samsung SM-A075F
Geekbench AI Score
518
Single Precision Score
517
Half Precision Score
954
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 12:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A075F |
| Model ID | samsung SM-A075F |
| Motherboard | a07 |
| 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 | 3.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
226
42.0 IPS |
|
|
Image Classification (HP)
|
100% |
226
42.0 IPS |
|
|
Image Classification (Q)
|
100% |
654
121.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
723
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1122
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1116
1.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
1618
1.92 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (Q)
|
83% |
645
52.1 IPS |
|
|
Face Detection (SP)
|
100% |
743
8.83 IPS |
|
|
Face Detection (HP)
|
100% |
749
8.90 IPS |
|
|
Face Detection (Q)
|
95% |
1483
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
877
6.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
893
6.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
1489
13.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1861
2.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1855
2.41 IPS |
|
|
Style Transfer (Q)
|
98% |
3719
4.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
503
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
895
33.2 IPS |
|
|
Text Classification (SP)
|
100% |
281
375.6 IPS |
|
|
Text Classification (HP)
|
100% |
279
372.9 IPS |
|
|
Text Classification (Q)
|
88% |
489
659.4 IPS |
|
|
Machine Translation (SP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (Q)
|
50% |
353
12.5 IPS |
