Samsung Galaxy A06 samsung SM-A065M
Geekbench AI Score
114
Single Precision Score
146
Half Precision Score
112
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Mario_Arnaut |
| Upload Date | March 28 2025 12:00 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM MT6769V/CZ |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A065M |
| Model ID | samsung SM-A065M |
| 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% |
96
17.9 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.1 IPS |
|
|
Image Classification (Q)
|
99% |
37
6.90 IPS |
|
|
Image Segmentation (SP)
|
100% |
99
1.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
67
1.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
72
1.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
420
0.49 IPS |
|
|
Pose Estimation (HP)
|
98% |
886
1.04 IPS |
|
|
Pose Estimation (Q)
|
57% |
755
1.25 IPS |
|
|
Object Detection (SP)
|
100% |
85
6.78 IPS |
|
|
Object Detection (HP)
|
100% |
50
3.96 IPS |
|
|
Object Detection (Q)
|
80% |
46
3.73 IPS |
|
|
Face Detection (SP)
|
28% |
17
3.09 IPS |
|
|
Face Detection (HP)
|
100% |
125
1.48 IPS |
|
|
Face Detection (Q)
|
97% |
107
1.27 IPS |
|
|
Depth Estimation (SP)
|
100% |
190
1.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
112
0.86 IPS |
|
|
Depth Estimation (Q)
|
57% |
133
1.45 IPS |
|
|
Style Transfer (SP)
|
100% |
319
0.41 IPS |
|
|
Style Transfer (HP)
|
100% |
211
0.27 IPS |
|
|
Style Transfer (Q)
|
98% |
1076
1.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
214
7.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
196
7.25 IPS |
|
|
Text Classification (SP)
|
100% |
42
56.5 IPS |
|
|
Text Classification (HP)
|
100% |
67
89.5 IPS |
|
|
Text Classification (Q)
|
93% |
12
16.3 IPS |
|
|
Machine Translation (SP)
|
100% |
122
2.10 IPS |
|
|
Machine Translation (HP)
|
100% |
122
2.10 IPS |
|
|
Machine Translation (Q)
|
57% |
97
2.37 IPS |
