samsung SM-A055F
Geekbench AI Score
332
Single Precision Score
332
Half Precision Score
577
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 09:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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)
|
100% |
208
38.6 IPS |
|
|
Image Classification (HP)
|
100% |
207
38.4 IPS |
|
|
Image Classification (Q)
|
100% |
513
95.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
576
9.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
758
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
617
0.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
674
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
138
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.2 IPS |
|
|
Object Detection (Q)
|
83% |
446
36.1 IPS |
|
|
Face Detection (SP)
|
100% |
375
4.45 IPS |
|
|
Face Detection (HP)
|
100% |
427
5.08 IPS |
|
|
Face Detection (Q)
|
95% |
1123
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
501
3.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
472
3.64 IPS |
|
|
Depth Estimation (Q)
|
64% |
1022
9.36 IPS |
|
|
Style Transfer (SP)
|
89% |
1172
1.52 IPS |
|
|
Style Transfer (HP)
|
89% |
1443
1.87 IPS |
|
|
Style Transfer (Q)
|
98% |
1659
2.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
265
9.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
617
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
224
298.9 IPS |
|
|
Text Classification (HP)
|
100% |
217
289.5 IPS |
|
|
Text Classification (Q)
|
88% |
228
308.1 IPS |
|
|
Machine Translation (SP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (Q)
|
50% |
173
6.15 IPS |
