Samsung Galaxy A54
Geekbench AI Score
685
Single Precision Score
692
Half Precision Score
1383
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 04 2025 05:23 PM |
| Views | 3 |
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-A546E |
| 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% |
318
59.1 IPS |
|
|
Image Classification (HP)
|
100% |
320
59.5 IPS |
|
|
Image Classification (Q)
|
100% |
976
181.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
1163
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1443
1.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
1602
1.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
2647
3.14 IPS |
|
|
Object Detection (SP)
|
100% |
322
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
83% |
967
78.1 IPS |
|
|
Face Detection (SP)
|
100% |
910
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
1010
12.0 IPS |
|
|
Face Detection (Q)
|
95% |
2362
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1238
9.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
1235
9.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
2387
21.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2667
3.46 IPS |
|
|
Style Transfer (HP)
|
89% |
2668
3.46 IPS |
|
|
Style Transfer (Q)
|
98% |
5821
7.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
739
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
690
25.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1355
50.2 IPS |
|
|
Text Classification (SP)
|
100% |
345
461.1 IPS |
|
|
Text Classification (HP)
|
100% |
348
463.9 IPS |
|
|
Text Classification (Q)
|
88% |
632
851.7 IPS |
|
|
Machine Translation (SP)
|
100% |
520
8.96 IPS |
|
|
Machine Translation (HP)
|
100% |
499
8.59 IPS |
|
|
Machine Translation (Q)
|
50% |
314
11.1 IPS |
