Samsung Galaxy A54
Geekbench AI Score
683
Single Precision Score
681
Half Precision Score
1388
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 25 2024 03:30 AM |
| Views | 6 |
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% |
374
69.6 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.7 IPS |
|
|
Image Classification (Q)
|
100% |
1209
224.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
393
6.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
1262
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1526
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1713
2.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
2872
3.41 IPS |
|
|
Object Detection (SP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (HP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (Q)
|
87% |
934
75.0 IPS |
|
|
Face Detection (SP)
|
100% |
977
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
943
11.2 IPS |
|
|
Face Detection (Q)
|
95% |
2160
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1249
9.62 IPS |
|
|
Depth Estimation (HP)
|
100% |
1265
9.74 IPS |
|
|
Depth Estimation (Q)
|
75% |
2318
18.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2521
3.27 IPS |
|
|
Style Transfer (HP)
|
89% |
2456
3.19 IPS |
|
|
Style Transfer (Q)
|
98% |
5685
7.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
617
22.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
700
25.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1346
49.9 IPS |
|
|
Text Classification (SP)
|
100% |
324
431.8 IPS |
|
|
Text Classification (HP)
|
100% |
315
420.7 IPS |
|
|
Text Classification (Q)
|
88% |
576
776.7 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.05 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
50% |
294
10.5 IPS |
