Samsung Galaxy A54
Geekbench AI Score
102
Single Precision Score
138
Half Precision Score
395
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 28 2025 09:56 PM |
| Views | 1 |
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-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% |
95
17.7 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.7 IPS |
|
|
Image Classification (Q)
|
99% |
251
46.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
278
4.51 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
0.10 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
2.87 IPS |
|
|
Pose Estimation (Q)
|
98% |
655
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
95
7.52 IPS |
|
|
Object Detection (HP)
|
100% |
95
7.54 IPS |
|
|
Object Detection (Q)
|
87% |
271
21.7 IPS |
|
|
Face Detection (SP)
|
100% |
255
3.03 IPS |
|
|
Face Detection (HP)
|
100% |
257
3.05 IPS |
|
|
Face Detection (Q)
|
97% |
551
6.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
214
1.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
215
1.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
516
4.68 IPS |
|
|
Style Transfer (SP)
|
100% |
378
0.49 IPS |
|
|
Style Transfer (HP)
|
100% |
387
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1097
1.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68
2.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
859
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
362
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
134
178.3 IPS |
|
|
Text Classification (HP)
|
100% |
145
193.1 IPS |
|
|
Text Classification (Q)
|
91% |
315
423.7 IPS |
|
|
Machine Translation (SP)
|
100% |
247
4.25 IPS |
|
|
Machine Translation (HP)
|
100% |
247
4.25 IPS |
|
|
Machine Translation (Q)
|
57% |
214
5.23 IPS |
