Samsung Galaxy S21 Ultra 5G
Geekbench ML Score
681
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 23 2022 07:43 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
386
41.4 IPS |
|
|
Image Classification (F16)
|
100% |
367
39.3 IPS |
|
|
Image Classification (I8)
|
81% |
376
40.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
594
3.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
600
3.71 IPS |
|
|
Image Segmentation (I8)
|
89% |
1779
11.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
457
1.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
1835
7.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
1877
7.60 IPS |
|
|
Object Detection (F32)
|
100% |
575
20.2 IPS |
|
|
Object Detection (F16)
|
99% |
911
32.0 IPS |
|
|
Object Detection (I8)
|
52% |
424
14.9 IPS |
|
|
Face Detection (F32)
|
100% |
537
6.17 IPS |
|
|
Face Detection (F16)
|
100% |
526
6.04 IPS |
|
|
Face Detection (I8)
|
75% |
490
5.63 IPS |
|
|
Text Classification (F32)
|
100% |
941
372.0 IPS |
|
|
Text Classification (F16)
|
100% |
951
376.0 IPS |
|
|
Machine Translation (F32)
|
100% |
689
106.2 IPS |
|
|
Machine Translation (F16)
|
100% |
682
105.1 IPS |
