Samsung Galaxy S21 Ultra 5G
Geekbench ML Score
1068
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2021 10:42 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy S21 Ultra 5G |
| Model ID | samsung SM-G998U1 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.07 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
991
106.2 IPS |
|
|
Image Classification (F16)
|
100% |
1794
192.2 IPS |
|
|
Image Classification (I8)
|
79% |
4945
529.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2424
15.0 IPS |
|
|
Image Segmentation (F16)
|
71% |
3605
22.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
10451
64.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
574
2.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
2022
8.18 IPS |
|
|
Pose Estimation (I8)
|
80% |
24266
98.2 IPS |
|
|
Object Detection (F32)
|
100% |
841
29.5 IPS |
|
|
Object Detection (F16)
|
100% |
1135
39.8 IPS |
|
|
Object Detection (I8)
|
56% |
1559
54.7 IPS |
|
|
Face Detection (F32)
|
100% |
571
6.56 IPS |
|
|
Face Detection (F16)
|
100% |
590
6.78 IPS |
|
|
Face Detection (I8)
|
76% |
21201
243.6 IPS |
|
|
Text Classification (F32)
|
100% |
9
3.54 IPS |
|
|
Text Classification (F16)
|
46% |
6
2.26 IPS |
|
|
Machine Translation (F32)
|
100% |
584
89.9 IPS |
|
|
Machine Translation (F16)
|
100% |
468
72.1 IPS |
