Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
551
Single Precision Score
947
Half Precision Score
762
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 12:18 AM |
| 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% |
359
66.8 IPS |
|
|
Image Classification (HP)
|
100% |
658
122.4 IPS |
|
|
Image Classification (Q)
|
97% |
588
109.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1111
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3009
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
5287
6.17 IPS |
|
|
Pose Estimation (Q)
|
95% |
5144
6.03 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
99% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
83% |
477
38.5 IPS |
|
|
Face Detection (SP)
|
100% |
1077
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1888
22.4 IPS |
|
|
Face Detection (Q)
|
96% |
1713
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1292
9.95 IPS |
|
|
Depth Estimation (HP)
|
98% |
2192
16.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
1738
16.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4810
6.18 IPS |
|
|
Style Transfer (HP)
|
100% |
9121
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
9003
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
761
28.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1462
54.2 IPS |
|
|
Text Classification (SP)
|
29% |
10
171.7 IPS |
|
|
Text Classification (HP)
|
29% |
17
289.0 IPS |
|
|
Text Classification (Q)
|
29% |
13
230.6 IPS |
|
|
Machine Translation (SP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.83 IPS |
|
|
Machine Translation (Q)
|
43% |
81
4.69 IPS |
