Samsung Galaxy S21 5G
Geekbench AI Score
1097
Single Precision Score
1797
Half Precision Score
1458
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 12 2025 05:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
744
138.4 IPS |
|
|
Image Classification (HP)
|
100% |
1248
232.1 IPS |
|
|
Image Classification (Q)
|
97% |
1118
208.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2252
36.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2146
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4865
5.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
9384
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9298
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
519
41.2 IPS |
|
|
Object Detection (HP)
|
99% |
951
75.4 IPS |
|
|
Object Detection (Q)
|
83% |
836
67.5 IPS |
|
|
Face Detection (SP)
|
100% |
1933
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
3894
46.3 IPS |
|
|
Face Detection (Q)
|
96% |
3067
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2589
20.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4430
34.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
3421
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8090
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16833
21.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17287
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1411
52.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2755
101.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2852
105.7 IPS |
|
|
Text Classification (SP)
|
35% |
39
351.7 IPS |
|
|
Text Classification (HP)
|
29% |
28
485.0 IPS |
|
|
Text Classification (Q)
|
29% |
28
487.0 IPS |
|
|
Machine Translation (SP)
|
100% |
534
9.19 IPS |
|
|
Machine Translation (HP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (Q)
|
43% |
161
9.36 IPS |
