Samsung Galaxy S20 FE
Geekbench AI Score
884
Single Precision Score
814
Half Precision Score
1491
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 01:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 990 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 FE |
| Model ID | samsung SM-G780F |
| Motherboard | exynos990 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 4 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.50 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
427
79.4 IPS |
|
|
Image Classification (HP)
|
100% |
417
77.5 IPS |
|
|
Image Classification (Q)
|
100% |
1099
204.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
528
8.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
527
8.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
1211
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2017
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2017
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
3031
3.59 IPS |
|
|
Object Detection (SP)
|
100% |
428
33.9 IPS |
|
|
Object Detection (HP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (Q)
|
83% |
1090
88.0 IPS |
|
|
Face Detection (SP)
|
100% |
1254
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1221
14.5 IPS |
|
|
Face Detection (Q)
|
95% |
2469
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1561
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1560
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2684
24.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3500
4.54 IPS |
|
|
Style Transfer (HP)
|
89% |
3511
4.56 IPS |
|
|
Style Transfer (Q)
|
98% |
6519
8.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
899
33.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
880
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1599
59.2 IPS |
|
|
Text Classification (SP)
|
100% |
381
509.0 IPS |
|
|
Text Classification (HP)
|
100% |
187
249.7 IPS |
|
|
Text Classification (Q)
|
88% |
539
726.5 IPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
50% |
332
11.8 IPS |
