samsung SM-A175F
Geekbench AI Score
519
Single Precision Score
517
Half Precision Score
951
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 03:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A175F |
| Model ID | samsung SM-A175F |
| Motherboard | a17 |
| 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 | 3.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
100% |
650
120.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
718
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1105
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1614
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
229
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
639
51.6 IPS |
|
|
Face Detection (SP)
|
100% |
735
8.73 IPS |
|
|
Face Detection (HP)
|
100% |
733
8.71 IPS |
|
|
Face Detection (Q)
|
95% |
1471
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
965
7.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
956
7.37 IPS |
|
|
Depth Estimation (Q)
|
64% |
1484
13.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1855
2.41 IPS |
|
|
Style Transfer (HP)
|
89% |
1863
2.42 IPS |
|
|
Style Transfer (Q)
|
98% |
3704
4.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
503
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
508
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
889
32.9 IPS |
|
|
Text Classification (SP)
|
100% |
281
375.2 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.6 IPS |
|
|
Text Classification (Q)
|
88% |
499
672.8 IPS |
|
|
Machine Translation (SP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (HP)
|
100% |
478
8.24 IPS |
|
|
Machine Translation (Q)
|
50% |
351
12.5 IPS |
