Samsung Galaxy A54
Geekbench AI Score
776
Single Precision Score
757
Half Precision Score
1576
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 02:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 1380 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy A54 |
| Model ID | samsung SM-A546B |
| 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% |
429
79.9 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (Q)
|
100% |
1309
243.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
480
7.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
475
7.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
1472
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1800
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1791
2.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
3349
3.97 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (Q)
|
83% |
1077
87.0 IPS |
|
|
Face Detection (SP)
|
100% |
954
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
946
11.2 IPS |
|
|
Face Detection (Q)
|
95% |
2565
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1300
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1305
10.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2572
23.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2911
3.78 IPS |
|
|
Style Transfer (HP)
|
89% |
2730
3.54 IPS |
|
|
Style Transfer (Q)
|
98% |
6221
8.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
721
26.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
718
26.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1484
55.0 IPS |
|
|
Text Classification (SP)
|
100% |
376
502.2 IPS |
|
|
Text Classification (HP)
|
100% |
376
501.3 IPS |
|
|
Text Classification (Q)
|
88% |
696
939.1 IPS |
|
|
Machine Translation (SP)
|
100% |
573
9.87 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.81 IPS |
|
|
Machine Translation (Q)
|
50% |
321
11.4 IPS |
