[2025] Phone: Samsung Galaxy A36 G5 [SM-A366B] samsung SM-A366B
Geekbench AI Score
882
Single Precision Score
872
Half Precision Score
1805
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | inc7007 |
| Upload Date | November 28 2025 03:49 AM |
| Views | 1 |
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% |
414
76.9 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.5 IPS |
|
|
Image Classification (Q)
|
100% |
1370
254.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
505
8.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
520
8.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
1593
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2056
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1967
2.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
3618
4.29 IPS |
|
|
Object Detection (SP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (HP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (Q)
|
83% |
1197
96.7 IPS |
|
|
Face Detection (SP)
|
100% |
1078
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1086
12.9 IPS |
|
|
Face Detection (Q)
|
95% |
3010
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1553
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1548
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3079
28.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3514
4.56 IPS |
|
|
Style Transfer (HP)
|
89% |
3512
4.56 IPS |
|
|
Style Transfer (Q)
|
98% |
7495
9.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
827
30.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
826
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1784
66.1 IPS |
|
|
Text Classification (SP)
|
100% |
429
572.6 IPS |
|
|
Text Classification (HP)
|
100% |
424
565.9 IPS |
|
|
Text Classification (Q)
|
88% |
799
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (Q)
|
50% |
393
14.0 IPS |
