Samsung Galaxy S21+ 5G
Geekbench AI Score
686
Single Precision Score
656
Half Precision Score
1179
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 03:47 PM |
| Views | 1 |
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-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% |
271
50.5 IPS |
|
|
Image Classification (HP)
|
100% |
285
53.0 IPS |
|
|
Image Classification (Q)
|
100% |
798
148.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
476
7.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
978
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1803
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1542
1.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
2326
2.76 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.5 IPS |
|
|
Object Detection (HP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (Q)
|
83% |
770
62.2 IPS |
|
|
Face Detection (SP)
|
100% |
974
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
974
11.6 IPS |
|
|
Face Detection (Q)
|
95% |
2016
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1343
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1303
10.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
1926
17.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2447
3.18 IPS |
|
|
Style Transfer (HP)
|
89% |
2424
3.15 IPS |
|
|
Style Transfer (Q)
|
98% |
4873
6.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
724
26.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
765
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1155
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
305
407.4 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.5 IPS |
|
|
Text Classification (Q)
|
88% |
537
724.6 IPS |
|
|
Machine Translation (SP)
|
100% |
503
8.66 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (Q)
|
50% |
317
11.3 IPS |
