samsung SM-A253Z
Geekbench AI Score
487
Single Precision Score
487
Half Precision Score
914
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dipsan |
| Upload Date | February 27 2025 11:41 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A253Z |
| Model ID | samsung SM-A253Z |
| Motherboard | a25ex |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
212
39.5 IPS |
|
|
Image Classification (HP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (Q)
|
100% |
629
116.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
264
4.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
264
4.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
699
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1033
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1036
1.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
1573
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
83% |
613
49.5 IPS |
|
|
Face Detection (SP)
|
100% |
706
8.39 IPS |
|
|
Face Detection (HP)
|
100% |
710
8.43 IPS |
|
|
Face Detection (Q)
|
95% |
1423
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
896
6.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
904
6.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
1444
13.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1744
2.26 IPS |
|
|
Style Transfer (HP)
|
89% |
1755
2.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3603
4.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
461
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
865
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
262
349.2 IPS |
|
|
Text Classification (HP)
|
100% |
263
351.3 IPS |
|
|
Text Classification (Q)
|
88% |
467
630.3 IPS |
|
|
Machine Translation (SP)
|
100% |
455
7.84 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.81 IPS |
|
|
Machine Translation (Q)
|
50% |
323
11.5 IPS |
