Samsung Galaxy S21+ 5G
Geekbench AI Score
1128
Single Precision Score
1066
Half Precision Score
2014
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 03:25 PM |
| Views | 4 |
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% |
602
111.9 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.7 IPS |
|
|
Image Classification (Q)
|
100% |
1644
305.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
663
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1945
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2443
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2421
2.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
3745
4.44 IPS |
|
|
Object Detection (SP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (HP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (Q)
|
83% |
1491
120.4 IPS |
|
|
Face Detection (SP)
|
100% |
1553
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (Q)
|
95% |
3625
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2063
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2049
15.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2555
23.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4191
5.44 IPS |
|
|
Style Transfer (HP)
|
89% |
4080
5.30 IPS |
|
|
Style Transfer (Q)
|
98% |
6862
8.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
960
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
852
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2289
84.8 IPS |
|
|
Text Classification (SP)
|
100% |
609
813.1 IPS |
|
|
Text Classification (HP)
|
100% |
631
842.7 IPS |
|
|
Text Classification (Q)
|
88% |
1071
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
395
14.0 IPS |
