[2025] Phone: Samsung Galaxy A36 G5 [SM-A366B] samsung SM-A366B
Geekbench AI Score
534
Single Precision Score
946
Half Precision Score
745
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | inc7007 |
| Upload Date | November 22 2025 05:26 AM |
| Views | 6 |
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% |
403
74.9 IPS |
|
|
Image Classification (HP)
|
100% |
690
128.4 IPS |
|
|
Image Classification (Q)
|
100% |
658
122.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
586
9.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
1014
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
963
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1970
2.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
3780
4.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
3741
4.38 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
99% |
599
47.5 IPS |
|
|
Object Detection (Q)
|
87% |
558
44.8 IPS |
|
|
Face Detection (SP)
|
100% |
1013
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
2019
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
1740
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1176
9.06 IPS |
|
|
Depth Estimation (HP)
|
98% |
2313
17.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
1714
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2162
2.78 IPS |
|
|
Style Transfer (HP)
|
100% |
4546
5.84 IPS |
|
|
Style Transfer (Q)
|
98% |
4525
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1032
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1007
37.3 IPS |
|
|
Text Classification (SP)
|
35% |
22
213.8 IPS |
|
|
Text Classification (HP)
|
35% |
34
312.9 IPS |
|
|
Text Classification (Q)
|
33% |
26
310.8 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (HP)
|
97% |
491
8.49 IPS |
|
|
Machine Translation (Q)
|
43% |
113
6.41 IPS |
