samsung SM-A042M
Geekbench AI Score
118
Single Precision Score
116
Half Precision Score
83
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 30 2025 06:41 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
74
13.7 IPS |
|
|
Image Classification (HP)
|
100% |
75
14.0 IPS |
|
|
Image Classification (Q)
|
100% |
66
12.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
101
1.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
101
1.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
88
1.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
417
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
412
0.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
401
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
76
6.00 IPS |
|
|
Object Detection (HP)
|
100% |
73
5.79 IPS |
|
|
Object Detection (Q)
|
85% |
63
5.08 IPS |
|
|
Face Detection (SP)
|
100% |
223
2.65 IPS |
|
|
Face Detection (HP)
|
100% |
205
2.43 IPS |
|
|
Face Detection (Q)
|
97% |
166
1.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
260
2.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
244
1.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
194
1.78 IPS |
|
|
Style Transfer (SP)
|
100% |
759
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
751
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
710
0.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
153
5.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
150
5.53 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
132
4.89 IPS |
|
|
Text Classification (SP)
|
35% |
5
45.1 IPS |
|
|
Text Classification (HP)
|
35% |
6
54.1 IPS |
|
|
Text Classification (Q)
|
32% |
4
54.2 IPS |
|
|
Machine Translation (SP)
|
100% |
68
1.17 IPS |
|
|
Machine Translation (HP)
|
100% |
58
0.99 IPS |
|
|
Machine Translation (Q)
|
41% |
9
0.60 IPS |
