Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
390
Single Precision Score
512
Half Precision Score
608
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 01:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
199
37.0 IPS |
|
|
Image Classification (HP)
|
100% |
191
35.5 IPS |
|
|
Image Classification (Q)
|
99% |
529
98.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
551
8.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
556
9.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
1597
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
6071
7.08 IPS |
|
|
Pose Estimation (Q)
|
98% |
1435
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
176
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
87% |
569
45.6 IPS |
|
|
Face Detection (SP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (HP)
|
100% |
446
5.30 IPS |
|
|
Face Detection (Q)
|
97% |
1031
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
380
2.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
383
2.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
1016
9.22 IPS |
|
|
Style Transfer (SP)
|
100% |
806
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
636
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
865
1.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
625
23.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
906
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
814
30.2 IPS |
|
|
Text Classification (SP)
|
100% |
93
124.1 IPS |
|
|
Text Classification (HP)
|
100% |
270
360.2 IPS |
|
|
Text Classification (Q)
|
91% |
108
145.1 IPS |
|
|
Machine Translation (SP)
|
100% |
443
7.63 IPS |
|
|
Machine Translation (HP)
|
100% |
425
7.33 IPS |
|
|
Machine Translation (Q)
|
57% |
364
8.89 IPS |
