Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
565
Single Precision Score
951
Half Precision Score
774
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 20 2025 08:34 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% |
343
63.8 IPS |
|
|
Image Classification (HP)
|
100% |
676
125.7 IPS |
|
|
Image Classification (Q)
|
97% |
606
113.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
568
9.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
1093
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1031
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3047
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
5996
7.00 IPS |
|
|
Pose Estimation (Q)
|
95% |
5243
6.15 IPS |
|
|
Object Detection (SP)
|
100% |
316
25.1 IPS |
|
|
Object Detection (HP)
|
99% |
479
38.0 IPS |
|
|
Object Detection (Q)
|
83% |
444
35.9 IPS |
|
|
Face Detection (SP)
|
100% |
1390
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1982
23.5 IPS |
|
|
Face Detection (Q)
|
96% |
1641
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1286
9.91 IPS |
|
|
Depth Estimation (HP)
|
98% |
2260
17.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
1715
16.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4801
6.17 IPS |
|
|
Style Transfer (HP)
|
100% |
9043
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
9107
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
764
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1972
73.1 IPS |
|
|
Text Classification (SP)
|
29% |
10
169.7 IPS |
|
|
Text Classification (HP)
|
29% |
14
242.0 IPS |
|
|
Text Classification (Q)
|
29% |
13
232.2 IPS |
|
|
Machine Translation (SP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.95 IPS |
|
|
Machine Translation (Q)
|
43% |
81
4.70 IPS |
