Samsung Galaxy S21 FE
Geekbench AI Score
1053
Single Precision Score
1701
Half Precision Score
1363
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 21 2025 05:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
653
121.4 IPS |
|
|
Image Classification (HP)
|
100% |
1214
225.8 IPS |
|
|
Image Classification (Q)
|
97% |
1031
192.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1092
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1987
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4771
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
9400
11.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9208
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
492
39.0 IPS |
|
|
Object Detection (HP)
|
99% |
856
67.9 IPS |
|
|
Object Detection (Q)
|
83% |
791
63.9 IPS |
|
|
Face Detection (SP)
|
100% |
1881
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
3427
40.7 IPS |
|
|
Face Detection (Q)
|
96% |
2789
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2576
19.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4255
32.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
3375
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7945
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16865
21.7 IPS |
|
|
Style Transfer (Q)
|
98% |
16317
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1360
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2704
99.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2714
100.6 IPS |
|
|
Text Classification (SP)
|
35% |
36
323.5 IPS |
|
|
Text Classification (HP)
|
29% |
25
437.4 IPS |
|
|
Text Classification (Q)
|
29% |
25
430.3 IPS |
|
|
Machine Translation (SP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
43% |
143
8.33 IPS |
