samsung SM-A065F
Geekbench AI Score
288
Single Precision Score
304
Half Precision Score
447
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 11:31 AM |
| Views | 2 |
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% |
166
30.9 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (Q)
|
100% |
417
77.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
160
2.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
294
4.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
500
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
470
0.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
519
0.62 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
83% |
325
26.3 IPS |
|
|
Face Detection (SP)
|
100% |
391
4.65 IPS |
|
|
Face Detection (HP)
|
100% |
350
4.15 IPS |
|
|
Face Detection (Q)
|
95% |
957
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
408
3.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
455
3.51 IPS |
|
|
Depth Estimation (Q)
|
64% |
605
5.54 IPS |
|
|
Style Transfer (SP)
|
89% |
1310
1.70 IPS |
|
|
Style Transfer (HP)
|
89% |
1340
1.74 IPS |
|
|
Style Transfer (Q)
|
98% |
2193
2.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
522
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
173
231.1 IPS |
|
|
Text Classification (HP)
|
100% |
233
311.3 IPS |
|
|
Text Classification (Q)
|
88% |
152
205.0 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.04 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.38 IPS |
|
|
Machine Translation (Q)
|
50% |
154
5.47 IPS |
