Samsung Galaxy A54
Geekbench AI Score
679
Single Precision Score
674
Half Precision Score
1362
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 05:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 1380 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
331
61.6 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.5 IPS |
|
|
Image Classification (Q)
|
100% |
964
179.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
1172
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1603
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1487
1.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
2781
3.30 IPS |
|
|
Object Detection (SP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
311
24.6 IPS |
|
|
Object Detection (Q)
|
83% |
915
73.9 IPS |
|
|
Face Detection (SP)
|
100% |
865
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
971
11.5 IPS |
|
|
Face Detection (Q)
|
95% |
2244
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1162
8.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
1172
9.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
2234
20.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2554
3.32 IPS |
|
|
Style Transfer (HP)
|
89% |
2643
3.43 IPS |
|
|
Style Transfer (Q)
|
98% |
5876
7.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1375
51.0 IPS |
|
|
Text Classification (SP)
|
100% |
329
439.3 IPS |
|
|
Text Classification (HP)
|
100% |
323
431.5 IPS |
|
|
Text Classification (Q)
|
88% |
592
798.5 IPS |
|
|
Machine Translation (SP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.52 IPS |
|
|
Machine Translation (Q)
|
50% |
319
11.3 IPS |
