samsung SM-A235N
Geekbench AI Score
264
Single Precision Score
262
Half Precision Score
280
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | eunu |
| Upload Date | October 08 2025 09:19 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A235N |
| Model ID | samsung SM-A235N |
| Motherboard | bengal |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
131
24.3 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.6 IPS |
|
|
Image Classification (Q)
|
100% |
231
43.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
297
4.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
655
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
655
0.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
507
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
129
10.3 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.77 IPS |
|
|
Object Detection (Q)
|
83% |
231
18.7 IPS |
|
|
Face Detection (SP)
|
100% |
400
4.76 IPS |
|
|
Face Detection (HP)
|
100% |
397
4.72 IPS |
|
|
Face Detection (Q)
|
95% |
557
6.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
562
4.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
559
4.30 IPS |
|
|
Depth Estimation (Q)
|
64% |
336
3.08 IPS |
|
|
Style Transfer (SP)
|
89% |
852
1.11 IPS |
|
|
Style Transfer (HP)
|
89% |
853
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
847
1.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
198
7.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
196
7.23 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
197
7.30 IPS |
|
|
Text Classification (SP)
|
100% |
121
161.2 IPS |
|
|
Text Classification (HP)
|
100% |
119
158.8 IPS |
|
|
Text Classification (Q)
|
88% |
132
178.3 IPS |
|
|
Machine Translation (SP)
|
100% |
198
3.41 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.42 IPS |
|
|
Machine Translation (Q)
|
50% |
92
3.28 IPS |
