samsung SM-A165F
Geekbench AI Score
514
Single Precision Score
514
Half Precision Score
947
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 01 2025 06:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A165F |
| Model ID | samsung SM-A165F |
| 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 | 3.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (Q)
|
100% |
654
121.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
278
4.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
712
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1094
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1101
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1602
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
635
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
725
8.61 IPS |
|
|
Face Detection (HP)
|
100% |
722
8.58 IPS |
|
|
Face Detection (Q)
|
95% |
1471
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
949
7.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
940
7.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
1485
13.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1852
2.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1847
2.40 IPS |
|
|
Style Transfer (Q)
|
98% |
3674
4.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
499
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
888
32.9 IPS |
|
|
Text Classification (SP)
|
100% |
281
375.4 IPS |
|
|
Text Classification (HP)
|
100% |
279
372.7 IPS |
|
|
Text Classification (Q)
|
88% |
494
666.3 IPS |
|
|
Machine Translation (SP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (Q)
|
50% |
348
12.4 IPS |
