samsung SM-A166W
Geekbench AI Score
439
Single Precision Score
429
Half Precision Score
793
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 16 2025 01:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
232
43.1 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.2 IPS |
|
|
Image Classification (Q)
|
100% |
586
108.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
255
4.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
266
4.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
703
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1028
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
965
1.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
1341
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (HP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (Q)
|
83% |
532
43.0 IPS |
|
|
Face Detection (SP)
|
100% |
596
7.08 IPS |
|
|
Face Detection (HP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (Q)
|
95% |
1226
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
777
5.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
767
5.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
1116
10.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1488
1.93 IPS |
|
|
Style Transfer (HP)
|
89% |
1488
1.93 IPS |
|
|
Style Transfer (Q)
|
98% |
2851
3.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
428
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
428
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
722
26.7 IPS |
|
|
Text Classification (SP)
|
100% |
211
282.1 IPS |
|
|
Text Classification (HP)
|
100% |
209
278.5 IPS |
|
|
Text Classification (Q)
|
88% |
437
589.8 IPS |
|
|
Machine Translation (SP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (HP)
|
100% |
353
6.09 IPS |
|
|
Machine Translation (Q)
|
50% |
275
9.76 IPS |
