samsung SM-A075M
Geekbench AI Score
514
Single Precision Score
512
Half Precision Score
940
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 05:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A075M |
| Model ID | samsung SM-A075M |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.5 IPS |
|
|
Image Classification (Q)
|
100% |
646
120.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
717
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1094
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1094
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1616
1.92 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
633
51.1 IPS |
|
|
Face Detection (SP)
|
100% |
724
8.60 IPS |
|
|
Face Detection (HP)
|
100% |
730
8.67 IPS |
|
|
Face Detection (Q)
|
95% |
1465
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
945
7.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
938
7.23 IPS |
|
|
Depth Estimation (Q)
|
64% |
1467
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1839
2.39 IPS |
|
|
Style Transfer (HP)
|
89% |
1838
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3707
4.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
887
32.9 IPS |
|
|
Text Classification (SP)
|
100% |
276
367.7 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.4 IPS |
|
|
Text Classification (Q)
|
88% |
482
650.3 IPS |
|
|
Machine Translation (SP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
50% |
337
12.0 IPS |
