samsung SM-A166W
Geekbench AI Score
535
Single Precision Score
522
Half Precision Score
1030
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 16 2025 03:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A166W |
| Model ID | samsung SM-A166W |
| 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% |
235
43.7 IPS |
|
|
Image Classification (HP)
|
100% |
233
43.3 IPS |
|
|
Image Classification (Q)
|
100% |
766
142.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
867
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1180
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1169
1.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
1784
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
231
18.4 IPS |
|
|
Object Detection (Q)
|
83% |
728
58.8 IPS |
|
|
Face Detection (SP)
|
100% |
786
9.34 IPS |
|
|
Face Detection (HP)
|
100% |
788
9.36 IPS |
|
|
Face Detection (Q)
|
95% |
1712
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1051
8.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
941
7.25 IPS |
|
|
Depth Estimation (Q)
|
64% |
1481
13.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1934
2.51 IPS |
|
|
Style Transfer (HP)
|
89% |
1825
2.37 IPS |
|
|
Style Transfer (Q)
|
98% |
3585
4.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
517
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
938
34.8 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.6 IPS |
|
|
Text Classification (HP)
|
100% |
265
353.5 IPS |
|
|
Text Classification (Q)
|
88% |
562
757.9 IPS |
|
|
Machine Translation (SP)
|
100% |
446
7.69 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.52 IPS |
|
|
Machine Translation (Q)
|
50% |
328
11.6 IPS |
