samsung SM-A155F
Geekbench AI Score
510
Single Precision Score
512
Half Precision Score
942
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 10 2025 09:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A155F |
| Model ID | samsung SM-A155F |
| Motherboard | a15 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (Q)
|
100% |
644
119.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
715
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1101
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1091
1.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
1607
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
633
51.1 IPS |
|
|
Face Detection (SP)
|
100% |
716
8.50 IPS |
|
|
Face Detection (HP)
|
100% |
720
8.55 IPS |
|
|
Face Detection (Q)
|
95% |
1458
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
932
7.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
927
7.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
1478
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1838
2.39 IPS |
|
|
Style Transfer (HP)
|
89% |
1855
2.41 IPS |
|
|
Style Transfer (Q)
|
98% |
3696
4.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
497
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
891
33.0 IPS |
|
|
Text Classification (SP)
|
100% |
275
367.6 IPS |
|
|
Text Classification (HP)
|
100% |
275
367.4 IPS |
|
|
Text Classification (Q)
|
88% |
489
659.9 IPS |
|
|
Machine Translation (SP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.09 IPS |
|
|
Machine Translation (Q)
|
50% |
342
12.1 IPS |
