samsung SM-A065F
Geekbench AI Score
237
Single Precision Score
227
Half Precision Score
383
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Jcyrix54 |
| Upload Date | October 21 2025 11:48 PM |
| Views | 3 |
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% |
88
16.4 IPS |
|
|
Image Classification (HP)
|
100% |
85
15.7 IPS |
|
|
Image Classification (Q)
|
100% |
208
38.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
148
2.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
123
1.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
275
4.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
618
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
590
0.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
854
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.81 IPS |
|
|
Object Detection (Q)
|
83% |
280
22.6 IPS |
|
|
Face Detection (SP)
|
100% |
320
3.80 IPS |
|
|
Face Detection (HP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (Q)
|
95% |
778
9.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
420
3.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
375
2.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
747
6.85 IPS |
|
|
Style Transfer (SP)
|
89% |
1097
1.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1192
1.55 IPS |
|
|
Style Transfer (Q)
|
98% |
1321
1.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
174
6.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
177
6.53 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
426
15.8 IPS |
|
|
Text Classification (SP)
|
100% |
110
146.6 IPS |
|
|
Text Classification (HP)
|
100% |
121
161.3 IPS |
|
|
Text Classification (Q)
|
88% |
172
231.9 IPS |
|
|
Machine Translation (SP)
|
100% |
199
3.43 IPS |
|
|
Machine Translation (HP)
|
100% |
160
2.75 IPS |
|
|
Machine Translation (Q)
|
50% |
89
3.15 IPS |
