samsung SM-A042M
Geekbench AI Score
240
Single Precision Score
233
Half Precision Score
258
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 12 2025 04:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6765V/CB |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A042M |
| Model ID | samsung SM-A042M |
| Motherboard | a04e |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/CB |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 2.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
145
27.0 IPS |
|
|
Image Classification (HP)
|
100% |
144
26.7 IPS |
|
|
Image Classification (Q)
|
100% |
213
39.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
174
2.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
182
2.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
325
5.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
634
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
532
0.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
395
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
112
8.87 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.23 IPS |
|
|
Object Detection (Q)
|
83% |
157
12.7 IPS |
|
|
Face Detection (SP)
|
100% |
306
3.64 IPS |
|
|
Face Detection (HP)
|
100% |
291
3.46 IPS |
|
|
Face Detection (Q)
|
95% |
441
5.27 IPS |
|
|
Depth Estimation (SP)
|
100% |
384
2.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
325
2.50 IPS |
|
|
Depth Estimation (Q)
|
64% |
357
3.27 IPS |
|
|
Style Transfer (SP)
|
89% |
903
1.17 IPS |
|
|
Style Transfer (HP)
|
89% |
928
1.20 IPS |
|
|
Style Transfer (Q)
|
98% |
942
1.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
180
6.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
180
6.65 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
207
7.66 IPS |
|
|
Text Classification (SP)
|
100% |
118
157.3 IPS |
|
|
Text Classification (HP)
|
100% |
118
158.0 IPS |
|
|
Text Classification (Q)
|
88% |
141
189.9 IPS |
|
|
Machine Translation (SP)
|
100% |
162
2.79 IPS |
|
|
Machine Translation (HP)
|
100% |
160
2.76 IPS |
|
|
Machine Translation (Q)
|
50% |
73
2.57 IPS |
