Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
633
Single Precision Score
637
Half Precision Score
1157
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 08:47 PM |
| Views | 3 |
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% |
270
50.3 IPS |
|
|
Image Classification (HP)
|
100% |
290
54.0 IPS |
|
|
Image Classification (Q)
|
100% |
804
149.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
360
5.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
969
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1416
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1418
1.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
2100
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (HP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (Q)
|
83% |
756
61.1 IPS |
|
|
Face Detection (SP)
|
100% |
908
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
906
10.8 IPS |
|
|
Face Detection (Q)
|
95% |
2001
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1214
9.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
1220
9.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
1880
17.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2398
3.11 IPS |
|
|
Style Transfer (HP)
|
89% |
2398
3.11 IPS |
|
|
Style Transfer (Q)
|
98% |
4732
6.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
716
26.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
714
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1152
42.7 IPS |
|
|
Text Classification (SP)
|
100% |
306
408.8 IPS |
|
|
Text Classification (HP)
|
100% |
304
406.3 IPS |
|
|
Text Classification (Q)
|
88% |
542
730.9 IPS |
|
|
Machine Translation (SP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (Q)
|
50% |
314
11.1 IPS |
