Samsung Galaxy S21 FE
Geekbench AI Score
902
Single Precision Score
892
Half Precision Score
1675
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 24 2024 02:27 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 | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
590
109.8 IPS |
|
|
Image Classification (HP)
|
100% |
552
102.6 IPS |
|
|
Image Classification (Q)
|
100% |
1607
298.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1832
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2331
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1899
2.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
2884
3.42 IPS |
|
|
Object Detection (SP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (HP)
|
100% |
346
27.5 IPS |
|
|
Object Detection (Q)
|
83% |
1009
81.5 IPS |
|
|
Face Detection (SP)
|
100% |
1278
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1278
15.2 IPS |
|
|
Face Detection (Q)
|
95% |
2663
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1528
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1522
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2553
23.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3094
4.02 IPS |
|
|
Style Transfer (HP)
|
89% |
3199
4.15 IPS |
|
|
Style Transfer (Q)
|
98% |
6166
7.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
822
30.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
864
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1610
59.6 IPS |
|
|
Text Classification (SP)
|
100% |
420
559.9 IPS |
|
|
Text Classification (HP)
|
100% |
405
540.5 IPS |
|
|
Text Classification (Q)
|
88% |
741
998.9 IPS |
|
|
Machine Translation (SP)
|
100% |
550
9.48 IPS |
|
|
Machine Translation (HP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (Q)
|
50% |
408
14.5 IPS |
