Samsung Galaxy A54
Geekbench AI Score
804
Single Precision Score
784
Half Precision Score
1723
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 03:14 AM |
| 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 | 5.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
408
75.9 IPS |
|
|
Image Classification (HP)
|
100% |
408
75.9 IPS |
|
|
Image Classification (Q)
|
100% |
1299
241.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1503
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1754
2.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
1726
2.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
3281
3.89 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
381
30.3 IPS |
|
|
Object Detection (Q)
|
83% |
1223
98.8 IPS |
|
|
Face Detection (SP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1102
13.1 IPS |
|
|
Face Detection (Q)
|
95% |
2878
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1478
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1290
9.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
2909
26.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3074
3.99 IPS |
|
|
Style Transfer (HP)
|
89% |
2973
3.86 IPS |
|
|
Style Transfer (Q)
|
98% |
7106
9.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
698
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
705
26.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1688
62.5 IPS |
|
|
Text Classification (SP)
|
100% |
406
542.4 IPS |
|
|
Text Classification (HP)
|
100% |
399
532.4 IPS |
|
|
Text Classification (Q)
|
88% |
842
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
565
9.73 IPS |
|
|
Machine Translation (Q)
|
50% |
349
12.4 IPS |
