Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
555
Single Precision Score
924
Half Precision Score
754
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 10 2025 08:39 AM |
| Views | 2 |
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% |
333
61.9 IPS |
|
|
Image Classification (HP)
|
100% |
631
117.3 IPS |
|
|
Image Classification (Q)
|
97% |
568
106.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1120
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1067
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3034
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
5442
6.35 IPS |
|
|
Pose Estimation (Q)
|
95% |
5300
6.21 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.1 IPS |
|
|
Object Detection (HP)
|
99% |
452
35.9 IPS |
|
|
Object Detection (Q)
|
83% |
419
33.8 IPS |
|
|
Face Detection (SP)
|
100% |
1079
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1960
23.3 IPS |
|
|
Face Detection (Q)
|
96% |
1630
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1292
9.95 IPS |
|
|
Depth Estimation (HP)
|
98% |
2184
16.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
1747
16.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4831
6.21 IPS |
|
|
Style Transfer (HP)
|
100% |
9202
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
8892
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
793
29.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1441
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1432
53.1 IPS |
|
|
Text Classification (SP)
|
29% |
11
195.7 IPS |
|
|
Text Classification (HP)
|
29% |
14
235.9 IPS |
|
|
Text Classification (Q)
|
29% |
15
251.2 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.66 IPS |
|
|
Machine Translation (HP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (Q)
|
43% |
82
4.75 IPS |
