Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
683
Single Precision Score
647
Half Precision Score
1167
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 10 2025 08:32 AM |
| Views | 2 |
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-G998B |
| 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 | 10.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
543
101.0 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.1 IPS |
|
|
Image Classification (Q)
|
100% |
810
150.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
992
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1438
1.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
1434
1.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
2104
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
269
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
83% |
773
62.5 IPS |
|
|
Face Detection (SP)
|
100% |
941
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
998
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
2018
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1170
9.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
1228
9.46 IPS |
|
|
Depth Estimation (Q)
|
64% |
1890
17.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2438
3.16 IPS |
|
|
Style Transfer (HP)
|
89% |
2450
3.18 IPS |
|
|
Style Transfer (Q)
|
98% |
4772
6.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
722
26.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
723
26.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1155
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
301
401.4 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.9 IPS |
|
|
Text Classification (Q)
|
88% |
535
720.9 IPS |
|
|
Machine Translation (SP)
|
100% |
486
8.38 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.28 IPS |
|
|
Machine Translation (Q)
|
50% |
319
11.3 IPS |
