Samsung Galaxy S21 FE
Geekbench AI Score
742
Single Precision Score
743
Half Precision Score
1316
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 17 2025 04:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
536
99.7 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.5 IPS |
|
|
Image Classification (Q)
|
100% |
1544
287.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
632
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1776
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1869
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1758
2.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
2192
2.60 IPS |
|
|
Object Detection (SP)
|
100% |
269
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (Q)
|
83% |
761
61.4 IPS |
|
|
Face Detection (SP)
|
100% |
926
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1009
12.0 IPS |
|
|
Face Detection (Q)
|
95% |
1959
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1237
9.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
1340
10.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
1889
17.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2411
3.13 IPS |
|
|
Style Transfer (HP)
|
89% |
2407
3.12 IPS |
|
|
Style Transfer (Q)
|
98% |
4633
5.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
708
26.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
734
27.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1175
43.5 IPS |
|
|
Text Classification (SP)
|
100% |
304
406.1 IPS |
|
|
Text Classification (HP)
|
100% |
304
406.1 IPS |
|
|
Text Classification (Q)
|
88% |
535
721.9 IPS |
|
|
Machine Translation (SP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (Q)
|
50% |
317
11.2 IPS |
