Samsung Galaxy A54
Geekbench AI Score
695
Single Precision Score
677
Half Precision Score
1431
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | guicamelp |
| Upload Date | October 30 2024 05:58 PM |
| Views | 10 |
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% |
346
64.4 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.9 IPS |
|
|
Image Classification (Q)
|
100% |
1244
231.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
385
6.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
1107
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1510
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1445
1.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
2812
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
332
26.3 IPS |
|
|
Object Detection (HP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (Q)
|
83% |
923
74.6 IPS |
|
|
Face Detection (SP)
|
100% |
865
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
884
10.5 IPS |
|
|
Face Detection (Q)
|
95% |
2338
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1252
9.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
1302
10.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2243
20.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2547
3.31 IPS |
|
|
Style Transfer (HP)
|
89% |
2541
3.30 IPS |
|
|
Style Transfer (Q)
|
98% |
6235
8.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
786
29.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1381
51.2 IPS |
|
|
Text Classification (SP)
|
100% |
327
435.9 IPS |
|
|
Text Classification (HP)
|
100% |
327
437.1 IPS |
|
|
Text Classification (Q)
|
88% |
606
816.9 IPS |
|
|
Machine Translation (SP)
|
100% |
563
9.69 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.31 IPS |
|
|
Machine Translation (Q)
|
50% |
369
13.1 IPS |
