Samsung Galaxy A16
Geekbench AI Score
307
Single Precision Score
493
Half Precision Score
414
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Coolooooooo |
| Upload Date | March 04 2026 09:04 PM |
| Views | 4 |
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% |
153
28.4 IPS |
|
|
Image Classification (HP)
|
100% |
304
56.5 IPS |
|
|
Image Classification (Q)
|
97% |
280
52.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
243
3.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
546
8.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
1143
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2157
2.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
2128
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.9 IPS |
|
|
Object Detection (HP)
|
99% |
367
29.1 IPS |
|
|
Object Detection (Q)
|
83% |
343
27.7 IPS |
|
|
Face Detection (SP)
|
100% |
655
7.79 IPS |
|
|
Face Detection (HP)
|
100% |
1301
15.5 IPS |
|
|
Face Detection (Q)
|
96% |
1139
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
826
6.36 IPS |
|
|
Depth Estimation (HP)
|
98% |
1575
12.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
1240
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1848
2.38 IPS |
|
|
Style Transfer (HP)
|
100% |
4069
5.23 IPS |
|
|
Style Transfer (Q)
|
98% |
4009
5.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
470
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
854
31.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
832
30.8 IPS |
|
|
Text Classification (SP)
|
35% |
12
106.0 IPS |
|
|
Text Classification (HP)
|
29% |
4
65.7 IPS |
|
|
Text Classification (Q)
|
32% |
6
74.0 IPS |
|
|
Machine Translation (SP)
|
100% |
166
2.87 IPS |
|
|
Machine Translation (HP)
|
100% |
215
3.71 IPS |
|
|
Machine Translation (Q)
|
43% |
47
2.76 IPS |
