samsung SM-A166W
Geekbench AI Score
449
Single Precision Score
433
Half Precision Score
809
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 07 2025 08:26 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% |
225
41.9 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.5 IPS |
|
|
Image Classification (Q)
|
100% |
745
138.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
288
4.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
703
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1031
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
926
1.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
1341
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
195
15.4 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (Q)
|
83% |
547
44.2 IPS |
|
|
Face Detection (SP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (HP)
|
100% |
626
7.43 IPS |
|
|
Face Detection (Q)
|
95% |
1265
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
827
6.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
775
5.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
1140
10.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1499
1.95 IPS |
|
|
Style Transfer (HP)
|
89% |
1430
1.86 IPS |
|
|
Style Transfer (Q)
|
98% |
3062
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
435
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
430
15.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
696
25.8 IPS |
|
|
Text Classification (SP)
|
100% |
193
258.1 IPS |
|
|
Text Classification (HP)
|
100% |
191
254.5 IPS |
|
|
Text Classification (Q)
|
88% |
402
542.6 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (HP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (Q)
|
50% |
254
9.02 IPS |
