[2025] Phone: Samsung Galaxy A36 G5 [SM-A366B] samsung SM-A366B
Geekbench AI Score
933
Single Precision Score
922
Half Precision Score
1992
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | inc7007 |
| Upload Date | November 28 2025 03:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
456
84.7 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.4 IPS |
|
|
Image Classification (Q)
|
100% |
1442
268.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
535
8.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
1631
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2024
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2042
2.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
3766
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
457
36.2 IPS |
|
|
Object Detection (HP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
83% |
1387
112.1 IPS |
|
|
Face Detection (SP)
|
100% |
1159
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1153
13.7 IPS |
|
|
Face Detection (Q)
|
95% |
3395
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1608
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1612
12.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3407
31.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3770
4.89 IPS |
|
|
Style Transfer (HP)
|
89% |
3685
4.78 IPS |
|
|
Style Transfer (Q)
|
98% |
8591
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
881
32.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
871
32.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2033
75.3 IPS |
|
|
Text Classification (SP)
|
100% |
490
654.5 IPS |
|
|
Text Classification (HP)
|
100% |
489
652.3 IPS |
|
|
Text Classification (Q)
|
88% |
904
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
440
15.6 IPS |
