Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
1058
Single Precision Score
1754
Half Precision Score
1418
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 01:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
630
117.1 IPS |
|
|
Image Classification (HP)
|
100% |
1197
222.7 IPS |
|
|
Image Classification (Q)
|
97% |
1020
190.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1070
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1886
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4767
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
9065
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8980
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
509
40.3 IPS |
|
|
Object Detection (HP)
|
99% |
948
75.2 IPS |
|
|
Object Detection (Q)
|
83% |
822
66.4 IPS |
|
|
Face Detection (SP)
|
100% |
1945
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
3684
43.8 IPS |
|
|
Face Detection (Q)
|
96% |
3023
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2569
19.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4307
33.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
3443
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7845
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16539
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16494
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2824
104.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3102
115.0 IPS |
|
|
Text Classification (SP)
|
35% |
38
349.7 IPS |
|
|
Text Classification (HP)
|
29% |
28
478.0 IPS |
|
|
Text Classification (Q)
|
29% |
27
461.8 IPS |
|
|
Machine Translation (SP)
|
100% |
539
9.29 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (Q)
|
43% |
161
9.36 IPS |
