samsung SM-A047F
Geekbench AI Score
280
Single Precision Score
279
Half Precision Score
282
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 15 2024 11:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Samsung |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A047F |
| Model ID | samsung SM-A047F |
| Motherboard | exynos850 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM Samsung |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3333 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
140
26.1 IPS |
|
|
Image Classification (HP)
|
100% |
139
25.9 IPS |
|
|
Image Classification (Q)
|
100% |
197
36.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
189
3.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
189
3.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
289
4.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
737
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
734
0.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
451
0.53 IPS |
|
|
Object Detection (SP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
83% |
174
14.1 IPS |
|
|
Face Detection (SP)
|
100% |
356
4.23 IPS |
|
|
Face Detection (HP)
|
100% |
348
4.14 IPS |
|
|
Face Detection (Q)
|
95% |
467
5.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
379
2.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
396
3.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
439
4.02 IPS |
|
|
Style Transfer (SP)
|
89% |
1312
1.70 IPS |
|
|
Style Transfer (HP)
|
89% |
1290
1.67 IPS |
|
|
Style Transfer (Q)
|
98% |
1234
1.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
254
9.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
258
9.53 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
260
9.63 IPS |
|
|
Text Classification (SP)
|
100% |
123
163.9 IPS |
|
|
Text Classification (HP)
|
100% |
122
162.8 IPS |
|
|
Text Classification (Q)
|
88% |
136
183.4 IPS |
|
|
Machine Translation (SP)
|
100% |
201
3.46 IPS |
|
|
Machine Translation (HP)
|
100% |
194
3.33 IPS |
|
|
Machine Translation (Q)
|
50% |
82
2.89 IPS |
