Samsung Galaxy S21+ 5G
Geekbench AI Score
602
Single Precision Score
610
Half Precision Score
1098
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Jkm20 |
| Upload Date | March 03 2025 01:28 PM |
| Views | 2 |
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% |
243
45.2 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.5 IPS |
|
|
Image Classification (Q)
|
100% |
863
160.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
983
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1453
1.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1595
1.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
2139
2.54 IPS |
|
|
Object Detection (SP)
|
100% |
287
22.7 IPS |
|
|
Object Detection (HP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (Q)
|
83% |
783
63.2 IPS |
|
|
Face Detection (SP)
|
100% |
943
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
947
11.3 IPS |
|
|
Face Detection (Q)
|
95% |
1985
23.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1308
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1257
9.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
1961
18.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2543
3.30 IPS |
|
|
Style Transfer (HP)
|
89% |
2517
3.27 IPS |
|
|
Style Transfer (Q)
|
98% |
4873
6.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
702
25.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
703
25.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1171
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
134
179.4 IPS |
|
|
Text Classification (HP)
|
100% |
131
175.5 IPS |
|
|
Text Classification (Q)
|
88% |
260
351.3 IPS |
|
|
Machine Translation (SP)
|
100% |
515
8.87 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (Q)
|
50% |
311
11.0 IPS |
