Samsung Galaxy A54
Geekbench AI Score
874
Single Precision Score
870
Half Precision Score
1901
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | DesolateIntention |
| Upload Date | August 16 2024 01:50 AM |
| Views | 89 |
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% |
443
82.4 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.2 IPS |
|
|
Image Classification (Q)
|
100% |
1414
262.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
517
8.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
528
8.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
1620
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1890
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1847
2.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
3419
4.06 IPS |
|
|
Object Detection (SP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (HP)
|
100% |
404
32.0 IPS |
|
|
Object Detection (Q)
|
87% |
1281
102.8 IPS |
|
|
Face Detection (SP)
|
100% |
1140
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1139
13.5 IPS |
|
|
Face Detection (Q)
|
95% |
3174
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1476
11.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
1517
11.7 IPS |
|
|
Depth Estimation (Q)
|
75% |
3545
28.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3275
4.25 IPS |
|
|
Style Transfer (HP)
|
89% |
3229
4.19 IPS |
|
|
Style Transfer (Q)
|
98% |
7883
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
881
32.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
890
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1924
71.3 IPS |
|
|
Text Classification (SP)
|
100% |
483
644.6 IPS |
|
|
Text Classification (HP)
|
100% |
472
629.6 IPS |
|
|
Text Classification (Q)
|
88% |
868
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
416
14.8 IPS |
