Samsung Galaxy S21 5G
Geekbench AI Score
1004
Single Precision Score
1800
Half Precision Score
1444
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 11 2025 11:41 AM |
| 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 | 0 MHz |
| Cluster 1 | 4 Cores @ 2.21 GHz |
| Cluster 2 | 1 Core @ 2.70 GHz |
| Cluster 3 | 3 Cores @ 2.81 GHz |
| Memory Information | |
|---|---|
| Size | 7.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
627
116.7 IPS |
|
|
Image Classification (HP)
|
100% |
1533
285.1 IPS |
|
|
Image Classification (Q)
|
97% |
1048
195.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1101
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2162
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4880
5.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
9401
11.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9290
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
506
40.2 IPS |
|
|
Object Detection (HP)
|
99% |
892
70.8 IPS |
|
|
Object Detection (Q)
|
83% |
817
66.0 IPS |
|
|
Face Detection (SP)
|
100% |
2013
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
3702
44.0 IPS |
|
|
Face Detection (Q)
|
96% |
2900
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2599
20.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4362
33.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
3385
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8095
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16466
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17056
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1400
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2853
105.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2750
101.9 IPS |
|
|
Text Classification (SP)
|
29% |
20
340.2 IPS |
|
|
Text Classification (HP)
|
29% |
28
479.9 IPS |
|
|
Text Classification (Q)
|
29% |
27
465.9 IPS |
|
|
Machine Translation (SP)
|
100% |
518
8.93 IPS |
|
|
Machine Translation (HP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (Q)
|
43% |
185
10.7 IPS |
