samsung SM-A065F
Geekbench AI Score
77
Single Precision Score
81
Half Precision Score
113
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 07 2025 09:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6769V/CZ |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A065F |
| Model ID | samsung SM-A065F |
| Motherboard | a06 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
38
7.12 IPS |
|
|
Image Classification (HP)
|
100% |
34
6.37 IPS |
|
|
Image Classification (Q)
|
100% |
70
13.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
56
0.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
50
0.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
143
2.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
191
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
232
0.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
231
0.27 IPS |
|
|
Object Detection (SP)
|
100% |
35
2.81 IPS |
|
|
Object Detection (HP)
|
100% |
40
3.15 IPS |
|
|
Object Detection (Q)
|
83% |
76
6.12 IPS |
|
|
Face Detection (SP)
|
100% |
116
1.38 IPS |
|
|
Face Detection (HP)
|
100% |
143
1.70 IPS |
|
|
Face Detection (Q)
|
95% |
207
2.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
181
1.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
123
0.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
162
1.48 IPS |
|
|
Style Transfer (SP)
|
89% |
469
0.61 IPS |
|
|
Style Transfer (HP)
|
89% |
404
0.52 IPS |
|
|
Style Transfer (Q)
|
98% |
586
0.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
83
3.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
108
3.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
114
4.23 IPS |
|
|
Text Classification (SP)
|
100% |
17
22.5 IPS |
|
|
Text Classification (HP)
|
100% |
25
33.0 IPS |
|
|
Text Classification (Q)
|
88% |
41
54.7 IPS |
|
|
Machine Translation (SP)
|
100% |
42
0.72 IPS |
|
|
Machine Translation (HP)
|
100% |
45
0.77 IPS |
|
|
Machine Translation (Q)
|
50% |
22
0.78 IPS |
