Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
391
Single Precision Score
522
Half Precision Score
607
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 04:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
205
38.1 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.5 IPS |
|
|
Image Classification (Q)
|
99% |
552
103.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
407
6.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
563
9.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
581
9.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
1597
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
6114
7.13 IPS |
|
|
Pose Estimation (Q)
|
98% |
1459
1.71 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.4 IPS |
|
|
Object Detection (HP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (Q)
|
87% |
582
46.7 IPS |
|
|
Face Detection (SP)
|
100% |
459
5.46 IPS |
|
|
Face Detection (HP)
|
100% |
454
5.40 IPS |
|
|
Face Detection (Q)
|
97% |
1078
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
392
3.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
397
3.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
1039
9.42 IPS |
|
|
Style Transfer (SP)
|
100% |
806
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
634
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
860
1.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
608
22.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
885
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
822
30.5 IPS |
|
|
Text Classification (SP)
|
100% |
88
118.0 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.6 IPS |
|
|
Text Classification (Q)
|
91% |
86
115.8 IPS |
|
|
Machine Translation (SP)
|
100% |
445
7.67 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (Q)
|
57% |
368
8.99 IPS |
