Samsung Galaxy S21 FE
Geekbench AI Score
658
Single Precision Score
648
Half Precision Score
1161
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 12:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
298
55.4 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
100% |
789
146.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
1005
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1447
1.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1453
1.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
2091
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (HP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (Q)
|
83% |
813
65.7 IPS |
|
|
Face Detection (SP)
|
100% |
931
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (Q)
|
95% |
2005
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1325
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1184
9.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
1885
17.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2427
3.15 IPS |
|
|
Style Transfer (HP)
|
89% |
2419
3.14 IPS |
|
|
Style Transfer (Q)
|
98% |
4472
5.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
745
27.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
727
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1167
43.2 IPS |
|
|
Text Classification (SP)
|
100% |
306
408.8 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.1 IPS |
|
|
Text Classification (Q)
|
88% |
531
716.8 IPS |
|
|
Machine Translation (SP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (Q)
|
50% |
317
11.2 IPS |
