[2025] Phone: Samsung Galaxy A36 G5 [SM-A366B] samsung SM-A366B
Geekbench AI Score
845
Single Precision Score
857
Half Precision Score
1502
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | inc7007 |
| Upload Date | November 22 2025 05:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
452
84.1 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.9 IPS |
|
|
Image Classification (Q)
|
100% |
1445
268.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
1669
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2058
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2043
2.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
3765
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (HP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (Q)
|
83% |
1391
112.4 IPS |
|
|
Face Detection (SP)
|
100% |
1140
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (Q)
|
95% |
3398
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
786
6.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
792
6.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
3416
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3679
4.78 IPS |
|
|
Style Transfer (HP)
|
89% |
3716
4.82 IPS |
|
|
Style Transfer (Q)
|
98% |
8621
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
885
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
879
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2022
74.9 IPS |
|
|
Text Classification (SP)
|
100% |
496
661.4 IPS |
|
|
Text Classification (HP)
|
100% |
489
652.6 IPS |
|
|
Text Classification (Q)
|
88% |
918
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
25
0.90 IPS |
