Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
20
Single Precision Score
20
Half Precision Score
10
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 30 2026 10:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S21 Ultra 5G |
| Model ID | samsung SM-G998B |
| Motherboard | exynos2100 |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 1 part 529 revision 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
6.36 KIPS |
|
|
Image Classification (HP)
|
0% |
0
6.37 KIPS |
|
|
Image Classification (Q)
|
0% |
0
6.52 KIPS |
|
|
Image Segmentation (SP)
|
73% |
40297
696.4 IPS |
|
|
Image Segmentation (HP)
|
73% |
39373
680.4 IPS |
|
|
Image Segmentation (Q)
|
73% |
94763
1.64 KIPS |
|
|
Pose Estimation (SP)
|
0% |
0
1.90 KIPS |
|
|
Pose Estimation (HP)
|
0% |
0
1.99 KIPS |
|
|
Pose Estimation (Q)
|
0% |
0
5.17 KIPS |
|
|
Object Detection (SP)
|
0% |
0
2.78 KIPS |
|
|
Object Detection (HP)
|
0% |
0
2.74 KIPS |
|
|
Object Detection (Q)
|
0% |
0
2.12 KIPS |
|
|
Face Detection (SP)
|
0% |
0
877.2 IPS |
|
|
Face Detection (HP)
|
0% |
0
903.2 IPS |
|
|
Face Detection (Q)
|
0% |
0
1.40 KIPS |
|
|
Depth Estimation (SP)
|
0% |
0
1.96 KIPS |
|
|
Depth Estimation (HP)
|
0% |
0
1.66 KIPS |
|
|
Depth Estimation (Q)
|
0% |
0
1.80 KIPS |
|
|
Style Transfer (SP)
|
32% |
339371
4.26 KIPS |
|
|
Style Transfer (HP)
|
32% |
328226
4.12 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
10.2 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
4.37 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
4.38 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
465
5.48 KIPS |
|
|
Text Classification (SP)
|
29% |
891
15.4 KIPS |
|
|
Text Classification (HP)
|
29% |
878
15.2 KIPS |
|
|
Text Classification (Q)
|
29% |
559
9.66 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
19.9 IPS |
|
|
Machine Translation (HP)
|
0% |
0
19.4 IPS |
|
|
Machine Translation (Q)
|
0% |
0
14.7 IPS |
