Samsung Galaxy A54
Geekbench AI Score
714
Single Precision Score
714
Half Precision Score
1463
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 02 2025 05:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 1380 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
381
70.8 IPS |
|
|
Image Classification (HP)
|
100% |
399
74.1 IPS |
|
|
Image Classification (Q)
|
100% |
1260
234.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
460
7.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
1404
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1701
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
1652
1.93 IPS |
|
|
Pose Estimation (Q)
|
84% |
2675
3.17 IPS |
|
|
Object Detection (SP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.9 IPS |
|
|
Object Detection (Q)
|
83% |
961
77.6 IPS |
|
|
Face Detection (SP)
|
100% |
884
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
989
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
2328
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1210
9.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
1239
9.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
2375
21.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2654
3.45 IPS |
|
|
Style Transfer (HP)
|
89% |
2627
3.41 IPS |
|
|
Style Transfer (Q)
|
98% |
6091
7.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
661
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1474
54.6 IPS |
|
|
Text Classification (SP)
|
100% |
342
456.7 IPS |
|
|
Text Classification (HP)
|
100% |
337
450.0 IPS |
|
|
Text Classification (Q)
|
88% |
626
845.0 IPS |
|
|
Machine Translation (SP)
|
100% |
562
9.67 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.64 IPS |
|
|
Machine Translation (Q)
|
50% |
318
11.3 IPS |
