Samsung Galaxy A54
Geekbench AI Score
706
Single Precision Score
696
Half Precision Score
1437
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 29 2024 04:34 AM |
| 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-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% |
281
52.2 IPS |
|
|
Image Classification (HP)
|
100% |
285
53.1 IPS |
|
|
Image Classification (Q)
|
100% |
914
170.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
1130
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1707
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1676
1.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
2862
3.39 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (Q)
|
83% |
972
78.6 IPS |
|
|
Face Detection (SP)
|
100% |
917
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
919
10.9 IPS |
|
|
Face Detection (Q)
|
95% |
2533
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1273
9.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
1309
10.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2554
23.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2889
3.75 IPS |
|
|
Style Transfer (HP)
|
89% |
2666
3.46 IPS |
|
|
Style Transfer (Q)
|
98% |
6161
7.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
699
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
697
25.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1472
54.5 IPS |
|
|
Text Classification (SP)
|
100% |
349
465.2 IPS |
|
|
Text Classification (HP)
|
100% |
371
494.8 IPS |
|
|
Text Classification (Q)
|
88% |
689
929.7 IPS |
|
|
Machine Translation (SP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (Q)
|
50% |
324
11.5 IPS |
