Samsung Galaxy S21 FE
Geekbench AI Score
655
Single Precision Score
685
Half Precision Score
1180
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 20 2025 12:03 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S21 FE |
| Model ID | samsung SM-G990E |
| Motherboard | exynos2100 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores @ 2.21 GHz |
| Cluster 2 | 3 Cores @ 2.81 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
298
55.4 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.3 IPS |
|
|
Image Classification (Q)
|
100% |
836
155.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
362
5.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
512
8.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
984
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1462
1.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1434
1.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
2131
2.53 IPS |
|
|
Object Detection (SP)
|
100% |
292
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (Q)
|
83% |
831
67.1 IPS |
|
|
Face Detection (SP)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
869
10.3 IPS |
|
|
Face Detection (Q)
|
95% |
2030
24.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1332
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1330
10.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
1965
18.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2436
3.16 IPS |
|
|
Style Transfer (HP)
|
89% |
2417
3.14 IPS |
|
|
Style Transfer (Q)
|
98% |
4938
6.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
685
25.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
728
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1184
43.9 IPS |
|
|
Text Classification (SP)
|
100% |
299
398.8 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.7 IPS |
|
|
Text Classification (Q)
|
88% |
519
699.6 IPS |
|
|
Machine Translation (SP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (HP)
|
100% |
528
9.10 IPS |
|
|
Machine Translation (Q)
|
50% |
298
10.6 IPS |
