Samsung Galaxy A54
Geekbench AI Score
674
Single Precision Score
1081
Half Precision Score
1408
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 19 2026 05:37 PM |
| Views | 7 |
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% |
163
30.3 IPS |
|
|
Image Classification (HP)
|
100% |
337
62.6 IPS |
|
|
Image Classification (Q)
|
99% |
662
123.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
424
6.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
586
9.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
921
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1653
1.93 IPS |
|
|
Pose Estimation (HP)
|
92% |
3369
3.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
2801
3.28 IPS |
|
|
Object Detection (SP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (HP)
|
97% |
614
48.9 IPS |
|
|
Object Detection (Q)
|
85% |
1013
81.6 IPS |
|
|
Face Detection (SP)
|
100% |
947
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
1658
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
2495
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1366
10.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2139
16.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2624
24.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2796
3.63 IPS |
|
|
Style Transfer (HP)
|
88% |
3488
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
6017
7.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
657
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1317
49.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1576
58.4 IPS |
|
|
Text Classification (SP)
|
100% |
364
486.1 IPS |
|
|
Text Classification (HP)
|
100% |
535
713.9 IPS |
|
|
Text Classification (Q)
|
93% |
640
859.0 IPS |
|
|
Machine Translation (SP)
|
100% |
560
9.65 IPS |
|
|
Machine Translation (HP)
|
96% |
612
10.6 IPS |
|
|
Machine Translation (Q)
|
55% |
446
12.0 IPS |
