Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
16
Single Precision Score
16
Half Precision Score
8
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 02:25 AM |
| 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 | 11.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
2.98 KIPS |
|
|
Image Classification (HP)
|
0% |
0
2.99 KIPS |
|
|
Image Classification (Q)
|
0% |
0
2.65 KIPS |
|
|
Image Segmentation (SP)
|
73% |
26342
455.2 IPS |
|
|
Image Segmentation (HP)
|
73% |
26817
463.4 IPS |
|
|
Image Segmentation (Q)
|
73% |
53461
923.9 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
947.1 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
961.6 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
2.04 KIPS |
|
|
Object Detection (SP)
|
0% |
0
1.49 KIPS |
|
|
Object Detection (HP)
|
0% |
0
1.50 KIPS |
|
|
Object Detection (Q)
|
0% |
0
1.10 KIPS |
|
|
Face Detection (SP)
|
0% |
0
447.0 IPS |
|
|
Face Detection (HP)
|
0% |
0
448.1 IPS |
|
|
Face Detection (Q)
|
0% |
0
475.1 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
840.2 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
830.3 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
782.6 IPS |
|
|
Style Transfer (SP)
|
32% |
201051
2.52 KIPS |
|
|
Style Transfer (HP)
|
32% |
199798
2.51 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
4.73 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.79 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
176
2.08 KIPS |
|
|
Text Classification (SP)
|
29% |
337
5.82 KIPS |
|
|
Text Classification (HP)
|
29% |
329
5.68 KIPS |
|
|
Text Classification (Q)
|
29% |
223
3.85 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
9.89 IPS |
|
|
Machine Translation (HP)
|
0% |
0
10.3 IPS |
|
|
Machine Translation (Q)
|
0% |
0
7.57 IPS |
