Samsung Galaxy S20 FE 5G
Geekbench AI Score
974
Single Precision Score
843
Half Precision Score
1606
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 09:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 FE 5G |
| Model ID | samsung SM-G781B |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
522
97.0 IPS |
|
|
Image Classification (HP)
|
100% |
540
100.5 IPS |
|
|
Image Classification (Q)
|
100% |
1496
278.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1709
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2208
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2164
2.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
3591
4.26 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (HP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (Q)
|
83% |
1443
116.6 IPS |
|
|
Face Detection (SP)
|
100% |
1594
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
1534
18.2 IPS |
|
|
Face Detection (Q)
|
95% |
3444
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1978
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1652
12.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3359
30.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3979
5.16 IPS |
|
|
Style Transfer (HP)
|
89% |
3901
5.06 IPS |
|
|
Style Transfer (Q)
|
98% |
8211
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1084
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1075
39.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1995
73.9 IPS |
|
|
Text Classification (SP)
|
100% |
576
768.6 IPS |
|
|
Text Classification (HP)
|
100% |
173
231.0 IPS |
|
|
Text Classification (Q)
|
88% |
282
380.7 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.43 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (Q)
|
50% |
162
5.76 IPS |
