Samsung Galaxy S21 FE
Geekbench AI Score
863
Single Precision Score
1527
Half Precision Score
1137
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 03:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
345
64.2 IPS |
|
|
Image Classification (HP)
|
100% |
766
142.5 IPS |
|
|
Image Classification (Q)
|
97% |
603
112.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1216
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1183
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3071
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
5363
6.26 IPS |
|
|
Pose Estimation (Q)
|
95% |
5360
6.28 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (HP)
|
99% |
502
39.8 IPS |
|
|
Object Detection (Q)
|
83% |
425
34.3 IPS |
|
|
Face Detection (SP)
|
100% |
1269
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2091
24.8 IPS |
|
|
Face Detection (Q)
|
96% |
1761
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2596
20.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4572
35.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
3562
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8022
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17369
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16315
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1479
54.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3108
114.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3118
115.6 IPS |
|
|
Text Classification (SP)
|
35% |
47
428.5 IPS |
|
|
Text Classification (HP)
|
35% |
69
624.9 IPS |
|
|
Text Classification (Q)
|
29% |
35
602.0 IPS |
|
|
Machine Translation (SP)
|
100% |
630
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (Q)
|
43% |
199
11.6 IPS |
