samsung SM-A042M
Geekbench AI Score
124
Single Precision Score
118
Half Precision Score
84
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 02 2025 12:47 AM |
| Views | 6 |
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% |
75
14.0 IPS |
|
|
Image Classification (HP)
|
100% |
76
14.2 IPS |
|
|
Image Classification (Q)
|
100% |
65
12.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
102
1.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
101
1.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
88
1.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
419
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
412
0.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
397
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
72
5.69 IPS |
|
|
Object Detection (HP)
|
100% |
73
5.76 IPS |
|
|
Object Detection (Q)
|
85% |
64
5.19 IPS |
|
|
Face Detection (SP)
|
100% |
223
2.65 IPS |
|
|
Face Detection (HP)
|
100% |
211
2.51 IPS |
|
|
Face Detection (Q)
|
97% |
178
2.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
269
2.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
250
1.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
194
1.77 IPS |
|
|
Style Transfer (SP)
|
100% |
763
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
761
0.98 IPS |
|
|
Style Transfer (Q)
|
98% |
713
0.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
158
5.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
162
5.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
137
5.06 IPS |
|
|
Text Classification (SP)
|
35% |
7
62.4 IPS |
|
|
Text Classification (HP)
|
35% |
6
62.7 IPS |
|
|
Text Classification (Q)
|
32% |
4
57.8 IPS |
|
|
Machine Translation (SP)
|
100% |
77
1.33 IPS |
|
|
Machine Translation (HP)
|
100% |
62
1.07 IPS |
|
|
Machine Translation (Q)
|
41% |
10
0.67 IPS |
