Samsung Galaxy S21+ 5G
Geekbench AI Score
443
Single Precision Score
574
Half Precision Score
689
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 01:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
217
40.4 IPS |
|
|
Image Classification (HP)
|
100% |
212
39.5 IPS |
|
|
Image Classification (Q)
|
99% |
602
112.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
458
7.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
611
9.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
1674
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
6418
7.49 IPS |
|
|
Pose Estimation (Q)
|
98% |
1589
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (Q)
|
87% |
647
51.9 IPS |
|
|
Face Detection (SP)
|
100% |
496
5.89 IPS |
|
|
Face Detection (HP)
|
100% |
493
5.86 IPS |
|
|
Face Detection (Q)
|
97% |
1185
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
430
3.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
430
3.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
1138
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
912
1.17 IPS |
|
|
Style Transfer (HP)
|
100% |
710
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
904
1.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
648
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
923
34.2 IPS |
|
|
Text Classification (SP)
|
100% |
144
191.6 IPS |
|
|
Text Classification (HP)
|
100% |
314
418.5 IPS |
|
|
Text Classification (Q)
|
91% |
139
186.5 IPS |
|
|
Machine Translation (SP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
57% |
411
10.0 IPS |
