Samsung Galaxy S21 FE
Geekbench AI Score
658
Single Precision Score
655
Half Precision Score
1178
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 03:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
353
65.7 IPS |
|
|
Image Classification (HP)
|
100% |
293
54.5 IPS |
|
|
Image Classification (Q)
|
100% |
854
158.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
361
5.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
990
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1441
1.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
1450
1.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
2111
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
293
23.3 IPS |
|
|
Object Detection (Q)
|
83% |
785
63.4 IPS |
|
|
Face Detection (SP)
|
100% |
922
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1016
12.1 IPS |
|
|
Face Detection (Q)
|
95% |
1991
23.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1240
9.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
1299
10.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
1888
17.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2428
3.15 IPS |
|
|
Style Transfer (HP)
|
89% |
2413
3.13 IPS |
|
|
Style Transfer (Q)
|
98% |
4945
6.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
743
27.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1177
43.6 IPS |
|
|
Text Classification (SP)
|
100% |
310
414.3 IPS |
|
|
Text Classification (HP)
|
100% |
311
415.2 IPS |
|
|
Text Classification (Q)
|
88% |
538
726.2 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (Q)
|
50% |
314
11.2 IPS |
