Samsung Galaxy A54
Geekbench AI Score
290
Single Precision Score
393
Half Precision Score
400
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | guicamelp |
| Upload Date | October 30 2024 06:23 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
215
39.9 IPS |
|
|
Image Classification (HP)
|
100% |
296
55.1 IPS |
|
|
Image Classification (Q)
|
99% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
272
4.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
454
7.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
224
0.26 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (HP)
|
100% |
298
23.7 IPS |
|
|
Object Detection (Q)
|
83% |
289
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
701
8.33 IPS |
|
|
Face Detection (HP)
|
100% |
1077
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
1004
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
367
2.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
478
3.69 IPS |
|
|
Depth Estimation (Q)
|
62% |
388
3.67 IPS |
|
|
Style Transfer (SP)
|
100% |
752
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
1077
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
1074
1.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
200
7.38 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
313
11.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
311
11.5 IPS |
|
|
Text Classification (SP)
|
100% |
180
240.7 IPS |
|
|
Text Classification (HP)
|
100% |
181
241.2 IPS |
|
|
Text Classification (Q)
|
91% |
345
464.3 IPS |
|
|
Machine Translation (SP)
|
100% |
306
5.28 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.26 IPS |
|
|
Machine Translation (Q)
|
57% |
287
7.01 IPS |
