Samsung Galaxy A54
Geekbench AI Score
666
Single Precision Score
651
Half Precision Score
1343
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 05:10 PM |
| Views | 3 |
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% |
342
63.6 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.8 IPS |
|
|
Image Classification (Q)
|
100% |
1116
207.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
414
6.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
413
6.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
1261
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1535
1.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1347
1.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
2585
3.07 IPS |
|
|
Object Detection (SP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (HP)
|
100% |
292
23.1 IPS |
|
|
Object Detection (Q)
|
83% |
891
72.0 IPS |
|
|
Face Detection (SP)
|
100% |
855
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
890
10.6 IPS |
|
|
Face Detection (Q)
|
95% |
2180
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1163
8.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
1173
9.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
2066
18.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2553
3.31 IPS |
|
|
Style Transfer (HP)
|
89% |
2424
3.15 IPS |
|
|
Style Transfer (Q)
|
98% |
5584
7.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
654
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
635
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1358
50.3 IPS |
|
|
Text Classification (SP)
|
100% |
312
416.4 IPS |
|
|
Text Classification (HP)
|
100% |
320
427.0 IPS |
|
|
Text Classification (Q)
|
88% |
569
766.8 IPS |
|
|
Machine Translation (SP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.97 IPS |
|
|
Machine Translation (Q)
|
50% |
304
10.8 IPS |
