Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
363
Single Precision Score
481
Half Precision Score
511
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Tiedemate |
| Upload Date | January 03 2025 07:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
167
31.0 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.3 IPS |
|
|
Image Classification (Q)
|
99% |
405
75.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
487
7.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
421
6.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
1647
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
5971
6.97 IPS |
|
|
Pose Estimation (Q)
|
98% |
1326
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
87% |
497
39.9 IPS |
|
|
Face Detection (SP)
|
100% |
414
4.92 IPS |
|
|
Face Detection (HP)
|
100% |
418
4.96 IPS |
|
|
Face Detection (Q)
|
97% |
896
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
369
2.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
370
2.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
914
8.29 IPS |
|
|
Style Transfer (SP)
|
100% |
724
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
607
0.78 IPS |
|
|
Style Transfer (Q)
|
98% |
810
1.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
623
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
912
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
747
27.7 IPS |
|
|
Text Classification (SP)
|
100% |
80
106.6 IPS |
|
|
Text Classification (HP)
|
100% |
239
318.8 IPS |
|
|
Text Classification (Q)
|
91% |
70
93.9 IPS |
|
|
Machine Translation (SP)
|
100% |
404
6.96 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
57% |
314
7.67 IPS |
