[2025] Phone: Samsung Galaxy A36 G5 [SM-A366B] samsung SM-A366B
Geekbench AI Score
534
Single Precision Score
947
Half Precision Score
754
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | inc7007 |
| Upload Date | November 28 2025 03:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (HP)
|
100% |
704
130.9 IPS |
|
|
Image Classification (Q)
|
100% |
667
124.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
1025
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
983
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1996
2.33 IPS |
|
|
Pose Estimation (HP)
|
99% |
3836
4.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
3797
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
356
28.2 IPS |
|
|
Object Detection (HP)
|
99% |
603
47.8 IPS |
|
|
Object Detection (Q)
|
87% |
570
45.8 IPS |
|
|
Face Detection (SP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
2032
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
1783
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1182
9.11 IPS |
|
|
Depth Estimation (HP)
|
98% |
2333
18.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
1740
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2119
2.72 IPS |
|
|
Style Transfer (HP)
|
100% |
4582
5.89 IPS |
|
|
Style Transfer (Q)
|
98% |
4561
5.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
518
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1063
39.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1028
38.1 IPS |
|
|
Text Classification (SP)
|
35% |
22
216.3 IPS |
|
|
Text Classification (HP)
|
35% |
35
320.1 IPS |
|
|
Text Classification (Q)
|
33% |
26
317.0 IPS |
|
|
Machine Translation (SP)
|
100% |
379
6.52 IPS |
|
|
Machine Translation (HP)
|
97% |
434
7.51 IPS |
|
|
Machine Translation (Q)
|
43% |
111
6.32 IPS |
