Samsung Galaxy S21+ 5G
Geekbench AI Score
656
Single Precision Score
647
Half Precision Score
1171
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | berkctezc |
| Upload Date | February 02 2025 07:39 AM |
| Views | 15 |
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% |
291
54.1 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.1 IPS |
|
|
Image Classification (Q)
|
100% |
785
146.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
367
5.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
361
5.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
968
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1432
1.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
1463
1.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
2094
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (Q)
|
83% |
764
61.7 IPS |
|
|
Face Detection (SP)
|
100% |
971
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
971
11.5 IPS |
|
|
Face Detection (Q)
|
95% |
2005
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1312
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1211
9.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
1882
17.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2517
3.27 IPS |
|
|
Style Transfer (HP)
|
89% |
2402
3.12 IPS |
|
|
Style Transfer (Q)
|
98% |
4693
6.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
697
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
709
26.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1196
44.3 IPS |
|
|
Text Classification (SP)
|
100% |
296
395.1 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.3 IPS |
|
|
Text Classification (Q)
|
88% |
540
728.8 IPS |
|
|
Machine Translation (SP)
|
100% |
530
9.12 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.81 IPS |
|
|
Machine Translation (Q)
|
50% |
351
12.5 IPS |
