samsung SM-A055F
Geekbench AI Score
22
Single Precision Score
346
Half Precision Score
273
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 19 2025 08:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6769V/CZ |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A055F |
| Model ID | samsung SM-A055F |
| Motherboard | a05m |
| CPU Information | |
|---|---|
| Name | ARM MT6769V/CZ |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
20.0 IPS |
|
|
Image Classification (HP)
|
100% |
202
37.6 IPS |
|
|
Image Classification (Q)
|
97% |
191
35.6 IPS |
|
|
Image Segmentation (SP)
|
73% |
144
2.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
360
5.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
319
5.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
676
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1427
1.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
1406
1.65 IPS |
|
|
Object Detection (SP)
|
1% |
0
7.67 IPS |
|
|
Object Detection (HP)
|
99% |
199
15.8 IPS |
|
|
Object Detection (Q)
|
83% |
187
15.1 IPS |
|
|
Face Detection (SP)
|
0% |
0
4.56 IPS |
|
|
Face Detection (HP)
|
100% |
804
9.55 IPS |
|
|
Face Detection (Q)
|
96% |
695
8.29 IPS |
|
|
Depth Estimation (SP)
|
1% |
1
3.06 IPS |
|
|
Depth Estimation (HP)
|
98% |
802
6.20 IPS |
|
|
Depth Estimation (Q)
|
62% |
632
6.00 IPS |
|
|
Style Transfer (SP)
|
100% |
1007
1.29 IPS |
|
|
Style Transfer (HP)
|
100% |
2053
2.64 IPS |
|
|
Style Transfer (Q)
|
98% |
2017
2.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
514
19.1 IPS |
|
|
Text Classification (SP)
|
35% |
7
69.4 IPS |
|
|
Text Classification (HP)
|
35% |
8
72.3 IPS |
|
|
Text Classification (Q)
|
33% |
6
72.7 IPS |
|
|
Machine Translation (SP)
|
100% |
165
2.84 IPS |
|
|
Machine Translation (HP)
|
100% |
213
3.68 IPS |
|
|
Machine Translation (Q)
|
43% |
53
3.10 IPS |
