samsung SM-A047F
Geekbench AI Score
312
Single Precision Score
321
Half Precision Score
315
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 10:06 AM |
| Views | 1 |
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% |
97
18.0 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.6 IPS |
|
|
Image Classification (Q)
|
100% |
212
39.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
208
3.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
317
5.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
772
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
734
0.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
472
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
83% |
195
15.8 IPS |
|
|
Face Detection (SP)
|
100% |
450
5.35 IPS |
|
|
Face Detection (HP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (Q)
|
95% |
576
6.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
556
4.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
514
3.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
453
4.15 IPS |
|
|
Style Transfer (SP)
|
89% |
1423
1.85 IPS |
|
|
Style Transfer (HP)
|
89% |
1392
1.81 IPS |
|
|
Style Transfer (Q)
|
98% |
1295
1.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
279
10.3 IPS |
|
|
Text Classification (SP)
|
100% |
154
206.1 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.5 IPS |
|
|
Text Classification (Q)
|
88% |
173
233.9 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.90 IPS |
|
|
Machine Translation (HP)
|
100% |
219
3.77 IPS |
|
|
Machine Translation (Q)
|
50% |
96
3.40 IPS |
