samsung SM-A166P
Geekbench AI Score
509
Single Precision Score
509
Half Precision Score
966
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 07:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A166P |
| Model ID | samsung SM-A166P |
| Motherboard | a16xm |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (HP)
|
100% |
230
42.7 IPS |
|
|
Image Classification (Q)
|
100% |
718
133.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
748
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1084
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1104
1.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
1648
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
633
51.2 IPS |
|
|
Face Detection (SP)
|
100% |
713
8.47 IPS |
|
|
Face Detection (HP)
|
100% |
718
8.53 IPS |
|
|
Face Detection (Q)
|
95% |
1485
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
910
7.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
911
7.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
1501
13.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1831
2.38 IPS |
|
|
Style Transfer (HP)
|
89% |
1839
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3756
4.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
906
33.6 IPS |
|
|
Text Classification (SP)
|
100% |
273
364.9 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.0 IPS |
|
|
Text Classification (Q)
|
88% |
488
657.9 IPS |
|
|
Machine Translation (SP)
|
100% |
478
8.24 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.08 IPS |
|
|
Machine Translation (Q)
|
50% |
344
12.2 IPS |
