Samsung Galaxy A16
Geekbench AI Score
353
Single Precision Score
615
Half Precision Score
702
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Coolooooooo |
| Upload Date | March 04 2026 09:51 PM |
| 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% |
149
27.7 IPS |
|
|
Image Classification (HP)
|
100% |
293
54.4 IPS |
|
|
Image Classification (Q)
|
99% |
452
84.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
515
8.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
759
0.89 IPS |
|
|
Pose Estimation (HP)
|
92% |
1467
1.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
1107
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (HP)
|
97% |
289
23.0 IPS |
|
|
Object Detection (Q)
|
85% |
446
35.9 IPS |
|
|
Face Detection (SP)
|
100% |
538
6.40 IPS |
|
|
Face Detection (HP)
|
100% |
945
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
1083
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
634
4.88 IPS |
|
|
Depth Estimation (HP)
|
98% |
1296
10.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
1034
9.54 IPS |
|
|
Style Transfer (SP)
|
89% |
1302
1.69 IPS |
|
|
Style Transfer (HP)
|
88% |
1799
2.34 IPS |
|
|
Style Transfer (Q)
|
98% |
2644
3.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
374
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
632
23.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
657
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
185
246.7 IPS |
|
|
Text Classification (HP)
|
100% |
289
386.3 IPS |
|
|
Text Classification (Q)
|
93% |
380
510.5 IPS |
|
|
Machine Translation (SP)
|
100% |
306
5.27 IPS |
|
|
Machine Translation (HP)
|
96% |
436
7.54 IPS |
|
|
Machine Translation (Q)
|
55% |
347
9.32 IPS |
