samsung SM-A166W
Geekbench AI Score
480
Single Precision Score
462
Half Precision Score
883
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2025 07:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
240
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (Q)
|
100% |
766
142.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
771
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1118
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1076
1.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
1546
1.83 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (Q)
|
83% |
581
46.9 IPS |
|
|
Face Detection (SP)
|
100% |
697
8.29 IPS |
|
|
Face Detection (HP)
|
100% |
642
7.63 IPS |
|
|
Face Detection (Q)
|
95% |
1382
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
869
6.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
884
6.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
1345
12.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1674
2.17 IPS |
|
|
Style Transfer (HP)
|
89% |
1632
2.12 IPS |
|
|
Style Transfer (Q)
|
98% |
3344
4.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
499
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
433
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
685
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
196
262.1 IPS |
|
|
Text Classification (HP)
|
100% |
189
252.6 IPS |
|
|
Text Classification (Q)
|
88% |
459
619.2 IPS |
|
|
Machine Translation (SP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (Q)
|
50% |
280
9.94 IPS |
