Samsung Galaxy S21+ 5G
Geekbench AI Score
590
Single Precision Score
666
Half Precision Score
1188
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 02 2025 02:37 PM |
| Views | 2 |
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% |
282
52.5 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.2 IPS |
|
|
Image Classification (Q)
|
100% |
794
147.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
331
5.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
984
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1472
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1500
1.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
2128
2.52 IPS |
|
|
Object Detection (SP)
|
100% |
302
24.0 IPS |
|
|
Object Detection (HP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (Q)
|
83% |
830
67.1 IPS |
|
|
Face Detection (SP)
|
100% |
840
9.99 IPS |
|
|
Face Detection (HP)
|
100% |
1024
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
2015
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1243
9.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
1241
9.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
1964
18.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2508
3.26 IPS |
|
|
Style Transfer (HP)
|
89% |
2505
3.25 IPS |
|
|
Style Transfer (Q)
|
98% |
5012
6.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
703
26.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
713
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1138
42.2 IPS |
|
|
Text Classification (SP)
|
100% |
129
172.8 IPS |
|
|
Text Classification (HP)
|
100% |
307
410.1 IPS |
|
|
Text Classification (Q)
|
88% |
542
730.5 IPS |
|
|
Machine Translation (SP)
|
100% |
521
8.98 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.92 IPS |
|
|
Machine Translation (Q)
|
50% |
332
11.8 IPS |
