Samsung Galaxy S21+ 5G
Geekbench AI Score
633
Single Precision Score
567
Half Precision Score
1094
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Jkm20 |
| Upload Date | March 26 2025 06:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21+ 5G |
| Model ID | samsung SM-G996B |
| 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 | 7.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
396
73.6 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.6 IPS |
|
|
Image Classification (Q)
|
100% |
1320
245.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
524
8.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
504
8.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1479
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1847
2.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1538
1.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
1903
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
259
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (Q)
|
83% |
674
54.4 IPS |
|
|
Face Detection (SP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (HP)
|
100% |
568
6.75 IPS |
|
|
Face Detection (Q)
|
95% |
1747
20.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1076
8.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
997
7.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
1786
16.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2375
3.08 IPS |
|
|
Style Transfer (HP)
|
89% |
2555
3.32 IPS |
|
|
Style Transfer (Q)
|
98% |
5067
6.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
398
14.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1011
37.5 IPS |
|
|
Text Classification (SP)
|
100% |
245
326.4 IPS |
|
|
Text Classification (HP)
|
100% |
203
271.5 IPS |
|
|
Text Classification (Q)
|
88% |
309
417.0 IPS |
|
|
Machine Translation (SP)
|
100% |
417
7.18 IPS |
|
|
Machine Translation (HP)
|
100% |
335
5.77 IPS |
|
|
Machine Translation (Q)
|
50% |
199
7.05 IPS |
