Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
1023
Single Precision Score
933
Half Precision Score
1767
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 20 2026 12:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S21 Ultra 5G |
| Model ID | samsung SM-G998N |
| 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 | 14.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
501
93.1 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.2 IPS |
|
|
Image Classification (Q)
|
100% |
1541
286.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1796
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2353
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2348
2.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
3711
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
509
40.3 IPS |
|
|
Object Detection (HP)
|
100% |
359
28.4 IPS |
|
|
Object Detection (Q)
|
83% |
1019
82.3 IPS |
|
|
Face Detection (SP)
|
100% |
1493
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1569
18.6 IPS |
|
|
Face Detection (Q)
|
95% |
3624
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1911
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1493
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2525
23.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3142
4.08 IPS |
|
|
Style Transfer (HP)
|
89% |
3224
4.19 IPS |
|
|
Style Transfer (Q)
|
98% |
6468
8.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
982
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
881
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1563
57.9 IPS |
|
|
Text Classification (SP)
|
100% |
416
555.0 IPS |
|
|
Text Classification (HP)
|
100% |
411
548.7 IPS |
|
|
Text Classification (Q)
|
88% |
748
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
618
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
410
14.6 IPS |
