Samsung Galaxy S21+ 5G
Geekbench AI Score
1036
Single Precision Score
1023
Half Precision Score
1878
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 01:15 PM |
| Views | 1 |
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% |
597
111.0 IPS |
|
|
Image Classification (HP)
|
100% |
578
107.6 IPS |
|
|
Image Classification (Q)
|
100% |
1605
298.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1874
30.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2392
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2331
2.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
3478
4.13 IPS |
|
|
Object Detection (SP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (HP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (Q)
|
83% |
1374
111.0 IPS |
|
|
Face Detection (SP)
|
100% |
1473
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1470
17.5 IPS |
|
|
Face Detection (Q)
|
95% |
3338
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2005
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1998
15.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3223
29.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3978
5.16 IPS |
|
|
Style Transfer (HP)
|
89% |
3957
5.14 IPS |
|
|
Style Transfer (Q)
|
98% |
7698
9.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1613
59.8 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.7 IPS |
|
|
Text Classification (HP)
|
100% |
435
580.3 IPS |
|
|
Text Classification (Q)
|
88% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
376
13.3 IPS |
