Samsung Galaxy A54
Geekbench AI Score
723
Single Precision Score
1185
Half Precision Score
1455
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 08 2026 09:33 PM |
| Views | 8 |
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-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% |
408
75.8 IPS |
|
|
Image Classification (HP)
|
100% |
804
149.5 IPS |
|
|
Image Classification (Q)
|
99% |
1076
200.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
432
7.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1188
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1609
1.88 IPS |
|
|
Pose Estimation (HP)
|
92% |
2908
3.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
2716
3.18 IPS |
|
|
Object Detection (SP)
|
100% |
307
24.4 IPS |
|
|
Object Detection (HP)
|
97% |
611
48.7 IPS |
|
|
Object Detection (Q)
|
85% |
936
75.4 IPS |
|
|
Face Detection (SP)
|
100% |
1008
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1520
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
2313
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1201
9.25 IPS |
|
|
Depth Estimation (HP)
|
98% |
2180
16.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2284
21.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2629
3.41 IPS |
|
|
Style Transfer (HP)
|
88% |
3480
4.52 IPS |
|
|
Style Transfer (Q)
|
98% |
5874
7.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
738
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1271
47.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1429
53.0 IPS |
|
|
Text Classification (SP)
|
100% |
335
447.2 IPS |
|
|
Text Classification (HP)
|
100% |
556
741.5 IPS |
|
|
Text Classification (Q)
|
93% |
632
848.6 IPS |
|
|
Machine Translation (SP)
|
100% |
572
9.85 IPS |
|
|
Machine Translation (HP)
|
96% |
640
11.1 IPS |
|
|
Machine Translation (Q)
|
55% |
470
12.6 IPS |
