samsung SM-A326B
Geekbench AI Score
403
Single Precision Score
401
Half Precision Score
707
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 11:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6853V/NZA |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A326B |
| Model ID | samsung SM-A326B |
| Motherboard | a32x |
| CPU Information | |
|---|---|
| Name | ARM MT6853V/NZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (HP)
|
100% |
170
31.6 IPS |
|
|
Image Classification (Q)
|
100% |
471
87.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
538
8.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
883
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
920
1.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
1202
1.43 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
182
14.4 IPS |
|
|
Object Detection (Q)
|
83% |
497
40.2 IPS |
|
|
Face Detection (SP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (HP)
|
100% |
573
6.81 IPS |
|
|
Face Detection (Q)
|
95% |
1065
12.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
757
5.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
763
5.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
1112
10.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1448
1.88 IPS |
|
|
Style Transfer (HP)
|
89% |
1448
1.88 IPS |
|
|
Style Transfer (Q)
|
98% |
2761
3.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
410
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
683
25.3 IPS |
|
|
Text Classification (SP)
|
100% |
192
256.9 IPS |
|
|
Text Classification (HP)
|
100% |
190
254.2 IPS |
|
|
Text Classification (Q)
|
88% |
349
470.3 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.43 IPS |
|
|
Machine Translation (HP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (Q)
|
50% |
266
9.44 IPS |
