Samsung Galaxy S21 Ultra 5G
Geekbench ML Score
695
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2021 10:23 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| 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 | 10.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
451
48.3 IPS |
|
|
Image Classification (F16)
|
100% |
436
46.7 IPS |
|
|
Image Classification (I8)
|
81% |
374
40.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
667
4.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
657
4.06 IPS |
|
|
Image Segmentation (I8)
|
89% |
1595
9.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
531
2.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
1783
7.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
1675
6.78 IPS |
|
|
Object Detection (F32)
|
100% |
554
19.4 IPS |
|
|
Object Detection (F16)
|
99% |
822
28.9 IPS |
|
|
Object Detection (I8)
|
52% |
433
15.2 IPS |
|
|
Face Detection (F32)
|
100% |
600
6.89 IPS |
|
|
Face Detection (F16)
|
100% |
575
6.61 IPS |
|
|
Face Detection (I8)
|
75% |
482
5.54 IPS |
|
|
Text Classification (F32)
|
100% |
902
356.8 IPS |
|
|
Text Classification (F16)
|
100% |
919
363.6 IPS |
|
|
Machine Translation (F32)
|
100% |
676
104.2 IPS |
|
|
Machine Translation (F16)
|
100% |
678
104.4 IPS |
