samsung SM-A075F
Geekbench AI Score
461
Single Precision Score
467
Half Precision Score
875
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 04:25 AM |
| Views | 1 |
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 | 5.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (HP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (Q)
|
100% |
644
119.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
278
4.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
703
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
991
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
979
1.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
1498
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.4 IPS |
|
|
Object Detection (Q)
|
83% |
624
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
713
8.47 IPS |
|
|
Face Detection (HP)
|
100% |
587
6.98 IPS |
|
|
Face Detection (Q)
|
95% |
1339
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
735
5.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
874
6.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
1467
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1787
2.32 IPS |
|
|
Style Transfer (HP)
|
89% |
1691
2.20 IPS |
|
|
Style Transfer (Q)
|
98% |
3461
4.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
868
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
262
349.5 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.1 IPS |
|
|
Text Classification (Q)
|
88% |
472
636.4 IPS |
|
|
Machine Translation (SP)
|
100% |
362
6.23 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (Q)
|
50% |
225
8.00 IPS |
