Samsung Galaxy A54
Geekbench AI Score
711
Single Precision Score
698
Half Precision Score
1421
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 27 2025 03:42 AM |
| Views | 6 |
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-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% |
348
64.8 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.1 IPS |
|
|
Image Classification (Q)
|
100% |
1004
186.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
407
6.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
1191
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1515
1.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
1535
1.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
2691
3.19 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (Q)
|
83% |
975
78.7 IPS |
|
|
Face Detection (SP)
|
100% |
1021
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
902
10.7 IPS |
|
|
Face Detection (Q)
|
95% |
2358
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1368
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1371
10.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2416
22.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2652
3.44 IPS |
|
|
Style Transfer (HP)
|
89% |
2674
3.47 IPS |
|
|
Style Transfer (Q)
|
98% |
5894
7.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
643
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
691
25.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1454
53.9 IPS |
|
|
Text Classification (SP)
|
100% |
376
501.6 IPS |
|
|
Text Classification (HP)
|
100% |
371
495.2 IPS |
|
|
Text Classification (Q)
|
88% |
683
921.5 IPS |
|
|
Machine Translation (SP)
|
100% |
581
10.00 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.40 IPS |
|
|
Machine Translation (Q)
|
50% |
322
11.4 IPS |
