samsung SM-A042F
Geekbench AI Score
269
Single Precision Score
260
Half Precision Score
289
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 13 2025 04:14 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-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% |
141
26.2 IPS |
|
|
Image Classification (HP)
|
100% |
139
25.9 IPS |
|
|
Image Classification (Q)
|
100% |
175
32.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
184
2.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
288
4.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
650
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
621
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
474
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (Q)
|
83% |
200
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
352
4.19 IPS |
|
|
Face Detection (HP)
|
100% |
354
4.20 IPS |
|
|
Face Detection (Q)
|
95% |
562
6.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
468
3.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
368
2.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
443
4.06 IPS |
|
|
Style Transfer (SP)
|
89% |
1104
1.43 IPS |
|
|
Style Transfer (HP)
|
89% |
1113
1.44 IPS |
|
|
Style Transfer (Q)
|
98% |
1097
1.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
202
7.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
208
7.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
256
9.48 IPS |
|
|
Text Classification (SP)
|
100% |
139
185.1 IPS |
|
|
Text Classification (HP)
|
100% |
140
187.2 IPS |
|
|
Text Classification (Q)
|
88% |
149
200.9 IPS |
|
|
Machine Translation (SP)
|
100% |
178
3.07 IPS |
|
|
Machine Translation (HP)
|
100% |
171
2.94 IPS |
|
|
Machine Translation (Q)
|
50% |
83
2.94 IPS |
