Samsung Galaxy A54
Geekbench AI Score
768
Single Precision Score
759
Half Precision Score
1509
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 02:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 1380 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
429
79.8 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.2 IPS |
|
|
Image Classification (Q)
|
100% |
1296
241.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
472
7.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
1526
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1766
2.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
1720
2.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
2908
3.45 IPS |
|
|
Object Detection (SP)
|
100% |
370
29.4 IPS |
|
|
Object Detection (HP)
|
100% |
370
29.4 IPS |
|
|
Object Detection (Q)
|
83% |
1079
87.2 IPS |
|
|
Face Detection (SP)
|
100% |
1062
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1008
12.0 IPS |
|
|
Face Detection (Q)
|
95% |
2363
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1234
9.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
1286
9.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
2535
23.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3008
3.90 IPS |
|
|
Style Transfer (HP)
|
89% |
2919
3.79 IPS |
|
|
Style Transfer (Q)
|
98% |
5854
7.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
669
24.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
706
26.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1381
51.2 IPS |
|
|
Text Classification (SP)
|
100% |
351
468.4 IPS |
|
|
Text Classification (HP)
|
100% |
349
465.6 IPS |
|
|
Text Classification (Q)
|
88% |
637
858.9 IPS |
|
|
Machine Translation (SP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
554
9.55 IPS |
|
|
Machine Translation (Q)
|
50% |
321
11.4 IPS |
