Samsung Galaxy A16
Geekbench AI Score
313
Single Precision Score
657
Half Precision Score
603
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Coolooooooo |
| Upload Date | March 05 2026 10:20 AM |
| Views | 4 |
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% |
84
15.6 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.4 IPS |
|
|
Image Classification (Q)
|
99% |
267
49.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
98
1.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
183
2.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
264
4.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
756
0.88 IPS |
|
|
Pose Estimation (HP)
|
92% |
2363
2.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
813
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
83
6.56 IPS |
|
|
Object Detection (HP)
|
97% |
176
14.0 IPS |
|
|
Object Detection (Q)
|
85% |
260
20.9 IPS |
|
|
Face Detection (SP)
|
100% |
200
2.37 IPS |
|
|
Face Detection (HP)
|
100% |
1247
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
467
5.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1030
7.94 IPS |
|
|
Depth Estimation (HP)
|
98% |
1771
13.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
1393
12.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1858
2.41 IPS |
|
|
Style Transfer (HP)
|
88% |
2448
3.18 IPS |
|
|
Style Transfer (Q)
|
98% |
3365
4.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
875
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
856
31.7 IPS |
|
|
Text Classification (SP)
|
100% |
239
318.8 IPS |
|
|
Text Classification (HP)
|
100% |
385
514.4 IPS |
|
|
Text Classification (Q)
|
93% |
501
673.1 IPS |
|
|
Machine Translation (SP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (HP)
|
96% |
576
9.95 IPS |
|
|
Machine Translation (Q)
|
55% |
456
12.2 IPS |
