samsung SM-A047F
Geekbench AI Score
297
Single Precision Score
297
Half Precision Score
293
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | benched |
| Upload Date | October 08 2024 03:20 PM |
| Views | 18 |
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% |
149
27.6 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.6 IPS |
|
|
Image Classification (Q)
|
100% |
200
37.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
193
3.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
193
3.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
283
4.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
723
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
691
0.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
456
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (HP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (Q)
|
83% |
185
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
372
4.42 IPS |
|
|
Face Detection (HP)
|
100% |
383
4.55 IPS |
|
|
Face Detection (Q)
|
95% |
488
5.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
483
3.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
497
3.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
467
4.27 IPS |
|
|
Style Transfer (SP)
|
89% |
1356
1.76 IPS |
|
|
Style Transfer (HP)
|
89% |
1361
1.77 IPS |
|
|
Style Transfer (Q)
|
98% |
1272
1.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
274
10.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
268
9.93 IPS |
|
|
Text Classification (SP)
|
100% |
134
179.2 IPS |
|
|
Text Classification (HP)
|
100% |
135
180.7 IPS |
|
|
Text Classification (Q)
|
88% |
145
196.2 IPS |
|
|
Machine Translation (SP)
|
100% |
207
3.56 IPS |
|
|
Machine Translation (HP)
|
100% |
210
3.61 IPS |
|
|
Machine Translation (Q)
|
50% |
88
3.13 IPS |
