samsung SM-A166W
Geekbench AI Score
408
Single Precision Score
405
Half Precision Score
753
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 02:18 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% |
228
42.5 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.7 IPS |
|
|
Image Classification (Q)
|
100% |
584
108.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
238
3.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
661
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
935
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
897
1.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
1250
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
83% |
478
38.6 IPS |
|
|
Face Detection (SP)
|
100% |
578
6.87 IPS |
|
|
Face Detection (HP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (Q)
|
95% |
1151
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
708
5.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
684
5.27 IPS |
|
|
Depth Estimation (Q)
|
64% |
1119
10.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1373
1.78 IPS |
|
|
Style Transfer (HP)
|
89% |
1373
1.78 IPS |
|
|
Style Transfer (Q)
|
98% |
2894
3.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
398
14.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
684
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
197
262.6 IPS |
|
|
Text Classification (HP)
|
100% |
194
258.5 IPS |
|
|
Text Classification (Q)
|
88% |
405
546.1 IPS |
|
|
Machine Translation (SP)
|
100% |
326
5.62 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.59 IPS |
|
|
Machine Translation (Q)
|
50% |
247
8.78 IPS |
