Samsung Galaxy S21 FE
Geekbench AI Score
731
Single Precision Score
699
Half Precision Score
1234
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 02:29 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 | 5.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
529
98.4 IPS |
|
|
Image Classification (HP)
|
100% |
476
88.4 IPS |
|
|
Image Classification (Q)
|
100% |
1188
221.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
519
8.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
443
7.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
1275
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1804
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1621
1.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
2106
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
307
24.4 IPS |
|
|
Object Detection (HP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (Q)
|
83% |
756
61.0 IPS |
|
|
Face Detection (SP)
|
100% |
998
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
928
11.0 IPS |
|
|
Face Detection (Q)
|
95% |
1952
23.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1226
9.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
1200
9.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
1902
17.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2480
3.22 IPS |
|
|
Style Transfer (HP)
|
89% |
2456
3.19 IPS |
|
|
Style Transfer (Q)
|
98% |
4640
5.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1204
44.6 IPS |
|
|
Text Classification (SP)
|
100% |
310
413.5 IPS |
|
|
Text Classification (HP)
|
100% |
304
405.3 IPS |
|
|
Text Classification (Q)
|
88% |
530
714.7 IPS |
|
|
Machine Translation (SP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (Q)
|
50% |
309
11.0 IPS |
