Samsung Galaxy A54
Geekbench AI Score
889
Single Precision Score
883
Half Precision Score
1901
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 05:56 PM |
| Views | 1 |
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-A546W |
| 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% |
443
82.3 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.7 IPS |
|
|
Image Classification (Q)
|
100% |
1413
262.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
512
8.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
532
8.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1626
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1866
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1871
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
3406
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
413
32.8 IPS |
|
|
Object Detection (HP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (Q)
|
83% |
1333
107.7 IPS |
|
|
Face Detection (SP)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1146
13.6 IPS |
|
|
Face Detection (Q)
|
95% |
3252
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1579
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1509
11.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3058
28.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3329
4.32 IPS |
|
|
Style Transfer (HP)
|
89% |
3275
4.25 IPS |
|
|
Style Transfer (Q)
|
98% |
7871
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
894
33.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
893
33.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1993
73.9 IPS |
|
|
Text Classification (SP)
|
100% |
499
665.5 IPS |
|
|
Text Classification (HP)
|
100% |
490
653.7 IPS |
|
|
Text Classification (Q)
|
88% |
918
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
414
14.7 IPS |
