Samsung Galaxy A54
Geekbench AI Score
713
Single Precision Score
691
Half Precision Score
1438
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Namelessmint |
| Upload Date | August 16 2024 04:44 PM |
| Views | 5 |
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% |
392
72.9 IPS |
|
|
Image Classification (HP)
|
100% |
373
69.3 IPS |
|
|
Image Classification (Q)
|
100% |
1239
230.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
443
7.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
1428
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1702
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1597
1.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
2550
3.02 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.2 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
87% |
933
74.9 IPS |
|
|
Face Detection (SP)
|
100% |
883
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
801
9.52 IPS |
|
|
Face Detection (Q)
|
95% |
2292
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1221
9.41 IPS |
|
|
Depth Estimation (HP)
|
100% |
1250
9.63 IPS |
|
|
Depth Estimation (Q)
|
75% |
2579
20.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2599
3.37 IPS |
|
|
Style Transfer (HP)
|
89% |
2567
3.33 IPS |
|
|
Style Transfer (Q)
|
98% |
5861
7.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
758
28.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
732
27.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1399
51.8 IPS |
|
|
Text Classification (SP)
|
100% |
333
443.8 IPS |
|
|
Text Classification (HP)
|
100% |
323
430.7 IPS |
|
|
Text Classification (Q)
|
88% |
590
795.2 IPS |
|
|
Machine Translation (SP)
|
100% |
506
8.71 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.44 IPS |
|
|
Machine Translation (Q)
|
50% |
316
11.2 IPS |
