samsung SM-A175F
Geekbench AI Score
511
Single Precision Score
510
Half Precision Score
945
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 12:14 PM |
| Views | 1 |
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 | 3.51 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% |
650
120.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
719
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1113
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1100
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1617
1.92 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
83% |
639
51.6 IPS |
|
|
Face Detection (SP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (HP)
|
100% |
734
8.72 IPS |
|
|
Face Detection (Q)
|
95% |
1466
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
859
6.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
865
6.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
1476
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1848
2.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1858
2.41 IPS |
|
|
Style Transfer (Q)
|
98% |
3700
4.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
503
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
885
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
278
370.9 IPS |
|
|
Text Classification (HP)
|
100% |
274
366.2 IPS |
|
|
Text Classification (Q)
|
88% |
489
660.2 IPS |
|
|
Machine Translation (SP)
|
100% |
475
8.19 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (Q)
|
50% |
340
12.1 IPS |
