samsung SM-A166B
Geekbench AI Score
491
Single Precision Score
482
Half Precision Score
921
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 14 2025 08:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 3.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
237
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
231
42.9 IPS |
|
|
Image Classification (Q)
|
100% |
743
138.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
836
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1146
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1121
1.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
1703
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (Q)
|
83% |
657
53.1 IPS |
|
|
Face Detection (SP)
|
100% |
758
9.01 IPS |
|
|
Face Detection (HP)
|
100% |
758
9.01 IPS |
|
|
Face Detection (Q)
|
95% |
1504
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
891
6.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
886
6.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
1385
12.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1746
2.27 IPS |
|
|
Style Transfer (HP)
|
89% |
1653
2.15 IPS |
|
|
Style Transfer (Q)
|
98% |
3205
4.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
769
28.5 IPS |
|
|
Text Classification (SP)
|
100% |
215
286.7 IPS |
|
|
Text Classification (HP)
|
100% |
216
287.9 IPS |
|
|
Text Classification (Q)
|
88% |
453
610.8 IPS |
|
|
Machine Translation (SP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.35 IPS |
|
|
Machine Translation (Q)
|
50% |
272
9.65 IPS |
