Samsung Galaxy S21 5G
Geekbench AI Score
19
Single Precision Score
19
Half Precision Score
11
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 11 2025 11:29 AM |
| Views | 8 |
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 | 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)
|
0% |
0
7.26 KIPS |
|
|
Image Classification (HP)
|
0% |
0
7.30 KIPS |
|
|
Image Classification (Q)
|
0% |
0
8.70 KIPS |
|
|
Image Segmentation (SP)
|
73% |
25166
434.9 IPS |
|
|
Image Segmentation (HP)
|
73% |
25014
432.3 IPS |
|
|
Image Segmentation (Q)
|
73% |
82823
1.43 KIPS |
|
|
Pose Estimation (SP)
|
0% |
0
2.04 KIPS |
|
|
Pose Estimation (HP)
|
0% |
0
2.04 KIPS |
|
|
Pose Estimation (Q)
|
0% |
0
6.48 KIPS |
|
|
Object Detection (SP)
|
0% |
0
2.95 KIPS |
|
|
Object Detection (HP)
|
0% |
0
2.97 KIPS |
|
|
Object Detection (Q)
|
0% |
0
2.38 KIPS |
|
|
Face Detection (SP)
|
0% |
0
724.0 IPS |
|
|
Face Detection (HP)
|
0% |
0
739.0 IPS |
|
|
Face Detection (Q)
|
0% |
0
1.54 KIPS |
|
|
Depth Estimation (SP)
|
0% |
0
2.29 KIPS |
|
|
Depth Estimation (HP)
|
0% |
0
2.33 KIPS |
|
|
Depth Estimation (Q)
|
0% |
0
2.31 KIPS |
|
|
Style Transfer (SP)
|
32% |
328431
4.12 KIPS |
|
|
Style Transfer (HP)
|
32% |
329884
4.14 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
11.2 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
4.88 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
4.91 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
649
7.65 KIPS |
|
|
Text Classification (SP)
|
29% |
1192
20.6 KIPS |
|
|
Text Classification (HP)
|
29% |
1192
20.6 KIPS |
|
|
Text Classification (Q)
|
29% |
826
14.3 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
15.7 IPS |
|
|
Machine Translation (HP)
|
0% |
0
15.5 IPS |
|
|
Machine Translation (Q)
|
0% |
0
12.5 IPS |
