Samsung Galaxy S21 FE
Geekbench AI Score
422
Single Precision Score
550
Half Precision Score
647
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 03:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
202
37.6 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.9 IPS |
|
|
Image Classification (Q)
|
99% |
545
101.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
474
7.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
567
9.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
1652
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
6297
7.35 IPS |
|
|
Pose Estimation (Q)
|
98% |
1475
1.73 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
87% |
594
47.7 IPS |
|
|
Face Detection (SP)
|
100% |
460
5.47 IPS |
|
|
Face Detection (HP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (Q)
|
97% |
1107
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
401
3.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
405
3.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
1060
9.62 IPS |
|
|
Style Transfer (SP)
|
100% |
859
1.10 IPS |
|
|
Style Transfer (HP)
|
100% |
676
0.87 IPS |
|
|
Style Transfer (Q)
|
98% |
880
1.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
653
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
989
36.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
864
32.0 IPS |
|
|
Text Classification (SP)
|
100% |
131
175.0 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.7 IPS |
|
|
Text Classification (Q)
|
91% |
139
186.6 IPS |
|
|
Machine Translation (SP)
|
100% |
461
7.93 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (Q)
|
57% |
385
9.41 IPS |
