Samsung Galaxy S21 5G
Geekbench AI Score
827
Single Precision Score
779
Half Precision Score
1462
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 01:28 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-G991B |
| 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% |
476
88.5 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.7 IPS |
|
|
Image Classification (Q)
|
100% |
1344
249.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
588
9.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
590
9.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
1560
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2240
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2102
2.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
2859
3.39 IPS |
|
|
Object Detection (SP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (HP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (Q)
|
83% |
1029
83.1 IPS |
|
|
Face Detection (SP)
|
100% |
1278
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1110
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
2801
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1963
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1384
10.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2147
19.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2550
3.31 IPS |
|
|
Style Transfer (HP)
|
89% |
2421
3.14 IPS |
|
|
Style Transfer (Q)
|
98% |
6555
8.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
708
26.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
738
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1182
43.8 IPS |
|
|
Text Classification (SP)
|
100% |
307
410.2 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.7 IPS |
|
|
Text Classification (Q)
|
88% |
531
716.6 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (HP)
|
100% |
478
8.24 IPS |
|
|
Machine Translation (Q)
|
50% |
294
10.4 IPS |
