samsung SM-A236U
Geekbench AI Score
166
Single Precision Score
274
Half Precision Score
286
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 2048 |
| Upload Date | June 30 2025 10:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A236U |
| Model ID | samsung SM-A236U |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
55
10.2 IPS |
|
|
Image Classification (HP)
|
100% |
90
16.7 IPS |
|
|
Image Classification (Q)
|
97% |
95
17.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
78
1.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
277
4.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
287
0.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
286
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
96
7.64 IPS |
|
|
Object Detection (HP)
|
100% |
146
11.5 IPS |
|
|
Object Detection (Q)
|
89% |
162
12.9 IPS |
|
|
Face Detection (SP)
|
100% |
265
3.14 IPS |
|
|
Face Detection (HP)
|
100% |
492
5.84 IPS |
|
|
Face Detection (Q)
|
97% |
503
6.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
254
1.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
438
3.38 IPS |
|
|
Depth Estimation (Q)
|
62% |
359
3.40 IPS |
|
|
Style Transfer (SP)
|
100% |
495
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
1060
1.36 IPS |
|
|
Style Transfer (Q)
|
98% |
1056
1.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
128
4.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
221
8.15 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
217
8.06 IPS |
|
|
Text Classification (SP)
|
100% |
162
215.8 IPS |
|
|
Text Classification (HP)
|
100% |
162
215.9 IPS |
|
|
Text Classification (Q)
|
91% |
310
417.2 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (Q)
|
57% |
237
5.80 IPS |
