samsung SM-A047F
Geekbench AI Score
298
Single Precision Score
297
Half Precision Score
294
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | benched |
| Upload Date | October 08 2024 03:04 PM |
| Views | 16 |
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% |
130
24.1 IPS |
|
|
Image Classification (HP)
|
100% |
129
23.9 IPS |
|
|
Image Classification (Q)
|
100% |
185
34.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
183
2.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
185
2.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
272
4.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
706
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
703
0.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
467
0.55 IPS |
|
|
Object Detection (SP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
83% |
185
14.9 IPS |
|
|
Face Detection (SP)
|
100% |
387
4.60 IPS |
|
|
Face Detection (HP)
|
100% |
389
4.63 IPS |
|
|
Face Detection (Q)
|
95% |
494
5.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
500
3.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
504
3.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
477
4.37 IPS |
|
|
Style Transfer (SP)
|
89% |
1385
1.80 IPS |
|
|
Style Transfer (HP)
|
89% |
1391
1.81 IPS |
|
|
Style Transfer (Q)
|
98% |
1311
1.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
265
9.78 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
274
10.1 IPS |
|
|
Text Classification (SP)
|
100% |
136
181.8 IPS |
|
|
Text Classification (HP)
|
100% |
137
182.2 IPS |
|
|
Text Classification (Q)
|
88% |
149
201.4 IPS |
|
|
Machine Translation (SP)
|
100% |
221
3.81 IPS |
|
|
Machine Translation (HP)
|
100% |
217
3.73 IPS |
|
|
Machine Translation (Q)
|
50% |
90
3.19 IPS |
