samsung SM-A047F
Geekbench AI Score
306
Single Precision Score
303
Half Precision Score
301
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | benched |
| Upload Date | October 08 2024 07:23 PM |
| Views | 15 |
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 | 2.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
153
28.4 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.3 IPS |
|
|
Image Classification (Q)
|
100% |
207
38.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
193
3.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
203
3.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
288
4.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
745
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
748
0.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
474
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (Q)
|
83% |
187
15.1 IPS |
|
|
Face Detection (SP)
|
100% |
385
4.57 IPS |
|
|
Face Detection (HP)
|
100% |
389
4.62 IPS |
|
|
Face Detection (Q)
|
95% |
496
5.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
496
3.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
498
3.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
474
4.34 IPS |
|
|
Style Transfer (SP)
|
89% |
1374
1.78 IPS |
|
|
Style Transfer (HP)
|
89% |
1371
1.78 IPS |
|
|
Style Transfer (Q)
|
98% |
1301
1.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
274
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
274
10.2 IPS |
|
|
Text Classification (SP)
|
100% |
139
186.0 IPS |
|
|
Text Classification (HP)
|
100% |
137
182.4 IPS |
|
|
Text Classification (Q)
|
88% |
152
204.9 IPS |
|
|
Machine Translation (SP)
|
100% |
217
3.73 IPS |
|
|
Machine Translation (HP)
|
100% |
204
3.52 IPS |
|
|
Machine Translation (Q)
|
50% |
91
3.22 IPS |
