Samsung Galaxy A54
Geekbench AI Score
810
Single Precision Score
799
Half Precision Score
1652
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 14 2024 05:37 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 1380 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy A54 |
| Model ID | samsung SM-A546E |
| Motherboard | s5e8835 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
435
80.8 IPS |
|
|
Image Classification (HP)
|
100% |
419
77.9 IPS |
|
|
Image Classification (Q)
|
100% |
1330
247.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
519
8.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1562
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1816
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1810
2.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
3279
3.89 IPS |
|
|
Object Detection (SP)
|
100% |
385
30.6 IPS |
|
|
Object Detection (HP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (Q)
|
83% |
1178
95.1 IPS |
|
|
Face Detection (SP)
|
100% |
1113
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1107
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
2987
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1324
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1334
10.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2933
26.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3157
4.10 IPS |
|
|
Style Transfer (HP)
|
89% |
3097
4.02 IPS |
|
|
Style Transfer (Q)
|
98% |
6125
7.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
710
26.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
738
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1565
58.0 IPS |
|
|
Text Classification (SP)
|
100% |
374
499.4 IPS |
|
|
Text Classification (HP)
|
100% |
371
494.6 IPS |
|
|
Text Classification (Q)
|
88% |
697
939.5 IPS |
|
|
Machine Translation (SP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (Q)
|
50% |
324
11.5 IPS |
