samsung SM-A166W
Geekbench AI Score
469
Single Precision Score
451
Half Precision Score
857
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 01:57 AM |
| Views | 5 |
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% |
232
43.2 IPS |
|
|
Image Classification (HP)
|
100% |
208
38.7 IPS |
|
|
Image Classification (Q)
|
100% |
614
114.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
768
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1097
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1051
1.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
1570
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (Q)
|
83% |
585
47.2 IPS |
|
|
Face Detection (SP)
|
100% |
665
7.90 IPS |
|
|
Face Detection (HP)
|
100% |
654
7.77 IPS |
|
|
Face Detection (Q)
|
95% |
1383
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
870
6.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
835
6.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
1198
11.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1677
2.18 IPS |
|
|
Style Transfer (HP)
|
89% |
1545
2.01 IPS |
|
|
Style Transfer (Q)
|
98% |
3291
4.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
459
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
437
16.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
726
26.9 IPS |
|
|
Text Classification (SP)
|
100% |
208
278.1 IPS |
|
|
Text Classification (HP)
|
100% |
214
286.2 IPS |
|
|
Text Classification (Q)
|
88% |
457
616.1 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.45 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.34 IPS |
|
|
Machine Translation (Q)
|
50% |
275
9.78 IPS |
