Samsung Galaxy A54
Geekbench AI Score
458
Single Precision Score
815
Half Precision Score
657
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 08:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
260
48.3 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.3 IPS |
|
|
Image Classification (Q)
|
97% |
395
73.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
952
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2260
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
4392
5.12 IPS |
|
|
Pose Estimation (Q)
|
95% |
4261
4.99 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (HP)
|
99% |
473
37.5 IPS |
|
|
Object Detection (Q)
|
83% |
426
34.4 IPS |
|
|
Face Detection (SP)
|
100% |
944
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
1561
18.6 IPS |
|
|
Face Detection (Q)
|
96% |
1435
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1385
10.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2423
18.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
1901
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3600
4.63 IPS |
|
|
Style Transfer (HP)
|
100% |
7967
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
7382
9.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
645
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1137
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1141
42.3 IPS |
|
|
Text Classification (SP)
|
29% |
6
107.7 IPS |
|
|
Text Classification (HP)
|
29% |
10
165.6 IPS |
|
|
Text Classification (Q)
|
29% |
10
165.6 IPS |
|
|
Machine Translation (SP)
|
100% |
315
5.42 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (Q)
|
43% |
96
5.56 IPS |
