samsung SM-A326B
Geekbench AI Score
156
Single Precision Score
213
Half Precision Score
211
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 17 2024 03:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
100
18.7 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.8 IPS |
|
|
Image Classification (Q)
|
99% |
179
33.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
150
2.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
247
4.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
105
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
122
0.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
122
0.14 IPS |
|
|
Object Detection (SP)
|
100% |
79
6.26 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.2 IPS |
|
|
Object Detection (Q)
|
83% |
121
9.82 IPS |
|
|
Face Detection (SP)
|
100% |
305
3.62 IPS |
|
|
Face Detection (HP)
|
100% |
449
5.33 IPS |
|
|
Face Detection (Q)
|
97% |
433
5.16 IPS |
|
|
Depth Estimation (SP)
|
100% |
193
1.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
252
1.94 IPS |
|
|
Depth Estimation (Q)
|
62% |
204
1.93 IPS |
|
|
Style Transfer (SP)
|
100% |
391
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
535
0.69 IPS |
|
|
Style Transfer (Q)
|
98% |
530
0.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
93
3.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
138
5.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
136
5.03 IPS |
|
|
Text Classification (SP)
|
100% |
141
187.6 IPS |
|
|
Text Classification (HP)
|
100% |
140
187.4 IPS |
|
|
Text Classification (Q)
|
91% |
230
309.0 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.11 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.11 IPS |
|
|
Machine Translation (Q)
|
57% |
187
4.58 IPS |
