samsung SM-S166V
Geekbench AI Score
518
Single Precision Score
514
Half Precision Score
1035
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 03:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
221
41.1 IPS |
|
|
Image Classification (HP)
|
100% |
229
42.6 IPS |
|
|
Image Classification (Q)
|
100% |
729
135.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
292
4.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
798
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1120
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1026
1.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
1792
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (Q)
|
83% |
721
58.2 IPS |
|
|
Face Detection (SP)
|
100% |
708
8.41 IPS |
|
|
Face Detection (HP)
|
100% |
685
8.14 IPS |
|
|
Face Detection (Q)
|
95% |
1512
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
940
7.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
957
7.38 IPS |
|
|
Depth Estimation (Q)
|
64% |
1612
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1857
2.41 IPS |
|
|
Style Transfer (HP)
|
89% |
1827
2.37 IPS |
|
|
Style Transfer (Q)
|
98% |
4075
5.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
998
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
269
359.1 IPS |
|
|
Text Classification (HP)
|
100% |
269
359.6 IPS |
|
|
Text Classification (Q)
|
88% |
551
743.1 IPS |
|
|
Machine Translation (SP)
|
100% |
454
7.81 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (Q)
|
50% |
345
12.3 IPS |
