Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
498
Single Precision Score
712
Half Precision Score
704
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 03:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
416
77.3 IPS |
|
|
Image Classification (HP)
|
100% |
753
140.1 IPS |
|
|
Image Classification (Q)
|
99% |
699
130.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
576
9.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
971
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
939
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
277
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
352
0.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
349
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
557
44.2 IPS |
|
|
Object Detection (Q)
|
83% |
546
44.2 IPS |
|
|
Face Detection (SP)
|
100% |
1411
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
2138
25.4 IPS |
|
|
Face Detection (Q)
|
97% |
1901
22.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
582
4.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
761
5.86 IPS |
|
|
Depth Estimation (Q)
|
62% |
618
5.85 IPS |
|
|
Style Transfer (SP)
|
100% |
1232
1.58 IPS |
|
|
Style Transfer (HP)
|
100% |
2136
2.75 IPS |
|
|
Style Transfer (Q)
|
98% |
2129
2.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
385
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
630
23.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
576
21.4 IPS |
|
|
Text Classification (SP)
|
100% |
247
329.9 IPS |
|
|
Text Classification (HP)
|
100% |
253
337.3 IPS |
|
|
Text Classification (Q)
|
91% |
467
627.6 IPS |
|
|
Machine Translation (SP)
|
100% |
429
7.40 IPS |
|
|
Machine Translation (HP)
|
100% |
422
7.27 IPS |
|
|
Machine Translation (Q)
|
57% |
357
8.73 IPS |
