Samsung Galaxy A54
Geekbench AI Score
686
Single Precision Score
676
Half Precision Score
1428
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 04:43 PM |
| Views | 1 |
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-A546U |
| 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% |
312
58.1 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.7 IPS |
|
|
Image Classification (Q)
|
100% |
989
183.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1175
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1559
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1541
1.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
2728
3.24 IPS |
|
|
Object Detection (SP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (Q)
|
83% |
970
78.4 IPS |
|
|
Face Detection (SP)
|
100% |
1011
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
880
10.5 IPS |
|
|
Face Detection (Q)
|
95% |
2433
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1248
9.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
1240
9.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
2433
22.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2650
3.44 IPS |
|
|
Style Transfer (HP)
|
89% |
2643
3.43 IPS |
|
|
Style Transfer (Q)
|
98% |
6259
8.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
642
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
636
23.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1463
54.2 IPS |
|
|
Text Classification (SP)
|
100% |
352
470.1 IPS |
|
|
Text Classification (HP)
|
100% |
355
474.2 IPS |
|
|
Text Classification (Q)
|
88% |
658
888.0 IPS |
|
|
Machine Translation (SP)
|
100% |
519
8.94 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.82 IPS |
|
|
Machine Translation (Q)
|
50% |
323
11.5 IPS |
