samsung SM-A166W
Geekbench AI Score
527
Single Precision Score
514
Half Precision Score
998
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 03:20 AM |
| Views | 3 |
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% |
226
42.1 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.8 IPS |
|
|
Image Classification (Q)
|
100% |
755
140.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
868
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1182
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1167
1.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
1752
2.08 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (Q)
|
83% |
665
53.7 IPS |
|
|
Face Detection (SP)
|
100% |
764
9.08 IPS |
|
|
Face Detection (HP)
|
100% |
765
9.09 IPS |
|
|
Face Detection (Q)
|
95% |
1576
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1050
8.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
935
7.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
1480
13.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1822
2.37 IPS |
|
|
Style Transfer (HP)
|
89% |
1804
2.34 IPS |
|
|
Style Transfer (Q)
|
98% |
3750
4.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
532
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
483
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
897
33.2 IPS |
|
|
Text Classification (SP)
|
100% |
255
340.1 IPS |
|
|
Text Classification (HP)
|
100% |
257
343.1 IPS |
|
|
Text Classification (Q)
|
88% |
527
710.4 IPS |
|
|
Machine Translation (SP)
|
100% |
445
7.67 IPS |
|
|
Machine Translation (HP)
|
100% |
428
7.38 IPS |
|
|
Machine Translation (Q)
|
50% |
312
11.1 IPS |
