samsung SM-A055F
Geekbench AI Score
277
Single Precision Score
261
Half Precision Score
487
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 01:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A055F |
| Model ID | samsung SM-A055F |
| Motherboard | a05m |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
184
34.3 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.3 IPS |
|
|
Image Classification (Q)
|
100% |
534
99.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
193
3.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
555
9.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
639
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
590
0.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
1016
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (Q)
|
83% |
293
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
369
4.38 IPS |
|
|
Face Detection (HP)
|
100% |
334
3.97 IPS |
|
|
Face Detection (Q)
|
95% |
710
8.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
388
2.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
331
2.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
694
6.35 IPS |
|
|
Style Transfer (SP)
|
89% |
1048
1.36 IPS |
|
|
Style Transfer (HP)
|
89% |
962
1.25 IPS |
|
|
Style Transfer (Q)
|
98% |
2062
2.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
243
8.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
212
7.84 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
471
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
135
179.7 IPS |
|
|
Text Classification (HP)
|
100% |
128
171.1 IPS |
|
|
Text Classification (Q)
|
88% |
173
232.7 IPS |
|
|
Machine Translation (SP)
|
100% |
190
3.27 IPS |
|
|
Machine Translation (HP)
|
100% |
201
3.46 IPS |
|
|
Machine Translation (Q)
|
50% |
103
3.65 IPS |
