Samsung Galaxy A16
Geekbench AI Score
337
Single Precision Score
565
Half Precision Score
652
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Coolooooooo |
| Upload Date | March 04 2026 08:45 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% |
138
25.6 IPS |
|
|
Image Classification (HP)
|
100% |
247
46.0 IPS |
|
|
Image Classification (Q)
|
99% |
389
72.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
174
2.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
501
8.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
690
0.80 IPS |
|
|
Pose Estimation (HP)
|
92% |
1370
1.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
1131
1.32 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (HP)
|
97% |
246
19.6 IPS |
|
|
Object Detection (Q)
|
85% |
423
34.1 IPS |
|
|
Face Detection (SP)
|
100% |
496
5.89 IPS |
|
|
Face Detection (HP)
|
100% |
805
9.56 IPS |
|
|
Face Detection (Q)
|
97% |
968
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
628
4.84 IPS |
|
|
Depth Estimation (HP)
|
98% |
1148
8.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
905
8.35 IPS |
|
|
Style Transfer (SP)
|
89% |
1238
1.61 IPS |
|
|
Style Transfer (HP)
|
88% |
1746
2.27 IPS |
|
|
Style Transfer (Q)
|
98% |
2539
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
383
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
611
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
566
21.0 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.0 IPS |
|
|
Text Classification (HP)
|
100% |
284
379.0 IPS |
|
|
Text Classification (Q)
|
93% |
355
476.3 IPS |
|
|
Machine Translation (SP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (HP)
|
96% |
416
7.19 IPS |
|
|
Machine Translation (Q)
|
55% |
334
8.97 IPS |
