Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
375
Single Precision Score
494
Half Precision Score
544
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 12:27 AM |
| Views | 1 |
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% |
152
28.2 IPS |
|
|
Image Classification (HP)
|
100% |
154
28.6 IPS |
|
|
Image Classification (Q)
|
99% |
404
75.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
465
7.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
418
6.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
1628
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
6112
7.13 IPS |
|
|
Pose Estimation (Q)
|
98% |
1410
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (HP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (Q)
|
87% |
562
45.1 IPS |
|
|
Face Detection (SP)
|
100% |
442
5.25 IPS |
|
|
Face Detection (HP)
|
100% |
452
5.36 IPS |
|
|
Face Detection (Q)
|
97% |
1042
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
388
2.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
386
2.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
1006
9.13 IPS |
|
|
Style Transfer (SP)
|
100% |
804
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
631
0.81 IPS |
|
|
Style Transfer (Q)
|
98% |
868
1.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
621
22.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
901
33.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
803
29.8 IPS |
|
|
Text Classification (SP)
|
100% |
92
123.2 IPS |
|
|
Text Classification (HP)
|
100% |
266
355.6 IPS |
|
|
Text Classification (Q)
|
91% |
65
87.8 IPS |
|
|
Machine Translation (SP)
|
100% |
440
7.59 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.40 IPS |
|
|
Machine Translation (Q)
|
57% |
359
8.78 IPS |
