Samsung Galaxy A54
Geekbench AI Score
780
Single Precision Score
778
Half Precision Score
1628
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ppwozniak |
| Upload Date | January 23 2025 11:04 AM |
| Views | 9 |
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-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% |
400
74.3 IPS |
|
|
Image Classification (HP)
|
100% |
403
74.9 IPS |
|
|
Image Classification (Q)
|
100% |
1291
240.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
465
7.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
480
7.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
1499
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1747
2.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
1753
2.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
3272
3.88 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
388
30.8 IPS |
|
|
Object Detection (Q)
|
83% |
1174
94.9 IPS |
|
|
Face Detection (SP)
|
100% |
967
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
968
11.5 IPS |
|
|
Face Detection (Q)
|
95% |
2845
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1346
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1325
10.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2668
24.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3062
3.98 IPS |
|
|
Style Transfer (HP)
|
89% |
3062
3.98 IPS |
|
|
Style Transfer (Q)
|
98% |
6245
8.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
739
27.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1566
58.0 IPS |
|
|
Text Classification (SP)
|
100% |
381
509.0 IPS |
|
|
Text Classification (HP)
|
100% |
375
500.4 IPS |
|
|
Text Classification (Q)
|
88% |
731
985.6 IPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.79 IPS |
|
|
Machine Translation (Q)
|
50% |
325
11.6 IPS |
