Samsung Galaxy A16
Geekbench AI Score
360
Single Precision Score
630
Half Precision Score
726
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Coolooooooo |
| Upload Date | March 05 2026 04:36 AM |
| Views | 5 |
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% |
153
28.4 IPS |
|
|
Image Classification (HP)
|
100% |
319
59.4 IPS |
|
|
Image Classification (Q)
|
99% |
493
91.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
209
3.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
537
8.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
776
0.91 IPS |
|
|
Pose Estimation (HP)
|
92% |
1502
1.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
1139
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
97% |
300
23.9 IPS |
|
|
Object Detection (Q)
|
85% |
463
37.3 IPS |
|
|
Face Detection (SP)
|
100% |
534
6.34 IPS |
|
|
Face Detection (HP)
|
100% |
886
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
1114
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
675
5.20 IPS |
|
|
Depth Estimation (HP)
|
98% |
1219
9.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
1053
9.71 IPS |
|
|
Style Transfer (SP)
|
89% |
1281
1.66 IPS |
|
|
Style Transfer (HP)
|
88% |
1867
2.42 IPS |
|
|
Style Transfer (Q)
|
98% |
2693
3.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
352
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
648
24.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
663
24.6 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.7 IPS |
|
|
Text Classification (HP)
|
100% |
306
408.8 IPS |
|
|
Text Classification (Q)
|
93% |
400
537.6 IPS |
|
|
Machine Translation (SP)
|
100% |
316
5.45 IPS |
|
|
Machine Translation (HP)
|
96% |
443
7.66 IPS |
|
|
Machine Translation (Q)
|
55% |
350
9.39 IPS |
