Samsung Galaxy A54
Geekbench AI Score
712
Single Precision Score
688
Half Precision Score
1402
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 07 2025 08:57 PM |
| Views | 3 |
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 | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
376
70.0 IPS |
|
|
Image Classification (HP)
|
100% |
373
69.4 IPS |
|
|
Image Classification (Q)
|
100% |
1137
211.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
447
7.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
423
6.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
1182
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1562
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1527
1.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
2703
3.21 IPS |
|
|
Object Detection (SP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (HP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
83% |
908
73.4 IPS |
|
|
Face Detection (SP)
|
100% |
1013
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
898
10.7 IPS |
|
|
Face Detection (Q)
|
95% |
2296
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1219
9.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
1252
9.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
2291
21.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2679
3.48 IPS |
|
|
Style Transfer (HP)
|
89% |
2581
3.35 IPS |
|
|
Style Transfer (Q)
|
98% |
5908
7.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
690
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
640
23.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1406
52.1 IPS |
|
|
Text Classification (SP)
|
100% |
338
451.1 IPS |
|
|
Text Classification (HP)
|
100% |
344
458.5 IPS |
|
|
Text Classification (Q)
|
88% |
644
868.8 IPS |
|
|
Machine Translation (SP)
|
100% |
526
9.06 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (Q)
|
50% |
317
11.2 IPS |
