samsung SM-A166W
Geekbench AI Score
493
Single Precision Score
472
Half Precision Score
890
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 08:16 PM |
| Views | 6 |
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% |
237
44.1 IPS |
|
|
Image Classification (HP)
|
100% |
199
37.1 IPS |
|
|
Image Classification (Q)
|
100% |
579
107.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
272
4.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
737
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1083
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1023
1.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
1485
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (Q)
|
83% |
577
46.6 IPS |
|
|
Face Detection (SP)
|
100% |
723
8.59 IPS |
|
|
Face Detection (HP)
|
100% |
660
7.85 IPS |
|
|
Face Detection (Q)
|
95% |
1433
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
888
6.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
859
6.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
1334
12.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1735
2.25 IPS |
|
|
Style Transfer (HP)
|
89% |
1738
2.26 IPS |
|
|
Style Transfer (Q)
|
98% |
3430
4.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
516
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
515
19.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
810
30.0 IPS |
|
|
Text Classification (SP)
|
100% |
244
325.6 IPS |
|
|
Text Classification (HP)
|
100% |
241
321.6 IPS |
|
|
Text Classification (Q)
|
88% |
504
679.4 IPS |
|
|
Machine Translation (SP)
|
100% |
428
7.37 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.90 IPS |
|
|
Machine Translation (Q)
|
50% |
321
11.4 IPS |
