samsung SM-A042F
Geekbench AI Score
213
Single Precision Score
199
Half Precision Score
224
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 04:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6765V/CB |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A042F |
| Model ID | samsung SM-A042F |
| 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% |
139
25.9 IPS |
|
|
Image Classification (HP)
|
100% |
128
23.7 IPS |
|
|
Image Classification (Q)
|
100% |
188
35.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
148
2.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
273
4.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
563
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
500
0.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
341
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
104
8.25 IPS |
|
|
Object Detection (HP)
|
100% |
103
8.16 IPS |
|
|
Object Detection (Q)
|
83% |
146
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
260
3.09 IPS |
|
|
Face Detection (HP)
|
100% |
268
3.18 IPS |
|
|
Face Detection (Q)
|
95% |
433
5.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
339
2.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
311
2.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
312
2.86 IPS |
|
|
Style Transfer (SP)
|
89% |
782
1.01 IPS |
|
|
Style Transfer (HP)
|
89% |
794
1.03 IPS |
|
|
Style Transfer (Q)
|
98% |
782
1.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
150
5.54 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
143
5.26 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
171
6.35 IPS |
|
|
Text Classification (SP)
|
100% |
114
152.1 IPS |
|
|
Text Classification (HP)
|
100% |
86
115.0 IPS |
|
|
Text Classification (Q)
|
88% |
114
154.2 IPS |
|
|
Machine Translation (SP)
|
100% |
132
2.27 IPS |
|
|
Machine Translation (HP)
|
100% |
127
2.19 IPS |
|
|
Machine Translation (Q)
|
50% |
63
2.24 IPS |
