Samsung Galaxy A06 samsung SM-A065M
Geekbench AI Score
97
Single Precision Score
137
Half Precision Score
133
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Mario_Arnaut |
| Upload Date | March 31 2025 01:53 AM |
| Views | 5 |
| Notes | GPU Mediatek Helio-G85 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
72
13.3 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.2 IPS |
|
|
Image Classification (Q)
|
99% |
108
20.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
94
1.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
149
2.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
148
2.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
58
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
81
0.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
81
0.09 IPS |
|
|
Object Detection (SP)
|
100% |
57
4.51 IPS |
|
|
Object Detection (HP)
|
100% |
94
7.42 IPS |
|
|
Object Detection (Q)
|
83% |
89
7.22 IPS |
|
|
Face Detection (SP)
|
100% |
225
2.67 IPS |
|
|
Face Detection (HP)
|
100% |
328
3.90 IPS |
|
|
Face Detection (Q)
|
97% |
307
3.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
122
0.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
181
1.39 IPS |
|
|
Depth Estimation (Q)
|
62% |
136
1.29 IPS |
|
|
Style Transfer (SP)
|
100% |
232
0.30 IPS |
|
|
Style Transfer (HP)
|
100% |
373
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
370
0.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67
2.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
102
3.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
100
3.70 IPS |
|
|
Text Classification (SP)
|
100% |
68
91.4 IPS |
|
|
Text Classification (HP)
|
100% |
69
91.9 IPS |
|
|
Text Classification (Q)
|
91% |
103
138.3 IPS |
|
|
Machine Translation (SP)
|
100% |
121
2.08 IPS |
|
|
Machine Translation (HP)
|
100% |
123
2.11 IPS |
|
|
Machine Translation (Q)
|
57% |
96
2.34 IPS |
