[2025] Phone: Samsung Galaxy A36 G5 [SM-A366B] samsung SM-A366B
Geekbench AI Score
532
Single Precision Score
926
Half Precision Score
738
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | inc7007 |
| Upload Date | November 22 2025 05:21 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A366B |
| Model ID | samsung SM-A366B |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
405
75.3 IPS |
|
|
Image Classification (HP)
|
100% |
672
124.9 IPS |
|
|
Image Classification (Q)
|
100% |
626
116.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
583
9.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
1004
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
950
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1955
2.28 IPS |
|
|
Pose Estimation (HP)
|
99% |
3780
4.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
3753
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
359
28.5 IPS |
|
|
Object Detection (HP)
|
99% |
596
47.3 IPS |
|
|
Object Detection (Q)
|
87% |
562
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
1015
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
2003
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
1747
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1167
8.99 IPS |
|
|
Depth Estimation (HP)
|
98% |
2321
17.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
1706
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2154
2.77 IPS |
|
|
Style Transfer (HP)
|
100% |
4519
5.81 IPS |
|
|
Style Transfer (Q)
|
98% |
4502
5.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1011
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
989
36.6 IPS |
|
|
Text Classification (SP)
|
35% |
22
213.7 IPS |
|
|
Text Classification (HP)
|
35% |
34
310.9 IPS |
|
|
Text Classification (Q)
|
33% |
26
307.7 IPS |
|
|
Machine Translation (SP)
|
100% |
370
6.37 IPS |
|
|
Machine Translation (HP)
|
97% |
426
7.37 IPS |
|
|
Machine Translation (Q)
|
43% |
112
6.39 IPS |
