samsung SM-A065M
Geekbench AI Score
389
Single Precision Score
398
Half Precision Score
790
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 05 2025 07:05 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-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% |
180
33.5 IPS |
|
|
Image Classification (HP)
|
100% |
216
40.1 IPS |
|
|
Image Classification (Q)
|
100% |
501
93.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
235
3.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
681
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
796
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
906
1.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
1582
1.88 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
239
18.9 IPS |
|
|
Object Detection (Q)
|
83% |
560
45.2 IPS |
|
|
Face Detection (SP)
|
100% |
493
5.86 IPS |
|
|
Face Detection (HP)
|
100% |
521
6.19 IPS |
|
|
Face Detection (Q)
|
95% |
1230
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
667
5.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
550
4.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
1441
13.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1860
2.41 IPS |
|
|
Style Transfer (HP)
|
89% |
1849
2.40 IPS |
|
|
Style Transfer (Q)
|
98% |
3665
4.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
330
12.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
901
33.4 IPS |
|
|
Text Classification (SP)
|
100% |
160
213.5 IPS |
|
|
Text Classification (HP)
|
100% |
200
266.6 IPS |
|
|
Text Classification (Q)
|
88% |
271
365.2 IPS |
|
|
Machine Translation (SP)
|
100% |
343
5.90 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (Q)
|
50% |
200
7.10 IPS |
