samsung SM-A166B
Geekbench AI Score
380
Single Precision Score
373
Half Precision Score
691
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Coolooooooo |
| Upload Date | February 02 2026 04:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A166B |
| 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% |
211
39.2 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.7 IPS |
|
|
Image Classification (Q)
|
100% |
672
125.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
272
4.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
719
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
940
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
866
1.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
1092
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (Q)
|
83% |
416
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
517
6.14 IPS |
|
|
Face Detection (HP)
|
100% |
504
5.99 IPS |
|
|
Face Detection (Q)
|
95% |
1001
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
629
4.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
619
4.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
875
8.01 IPS |
|
|
Style Transfer (SP)
|
89% |
1280
1.66 IPS |
|
|
Style Transfer (HP)
|
89% |
1223
1.59 IPS |
|
|
Style Transfer (Q)
|
98% |
2654
3.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
373
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
588
21.8 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.3 IPS |
|
|
Text Classification (HP)
|
100% |
184
245.9 IPS |
|
|
Text Classification (Q)
|
88% |
363
489.5 IPS |
|
|
Machine Translation (SP)
|
100% |
304
5.23 IPS |
|
|
Machine Translation (HP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (Q)
|
50% |
228
8.09 IPS |
