samsung SM-A166W
Geekbench AI Score
515
Single Precision Score
515
Half Precision Score
992
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 11 2025 03:23 AM |
| Views | 7 |
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% |
230
42.9 IPS |
|
|
Image Classification (HP)
|
100% |
244
45.4 IPS |
|
|
Image Classification (Q)
|
100% |
764
142.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
872
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1177
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1179
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
1767
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
678
54.8 IPS |
|
|
Face Detection (SP)
|
100% |
750
8.91 IPS |
|
|
Face Detection (HP)
|
100% |
788
9.36 IPS |
|
|
Face Detection (Q)
|
95% |
1515
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
946
7.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
917
7.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
1409
12.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1851
2.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1808
2.35 IPS |
|
|
Style Transfer (Q)
|
98% |
3711
4.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
468
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
877
32.5 IPS |
|
|
Text Classification (SP)
|
100% |
249
332.6 IPS |
|
|
Text Classification (HP)
|
100% |
252
336.5 IPS |
|
|
Text Classification (Q)
|
88% |
536
723.5 IPS |
|
|
Machine Translation (SP)
|
100% |
449
7.74 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (Q)
|
50% |
311
11.0 IPS |
