Samsung Galaxy A06 samsung SM-A065M
Geekbench AI Score
285
Single Precision Score
318
Half Precision Score
569
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Mario_Arnaut |
| Upload Date | March 31 2025 12:55 AM |
| Views | 36 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
173
32.2 IPS |
|
|
Image Classification (HP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (Q)
|
100% |
360
67.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
233
3.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
704
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
625
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
557
0.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
789
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
109
8.65 IPS |
|
|
Object Detection (HP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (Q)
|
83% |
364
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
374
4.44 IPS |
|
|
Face Detection (HP)
|
100% |
409
4.86 IPS |
|
|
Face Detection (Q)
|
95% |
899
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
395
3.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
491
3.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
971
8.89 IPS |
|
|
Style Transfer (SP)
|
89% |
1265
1.64 IPS |
|
|
Style Transfer (HP)
|
89% |
1324
1.72 IPS |
|
|
Style Transfer (Q)
|
98% |
2163
2.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
275
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
280
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
650
24.1 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.3 IPS |
|
|
Text Classification (HP)
|
100% |
214
285.7 IPS |
|
|
Text Classification (Q)
|
88% |
230
309.9 IPS |
|
|
Machine Translation (SP)
|
100% |
155
2.68 IPS |
|
|
Machine Translation (HP)
|
100% |
179
3.09 IPS |
|
|
Machine Translation (Q)
|
50% |
176
6.27 IPS |
