samsung SM-A047F
Geekbench AI Score
274
Single Precision Score
266
Half Precision Score
275
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | benched |
| Upload Date | October 08 2024 02:47 PM |
| Views | 12 |
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% |
92
17.1 IPS |
|
|
Image Classification (HP)
|
100% |
89
16.6 IPS |
|
|
Image Classification (Q)
|
100% |
190
35.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
152
2.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
128
2.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
164
2.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
582
0.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
558
0.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
453
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (Q)
|
83% |
185
14.9 IPS |
|
|
Face Detection (SP)
|
100% |
375
4.46 IPS |
|
|
Face Detection (HP)
|
100% |
387
4.60 IPS |
|
|
Face Detection (Q)
|
95% |
482
5.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
493
3.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
483
3.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
466
4.27 IPS |
|
|
Style Transfer (SP)
|
89% |
1334
1.73 IPS |
|
|
Style Transfer (HP)
|
89% |
1346
1.75 IPS |
|
|
Style Transfer (Q)
|
98% |
1275
1.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
270
9.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
268
9.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
268
9.93 IPS |
|
|
Text Classification (SP)
|
100% |
136
182.1 IPS |
|
|
Text Classification (HP)
|
100% |
133
177.8 IPS |
|
|
Text Classification (Q)
|
88% |
146
197.2 IPS |
|
|
Machine Translation (SP)
|
100% |
215
3.70 IPS |
|
|
Machine Translation (HP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (Q)
|
50% |
87
3.09 IPS |
