Samsung Galaxy A54
Geekbench AI Score
125
Single Precision Score
164
Half Precision Score
518
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | guicamelp |
| Upload Date | October 30 2024 09:09 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
126
23.4 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.5 IPS |
|
|
Image Classification (Q)
|
99% |
340
63.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
380
6.17 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
0.11 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
2.89 IPS |
|
|
Pose Estimation (Q)
|
98% |
878
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (HP)
|
100% |
127
10.0 IPS |
|
|
Object Detection (Q)
|
87% |
366
29.3 IPS |
|
|
Face Detection (SP)
|
100% |
325
3.86 IPS |
|
|
Face Detection (HP)
|
100% |
327
3.89 IPS |
|
|
Face Detection (Q)
|
97% |
733
8.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
279
2.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
280
2.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
708
6.43 IPS |
|
|
Style Transfer (SP)
|
100% |
477
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
473
0.61 IPS |
|
|
Style Transfer (Q)
|
98% |
1334
1.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
82
3.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
858
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
496
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
181
241.4 IPS |
|
|
Text Classification (HP)
|
100% |
180
240.9 IPS |
|
|
Text Classification (Q)
|
91% |
345
463.3 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.26 IPS |
|
|
Machine Translation (Q)
|
57% |
287
7.00 IPS |
