samsung SM-A166W
Geekbench AI Score
542
Single Precision Score
540
Half Precision Score
1070
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 31 2025 07:59 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
245
45.5 IPS |
|
|
Image Classification (HP)
|
100% |
245
45.5 IPS |
|
|
Image Classification (Q)
|
100% |
770
143.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
318
5.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
869
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1190
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1178
1.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
1787
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (Q)
|
83% |
734
59.3 IPS |
|
|
Face Detection (SP)
|
100% |
791
9.39 IPS |
|
|
Face Detection (HP)
|
100% |
785
9.33 IPS |
|
|
Face Detection (Q)
|
95% |
1725
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1058
8.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
1052
8.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
1685
15.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1969
2.56 IPS |
|
|
Style Transfer (HP)
|
89% |
1904
2.47 IPS |
|
|
Style Transfer (Q)
|
98% |
4007
5.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
508
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
566
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
976
36.2 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.9 IPS |
|
|
Text Classification (HP)
|
100% |
261
348.9 IPS |
|
|
Text Classification (Q)
|
88% |
581
783.7 IPS |
|
|
Machine Translation (SP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (HP)
|
100% |
438
7.55 IPS |
|
|
Machine Translation (Q)
|
50% |
342
12.1 IPS |
