98% |
1389
10.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
1128
10.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1359
1.76 IPS |
|
|
Style Transfer (HP)
|
88% |
1828
2.37 IPS |
|
|
Style Transfer (Q)
|
98% |
3023
3.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
405
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
699
26.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
655
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
178
238.2 IPS |
|
|
Text Classification (HP)
|
100% |
306
409.0 IPS |
|
|
Text Classification (Q)
|
93% |
412
552.6 IPS |
|
|
Machine Translation (SP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (HP)
|
96% |
448
7.75 IPS |
|
|
Machine Translation (Q)
|
55% |
364
9.79 IPS |
