Samsung Galaxy S21 5G
Geekbench AI Score
759
Single Precision Score
748
Half Precision Score
1353
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 09 2025 03:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S21 5G |
| Model ID | samsung SM-G991B |
| 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% |
527
98.0 IPS |
|
|
Image Classification (HP)
|
100% |
543
100.9 IPS |
|
|
Image Classification (Q)
|
100% |
1515
281.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1726
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1997
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1847
2.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
2386
2.83 IPS |
|
|
Object Detection (SP)
|
100% |
259
20.6 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.1 IPS |
|
|
Object Detection (Q)
|
83% |
841
67.9 IPS |
|
|
Face Detection (SP)
|
100% |
1016
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1009
12.0 IPS |
|
|
Face Detection (Q)
|
95% |
1995
23.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1305
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1193
9.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
1927
17.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2441
3.17 IPS |
|
|
Style Transfer (HP)
|
89% |
2410
3.13 IPS |
|
|
Style Transfer (Q)
|
98% |
4997
6.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
731
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
739
27.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1188
44.0 IPS |
|
|
Text Classification (SP)
|
100% |
314
419.4 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.9 IPS |
|
|
Text Classification (Q)
|
88% |
538
725.6 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (Q)
|
50% |
320
11.3 IPS |
