samsung SM-A165M
Geekbench AI Score
506
Single Precision Score
510
Half Precision Score
934
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 07:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A165M |
| Model ID | samsung SM-A165M |
| Motherboard | a16 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
225
41.9 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.5 IPS |
|
|
Image Classification (Q)
|
100% |
643
119.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
716
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1092
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1076
1.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
1602
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
83% |
631
51.0 IPS |
|
|
Face Detection (SP)
|
100% |
711
8.45 IPS |
|
|
Face Detection (HP)
|
100% |
715
8.49 IPS |
|
|
Face Detection (Q)
|
95% |
1459
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
852
6.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
932
7.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
1373
12.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1838
2.39 IPS |
|
|
Style Transfer (HP)
|
89% |
1839
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3683
4.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
888
32.9 IPS |
|
|
Text Classification (SP)
|
100% |
278
371.2 IPS |
|
|
Text Classification (HP)
|
100% |
277
369.3 IPS |
|
|
Text Classification (Q)
|
88% |
493
665.0 IPS |
|
|
Machine Translation (SP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.10 IPS |
|
|
Machine Translation (Q)
|
50% |
339
12.0 IPS |
