Samsung Galaxy A36
Geekbench AI Score
918
Single Precision Score
1648
Half Precision Score
2086
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Guldberg85 |
| Upload Date | April 15 2026 11:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 6 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy A36 |
| 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 | 5.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
452
84.0 IPS |
|
|
Image Classification (HP)
|
100% |
930
173.0 IPS |
|
|
Image Classification (Q)
|
99% |
1442
268.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
521
8.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
1026
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1680
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2023
2.36 IPS |
|
|
Pose Estimation (HP)
|
92% |
4220
4.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
3813
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (HP)
|
97% |
899
71.6 IPS |
|
|
Object Detection (Q)
|
85% |
1396
112.4 IPS |
|
|
Face Detection (SP)
|
100% |
1099
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
2079
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
3431
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1562
12.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3127
24.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3158
29.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3682
4.78 IPS |
|
|
Style Transfer (HP)
|
88% |
4931
6.40 IPS |
|
|
Style Transfer (Q)
|
98% |
8533
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
868
32.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1724
64.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2071
76.7 IPS |
|
|
Text Classification (SP)
|
100% |
493
658.1 IPS |
|
|
Text Classification (HP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (Q)
|
93% |
949
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (HP)
|
96% |
911
15.7 IPS |
|
|
Machine Translation (Q)
|
55% |
667
17.9 IPS |
