samsung SM-S166V
Geekbench AI Score
451
Single Precision Score
432
Half Precision Score
843
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 30 2025 11:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S166V |
| Model ID | samsung SM-S166V |
| 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% |
205
38.1 IPS |
|
|
Image Classification (HP)
|
100% |
204
38.0 IPS |
|
|
Image Classification (Q)
|
100% |
650
120.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
270
4.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
753
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
958
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
805
0.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
1352
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
192
15.3 IPS |
|
|
Object Detection (HP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (Q)
|
83% |
533
43.0 IPS |
|
|
Face Detection (SP)
|
100% |
638
7.59 IPS |
|
|
Face Detection (HP)
|
100% |
667
7.93 IPS |
|
|
Face Detection (Q)
|
95% |
1280
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
871
6.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
791
6.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
1111
10.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1652
2.14 IPS |
|
|
Style Transfer (HP)
|
89% |
1540
2.00 IPS |
|
|
Style Transfer (Q)
|
98% |
3422
4.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
451
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
760
28.2 IPS |
|
|
Text Classification (SP)
|
100% |
218
291.0 IPS |
|
|
Text Classification (HP)
|
100% |
241
322.1 IPS |
|
|
Text Classification (Q)
|
88% |
483
650.8 IPS |
|
|
Machine Translation (SP)
|
100% |
362
6.23 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (Q)
|
50% |
288
10.2 IPS |
