Samsung Galaxy S21 FE
Geekbench AI Score
768
Single Precision Score
762
Half Precision Score
1392
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 21 2025 05:40 PM |
| Views | 1 |
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 | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.8 IPS |
|
|
Image Classification (Q)
|
100% |
1328
247.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
584
9.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
583
9.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
1542
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2224
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2221
2.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
3303
3.92 IPS |
|
|
Object Detection (SP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (HP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (Q)
|
83% |
1272
102.8 IPS |
|
|
Face Detection (SP)
|
100% |
987
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
895
10.6 IPS |
|
|
Face Detection (Q)
|
95% |
1987
23.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1159
8.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
1173
9.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
1870
17.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2532
3.29 IPS |
|
|
Style Transfer (HP)
|
89% |
2400
3.12 IPS |
|
|
Style Transfer (Q)
|
98% |
4680
6.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
649
24.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1170
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.5 IPS |
|
|
Text Classification (HP)
|
100% |
296
394.9 IPS |
|
|
Text Classification (Q)
|
88% |
510
688.4 IPS |
|
|
Machine Translation (SP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (Q)
|
50% |
307
10.9 IPS |
