Samsung Galaxy A16
Geekbench AI Score
344
Single Precision Score
599
Half Precision Score
677
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Coolooooooo |
| Upload Date | March 04 2026 08:54 PM |
| Views | 3 |
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% |
142
26.4 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.1 IPS |
|
|
Image Classification (Q)
|
99% |
457
85.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
520
8.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
697
0.81 IPS |
|
|
Pose Estimation (HP)
|
92% |
1415
1.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
1038
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (HP)
|
97% |
279
22.2 IPS |
|
|
Object Detection (Q)
|
85% |
416
33.5 IPS |
|
|
Face Detection (SP)
|
100% |
557
6.61 IPS |
|
|
Face Detection (HP)
|
100% |
942
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
1006
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
647
4.99 IPS |
|
|
Depth Estimation (HP)
|
98% |
1290
9.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
972
8.97 IPS |
|
|
Style Transfer (SP)
|
89% |
1302
1.69 IPS |
|
|
Style Transfer (HP)
|
88% |
1719
2.23 IPS |
|
|
Style Transfer (Q)
|
98% |
2696
3.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
345
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
612
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
601
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.0 IPS |
|
|
Text Classification (HP)
|
100% |
265
353.1 IPS |
|
|
Text Classification (Q)
|
93% |
365
490.7 IPS |
|
|
Machine Translation (SP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (HP)
|
96% |
435
7.52 IPS |
|
|
Machine Translation (Q)
|
55% |
344
9.24 IPS |
