Samsung Galaxy S21 5G
Geekbench AI Score
924
Single Precision Score
885
Half Precision Score
1672
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 09:17 PM |
| Views | 3 |
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% |
564
104.9 IPS |
|
|
Image Classification (HP)
|
100% |
548
101.8 IPS |
|
|
Image Classification (Q)
|
100% |
1542
286.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
617
9.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
1760
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2223
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2120
2.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
3316
3.93 IPS |
|
|
Object Detection (SP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
83% |
1363
110.1 IPS |
|
|
Face Detection (SP)
|
100% |
1402
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1153
13.7 IPS |
|
|
Face Detection (Q)
|
95% |
2742
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1705
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1514
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2542
23.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3140
4.08 IPS |
|
|
Style Transfer (HP)
|
89% |
3151
4.09 IPS |
|
|
Style Transfer (Q)
|
98% |
6701
8.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
961
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1356
50.2 IPS |
|
|
Text Classification (SP)
|
100% |
347
462.9 IPS |
|
|
Text Classification (HP)
|
100% |
340
453.2 IPS |
|
|
Text Classification (Q)
|
88% |
623
840.9 IPS |
|
|
Machine Translation (SP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (Q)
|
50% |
353
12.5 IPS |
