samsung SM-A047F
Geekbench AI Score
300
Single Precision Score
302
Half Precision Score
297
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 12 2025 09:05 AM |
| Views | 3 |
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% |
156
29.0 IPS |
|
|
Image Classification (HP)
|
100% |
147
27.3 IPS |
|
|
Image Classification (Q)
|
100% |
199
37.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
194
3.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
265
4.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
704
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
698
0.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
471
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
83% |
188
15.2 IPS |
|
|
Face Detection (SP)
|
100% |
389
4.62 IPS |
|
|
Face Detection (HP)
|
100% |
391
4.65 IPS |
|
|
Face Detection (Q)
|
95% |
495
5.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
508
3.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
501
3.86 IPS |
|
|
Depth Estimation (Q)
|
64% |
479
4.39 IPS |
|
|
Style Transfer (SP)
|
89% |
1396
1.81 IPS |
|
|
Style Transfer (HP)
|
89% |
1358
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
1299
1.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
278
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
275
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
272
10.1 IPS |
|
|
Text Classification (SP)
|
100% |
111
148.3 IPS |
|
|
Text Classification (HP)
|
100% |
138
184.7 IPS |
|
|
Text Classification (Q)
|
88% |
153
206.3 IPS |
|
|
Machine Translation (SP)
|
100% |
217
3.73 IPS |
|
|
Machine Translation (HP)
|
100% |
214
3.68 IPS |
|
|
Machine Translation (Q)
|
50% |
90
3.20 IPS |
