Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
745
Single Precision Score
736
Half Precision Score
1319
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | GadgetVisioi |
| Upload Date | December 20 2024 08:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 14.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
523
97.3 IPS |
|
|
Image Classification (HP)
|
100% |
486
90.5 IPS |
|
|
Image Classification (Q)
|
100% |
1418
263.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
561
9.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
517
8.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
1623
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1841
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1773
2.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
2299
2.73 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (Q)
|
83% |
801
64.7 IPS |
|
|
Face Detection (SP)
|
100% |
963
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
968
11.5 IPS |
|
|
Face Detection (Q)
|
95% |
2002
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1293
9.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
1297
10.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
1955
17.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2505
3.25 IPS |
|
|
Style Transfer (HP)
|
89% |
2456
3.19 IPS |
|
|
Style Transfer (Q)
|
98% |
4691
6.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
716
26.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
716
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1195
44.3 IPS |
|
|
Text Classification (SP)
|
100% |
317
422.6 IPS |
|
|
Text Classification (HP)
|
100% |
313
418.1 IPS |
|
|
Text Classification (Q)
|
88% |
550
742.4 IPS |
|
|
Machine Translation (SP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.18 IPS |
|
|
Machine Translation (Q)
|
50% |
313
11.1 IPS |
