Samsung Galaxy S21 5G
Geekbench ML Score
329
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 06 2022 01:50 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S21 5G |
| Model ID | samsung SM-G991B |
| 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 | 7.03 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
213
22.8 IPS |
|
|
Image Classification (F16)
|
100% |
212
22.7 IPS |
|
|
Image Classification (I8)
|
81% |
182
19.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
615
3.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
486
3.00 IPS |
|
|
Image Segmentation (I8)
|
89% |
704
4.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
223
0.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
223
0.90 IPS |
|
|
Pose Estimation (I8)
|
80% |
180
0.73 IPS |
|
|
Object Detection (F32)
|
100% |
312
11.0 IPS |
|
|
Object Detection (F16)
|
100% |
312
11.0 IPS |
|
|
Object Detection (I8)
|
52% |
262
9.20 IPS |
|
|
Face Detection (F32)
|
100% |
530
6.09 IPS |
|
|
Face Detection (F16)
|
100% |
529
6.08 IPS |
|
|
Face Detection (I8)
|
75% |
477
5.48 IPS |
|
|
Text Classification (F32)
|
100% |
271
107.2 IPS |
|
|
Text Classification (F16)
|
100% |
275
108.9 IPS |
|
|
Machine Translation (F32)
|
100% |
417
64.2 IPS |
|
|
Machine Translation (F16)
|
100% |
418
64.4 IPS |
