Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
386
Single Precision Score
505
Half Precision Score
577
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 11 2025 11:32 AM |
| Views | 8 |
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-G998N |
| 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% |
195
36.3 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.5 IPS |
|
|
Image Classification (Q)
|
99% |
520
96.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
550
8.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
532
8.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
1584
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
5987
6.99 IPS |
|
|
Pose Estimation (Q)
|
98% |
1389
1.63 IPS |
|
|
Object Detection (SP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.5 IPS |
|
|
Object Detection (Q)
|
87% |
553
44.4 IPS |
|
|
Face Detection (SP)
|
100% |
437
5.19 IPS |
|
|
Face Detection (HP)
|
100% |
435
5.16 IPS |
|
|
Face Detection (Q)
|
97% |
1030
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
380
2.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
383
2.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
1004
9.11 IPS |
|
|
Style Transfer (SP)
|
100% |
799
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
633
0.81 IPS |
|
|
Style Transfer (Q)
|
98% |
849
1.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
611
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
880
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
799
29.6 IPS |
|
|
Text Classification (SP)
|
100% |
93
124.2 IPS |
|
|
Text Classification (HP)
|
100% |
270
360.6 IPS |
|
|
Text Classification (Q)
|
91% |
78
105.5 IPS |
|
|
Machine Translation (SP)
|
100% |
435
7.48 IPS |
|
|
Machine Translation (HP)
|
100% |
418
7.21 IPS |
|
|
Machine Translation (Q)
|
57% |
356
8.71 IPS |
